#1 Master in Data Science in Delhi ( Data Scientist )

• Introduction to Data Science
• What is Analytics?
• Different types of Analytics
• Importance of Analytics in Business
• Organizations using business analytics
• An overview of modern data science

• 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 first module of master in data science course in Delhi at Techstack Academy. This course is dedicated for those students who want to learn complete data science with R and python languages. We will cover all the essential tools and techniques related to the data science industry. In this module, we will teach you about analytics, its parts, what is the importance, source data, and more. We will provide you in-depth knowledge related to each module and train you to make you a complete professional. In this certification course, you will learn all the advanced and powerful techniques to analyze data.

• Basics of data and analytics
• Different types of data analytics
• Data dictionary data types
• 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

Data science is the most popular field of the present time and to be a powerful data scientist, you should know about all the preferred fields and learn from top data science institutes in Delhi. Techstack Academy is one of the most preferred institutes to learn master in data science as they have well experienced teachers and provide you with a learning approach which no other institute can provide. In this module, you will learn about basics of data and analytics with data handling and more. With the help of our trainers and course, you will be the most knowledgeable data scientist in Delhi NCR.

• Understanding of data calculations in excel
• Formatting of data calculation formatting
• MS Excel functions
• Understanding about sorting
• Filtering and validation

• MS Excel charts and Pivot table
• Understanding of data tools panel
• Basics of macro recording
• Analysing of entire excel environment
• Maintaining excel charts

This module is related to the excel environment which is very important for data science. In this module you get all the necessary techniques related to MS Excel which is used to handle the data in a proper way. Techstack Academy will help you to get wide knowledge related to the field of data science which helps you in finding the most suitable job for you to make your future. We will provide you different methods to do sorting data, concepts of probability, data collection, MS excel functions and more. This course of master in data science covers all the important tools and related techniques of MS Excel for data analysis. Enroll in our master in data science program in delhi today!

• Introduction to dashboards
• Trends and scenario using charts
• Advanced charting techniques
• Designing sample dashboard
• Form controls tips and tricks

• Enhance dashboard designing
• 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

This is the 4th module of our exclusive master in data science in Delhi at Techstack Academy. In this module, you will learn about dashboard designing in excel which is a very important part in handling data. Techstack designed this curriculum with all the required modules to serve the requirements of industries. With the help of this module, you can keep the large data and track the records of it. With the help of a dashboard, you can do decision making processes with ease and avail the data for analysis. In this module, you will learn about advanced charting techniques, control tips, and more.

• 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

To become a data specialist, you should have the core knowledge of statistics. Techstack Academy helps you in becoming an expert in data science and provides you with the information in the most feasible manner. We teach you statistics with the help of experienced trainers who give you the ways to represent data and how you can measure it. In this module, you will learn about sampling, computing probability, how to represent different graphics, what data is required for continuous analysis, and more. You can learn next level techniques related to statistics at our academy as we are providing the best master in data science training in Delhi.

• 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

Data science is a very vast field adn you need good specialisation to become a data scientist. Join Techstack Academy to learn data science for businesses and organisations under the guidance of experienced trainers. We provide you with the latest techniques of data science to help you in moving forward in your career. In this module, you will learn about analytics and data science and why these fields are so popular now. There are many analytics methodologies which you need to learn for better management. We will teach you how you can do MIS reporting and can come up with data-driven decisions.

• 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

Techstack Academy designed a naster in data science course in Delhi to provide the best training in this field and make you an expert of data science. There are many business statistics techniques you need to learn to be an expert. Business statistics and its applications are necessary to update the data and make some good insights from it to help the organisation grow. In this module, you will learn about data distribution, probability distribution, inferential statistics, hypothesis testing and more. These are the advanced methods which are necessary to handle the data in the most feasible way.

• Installation of R/ Python & R Studio
• Getting started with Python/ R
• History of Python/ R Features of python/R
• Variable Operators in Python/ R
• Reading and Writing data files to

• Python/ R Working
• Python/ R data frames
• Python / R Functions and Loops
• Special utility functions
• Merging and Sorting data

To grab the complete field of data science, you need to have the knowledge about programming languages R and python which are widely used in data handling methods. Techstack Academy has the best trainers of the field and provide you training in these programming languages from very basic to advanced level. In this module, you will learn about installation of both languages, how these languages work in different environments, what are the main utility functions, how to merge and sort data in both languages and many more. Learn from our professionals to have the best knowledge of the field.

