#1 Advance Data Science ( Data Scientist ) Course in Delhi, India

Trained 18000+ professionals in India

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Classroom & Online Mentorship
Batch Starting: 21 Jun 2021
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Dual Credentials

Techstack Academy & Orangus

Affiliation

Orangus India

3 Months

Recommended 10-12 hrs/week

21 Jun 2021

Program Start Date

EMI options

Starting at Rs. 11,000

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Why We're Ranked #1

Comprehensive Curriculum

We make sure to deliver a high-defined curriculum based on industry standards.

Having partnered with various companies, we provide certifications post your course completion.

Our training program is tailored to meet the requirements of every aspiring child/student/ corporate irrespective of the age factor.

Personalised Mentorship

Get your hands laid on our mentorship sessions with industry experts and give a boost to your career.

Add an extravagant edge to your CV or profile by learning with us, online and/or offline.

We provide exclusive mentorship programs to pass along the knowledge learned to a junior individual within a certain field.

Dedicated Career Assistance

At Techstack, we have trainers who have years of experience and are well dedicated to providing you the knowledge you deserve.

Get exposed to varied live tools that are used by industry experts assisting to speed up your learning & output.

Diversify your skills with Techstack and buckle up to getting closer to your dreams.

Curriculum

At Techstack, we believe in providing a full-fledged course of your desire where our industry experts have designed a top-notch curriculum just for you.

