Professional Certification Program in


✅ Online Live Classes
✅ Dedicated Placement Cell
✅ 1:1 Personalised Mentorship

Upcoming Batches

🗓️ 21st June 2021

Deadline: 12th June 2021

🗓️ 3rd July 2021

Deadline: 12th July 2021

🗓️ 7th Aug 2021

Deadline: 12th Aug 2021


Schedule a Call with Career Advisor.

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Career Tracks

Explore the Most Relevant and Interesting Data Science Career Track for your Data Science Career Transition to make it Large in the Data Science Industry by learning Specialized Tools and Technologies required for a Specific Job Role

DataisGood Flagship Program for the Next Generation Data Science Professionals.

An Immersive 12-months Instructor-led program that lands you your dream job in a top-tier technology company or your money back.

✅ Solve the World’s Most Interesting Problems

Become indispensable to Data Science companies with a strong grasp of fundamentals and technical knowledge. Take up challenges in various sectors like retail, banking, finance, public policy, robotics etc and impress your potential employers.

✅ Build a Professional Data Science Project Portfolio

Your Data Science portfolio is the validation of your applied Data Science Knowledge. Showcase your skills in machine learning. predictive modelling, pattern recognition, and data visualisation while working with massive data sets.

✅ Open Doors for Amazing Job Opportunities

Equip yourself with cutting edge Data Science technologies and get unprecedented succeed. We have expert Coaches, Mentors, Industry Veterans and Instructors working with you throughout your journey. Take advantage of our industry connections, hiring partners, and alumni and unlock your true potential.

✅ Personalised Career Coaching that empowers you at every stage

Acquire interview clearing skills with mock technical interviews and project challenges. Get connected with top-tier companies. Build strong confidence with one to one support from your dedicated career coach.

Key Features

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.

Student Projects

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.

Optimize the Investments Made by a Client using Statistics and Machine Learning

Tackling a Client Project, where you have to help the customer understand the Portfolio Management and Estimation of Risks using different statistical and Financial Models. Finally, You will help the Client to Optimize his Investments by Suggesting the most appropriate Portfolio.

Estimate the Lifetime Value for the Customers of an Ecommerce Giant

Build a Machine Learning Predictive Model to Explain and articulate the Lifetime Validation and Valuation for the Customers who have ever Purchased or Visited the Ecommerce Giant using advanced Statistical Techniques and Finally Help the E-Commerce Giant to understand the Value of each Customer.

Help the Medical Experts to Choose the Best Drug for each Condition using NLP

With Coming Age, Thousands of Drugs are coming for each Medical Condition, Making it very difficult for the Medical Professionals to keep themselves Updated about the Best of the Drugs. Using Advanced Text Processing and NLP Techniques help Identify the Best Drugs for each Medical Condition using the Patient Reviews.

Capstone Project

The Capstone project will give you a taste of what data scientists go through in real life when working with data. It will allow students to create a usable/public data product that can be used to show your skills to potential employers.

Capstone Project on your Choice of Domain

Build an amazing and Powerful Capstone Project in the Domain which suits you the Most, Learn Advanced Techniques and Tools used for Building Real World Engineering Solutions with a Team of Highly Motivated Students.

Work, Consult and Collaborate With Domain Experts

You will get to Consult with Domain Experts to understand the Usage of ML Models in Real World. Brainstorm amazing Ideas for Building and Designing your Project. Get Reviews and Feedbacks from Experts.

Team of TAs for Support and Guidance

Get a Team of Teaching Assistants who will always be Ready for Supporting, Guiding, and Helping you out for Implementing your Ideas from Scratch. In addition to TAs, you will also have Access to Personalized Mentors for any type of Guidance.

Demo Day

Present your finished Project on Demo day with your Batch students to the world. Get feedback and recognition from Industry veterans and gain the confidence to speak in front of a large audience.

You will be provided Video Recording for your Demo Day Presentation.

Application Process

To enroll in the Professional certification program, you need to follow the below process. This helps us keep the quality of intake students high. It's a simple 4 step process and takes less than a week.

Step 1

Fill Online Application Form

B.Tech | BCA | MCA | BBA | Polytechnic Graduates from a recognized university min 55% marks or equivalent.

(Final Year Students also eligible)

Step 2

Admission Committee will review and Shortlist

Our team will discuss your background and career goals to make sure you’re a good fit for the program.