• 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

Techstack Academy works in the field of quality learning and provides students ultimate knowledge of each module. We ensure you give you the best learning experience under the guidance of experienced trainers. We provide online and offline classes in masters in data science courses which will help you to excel your knowledge in data importing and exporting in python and R programming. When you are importing and exporting data, there are some factors you need to keep in your mind. In Our master in data science institute in Delhi, we will provide you 100% job assistance services.

• 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

This is the 10th module of master in data science course in which you are going to learn about python programming. Techstack Academy provides you the best environment to learn programming with a complete practical approach. Our trainers are completely dedicated to provide you with the best learning approach to make your future. In this module, you will learn about the installation of python programming, its operators, how to merge and sort data, how to read and write data files and more. Python programming is the most user friendly programming and very easy to learn yet most powerful language of today’s world. You need to keep focus on learning python in depth.

• 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

In this module of python programming, we will teach you some important advanced techniques related to python. We deliver you the most comprehensive learning material which will work greatly in getting dream jobs for you to build your future. You will be taught python programming in the most feasible way with python syntax, loops of python, progressions, files of python, how to use different python tools and its utilities, and more. This master in data science course will teach you what data structure is and how to do different kinds of sorting and merging of data to make use of unstructured data.

• 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

To become a data scientist, you need to learn about numpy packages in this exclusive master in data science training in Delhi. With the help of numpy packages you get high quality performance of different tools and techniques. We provide you in-depth knowledge of numpy packages with shape manipulation and how to select and retrieve data slicing. There are many factors which you will learn here like what is the universal functioning of numpy, how to index arrays and more. Numpy packages are really important for working with arrays to provide the high-performance of multi-dimensional array objects.

• 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

Data manipulation is a technique of modification of information to make it structured or in other words easy to read and understand. It helps you to obtain the in-depth insights of unstructured data to make better business decisions. In this module, you will learn about data manipulation using pandas and why you use data science. Techstack Academy designed this master in data science course in Delhi to provide you with the utmost knowledge of real-world data and how you can handle it with better ways using various tools and techniques. You will learn about how to import, and calculate different statistics to create visualizations using pandas.

• 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

Pandas packages are very important for programming in data science courses and we will provide you the most efficient way of learning pandas packages. Techstack Academy provides you with the best curriculum of data science to make you a complete expert of the field. Pandas are very important for data analysis and allows you to import data from different file formats. Panda packages allow you to apply different operations to handle that data like selecting, merging, clearing, and data wrangling. Our trainers are industry expats who have experience of around 8 to 10 years.

• 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 serious about making your career in the field of data science by becoming a data science expert, join Techstack Academy as we provide the best data science course in Delhi. We provide you in-depth knowledge related to python advance which is very necessary in this field. Our experts will train you in data munging using pandas. They will provide you with every possible skill which you need to cope up in the real industries. With our practical approach you will be able to merge data, reshaping and filling missing values easily.

• 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

Techstack Academy is one of the best master in data science institute in Delhi and we provide in-depth knowledge in each module related to data science, python and R programming. We provide you step by step ways to visualize data and design them in a way which tells better insights. In this module, you will learn about another python advanced topic MatPlotLib and its other sub-topics. It is a plotting library which is used in python language which provides object-oriented APIs for embedding plots in other applications with GUIs.

• 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 this exclusive course of data science with Techstack Academy under the supervision of industry experts. We will provide you with a variety of advanced topics, MatPlotLib plots and more. You will learn different tricks to use pylab and pyplot. Matplotlib is a complete big package where pylab and pyplot are the modules which get installed at the time of matplotlib installation. Pyplot is used to provide a state machine interface to the main plotting library where pylab provides namespace by importing functions from numpy and matplotlib.

• Installation of R & R Studio
• Getting started with R
• History of R Features of R
• Variable Operators in R
• Reading and Writing data files to

• R Working
• R data frames
• R Functions and Loops
• Special utility functions
• Merging and Sorting data

In this master in data science course in Delhi, you will learn about two different programming languages R and Python which are widely used in present time. To become a complete expert of the field, you should know both languages strongly. R is a programming language which is used for statistical computing. It is widely used in developing statistical softwares around the world. In the data science course, it is used for data analysis. In this module you will learn about the history of R, its working, data frames, functions and loops and more.