  • Data Science Course Structure ( 31 Modules )
    Introduction to Data Science
    • 3 Quizzes
    • 1 Project
    • What is Analytics?
    • Different types of analytics
    • Importance of analytics in business
    • An overview of modern data science
    • Organizations using business analytics
    • How to source data
    • Data science in math and statistics
    • Programming with any language
    • Learning programming
    • Tools and techniques to help analyze better
    • This is our very first module of the Data Science course in Delhi. This course covers all the essential tools and concepts used in the data science industry, which includes machine learning, statistical inference, working with data at scale, and many more. We, at Techstack, move with a motive to provide our students with in-depth knowledge about the course we are teaching. If you choose to learn about data science certification courses in India, you will be liable to learn about a variety of sources, web APIs as well as page scraping. Explore a look at powerful techniques for analyzing your data better.
    Data and Analytics
    • 3 Quizzes
    • 1 Project
    • Basics of Data & Analytics
    • Data dictionary
    • Different types of data analytics
    • Data handling
    • Business data using excel
    • Learning how to pre-process data
    • Carry out the cluster and factor analysis
    • Apply your skills to real-life business cases
    • Unfold the power of deep neural networks
    • Connecting data science and disciplines
    • To be a data scientist is one of the most preferred fields and the suited professionals of this industry. Being one of the top data science institutes in India, we, at Techstack helps every individual to understand the ins and outs of each of the areas of our data science course that will recognize the appropriate approach to solving a problem. The basics of data analytics, dictionary, and carrying out a cluster and factor analysis will surely offer you a comprehensive look at all the buzzwords to learn and understand where they fit in the realm of data science.
    Introduction to Excel Environment
    • 3 Quizzes
    • 1 Project
    • Understanding the data calculations
    • Maintaining excel charts
    • Understanding of data tools panel
    • A Basic understanding of macro recording
    • Learning how MS Excel functions
    • Formatting of data collection
    • Understanding basic segmentation and sorting
    • Filtering & Validation MS
    • Excel charts and Pivot Table
    • Analyzing of entire excel environment
    • Get a comprehensive understanding of data science courses in Delhi NCR, by joining Techstack Academy! We help you gain immense knowledge to understand the role of ethics in Data Science along with the understanding of basic segmentation and sorting. We take the use of the concepts of probability and discrete you with random variables to excel you in excel charts and pivot tables. Our table is vast for data science course content as we also conclude modern quantitative tools namely Microsoft Excel for data analysis, especially in a business context.
    Dashboard Designing in Excel
    • 3 Quizzes
    • 1 Project
    • Introduction to Dashboards
    • Designing a Sample Dashboard
    • Ways to enhance a Dashboard
    • Advanced charting techniques
    • Different Trends and Scenario using charts
    • How to approach an excel dashboard project
    • Clever use of excel core for better functionality
    • Add interactivity to your excel reports
    • Converting excel dashboard idea to project delivery
    • Using from controls Tips and Tricks
    • This is the 4th module of our data science course, wherein you will be liable to learn beyond the basics of data science and analytics. Being the best institute for data science in Delhi NCR, we, at Techstack have designed an exclusive curriculum to serve all your requirements under one umbrella. Seeking this module, you will explore how to display the overviews and keep a track of large data. The dashboard project has an innate capability to ease the decision-making process whilst portraying all the vital parts inclusive in the data for its analysis and especially at the time of converting excel dashboard ideas until the project delivery is completed.
    Basics of Statistics
    • 3 Quizzes
    • 1 Project
    • Different types of data and its measures
    • Data required for continuous analysis
    • Distribution of probability
    • Random Varieties of statistics and its application
    • Computing the form of probability
    • Normal distribution to the central limit
    • Sampling and its theorem
    • Representation along with various graphics
    • Probability and its applications, exercises, and examples
    • Clear understanding of how it works
    • Understanding the core of statistics is a core capability to become a data scientist. Once you join our Academy, we will groom you in and out about data science and its statistics by providing you with all the information in the most feasible and the easiest way. In this particular module or data science course, you will be exploring different ways and types of data along with its measures taken. Once you are done and understand all the basics until the normal distribution to the central limit, we will take you through the next level which will teach you about sampling, applications, representation of graphics with mathematics, and so on!
    Introduction to Data Science
    • 3 Quizzes
    • 1 Project
    • What is Analytics and Data Science
    • Overview of Analytics and Data Science
    • Why is Analytics becoming popular now?
    • Application of Analytics in business
    • Terminology in Analytics
    • Various Analytics Methodologies
    • How Businesses use the Power of Analytics?
    • Various Analytics tools and their usage
    • Analytics vs. Data warehousing
    • MIS reporting
    • To attain data science certification in Delhi, you must know-how data science is a vast and comprehensive syllabus to learn. Join our academy of data science, which intends to offer you all the major pointers about how data science works and is moving forward in the field. Here, you will grasp concepts like the power of analytics, big data, statistical analysis along with having familiarity with various open sources to let you lay your hands completely onto project learning methodologies. You will also be able to discover the applicability of data science across fields and unleash your skills for data analysis to help you make data-driven decisions.
    Business Statistics and Applications
    • 3 Quizzes
    • 1 Project
    • Proper Application of programming and statistics
    • Sample v/s population probability theory
    • Probability distribution concepts
    • Types of Distribution
    • Data Description – Numerical Measures of Central Tendency Data
    • Description – Numerical Measures of Variability
    • Inferential Statistics
    • Concept of hypothesis testing
    • Variations of statistical methods
    • Tests, ANOVA, Correlations, and Chi-Square
    • Choose Techstack to gain knowledge from the best online data science courses and diversify your skills to explore a variety of concepts ranging from the application of programming and statistics to checking the probability of the distribution of concepts. You will also be learning about data description especially the numerical measures of the central tendency of data. During your tenure of learning about the application of business statistics, you will be liable to also have variations for statistical methods, tests, and correlation to other inferential statistics.
    Fundamentals of Python
    • 3 Quizzes
    • 1 Project
    • Introduction to Python
    • Installation of Python
    • Getting started with Python
    • History of Python Features of python
    • Variable Operators in Python
    • Reading and Writing data files
    • Working of Python
    • Framing of Python data
    • Python Functions and Loops
    • Merging and Sorting data
