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Academy of Modern
Data Science & Applied A.I.

Advance Certification Program in
Data Science & A.I.

In Collaboration With

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This course is recognized by the National Skill Development Corporation , a PPP under the Ministry of Skill Development and Entrepreneurship of the Government of India. You will receive a certificate cobranded by NSDC and Skill India on successful completion.

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🚀 Kickstart Your Career in Data Science



Career Transformed

3 Months

Live Internship


12 Months

Course Curriculum


Hiring Partners

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

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.

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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

Languages and Tools Covered

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Alumini Highlight's


Global Companies

117K PA

Average CTC

183K PA

Highest CTC


Average Salary Hike

Roles Offered in Data science Field 1 Dataisgood

Data Science Batch Profile

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Industry Diversity

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Why to choose Dataisgood?

Embark on an extraordinary data science journey with Dataisgood. Our 12-month program, developed in collaboration with NAASCOM and industry experts, unveils the power of Data Science, Machine Learning, and Neural Networks. From basics to cutting-edge techniques, we offer the best in data education. Join us now to unleash your data superpowers and excel in the world of Data Science.

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This intensive three-month internship offers a valuable opportunity for learners to acquire practical experience through engaging in various industry-relevant assignments and projects. It aims to develop professional competencies and can be conveniently completed online, allowing participants to balance their studies with full-time or part-time employment commitments.

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A dedicated team of industry-expert helps you build and improve your professional portfolio, including a standout resume, an impressive GitHub presence, credibility on HackerRank, and optimizing your LinkedIn profile with relevant connections.

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Our team organizes multiple mock interviews at various levels, including HR and technical interviews, accompanied by personalized guidance and support. Industry mentors offer invaluable assistance with interview tips and strategies to help you succeed in securing positions with competitive recruiters.

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Our team organizes multiple mock interviews at various levels, including HR and technical interviews, accompanied by personalized guidance and support. Industry mentors offer invaluable assistance with interview tips and strategies to help you succeed in securing positions with competitive recruiters.

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.

The Dataisgood Advantage

Learn how to use data science techniques in practical situations and develop the skills needed to create effective Data Science career. To get ready for success in the field, take advantage of networking opportunities, individualised support, and hands-on training.

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Individualised Support and Direction

  • 1:1 Free Unlimited Doubt clearing sessions
  • 1:1 Student support
  • Challenges during hackathons to hone your talents
  • E-portfolio to display your skills
  • 1:1 Personality development classes

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Get Ready with Domain Experts

  • Learn from top Data Scientist Educators from the Country through a Live Online classroom.
  • 24X7 Support from Teaching Assistants for Help in Assignments, Discussions, and Doubts Resolutions.

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Industry Leaders for Professional Grooming

  • Know what’s Happening inside the industry, and What’s really required to make it through by engaging with Data Scientist
  • Accompany them with sessions on Hiring, Day-to-Day Life of a Data Scientists etc.

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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 Data Science.

Program Eligibility Criteria and Prerequisites


Graduation (Any Stream)
In the final year of Graduation

No programming experience needed

We'll teach you everything you need to know


A Mac/Laptop 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.



Minimum of 5 hour's self study to attend a 90 to 120 Min weekend session.


Communication Skills

Sound Knowledge of English Language.

Our Hiring Partners

Application Process

Step 1 Dataisgood

Career Counselling

Data Science Career Counsellor will reach out for understanding the eligibility. If a student is eligible for the program. The Student will be shared an acceptance letter.

Step 2 Dataisgood

Easy Registration

After receiving an acceptance letter students can book their seats by paying the Booking amount.

Step 3 Dataisgood

Start Upskilling

Start your learning journey with Dataisgood and unlock your potential of reaching greater heights in the field of Data Science.

Upcoming Application Deadline

Once the required amount of applicants sign up for the subsequent batch, our admissions are closed. To guarantee your spots, apply early.

Deadline : July 15, 2024

Join more than 4,00,000 Students worldwide

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 career ahead.

Frequently Asked Questions

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.

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.

You will get access to unlimited doubt resolution sessions any time as per your convenience. We have a team of highly skilled subject matter experts who are available through out the course duration to help you. You can request for doubt resolution session directly through out WhatsApp communication channel.

This programme is designed for students looking to start career into the data domain. Considering the requirements of different data roles in the industry, the curriculum is divided into two tracks. The track will run for the first 5-6 months that where you will get to learn Basics of SQL, Python, Statistics and EDA. In the second track you will get to learn more advanced content such as Basic Machine Learning Models, Advanced Machine Learning, Neural Networks, Advanced Machine Learning, Natural Language Processing, Building Data Pipelines, Data Streaming and AutoML.

You will require to dedicate atleast 12-15 hours per week to fully learn and understand the basic concepts covered during the course. This much time commitment is expected to be able to achieve complete learning outcomes offered from the programme.

The content will be a mix of interactive lectures from industry leaders as well as Expert faculties. Additionally, the programme comprises of live lectures, Ebooks, Study Notes, Self Learning Materials, Practice Datasets and Projects which will enhance your learning experience. Case studies and group projects will also facilitate peer-to-peer interactions.

Yes, Of course.

Additionally you will also get a certificate for the completion of your Capstone Project towards the end of the Programme.


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