Professional Certification Program in


Transform your Career

Data Science : An Intensive Program backed with Real World Projects and Industry Experts to get you your Dream Job.

About the Course

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

Learn From Experienced Developers

Every class is led by industry-seasoned experts that must prove their instructional excellence.

Graduate with a Project Portfolio

All bootcampers will complete five, portfolio-worthy projects that will impress employers.

Get Career Support Until You’re Hired

We offer personalized career support and will help connect you with an extensive list of hiring partners.

Join a Lifelong Community

Be welcomed into a community of active data professionals through our alumni network


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
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
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

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 to T-tests, Z-tests, F-tests
  • Introduction to Chi-squared Tests
  • Comparison of Statistical Tests



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



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

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
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
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
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
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.

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 carrer ahead.

100+ Hours of
Instructor-Led Training

200+ Hours of Self Paced

500+ Exercises and

Dedicated Career Coach

Professional Certification

24/7 Support

Program Eligibility Criteria and Prerequisites

   ✅ Must be a Graduate or in the Final year of Graduation.

   ✅ No programming experience needed - We'll teach you everything you need to know

   ✅ A Mac or PC computer with access to the internet

   ✅ We'll walk you through, step-by-step how to get all the software installed and setup.

   ✅ Sound Knowledge of English Language.

Career Support

Get Ready with Domain Experts:

Learn from top Full Stack Web Developer Educators from the Country through a Live Online classroom. 24X7 Support from Teaching Assistants for Help in Assignments, Discussions, and Doubts Resolutions.

Industry Leaders for Professional Grooming:

Know what’s Happening inside the industry, and What’s really required to make it through by engaging with Web Developers and accompany them with sessions on Hiring, Day-to-Day Life of a Full Stack Developer etc.

Benefit of Networking with Professionals:

Grow and Develop your Career with the Help of similarly motivated and Highly energetic Peers. Get to know How our Alumni Started their Career in the Emerging Field of Full Stack Web Development.

Success Stories

Meet some of our Extremely Talented and Hardworking Alumnus 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.

Rashid Ahemad

Data Analyst at DoorDash

Background : Fresher
Education : MBA

Licel Silvestre

Data scientist at Revolut

Background : Fresher
Education :

Helen Martin

Data analyst at Databricks

Background : Fresher
Education : MBA

Fariya Siddiqui

Software Engineer at nuro

Background : IT Fresher
Education : B.Tech

Debra Sanchez

Data Scientist at Hopin

Background : Content Mananger
Education : MBA

Darrell Leonard

Sr Data Scientist at Databricks

Background : IT Fresher
Education :

Carter Park

Data Analyst at Hopin

Background : Fresher
Education : MBA

Baiyana Zehra

Data Scientist at Revolt

Background : Intern
Education : MBA

Andrea Reed

Data Analyst at nuro

Background : Content Writer
Education : MBA

Joni Vera

Data Scientist at Databricks

Background : CS Student
Education : B.Tech CSE

Prakash Narasanagi

Data Scientist at BlueCore

Background : Fresher
Education : B.Tech CSE


Software Engineer at Ugam Solutions

Background : Intern
Education : B.Sc


Data Scientist at Betaout

Background : Software Engineer
Education : B.Tech M.E

Venkatesh Chittineedi

Data Scientist at RAAcom

Background : Data Scientist
Education : B.Tech CSE

Aarti Bisht

Data Analyst at Dhruv Research

Background : Content Manager
Education : MSc Maths

Chintada Abhilash

Data Scientist at UptimeAI

Background : Fresher
Education : B.Tech M.E.

Miss Mehak Arora

Data Scientist at Betaout

Background : Fresher
Education : B.Tech ECE

Arjun Singh

Data Scientist at IBM

Background : Deployment Analytics
Education : MBA

Sagnik Saha

Data Analyst at Capgemini

Background : Fresher
Education : B.Tech Civil

Miss Asma Khan

Data Scientist at Nisum

Background : Financial Analyst
Education : B.Com
Join more than 400,000 students worldwide

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

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.


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)


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.


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.

Contact Our Admission Team