    • To excel in the field of Data Science, you must have great knowledge about Python and its understanding. Join Techstack to learn about the Python data science course where the history of the features of Python and its variables will be included. You will also learn in-depth regarding how Python functions whilst merging and sorting the data accordingly. In our module of Python under the Data science course, you will have an understanding about paving the way for computing algebraic equations eventually and having to know about the statistical models on a wide array of data.
    Data Importing/Exporting in Python
    • 3 Quizzes
    • 1 Project
    • Importing and exporting of the Data
    • Concepts of Packages
    • The Data Structure & its Types
    • Working with Database Input (( txt, dlm, Excel, CSV, etc )
    • Exporting data to various formats
    • Viewing the Data
    • Variable & Value Labels
    • Making certain amendments to export the right data
    • Analyzing the CSV or Excel file
    • Creating DataFrame in order to capture the information
    • If you are learning the data scientist course syllabus at Techstack Academy, we ensure to provide you with ultimate knowledge about how to have great knowledge about data science with python courses online. Our online/offline classes provide a wide array of essential knowledge to help you excel in extracting and exporting data, keeping in mind certain factors along with data structure and its varied types. Here, you will also learn how to analyze CSV or excel files in regard to creating Dataframe for capturing the relevant information required.
    Data Manipulation
    • 3 Quizzes
    • 1 Project
    • Introduction to Data Manipulation
    • Data manipulation steps loading vectors
    • Renaming and formatting
    • Reshaping of the data operators
    • Cleaning the data before pushing forward
    • Converting unstructured data to a structured one
    • User-defined function
    • Combining of vectors
    • Sorting and filtering the most appropriate ones
    • Different packages for Data Manipulation
    • Join us to learn about data Manipulation under the course of python for data science certification training course in Delhi, wherein we, at Techstack makes it easier for you to gain utmost knowledge about how the vectors are loaded, how to make amendments during renaming and formatting, how do we clean and convert the data right before proceeding further. We also use Data manipulation tools that will allow you to modify data to make it easier to read and organize. These tools help identify patterns in your data easily and efficiently.
    Logistic Regression
    • 3 Quizzes
    • 1 Project
    • Introduction to logistic Regression
    • Moving from Linear to Logistic Regression
    • Model assumptions and odds ration
    • Building and Validation of Logistic Regression Model
    • Model assessment and gains table
    • ROC curve and KS statistics
    • Case study
    • Time forecasting
    • Basic Techniques – Averages, Trends, Seasons, and Cycles
    • Advanced Techniques – AR Models, ARIMA, etc.
    • Join Techstack Academy to uplift your skills and dive into the world of Data science having knowledgeable skills with high-tech infrastructure and lab facilities. We also provide online and offline training, wherein our students will be accountable to know everything about how logistic regression works. We are regarded as one of the best institutes for data science in Delhi wherein our subjects include moving from linear to logistic regression along with model assessments and time forecasting for your basic and advanced techniques as you move forward with the module of learning.
    Time Series Forecasting
    • 3 Quizzes
    • 1 Project
    • Introduction to time series forecasting
    • What are time series
    • What is the need for forecasting
    • Introduction to basic tools and techniques
    • Overview of Autoregressive Moving Average
    • Plotting and planning the way out to move ahead
    • Extrapolation in the classical statistical handling of time series data
    • Advanced techniques with AR models, Arima, etc.
    • Case study
    • Analyzing the planned format
    • This is our 12th module of the Data Science course in Delhi which lays emphasis on helping our students with exclusive curriculums that are tailor-made to provide them with the right education they require to excel in the particular field. We believe there is an essential distinction in forecasting the future which seems completely unavailable but it must be estimated beforehand to make a plan and move forward with it. You will get basic information about all the tools and techniques that are to be used, with its case study. Once the plotting is completed you will always be taught upon analyzing the already planned format, again.
    Python Programming
    • 3 Quizzes
    • 1 Project
    • Introduction to Python
    • What is Python programming
    • Performing of various regressions
    • Introduction to data mining techniques using python
    • Python syntax Vs. other languages
    • Amount of loops in Python Programming
    • Programming of Python Files
    • XML and GUI progressions
    • Using various tools and utilities
    • Introduction to useful resources
    • Our Python Programming module is loaded with a number of sub-topics that are taught by the experts at Techstack Academy. This will allow you to logically analyze and learn about programming, its regressions, data mining techniques in relation to other programming languages. The python data science course runs on an interpreter system, meaning that code can be executed as soon as it is written in the most meaningful manner for the students to learn about Python easily using a variety of programming, tools, and utilities.
    Introduction to Data Analytics with Python
    • 3 Quizzes
    • 1 Project
    • Understanding the basics of Data Science and Analytics
    • Learn about Python with Data Analytics
    • Understand how to use Python and learn Scikit
    • Installation of Python Anaconda Distribution
    • Developing Python native data types
    • Basic programming of the concepts
    • Overview of Python with data science packages
    • Estimating statistical models
    • Learning to grow through simple syntax
    • Tips and Tricks to excel in Data analytics with Python
    • Join our academy to learn in-depth about data science and big data analytics course along with the understanding Python course. Here, at Techstack we are fully dedicated to giving our students the best of knowledge we can, to help them grow in their chosen field. In this module, you will learn not just one arena but will also be able to explore Python and Data analytics boh, at the same time. It is important to learn and know-how to have the basic programming to elevate your skills through simple syntax languages. Join our academy now!
    Python Basics: Basic Syntax, Data Structures
    • 3 Quizzes
    • 1 Project
    • Know about the basics of Python Learning
    • Learning about Python and its objects
    • Comparison to math and other operators
    • Functioning of the loops
    • Conditional statement
    • Functioning of the Python
    • Exception of handling data structures
    • Introduction to syntax structuring
    • Tools and techniques to be used
    • Overview of the entire module for better understanding
    • This is the 15th module of our data science course, which is bound to deliver you a comprehensive learning experience about the basics of Python in comparison to math and its operations. You will get to learn about the processes by which you will get to know the parallel relation between basic syntax along other languages. This Python Data Structure will help you understand fully what Data Structure is while providing the clearance of concepts which will give you immense knowledge to the entire module you are seeking knowledge from.
    Python Concepts (CORE)
    • 3 Quizzes
    • 1 Project
    • Overview and history of Python
    • Installation of Python
