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FREE Master Class in
Data Science & A.I.

How To Land Your First Job In Data Science Without Having A Zero Knowledge Of Coding

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Join more than 400,000+ Data Science Aspirants worldwide

This webinar is best for:

Data Science Aspirants

Data Science aspirant who wants laser-focused guidance to start a high-demand Data-Science career.

Non-Technical Background

Comes from a completely non-technical background who has never done coding before

Zero-Coding Experience

Even if you have done a little bit of coding, but never worked as a Data Scientist

Working Professionals

Working professional who wants to upskill and to get into high paying Data Science role.

Wants Recession-Free Career

Build a recession-free career where market ups and downs don’t affect you in any way

Attendees of the cohort

A 12-month, immersive program that will help you build a growth mindset and the skills you need to succeed in your career.


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 Dataisgood

400+ Hours of Instructor-Led Training

Dedicated Dataisgood

Dedicated Career Coach

200 1 Dataisgood

150+ Hours of Self Paced Training

Professional Dataisgood

Professional Certification Program

500 Dataisgood

500+ Exercises and Assesment


24/7 Support

But, why Become a Data Scientist?

₹34.7 LPA

Experienced Data Scientist earn
an average of ₹35 Lakhs per annum


There are more than 35000 openings
for the role of Data Scientist


There are more than 6000 remote opportunities for Data Scientist

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"The goal is to turn data into information, and information into insight."

Carly Fiorina

Course 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.

  • Introduction to Python and Data Science
  • Working with Python Data Structures
  • Control Flow Statements
  • Functions in Python
  • File Handling in Python
  • Regular Expressions
  • Object Oriented Programming
  • Advanced-Data Structures in Python
  • Introduction to SQL and MySQL
  • Data Creation and Retrieval
  • Data Filtering
  • Data Analysis using aggregate functions and group by
  • Joins and Keys
  • MySQL Joins
  • Subqueries and Views
  • Window/Analytical Functions
  • Case Study
  • Introduction to Statistics
  • Probability Theory
  • Statistical Inference I
  • Statistical Inference II
  • Regression Analysis I
  • Regression Analysis II
  • Unleashing the Power of Excel
  • Data Analysis with MS Excel
  • Summarizing and Forecasting
  • Macros and Dashboarding
  • Excel Project Session
  • Extracting and Aggregating Pandas
  • Matplotlib and Seaborn
  • Plotly and Cuffinks
  • Introduction to Data Cleaning and Data Types
  • Exploring and Visualization the missing values
  • Advanced-Data Cleaning Concepts
  • Introduction to Feature Engineering
  • Feature Extraction and Transformation
  • Feature Selection and Dimensionality Reduction
  • Modeling with Linear Regression
  • Evaluating Models & Feature selection
  • Regularisation Techniques
  • Modeling with Logisitc Regression
  • Understanding other classification
    algorithm like KNN & SVM
  • Advanced Model Evaluation Techniques
  • Introduction to Clustering and K Means
  • Advanced Clustering Techniques
  • Introduction to Decision Trees
  • Implementation of Decision Trees
  • Introduction to the Concept of Bagging
  • Introduction to Concept of Random Forest
  • Introduction to Boosting
  • Introduction to extreme Gradient Boosting
  • Introduction to Imbalanced Machine Learning models
  • Introduction to Recommendation Engines
  • Introduction to Time Series Analysis
  • Preprocessing and Visualization of Time Series Data
  • Time Series Forecasting using ARIMA
  • Exponential Smoothing Models for Time Series Forecasting
  • Machine Learning Models for Time Series Forecasting
  • Time Series Forecasting using Prophet
  • NLP Fundamentals
  • Feature Engineering in NLP & Text Classification
  • Advanced-Data Cleaning for NLP text classification
  • Feature Extraction & Feature encoding for NLP
  • Introduction to Word Embeddings
  • Advanced word embeddings used to solve NLP problems
  • More about advanced NLP
  • NLP text classification end to end project from kaggle
  • Building blocks of Deep Learning
  • Understanding the Components of a Neural Network
  • Introduction to Recurrent Neural Networks
  • Overview of LSTM and GRU
  • Introduction to Bidirectional Networks
  • RNN Use Cases in the Industry
  • Introduction to Convolutional Neural Networks (CNN)
  • Overview of Transfer Learning
  • Introduction to Transformers
  • Overview of AutoEncoders

This internship is a part of the course curriculum to help you gain real experience in the Data Science domain.During this internship, you will go through various challenges which you allow to explore new skills and push your limits while learning something new during the projects.

Topics Covered :​

Technical skillset and your soft skills combine to make you employable. In order to make our learners employable, dedicatedly placement-oriented sessions are conducted while highlighting the use of Github, Linkedin, and other tools during the job search.

Topics Covered :

Select any one elective from list mention below

Tableau Power BI 1 Dataisgood

Business Intelligence Tool (Power BI / Tableau)

  • Data loading and transformation with Power Query.
  • Data visualization with charts, including various chart types.
  • Tabular visualization with Power Pivot and matrices.
  • Creating interactive dashboards.
  • Using conditional formatting for enhanced data analysis.

Computer vision Dataisgood

Deep Learning with Computer Vision

  • Introduction to Deep Learning and Computer Vision.
  • Artificial Neural Network and Convolution Neural Network.
  • Loss Functions, Optimizers, and Activation Functions.
  • Transfer Learning.
  • Object detection and object localization.

DEEP NLP Dataisgood

Deep Learning with NLP

  • Introduction to NLP & Text Preprocessing
  • Text Cleaning and Mining.
  • RNN, LSTM, Resnet, GRU.
  • Advance NLP Models Transformer and GPT-3.

Comprehensive Curriculum

The curriculum has been designed by faculty from Expert Industry Professionals and NASSCOM 


Hours of Content


Live Sessions


Tools & Software

Instructed by

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Ankit Maheshwari

Data Scientist, Serial Entrepreneur (20+ years of experience)

Ankit Maheshwari is a serial entrepreneur and a proud bootstrapper who has founded and sold multiple internet companies including Betaout (exited to Bluecore), Instamedia (exited to Valent) etc. He is listed as Asia’s one of the most inspiring young entrepreneurs and social change maker by Paragon 100 Asia, featured in BusinessWeek in BusinessWorld’s Top 30 Young Entrepreneurs in India.

His current venture is Dataisgood where he is following his life-long passion of helping students and working professionals to build a Career in Tech and data Science through engaging and specialised professional cohort based courses.

He has also served as Founding Director of Bluecore India and also Director of Data Engineering at Bluecore. Bluecore acquired his last startup Betaout in 2018. Prior to Betaout, he founded Instamedia Network – a lifestyle blog network. Instamedia was serving over 20 Million page views before it was acquired by a Dubai based Media Company. He has over 15 years of experience building startups specialised in Data Science, Big Data and AI.

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Download Brochure

Check out the program and fee details in our brochure