Step 3

Shortlisted candidates will need to pass a Screening Test

If it’s a fit, you will need to appear for a short screening test with basic technical skills.
You can pick a date and time (from available slots) for a screening test. 

If you pass the screening test, we will send you a registration link.

You’ll be one of the fewer than 15% of applicants who applied.

Step 4

Lifetime course access

We will provide students access to our lifetime available dashboard with 200+ hours of curated and personally mentored content with placement assistance.

Contact our Admission Team


Quality training starts with the right instructors. Our instructors have more than 3+ years of experience in their core domain and the capability to do so and are the core of every successful learning experience.

Nilesh Sukalikar

Technical Lead at Union Data (Full-Stack)

Sanjay Gandhi

Software Development Engineer

Siddhant Saurabh

Machine Learning Engineer at Springworks

Vidit Aggarwal

Analytics Manager at Compass Group

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

Sagnik Saha

Data Analyst at Capgemini
Background: Fresher
Education: B.Tech CSE

Sarfaraz Ahmed

Software Developer at Betaout India
Background: Fresher
Education: B.Tech CSE

Prakash Narasanagi

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


For your capstone project, you’ll tackle a real-world data problem from end to end. Develop a pitch and problem statement, source and collect relevant data, conduct an exploratory data analysis, and build a predictive model.

You’ll document and share your findings through a presentation, technical report, and non-technical summary. Throughout this Accelerator Course you’ll also compile a portfolio of projects designed to reinforce what you’ve learned in each unit. Gain hands-on experience with statistical and machine learning models, Python programming tools, recommender systems, neural networks, and more.

Not only that, You will get to Work on Projects from Topics such as Data Analytics, Data Visualization, Machine Learning, Time-series Forecasting, Deep Learning, Recommendation Engines, NLP, Chatbots, Web Scraping, Computer Vision, etc.

There is a world of job opportunities in data, data analytics, big data, and business improvement they can bring. If the numbers are right, it looks like demand will exceed supply.

There are several possible data job names required, including Data Scientist, Data Analyst, Business Analyst, and Data Specialist. It is essential to home in on the one that best suits your skills and aspirations, perhaps leaving the door open to continuous career development later.

However, be aware that people may use in many ways, sometimes even mutually. So, look at each claim to make sure that at your next work assessment or hiring interview, you consent on what the job role includes, as well as its name.

It’s up to you!

Our Remote courses offer a learning experience that allows you to learn from the comfort of home. If you have a busy travel schedule, or just want to save yourself the commute, a Remote course could be a good option for you.

Instructor Courses are Better when you want to learn everything in a Specified Manner, but if you think you are smart enough and can learn all the concepts on your own, You can opt for the selfpaced Program.

If you are a Fresher, Who is Just out of the College, then the Data Analyst Career Track is More Preferable Option for you as It is very easy to get Job Opportunities as a Data Analyst. But If you are Highly Devotional towards becoming a Data Scientist, you can choose to go with the Data Scientist Career Track as well.

Yes, Of Course,
you will get Assistance from our Teaching Assistants any time you wish.

The Teaching Assistants will help you to complete the Capstone Project if you face any difficulties. Apart from that our Mentors and Instructors will also help you to Come up with New and amazing ideas for the Capstone Project.

In Our Data Science Programs, We Train our Students using Python Programming Language, as we strongly believe that Python is a very simple Programming language to master, and Most of the Data Scientists prefer using Python Programming Language due to its Durability and adaptability.


Similarly, Coming to the BI Tool, we will be Training our Students with Tableau, as we firmly believe that Tableau is the Most Popular and powerful BI Tool, and at the same time It is very easy to master Tableau.

Yes, Definitely you can join our Batch in future if you are not able to complete your course in the Specified Time, but Only One such chance would be given.

You can join any Other Batch from Starting and avail the Services all Over again.

Not only that, You can Request a Personal Teaching Assistant, who would constantly help you evolve in your career, and also help you to complete your assignments and projects.

As an Edtech Company, Data is Good focuses on developing Overall Personality of an Individual. We not only focus on Technical Skills but also focus on Imparting Creativity, Passion, Communication Skills, Presentation Skills, Leadership Qualities etc

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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Call us on +91 88649 50180

  (Nancy Bajaj, Senior Admission Councellor)

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