    • Overview to Python editors and IDE’s (Canopy, Jupyter, Pycharrm)
    • Understanding Jupyter notebook & customize settings
    • Concept of Packages/Libraries
    • Important packages (NumPy, SciPy, Pandas), etc.
    • Installing and loading packages with namespaces
    • Data types and data structures
    • Variables and value Labels
    • Basic value operations-mathematical, string, data reading, and writing
    • Debugging and code profiling
    • Creation of class and modules
    • Join Techstack Academy to learn the core concepts of the python course in Delhi. In this section, we are going to discuss the core Python concepts by using simple network use cases which focus on varied sub-topics inclusive of overview to the Python editors, important packages like Numpy, different data types, and structure along with basic variables and value labels. The best highlight of joining our Data Science academy portrays that we don’t necessarily explain every concept textually rather we focus better on you to practice such concepts multiple times. This is how you will learn to expand the practice with your own networking use cases.
    NUMPY Package
    • 3 Quizzes
    • 1 Project
    • What is a Numpy Package
    • How to import Numpy?
    • Array of creation for Numpy and its basic operation
    • Selecting and retrieving Data Slicing
    • Universal functioning of Numpy
    • Numpy data shape manipulation
    • Stacking and splitting arrays
    • Copies and views
    • Indexing; Arrays of indices, boolean arrays
    • Revision of the entire packages thoroughly
    • For extensive data science training, it is important to have knowledge about the Numpy Packages which is a general array processing package performing high-end performance with plenty of tools and techniques to be followed. You will have an understanding of all the outputs whilst selecting and retrieving a Data slicing. With the help of an in-depth understanding of stacking, splitting arrays, and indexing, you will be liable to have a one-to-one mapping of corresponding elements that is done to construct a new arbitrary array in the field of Data Science.
    Introduction to Pandas
    • 3 Quizzes
    • 1 Project
    • Overview of Panda Package
    • How to select data from Pandas Dataframe
    • Slicing and dicing using Pandas
    • GroupBy/Aggregate strings with Pandas
    • Ways to clean up the messy data with Pandas
    • Dropping Entries
    • Selecting Entries
    • Advantages of using Pandas
    • How Pandas are effectively used with Data Science?
    • Extracting Data from different file objects can be loaded
    • Know-how the ways where pandas can be effectively used in terms of Data Science. Choose the best data science institute in Delhi and elevate your skills with the knowledge of a variety of sub-subjects to use the Pandas package. Joining Techstack will enable you to learn about plenty of topics namely, slicing and dicing using pandas, dropping entries, extracting data with a complete overview of its operation in Python.
    Data manipulation using Pandas
    • 3 Quizzes
    • 1 Project
    • Introduction to Data Manipulation
    • Overview of Data Manipulation with the help of using Pandas
    • Data Alignment
    • Sorting and ranking the summary of manipulation
    • Statistics missing values
    • Merging Data Concatenation
    • Ways to combine Data frames pivot
    • Tools and techniques required for data manipulation
    • Duplicates binning
    • Tips and tricks to excel in the field
    • Join Techstack Academy to master the basics of pandas with us. Our data science course content delivers the utmost knowledge to help you understand real-world data, including Data alignment, figures, merging the data with sorting, and ranking the summary of manipulation. You’ll also learn how to import, clean, calculate statistics, and create visualizations using pandas to add to the power of Python!
    Pandas Package
    • 3 Quizzes
    • 1 Project
    • Introduction to Pandas
    • Ways to import Pandas
    • Object Creation
    • Series object
    • Dataframe object view
    • Selecting data by Label
    • Positioning data slicing
    • Indexing in the most feasible manner
    • Viewing of the data in-depth
    • Boolean indexing setting data
    • Under the 20th module of our Data Science course, we will make you understand Pandas' package and the ways to index its data in the most feasible and efficient manner. You can also opt for a diploma in data science at Techstack Academy. Pandas are generally referred to as PD, once they are installed into the system, you need to import the library. This module generally lays an extravagant emphasis to help students learn and gain knowledge of the positioning of data slicing, boolean indexing setting data, data frame object view, and many more.
    Python Advance: Data Mugging with Pandas
    • 3 Quizzes
    • 1 Project
    • Introduction to Python Advance
    • Applying functions to data histogramming
    • Different kinds of string methods
    • Ways to merging data; Concat, join, and append
    • Learning to reshape
    • Grouping and aggregation
    • Analysing data for missing values
    • Filling missing values
    • Removing the duplicates
    • Transforming data
    • If you are willing to look for a long-term purpose in the field of Data Science, join Techstack Academy! Here, we provide a wide array of data science courses in Delhi with placements to the students seeking the course from us. Our expert trainers are readily available to help you with everything, beginning from the start that involves applying functions to data histogramming, learning to reshape, analyzing data for missing values, filling them while removing the duplicates copy if any.
    Python Advance: Visualization With MATPLOTLIB
    • 3 Quizzes
    • 1 Project
    • Anatomy of a MatPlotLib
    • Basics of the plot
    • Containers of the MatPlotLib
    • Figures of MatPlotLib
    • Components and properties
    • Creation of static, animated, and interactive visualizations in Python
    • Axes and other graphical objects
    • Cross-platform library for making 2D plots from data in arrays
    • Tools and techniques used
    • Completed in-depth knowledge to Python Advance
    • We are one, well-renowned data science training institute in Delhi providing you in-depth knowledge about MatPlotLib which is a quick way to visualize data from Python and publication-quality figures. Our course is designed in a manner to provide you with a variety of sub-topics to help you understand better about MatPlotLib and its operating ways. This includes a cross-platform library, creation of 2D plots, figures of MatPlotLib, tools, and so on.
    Pylab and Pyplot
    • 3 Quizzes
    • 1 Project
    • Data for Matplotlib Plots
    • What is a Subplot?
    • Modifying the size of figures
    • Plotting routines with pyplot
    • Customizing your pyplot
    • Deleting an Axes
    • Setting up Plot Title, Axes Labels
    • Save a plot to an image file and PDF file
    • Generating visualizations with Pyplot
    • Amalgamation of Pylab and Pyplot
    • Learn an extensive and comprehensive curriculum in Data science by joining Techstack Academy! Here you will explore a wide variety of topics that cover various topics, that would include generating certain visualizations, the amalgamation of Pylab and Pyplot, etc. You will also discover various ways to attain tips and tricks for having a clear bifurcation between the two.
      One of the greatest benefits of joining Techstack is, they allow a clear understanding of knowledge every step of the way for your learning.
    Introduction to Machine Learning
    • 3 Quizzes
    • 1 Project
    • What is Machine Learning
    • History of Machine Learning
    • Types of Machine Learning
    • Learning How artificial intelligence relates to machine learning
    • Data science vs Machine
    • Learning Fundamentals of Machine Learning
    • Brief introduction to gradient descent
    • Overview of cross-validation model
    • Performance metrics
