Program Course

An Immersive 12-months Instructor-led Job guarantee program that lands you your dream job in a top-tier technology company

Program Highlights

DataisGood gives you a platform that will leave no stone unturned in our bid to make you a Rockstar Data Scientist. We have meticulously planned your journey for a promising and fulfilling Data Science career ahead.


100+ Hours of Instructor-Led Training


200+ Hours of Self Paced Training


500+ Exercises and Assessments


Dedicated Career Coach


Professional Certification Programme


24/7 Support


DataisGood gives you a platform that will leave no stone unturned in our bid to make you a Rockstar Data Scientist. We have meticulously planned your journey for a promising and fulfilling Data Science career ahead.

Learn Fundamental Concepts of Excel to solve Daily Problems and Use Advanced Excel Techniques to Perform Data Analysis and Reporting by Creating Charts and Dashboards.


  • Excel for Data Analysis
  • Dashboarding and Storytelling
  • What if Analysis and Optimization
  • Statistical Modelling

Learn SQL for Querying Databases using Advanced SQL Statements and Clauses, and Python to Create Robust Solutions for Solving Complex Real World Problems.

  • SQL Fundamentals
  • Advanced Querying techniques
  • Basics of Python Programming Language
  • Functional  and OOPs Programming

Project / Assignment

Excel Dashboard: Build a Dashboard to track the Sales for an Ecommerce Store. Help the Sales Manager to understand the Effectiveness of Product Sales in different Regions and Derive some Unseen Trends and Patterns that could help him to Maximize the Productivity.

Learn to Scrape and Extract Data from Various Sources and Use Regular Expressions, Numpy, Pandas for Solving Data Science Related Problems.

  • Regular Expressions
  • Introduction to Numpy
  • Introduction to Pandas
  • Introduction to Web Scraping

Perform Advanced Query Analysis using Pivot Tables, Cross Tabulations etc and Create Advanced Interactive and Animated Data Visualizations using Python.

  • Basics of Data Analysis
  • Query Analysis using Python
  • Introduction to Advanced Data Visualizations
  • Animated and Interactive Visualizations

Project / Assignment

Players Performance Analysis: Analyze Performance metrics of players based on their skills, nationality, clubs, age etc to understand factors driving the performance of these players by using Pandas, Matplotlib, and Other Python Libraries learnt in this Module.

Perform Exploratory Data Analysis, by using Advanced Profiling Tools, and Accordingly Process and Prepare the Data by using Advanced Data Cleaning and Feature Engineering Techniques.


  • Introduction to Data Profiling
  • Introduction to Data Cleaning
  • Introduction to Data Manipulation
  • Introduction to Feature Engineering

Learn Advanced Data Transformation, Data Processing and Data Mining Techniques to Handle Specific Cases of Structured and Unstructured Data Frame using Python Programming Language.


  • Introduction to Data Transformations
  • Introduction to Data Processing
  • Introduction to Data Mining
  • Introduction to Data Preparation

Project / Assignment

Global Cost of Living: Answer the most common questions regarding living standards in different countries and understand the reasons behind them by Cleaning the Data Properly and Extensive Feature Engineering as the Data is in a Raw and Unconsumable Format.

Learn Descriptive and Inferential Statistics to Gain an In Depth Understanding about the Data by using Advanced Statistical and Probabilistic Methods.


  • Introduction to Descriptive Statistics
  • Introduction to Inferential Statistics
  • Introduction to Probability Theory
  • Introduction to Normal Distribution

Perform Confirmatory Analysis or Hypothesis Testing to Confirm your Hypothesis by using Advanced Statistical Tests and Hypothesis Testing Tools.


  • Introduction Hypothesis Testing
  • Introduction toT-tests, Z-tests, F-tests
  • Introduction to Chi-squared Tests
  • Comparison of Statistical Tests

Project / Assignment

Startups Case Study: Analyze the Indian Startups and Understand the Expanding Startups Ecosystem in India to answer some of the most Insightful and Interesting Questions by applying Different Types of Statistical Concepts learnt in this Module.

Apply and Implement Dozens of Advanced Statistical, Probabilistic, Deterministic, and Decision Based Machine Learning Models to Perform Predictive Analytics.


  • Introduction to Statistical Modelling
  • Introduction to Tree Based Models
  • Introduction to Boosting Models and Ensembles
  • Handling Imbalanced Datasets

Learn Clustering Analysis, Dimensionality Reduction Methods, Recommendation Engines, and Time series Forecasting Techniques to solve Interesting Problems.


  • Introduction to Clustering Analysis
  • Introduction to Dimensionality Reduction
  • Introduction to Recommendation Engines
  • Introduction to Time Series Forecasting

Project / Assignment

Employee Promotion Prediction: Predict whether the employee deserves Promotion based on different attributes like Age, Training Score, Region, Department, Awards, KPIs, etc. by using the Advanced Predictive Modelling Techniques learnt in this Module.

Learn Advanced Natural Language Processing for Processing the Text Data and Gain Insights from it, which can be used for Predictive analytics and etc.