• 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 a master in data science course in Delhi advanced curriculum at Techstack Academy, we ensure you provide the best knowledge about how to get skills about data science with R programming in our online and offline courses. In our online/offline courses we provide a wide range of advanced knowledge to help you excel extracting and exporting data by keeping in mind some important factors of data structure. You will learn how to export your data to analyze in different formats regarding creating dataframes to capture the relevant data required.

• Data Manipulation Steps Loading Vectors in R
• Combining to Vectors in R Sorting
• Filtering, Renaming, Formatting, Reshaping data Operators
• Functions Loops
• Arrays

• Cleaning Data with R
• Converting Unstructured to Structured
• data Usage of Sub, gsub, regexpr, gregexpr
• R User defined Function
• R Packages for Data Manipulation

Join Techstack Academy to learn different data manipulation techniques under the sub course of R for data science certification program in Delhi. We provide you with the best techniques which makes it easier for you to learn utmost advanced topics with ease and learn about data manipulation steps loading vectors. You will learn how to clean the data before pushing forward, how to convert unstructured data to a structured one, and what are the different packages for data manipulation in R programming. With the help of these tools you can easily identify different patterns in the data efficiently.

• Need for Data Visualization
• Components of Data Visualization Utility and Limitations
• Basic visualisation tools
• Specialized visualisation tools
• How to create maps

• How to build interactive web pages using R
• Creating and customizing shiny apps
• Features of data visualisation
• Using the ggplot2 package in R to create visualization
• Practices

Join Techstack Academy to lift your skills to the next level and get ready to dive in the world of Data Science with knowledge. We have the best infrastructure and lab facilities at our institute and provide online and offline master in data science training. We provide every single detail of modules in the form of recorded sessions and e-notes. We are a popular institute and regarded as the best master in data science courses institute in Delhi. In this module, we provide you how to create maps, different visualization tools, features of data visualization and more.

• Needs and Methods of Data preparation
• Handling missing values
• Outlier treatment
• Transforming variables Derived variables
• Modifying data with Base R

• Data processing with dplyr package
• Using SQL in R
• Variable Reduction Techniques
• Factor & PCS Analysis
• Practice Assignment

This is our 22nd module of master in Data Science in Delhi in which we keep emphasis on providing our students with exclusive advanced curriculums which are specially designed to provide the best education with knowledge which they require practically in real industries. We believe that every student can build their future if they are working hard to achieve the required goals with effort. We provide you all the basic and advanced topics related to R programming and teach you how to do data preparation in R programming. In this module, you will learn about modifying data, variable reduction techniques, factor and PCS analysis and more.

• How to use Predictive Modelling
• R Linear Regression
• Logistic Regression Model Selection
• Scoring
• Dimensionality reduction techniques

• Collaborative filtering and its challenges
• Building linear regression model
• Predictive Modelling Techniques
• Different phases of Predictive Modelling
• Business Case Study ( Predictive Modelling )

Techstack Academy is dedicated towards our students and wants to provide the best education with advanced tools and techniques. Data science course is a combination of different programming languages and tools to analyse the data and make particular insights from it. Predictive modelling is a statistical method which makes use of machine learning and data mining concepts to achieve and predict future outcomes and goals with the help of historical and existing data. It mainly works by analyzing historical data and projecting a model with the possible outcomes.

• Correlation
• Assumptions of Linear Regression
• Simple Linear Regression
• MultipleLinear Regression
• Building Linear Regression Model

• Assess the overall effectiveness of the model
• Standard business outputs
• Business validation - implementation on new data
• Model Diagnostic and Validation Working
• Case Study

We designed this masters in data science course to provide you with a detailed explanation of each module which is related to data science in any manner. This is a whole curriculum with proper advanced techniques to make you a data scientist. The most commonly used techniques to investigate the relation between two quantitative variables are linear regression and correlation. Correlation techniques quantify the strength of linear relationship between variables whereas regression expresses the relation in the form of an equation.

• Moving from Linear to Logistic Regression
• Model assumptions and odds ration
• Building Logistic Regression Model
• Validation of Logistic Regression Model
• Model assessment and gains table
• ROC curve and KS statistics Case Study

• Time Series Forecasting
• What are time-series?
• Need for forecasting Trends , Seasons , Cycles
• Basic Techniques – Averages, Smoothening etc.
• Advanced Techniques – AR Models, ARIMA etc.
• Case Study

Join Techstack Academy to learn the advanced concepts related to python, R, packages, Data Science in Delhi. In this section, we teach you the concepts of logistic regression and how it is important in the data science field. We will teach you all the basic and advanced techniques related to it. Basically logistic regression is like all regression techniques which are predictive analysis. Logistic regression is used to describe data and provide the relation between one dependent binary variable and one or more nominal, interval, ordinal or ratio-level independent variables.