    • Learning supervised and unsupervised ML with examples
    • Biases associated with ML algorithm
    • Cost functions
    • If you are keen to have knowledge about Machine Learning at our institute, enroll and join us now! We offer a course in deep learning for you to understand better. The data science course syllabus at Techstack Academy lays major emphasis on focusing on concept ideas first, which will be then followed by the entire subject later. The trainers are fully dedicated to providing knowledge in-depth and are always available to clear your doubts whenever you require. Learn theoretically as well as gain practical knowledge about ML.
    Supervised Learning
    • 3 Quizzes
    • 1 Project
    • Introduction to supervised learning
    • Model Complexity
    • Generalization
    • Performance and Connection between Model
    • Complexity and Generalization
    • Performance Importance of the feature
    • Scaling the Regularization
    • Use of cross-validation for model evaluation
    • Techniques used to create model complexities
    • Know your neighbor (KNN)
    • Know-how about support vector machines
    • Logistic Regression
    • Learn Data Science from the Industry Experts trainers at Techstack. We offer the most advanced case studies & capstone projects in our course of Data Science where you will be liable to know everything that comes under supervised learning. Our trainers provide top to bottom with practical information on all the most recent devices and strategies that are used. You can easily learn, analyze, and grow in this field by learning many topics, namely performance, and connection between models, the importance of the features, KNN, logistic regression, etc.
    Evaluation
    • 3 Quizzes
    • 1 Project
    • Understanding of Evaluation and model
    • Selection methods to optimize the learning sessions
    • Performance of machine learning models
    • Plotting graph between training and testing
    • Using grid search CV
    • Turning precisions and recalling
    • Using evaluation metrics
    • Analyzing the data in and out
    • Checking the inputs and outputs
    • Tuning with the parameters
    • Once you are thorough with the knowledge of supervised and unsupervised learning, we will take you to the next step of learning which is evaluation. Choosing a data science course is not easy, but at Techstack Academy, we make everything happen smoothly and efficiently. We will make sure that you get a complete understanding of evaluation and models learn to optimize how they work and finally check all the inputs and outputs with the usage of evaluation metrics. Make yourself ready to be an expert in the field chosen by you, at Techstack and we will take care of all your growth, thereafter.
    Advanced supervised machine learning concepts
    • 3 Quizzes
    • 1 Project
    • Complete overview of the advanced supervised ML concepts
    • Ensembling learning
    • Learning of the critical problems of data leakage in ML
    • How to detect major pitfalls and how to avoid it
    • Different types of supervised learning
    • Optimal summary of Deep Learning
    • Knowing about the neural networks
    • Regression filing of the data
    • Mandatory classification
    • Working on various algorithms
    • Advance your career in the field of Data Science. Become an advanced level data scientist by joining one of the top data science institutes in India. We, at Techstack, give access to our students with instructor LED online classes along with offline classes as per your preference. Join us to elevate your skills and know-how to detect major pitfalls coming your way in supervised learning sessions. You will also be learning various aspects regarding the mandatory classifications, regressions, and certain essential algorithms that are used.
    Unsupervised Learning- Clustering
    • 3 Quizzes
    • 1 Project
    • Introduction to unsupervised learning
    • Clustering technique- K
    • Different types of clustering
    • Documents retrieval
    • Case study of clustering
    • Similarity and dissimilarity b/w supervised and unsupervised learning
    • Unrecommended products
    • Analyzing grouped data
    • Drawing the references of the datasets
    • Maintaining a clear report after analysis
    • Learn new methods of clustering with the best data science course in Delhi. Techstack Academy focuses on delivering our students with the best of knowledge by grabbing all the necessary courses and data science syllabus around the corners. Our trainers are fully dedicated to helping you to check the quality of clustering, where you will choose intrinsic methods, namely within-cluster SSE, also known as Distortion. Apart from all this, you will also be exposed to other variants that are included in unsupervised training to help you excel in the field, be it any term.
    Reinforcement Learning
    • 3 Quizzes
    • 1 Project
    • Overview of reinforcement
    • Research to find an optimal policy
    • Android bellman equations
    • Value functioning
    • MDP evaluation (Markov Decision Process)
    • Policy Iteration
    • Value Iteration
    • Machine learning techniques
    • Strategy Planning
    • Revision of entire planning happened for reinforcement
    • Take a data science course online at Techstack Academy that intends to deliver you with nothing but the best. We educate our students in every aspect of the course they choose and start it from the very beginning to give immense knowledge about the subject. When you get under reinforcement learning, you will be liable to discover varied sub-topics including machine learning techniques, policy iteration, value functioning with android bellman equations. Your training will be based upon the input, and the model will return a state so you are in comfort to decide whether to reward or to punish the model based on its output.
    Unsupervised Learning- Deep Learning
    • 3 Quizzes
    • 1 Project
    • Introduction to unsupervised learning
    • Amalgamation of deep learning for better understanding
    • Case Study of Unsupervised Deep Learning
    • Arrangement on the basis of time
    • Predicting upcoming learnings
    • Overlooking the algorithms
    • Code Walkthrough of Unsupervised Deep Learning
    • Structuring of the data in an easy manner
    • Segmentation
    • Significance of Deep Learning
    • Boost up your skills and get ready to be an expert in data analysis only with Techstack Academy. Choose our data science certificate course to make yourself job-ready and set your career on the straight path following the topics discussed and taught by our trainers. During the course of unsupervised deep learning, you will get access to open the doors for better understanding in the field of appropriate algorithms, segmentation, an amalgamation of deep learning with other learnings along with knowing its significance within one specific arena only.
    Text Mining
    • 3 Quizzes
    • 1 Project
    • Introduction to text mining concepts
    • Finding of patterns in a text
    • Sentiment Analysis using R
    • Application of Social Media analytics
    • Collecting Twitter data with Twitter API
    • Fine-tuning of the models
    • Sentiment Analysis with the word cloud
    • Finding of text as a graph
    • Natural language processing (NLP)
    • Feature engineering with text data
    • Text mining is one of the most critical ways to analyze and process unstructured data. In order to grow exponentially in the field of Data Science, you will be required to have an exquisitely crafted exclusive curriculum that contains everything ranging from sentiment analysis to collecting social media analytics, features, finding the text as a graph, NLP, and many more. This will enable the student to learn the data science course syllabus in-depth to become an outstanding data scientist.
  • Capstone Project
  • Career Assistance: Resume building, Mock interviews, 1:1 mentorship and Career fair
  • Program Certificate from Orangus India and Techstack Academy

