Professional Certification Program in
Data Science & A.I
An Intensive Program backed with Real World Projects and Industry Experts to get you your Dream Job.
Designed by mentors from
4.4/5 (1600+ ratings)
2500+ Enrolled Students

About the Course
Learn from experienced Developers
Every class is led by industry-seasoned experts that must prove their instructional excellence.
Get Career Support Until You’re Hired
We offer personalized career support and will help connect you with an extensive list of hiring partners.
Graduate with a Project Portfolio
All bootcampers will complete five, portfolio-worthy projects that will impress employers.
Join a Lifelong Community
Be welcomed into a community of active data professionals through our alumni network
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
Dedicated Career Coach
200+ Hours of Self Paced Training
Professional Certification Program
500+ Exercises and Assesment
24/7 Support
Curriculum
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
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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
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
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
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
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PROJECT/ASSIGMENT
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
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PROJECT/ASSIGMENT
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
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
Learn the Basics of Model Deployment and Deploy your AI Applications by using Flask as a Backend Tool and Heroku as a Server.
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
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
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.
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
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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.
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
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
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
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
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.

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Retail Industry
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Retail Industry
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Retail Industry
Data Science Training & Job Placement
100% Placement Assistant
We guide you to get into the best companies
50+ Career Specialists
We help you throughout you career journey

200 Students : 900 Career Partners
This Healthy ratio ensures every student gets into a good company from Dataisgood