• 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 eager to learn data science and machine learning concepts in Delhi, join Techstack Academy now. We offer you deep concepts related to these fields to make you an expert. The curriculum of data science is dedicated to provide advanced knowledge related to machine learning fundamentals and covers all topics thoroughly. Our trainers are well experienced and provide in-depth knowledge in machine learning. They are always there to help you in clearing your doubts and give you practical knowledge related to all the topics.

• Branches of Machine Learning
• Different phases of Machine learning
• Key elements of machine learning
• What is inductive learning?
• When should you use inductive learning?

• The essence of inductive learning
• A framework for studying inductive learning
• Data preparation for modelling
• Train test split
• Evaluation of the model

In this module, we provide you with all the advanced topics related to machine learning. Machine learning is a wide concept and makes use of different learning methods to process data. Machine learning is used in many search engines to provide you efficient results, email filters to avoid spams, in websites to give you related recommendations, banking software to detect unusual activities and transactions, in phones, in apps, voice recognition and more. Machine learning is an important concept of data science course in Delhi, you should learn it with complete concentration to be an expert.

• 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 master in data science courses under the supervision of industry experts at Techstack Academy. We offer you with the most advanced tools and techniques and provide you with real time projects to work on and understand data science concepts better. You will learn supervised learning with a practical approach. Our experienced trainers will provide you with practical information related to machine learning techniques on every device you use. With the help of this approach you become an expert of the field and know about the connections between different models.

• 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 have learned supervised and unsupervised learning, you can move forward to more advanced topics like evaluation. Data science is the field which is becoming more popular day by day and to learn it well is not an easy task. You always have to stay focussed and learn techniques to analyse data well. Techstack Academy is always there to help you in learning these concepts efficiently. In this module, you will learn about turning precision and recalling, analyzing data in and out, tuning with parameters, plotting graphs between training and testing and more.

• 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

With Techstack Academy, build your career in the most growing field of Data Science. Learn how to become an advanced level data scientist by taking admission in one of the best master in data science course in Delhi. We provide our students the best trainers of this field with the top curriculum with tools. Enroll in our course now to enhance your skills and learn advanced supervised machine learning concepts with a complete practical approach. In this module, you will learn about different types of supervised learning, regressions, mandatory classifications, optimal summaries related to deep learning concepts and more.

• 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 advanced methods of clustering related to unsupervised learning in our exclusive master in data science training in Delhi. Techstack Academy is dedicated towards giving the best experience of learning to our students and continuously working in this field. We designed this syllabus by considering all the related modules of data science and combined them in one course with sub modules. In this module, you will learn about different case studies related to clustering, what are unrecommended products, how to maintain a clear report after analysis, what is the difference between supervised and unsupervised learning, and more.

• 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

You can uplift your skills with the help of our master in data science course in Delhi to become an expert of the field with Techstack Academy. After successfully completing our program, you will be regarded with certification which will be helpful in your job interviews. Our trainers will lead your way to make you a complete expert and to build your future. In this module, you will learn concepts of deep learning, different case studies related to deep learning, code walkthrough of unsupervised deep learning, segmentation and more. Enroll in one of our courses of data science today to learn from the best.

• 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

Techstack Academy has dedicatedly delivered the best curriculum related to data science courses in Delhi for many years. We are regarded as one of the top institutes to learn data science in Delhi NCR. We educate our students in a way to provide learning from complete basic level to advanced level with related tools and techniques. In this course of data science, you will learn all the deep concepts related to machine learning, python, R, deep learning. These concepts are very important to become a part of data science industries. In this module, you will learn about value functioning, machine learning techniques, strategy planning, android bellman equations and more.

• 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 the last module of master in data science course in Delhi in which you will learn about the most critical ways to analyze unstructured data and how to process it. To become a data scientist, you need to learn this exclusive curriculum with a top institute of data science. Data mining is a process which is used by organisations to turn their raw data into some important and useful information. This process is done by different softwares to look at different patterns in large batches of data. With these techniques businesses and organisations can develop more effective marketing techniques to make some profit and growth.