Languages and Tools Covered

Data Science Course Tools
Data Science Institute Tools
Data Science Training Tools
Data Science Course in Delhi Tools
Data Science Institute in Delhi Tools

Certificate from The Orangus India and TechStack Academy

Capstone Projects

Live Projects from the Partner Agency ( Orangus & Team Variance ).

5000+
Projects Completed

500+
Domains

3M+
Keywords

T

Covid-19 Case Study Analysis

Targeted analysis of Covid Cases to check it’s impact.

E

Stock Market Analysis

Enabling investors to indentify stock trend

C

Cancer Analysis

To Analyse Cancer patient trend

H

Email Spam Detection Analysis

Filter-out spam emails out of Inbox

ST

Jarvis(ShoP Automation)

To recognize & execute voice commands.

A

Movie Recommendation

To provide recommendation of movie based on saved history.

C

Santander Customer Analysis

To Predict the behaviour of a customer

K

Fraud Detection

To predict whether the customer will make a fraud or not.

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With years of experience, our faculty members are here to deliver you a high-quality learning experience both online and offline, whilst providing wings to your tech skills!

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Data Science Course Advantage

Advanced Learning:

Exquisitely crafted modules for your in-depth learning and understanding.

Equip yourself with in-trend & upcoming market-ready tools and techniques.

Attend classes at your own comfort through offline & online training sessions.

Successfully delivered hours of quality teaching to nurture your education.

Attend quizzes and examinations through our secured monitoring platform.

Gain unlimited access to every recorded session during the course.

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Data Science Institute Advantage

Advanced Understanding

Tailor-made sessions to assist your learning with live classes and video tutorials.

Seek support from our experts who are readily available to assist you at any time.

Enhance your knowledge through workshops, seminars, and webinars held regularly.

We help diversify your skills to let you deepen your expertise in your chosen field.

Get ahead with our unique programs which unlocks a vast ocean of opportunities.

Expand your horizons by attending our guest faculty lectures who are well-experienced.

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Data Science Training Advantage

Advanced Results

Get digital campus training getting onboard with experts at Techstack.

Avail authenticated certificates right after the completion of your particular course.

Reap the benefits from our placement cell with 100% job assistance.

Join Techstack Academy and meet like-minded mentors for your guidance.

Upskill your knowledge via regular assignments and assessments.

On completion, you will be self-reliant to work in an organization or be a freelancer.

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Reviews by Students

Know what our students have to say about us.

Data Science Course review

Lipika AggarwalData Science

Anyone looking to start with data science from scratch can easily look up to Techstack Academy. They provide a great learning experience. I am a beginner in DS, but the instructors of this Academy simplified the course contents.

Data Science Course in Delhi review

Rohit TyagiData Science

My experience at Techstack Academy was exceptional. I was able to grab enough knowledge about DS within a month only, as the trainers at Techstack are extremely helpful and teach the entire course content in-depth.

Data Science Training review

Aayat HussainData Science

At first, I was hesitant to join here as I was not sure I would be able to cope with the environment or not. But soon, it started to feel more like a family studying here.

Data Science institute review

Aayushi SachdevaData Science

The teachers are really good and dedicated, I will always be grateful to this institute, for providing me with the best of opportunities. Faculty members are good and very friendly with students.

Data Science Course review

Harshit AroraData Science

Data Science at Techstack Academy is taught by Prashant Sir who is extremely sweet and humble. He is always on the go to clear out the doubts of their students whenever in need.

Data Science Training review

ASHWIN MEHRAData Science

During the lockdown period, the whole world was affected badly. In those terms, we were not allowed to move out of our houses, that is when I had the need and interest to join a new course to enhance my knowledge.

Program Fee

Starting at Rs. 11,000/month

Batch Starting: 21 Jun 2021

#1 Advance Data Science ( Data Scientist ) Course

Program Duration: 3 Months
Program Certification from

100% Classroom Training

Upskill with Techstack Academy

25+ Case Studies

Become Applied Data Scientists, Applied Data engineers, Data architects, Technology architects, Solution Engineers, Technology Consultants.

Get 120+ hours of intensive learning in Data Science over 5 months.

Create portfolio-worthy projects

Start Your Own Startup

Payment Method

We have variety of payment methods in Techstack Academy.

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Data Science Course in Delhi Payment method
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Application Process

1

Fill the application form

Fill the application form to help us understand about you and all your necessary details before you move further to join Techstack.

2

Counselling Process

Take a word with our counsellor and know-how about the different subjects running at Techstack! Our cooperative process is held to give you the necessary information required.

3

Join Program

Fasten your seat belts to become an industry-expert by joining one of our courses.Get yourself acquainted with the best of the knowledge provided by Techstack Academy!

Upcoming Application Deadline

Have you filled up our forms yet? If not, then buckle-up before the batches get full! We are waiting to hear from you, and take your career onto the next level, with us!

Deadline: 21 Jun 2021

Frequently Asked Questions

What is the minimum duration of the Data Science Course?

To join our Data science classroom course in Delhi or offline course, the minimum duration of the course is three months, you can also take it forward to 6 months and then finally a diploma of 1 year. Once you choose the course of any duration, you can exceed it as per your choice and preference if you feel there is a need for you to learn more about the course. As the duration of the course increases, so do the modules differ providing more in-depth knowledge about Data Science Course.

Do you offer certifications after the course is completed?

The answer to your question is Yes. We do offer certifications post the completion of your entire course. Our certificates are authorized and well-recognized and are ISO certified which can be acknowledged anywhere you go, to provide you with a unique achievement that you must have been longing for. Our Data Science course in Delhi NCR consists of a minimum of 3 Months of course where you will only be given a ‘completion of course certificate’ and if you are opting for 6 Months or 1 Year, of course, you will get an internship letter direct from the company’s name- Orangus Digital which will benefit you in your future. Whereas, on the other hand, you will also achieve a certificate of completion, be it any course you opt for.

Are the trainers at Techstack Academy trained well?

Our trainers at Techstack have a wide experience of over 8+ years, who have worked in the most well-renowned tech companies. They lay equal emphasis on providing you with the group as well as one-on-one training if required. Get practical data science training in Delhi with our professionals and enhance your already existing skills! They will also help you out with your CV and improve your chances of success by demonstrating your skills efficiently and clearly, to help you get through in your career and make a venture in the field that you have chosen for your future endeavors. Out trainers assure greater responsibility whilst grooming them for leadership positions.

Can I clear my doubts once the classes are over?

Yes. At Techstack Academy, our trainers are readily available to clear your doubts whenever required. You can also avail of online classes or go through the recorded sessions available, which can give you a clearer understanding of the course. If you are lagging somewhere or haven't understood any topic, you can reach out to our trainers, anytime. It is mandatory to first ask for the trainer’s time and availability before you think of clearing your doubts thoroughly.