  • Introduction to Text Processing
  • Introduction to Text Cleaning Methods
  • Introduction to Feature Engineering
  • Introduction to Text Extraction Techniques

Solve Amazing and Interesting Use Cases and Problems using the Concepts from NLP such as Text Classification, Text Summarization, Topic Modelling etc.


  • Introduction to N Grams Analysis
  • Introduction to Text Classification
  • Introduction to Text Summarization
  • Introduction to Topic Modelling

Project / Assignment

Drugs Prescription using Consumer Reviews: Prescribe Drugs for Each of the Medical Conditions by using the Reviews given by the Patients who consumed the Drug and Find out Important Insights within the data using the Advanced NLP Techniques learnt in this Module.

Use Advanced Deep Learning Models to Solve Highly Computational and Complex Problems Including Data in Image, Video, Audio or any other Formats.


  • Introduction to Artificial Neural Networks
  • Tips and Tricks to Build Robust Neural Networks
  • Introduction to Convolutional Neural Networks
  • Introduction to CNN Architectures

Solve Advanced Problems using the Advanced Concepts using Supervised and Unsupervised Deep Learning Predictive Models and Computer Vision Technology.


  • Introduction to Recurrent Neural Networks
  • Introduction to LSTMs
  • Introduction to Unsupervised Deep Learning
  • Introduction to Computer Vision

Project / Assignment

Fruits Identification System: Build and Train an Image Classifier which can Identify more than 50 different types of Fruits when shown in Real-time by using the Concept of Advanced Deep Learning Predictive Models especially the CNN Architectures.

Learn the Basics of Model Deployment and Deploy your AI Applications by using Flask as a Backend Tool and Heroku as a Server.


  • Basics of Frontend
  • Building APIs using Flask
  • Backend Development using Flask

Build amazing Interactive and Useful Artificial Intelligence Based Applications by Deploying the ML and DL Models using Flask and Heroku


  • Building Web Interfaces for Machine Learning Models
  • Introduction to Model Deployment
  • Deployment Flask Apps using Heroku

Project / Assignment

Precision Farming App: Build an App which can Achieve Precision Farming by suggesting Best Crops according to Climatic Factors to Optimize Agricultural Production by using Flask as Backend and then Deploy this Predictive Model on Heroku Server.

Learn Storytelling with Tableau to Create Highly Complex and Advanced Reports and Visualizations by adding Filters, Animations, Interactivity and Much More.


  • Introduction to Basic Charts and Visualization
  • Introduction to Mapping and Geospatial Visualization
  • Introduction to Filters, LOD Expressions, and Table Calculations etc

Learn to Perform Regression, Clustering and Forecasting using Advanced Scientific Functions, Also Create Dashboards and Storyboards using Tableau.


  • Feature Engineering using Tableau
  • Regression, Clustering, and Forecasting using Tableau
  • Dashboarding and StoryBoarding in Tableau

Project / Assignment

US Consumer Complaints Analysis: Build an Interactive Dashboard which can give a complete 360 degree Summary of the Dataset so that the Insights and Patterns can be utilized by the Team to Improve their Overall Consumer Experience and Satisfaction.

Learn the Basic Concepts and Fundamentals of Big Data and Big Data Tools which can help you to Manage Big Data such as PySpark and Apache Spark.


  • Introduction to Big Data
  • Introduction to PySpark
  • Introduction to Spark Basics

Know How to Handle Big Datasets by using PySpark and Apache Spark, Also Learn to Implement Machine Learning Models using Spark ML.


  • Introduction to SparkSQL, and Data Frames
  • Solving Complex ML Problems using Spark
  • Machine Learning with Spark ML

Project / Assignment

Chicago Crime Analysis: The Chicago Crime Dataset is Vast and Huge, Hence Analyzing the Data and Deriving the Insights become Impossible. Hence, Analyze this Data by using the Concept of Big Data and the Most Amazing Tool Spark which you have learnt in this Module.


World-class faculty from top academic centres and corporates across Europe and USA.

Sanjay Gandhi

Software Development Engineer

Dipti Tandon

Co-Founder | AI Matchmaking for Business

Vidit Aggarwal

Analytics Manager at Compass Group

Ayesha Tabassum

Business Intelligence and Tableau Expert

Success Stories

Meet some of our Extremely Talented and Hardworking Alumnis at DataisGood Career Transition Programs who achieved their Dream Jobs as a Data Scientist and Data Analyst in some of the Most Reputed MNCs and Startups.

Meena Sharma

Data Scientist at Tech Mahindra
Background: Financial Analyst
Education: B.Tech CSE

Ananya Mishra

Data Science Specialist at TCS
Background: Fresher
Education: BCE

Sarfaraz Ahmed

Data Scientist at Betaout
Background: Fresher
Education: B.Tech CSE

Prakash Narasanagi

Data Scientist at BlueCore
Background: Fresher
Education: B.Tech CSE

We are on a mission to create Data Science courses that will make our students not just learn the subject, but fall in ❤️ love with that subject so that they become lifelong passionate learners and explorers of that subject.

Office Location

All rights reserved. © 2019-21. || Email: [email protected] || Phone: +91 88649 50180
Data is Good, B-33, 1st Floor, Sector 6, Noida – 201301
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  (Nancy Bajaj, Senior Admission Councellor)