I am an undergraduate. Can I still apply for the course?

Anybody can apply for the course at Techstack Academy. There is no certain minimum age or a maximum age limit to enroll for a Data Science course in Delhi. We train students of all age groups irrespective of whether you are senior school passed, graduate, or are a little aged. Learning has no age limit. Our Academy focuses on providing education to every individual who comes in to seek knowledge from us. With a foundational and recognized certificate provided by us, you will get the same educational benefits as learning in any college.
We provide them with the utmost knowledge, with an exclusively designed curriculum that would suit them best with their preferences.

Do you offer online sessions as well?

Since everything is running digitally nowadays, we intend to offer our students the best of knowledge in both online and offline terms. If you are not comfortable in attending offline classes, you can easily avail Data Science online course at Techstack Academy where we provide you with immense knowledge whether it’s online or offline. The only difference to choose online classes would be that the amount of fee would slightly differ in comparison to the offline lectures taken. Depending on the course you choose, the online classes will be based and provided on those particular hours to the particular batch of students.

Can I avail a Demo Session before joining?

If you are willing to avail the best data science course in Delhi, joining Techstack Academy will surely provide you with demo/ trial classes for students. Just make sure that you select the subject and time of the class beforehand so that you get an independent assessment to avail the quality of teaching at our institute. We provide online as well as offline demo sessions, you can choose any as per your convenience. This will help and ensure you why to join Techstack Academy in order to build your career better in the field of Data Science.

Is there any placement facility available?

Yes, of course. The internship programs are included in the course chosen for more than 3 months of duration wherein a student can learn, grow and lay hands on the practical information of the data science course. We are regarded as the best institute for Data Science in Delhi, providing our students with an internship of nearly 45 days, if you opt for the course of 6 months, this will also include the internship letter issued for them so that it can be beneficial for them in their future purposes. If you are willing to go for a 1-year course, you will have a paid internship of 6 months. There is no internship available in the course duration of 3 months.

Are internships available?

Yes, of course. The internship programs are included in the course chosen for more than 3 months of duration wherein a student can learn, grow and lay hands on the practical information of the data science course. We are regarded as the best institute for Data Science in Delhi, providing our students with an internship of nearly 45 days, if you opt for the course of 6 months, this will also include the internship letter issued for them so that it can be beneficial for them in their future purposes. If you are willing to go for a 1-year course, you will have a paid internship of 6 months. There is no internship available in the course duration of 3 months.

Are your classes lecture-based or discussion-based?

We, at Techstack, provide a vast array of knowledge to our students by focusing on both, lecture as well as discussion-based training. We believe, having both from time to time on a regular basis helps the students to grow and learn better. This will also enable the students to portray their opinions and ideas during the discussion-based session, which will help the trainer as well as the student to have a great interactive session. To learn more, achieve better, and reach great heights, our both sessions are considered essential and worthy, as we have received various positive feedback regarding the same. Join our data science course now, and diversify your knowledge.

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Know More About Techstack

What is Data Science?

Data science is regarded as an interdisciplinary field that moves forward with the scientific methods to extract algorithms, systems processes, and insights from the structure and/or unstructured data. The importance of data and our capability to analyze, consolidate, and contextualize it relies upon the data scientists to fill this need, but there is a serious lack of qualified candidates worldwide.

If you're moving down the path to becoming a Data Scientist, then choose the best data Science course in Delhi, that serves you with immense knowledge starting from the basics to helping you transform into an expert. Make your career in the field of Data Science. Examine which questions need answering and where to find the related and relevant data, only by joining Techstack! Enhance your tech skills with us!

What is the difference between supervised and unsupervised learning?

There is a lot of difference between supervised and unsupervised learning. You will understand many aspects about it, once you join our Data Science course.

Supervised learning majorly focuses on learning the algorithms that are labeled dataset, and provides an answer key to evaluate the algorithm which is used to evaluate its accuracy on training data. An unsupervised model is referred to as the learning that provides unlabeled data and contains a certain algorithm that tries to make sense by extracting features and patterns on its own. Both the learnings have different techniques and strategies to be followed for maintaining and having to enable the user to specify an algorithm to use the desired number of output classes.

What is logistic regression?

Logistic regression is used to estimate the log odds of an event. The regression is mostly used for binary classification, which is considered for predictions of the type this or that, yes or no, A or B, etc. Logistic regression is also used for multiclass classification, but it is also used in the simplest applications. You can break the assumptions into various segments, namely- Binary output value, removal of noise, gaussian distribution, removing correlated inputs, and so on. Joining Techstack, you will be first introduced to the overview of Logistic Regression and soon will discover the entire topic in-depth regarding the data science course syllabus with our experts of Data Science.

What is the difference between Regression and classification ML techniques?

Both the subjects are included in our machine learning course wherein you will be given knowledge about the difference between Regression and Classification algorithms that are known in Supervised Learning algorithms. The major difference between the two states is that they are used to predict the continuous values such as salary, price, age, etc. whereas the classification algorithms are used to predict and classify the discrete values such as Male or Female, True or False, Spam or Not Spam, etc.

Various type of ML classification:


Logistic Regression

  • K-Nearest Neighbour
  • Support Vector Machines
  • Naïve Bayes
  • Kernel SVM
  • Decision Tree Classification
  • Random Forest Classification


Types of Regression Algorithm:

  • Simple Linear Regression
  • Decision Tree Regression
  • Polynomial Regression
  • Multiple Linear Regression
  • Support Vector Regression
  • Random Forest Regression
What is Ensemble Learning?

Ensemble learning is one of the most powerful modules of our Data Science course, inhibiting work in a manner that can foster and improve the performance of your module. The ensemble learning includes various sub-topics when taught by our experts, this may involve checking for the difference in population, difference in modeling techniques, varied hypotheses and with the difference in the initial seed etc. There are various components that are used to bifurcate and rectify any kind of error that arises within ensemble learning. The errors are provided with a proper insight, boosting the iterative techniques to increase the weight of any observation and the vice-versa.

How does data cleaning play a vital role in the analysis?

Data cleaning can help in analyzing better performance because cleaning the data from multiple sources helps to transform the data into such a format wherein the data analyst and scientist finds it easy to work with. This also enables to increase the accuracy of the model into the segment of machine learning. Once the cumbersome process is activated, the number of data sources increases exponentially with the time taken to clean the data generated by such sources. This might take upto 80% of the time to clean the data thereby making it a critical part of the analysis task.

What do you understand by a decision tree?

This is another powerful module when it comes to joining our data science course in Delhi. Decision trees work in a manner which is a tool used for classification, and prediction. This is like a flowchart which is a tree structure wherein each internal node denoting a test on any attribute. Particularly every branch provides a representation, with an outcome of the test with every leaf node holding up with a class label. The representation of the decision tree classifies by sorting the issues down handling with some high dimensional data. In general, the decision tree induction is a typical inductive approach to learn knowledge on classification.

What are the different Deep Learning Frameworks?

Deep learning is a broader term in the field of Machine Learning, which uses Artificial Neural Networks (ANN) in order to derive top level features from the input. Deep learning is the sub-branch of Machine Learning. A deep learning framework allows researchers and developers to attain the state-of-art compactly, efficiently and robustly. This helps in enabling the training and testing of models using APIs. These also provide high-level performance and better management of dependencies to segment different frameworks. Different kinds of deep learning frameworks include Tensorflow, Caffe, Pytorch, MXnet and many more. They have a tendency to match (and even exceed) the cognitive powers of the human brain.

How should you maintain a deployed model?

Maintaining a deployment requires certain skills as you must integrate a machine learning model into an existing production environment to make practical business decisions based on a particular data. People often have a misconception that maintaining a deployed model may take forever, which is not true as all you need to do is to maintain your models like you maintain a machine. Machine Learning models can get off or broken with time which sounds a little because they have no moving pieces. But to adapt strategies for this, you might be needing a change and drifts of concept part clear. Drift concept can easily approach the concept by making the window moving over time and you can thus catch drifts of concepts. This will also help by reducing issues with drifts of concepts.

What are the few Machine Learning libraries that are used?

Machine Learning is considered to be the most intense algorithm field in computer science. Python machine learning libraries have grown to the most which has now become the most preferred language for algorithm implementation. There are plenty of machine learning libraries that are used, namely- SciPy, NumPy, Theano, Pandas, Scikit-learn and many more. Python is considered as the top go-to language when it comes to choosing a data science course for your career. The above mentioned common libraries is a group of an active community that most developers create for their personal purposes and later release it to the public for their benefit.

Why choose us?

As we know, your future and careers depends on us, we make sure to deliver a holistic view of the entire syllabus that we provide, helping you attain in-depth knowledge.

Full-Fledged Curriculum

At Techstack, we deliver an amalgamation of courses beyond your field of expertise to help your career reach greater heights.

Step-By-Step Learning

We create a roadmap for your journey, starting from novice to becoming an expert.

Lifetime Support

Your journey at Techstack doesn’t end with the completion of the course, you will gain the status of Techstack Alumni for a lifetime.

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If you are keen to learn about a variety of courses that can provide you with an ultimatum of knowledge, choose Techstack! We have a International reputation for excellence due to the outstanding quality of our teaching and support, resulting in positive outcomes for your future.

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June 2019 Batch


AKASH SHARMA :I've never indulged in learning a course like this before (Remotely), but with Techstack Academy, it was possible. The trainers were so down to earth, and always had friendly behaviour and proven ready to help me with my doubts whenever required. I cannot express how great the overall content of the material was provided to me by Techstack Academy. Would definitely recommend this to my friends who are willing to join any data science course. Thank you!


NAYANIKA BANERJEE :It is very important to give your students the right to speak and have a voice of value. Therefore, Techstack Academy is the ultimate platform, that taught its students by covering all the minute details. I joined the 3-month course of Data Science, the duration seemed short but the classes offered an intensive curriculum which was designed in an exclusive manner that I was able to learn many things just in 3 months. The best part about Techstack is, they also take up practical knowledge as equal to having theoretical knowledge.


PANKAJ MEHRAI searched well and landed on the Techstack website, and was almost convinced just by looking and hearing the reviews about them. I had everything online, from my counselling to my demo session, till the course, and it has never been this easy to learn something ever before. I think it was all possible due to Techstack Academy and the faculty members who are experienced enough to let students soar high in their chosen field of specifications.


RICHA OBEROI :I was very hesitant to join the course at first, but sooner I discovered I can broaden my skills more by joining Techstack as they also provide their students with internship programs that are already included in the course. The internship was proven of utmost help to me as I was able to learn not just one but mastered every sector of data science. I was also provided with an internship experience letter, which helped me get through a great job. Thanking Techstack would not be enough, learning here has changed my life and have put a great emphasis to my knowledge and career prospects.


AAYUSHI TRIVEDI :When the goals are explicit and the progress is rewarded, everyone is prone to perform better. At Techstack Academy, it was super easy to learn things ex[ecially a challenging course like Data Science. I belonged from a non-technical background but still was able to grab the best of information all with the help of great trainers available. They assisted me well throughout the course, and used to recognise and motivate me a lot, due to which I am, what I am today! Thank you, Team Techstack for defining my future well! Now, I can proudly call myself a data science analyst, as I have tested all my knowledge practically as well as theoretically, and have passed all the assignments with good grades!

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