Mastering Python
for Data Science

Online Python Course under the
Certified AI & ML BlackBelt Plus Program

  • Learn Python from Basic to Advanced
  • Solidify your Python Coding Skills
  • Build Data Science Projects using Python
  • Mentorship for Python Interviews
  • Online Python Course that prepares you for the Data Science Industry.
  • Get Python Certification from Analytics Vidhya
For Enquiries:

+91 8368808185

Why go for Python?

  • Python has rapidly become the go-to language in the data science space and is among the first things recruiters search for in a data scientist's skill set. Programming in Python is the stepping stone into the field of data science. It powers endless applications within the domains of data analytics, Business Analytics, Machine Learning and Artificial Intelligence.
  • Many of the biggest and most popular companies like Google, NASA, Amazon, Reddit, Quora, Netflix, Uber and many more use Python.
  • Learning Python has never been so important. It powers almost all the applications of the data science industry. The AI & ML Blackbelt Plus course includes Python training and real world Python projects. Get access to Python Course Online from Analytics Vidhya.

How Can You Excel in Python?

You don’t need to be a coding wizard to master the Python coding skills. Although you must be aware of the following things -

  • Python Data Types
  • Python Data Structures
  • Python Functions And Lambda Functions
  • Data manipulation using Pandas libraries
  • Joining multiple tables in Python
  • Data Visualization and Storytelling using Matplotlib and Seaborn.

Certified AI & ML
BlackBelt Plus

Power ahead in your AI & ML Career
  • 1:1 Mentorships with Industry Practitioners
  • Comprehensive & Personalised Learning Path
  • Dedicated Interview Preparation & Support

How BlackBelt Plus prepares you for a Career in Python?


1:1 Mentorship with Industry Practitioners

  • 75+ Mentorships
  • Get clarity on each and every Python concept
  • Get personalised recommendations for career in Python

Comprehensive & Personalised Python Learning Path

  • Cutting Edge Python Curriculum
  • Work on Real Life Python Projects
  • Personalised for your goals

Prepares you for Data Science Jobs

  • Learn industry Relevant Python Skills
  • Build your Profile
  • Resume and Interview Preparation

What will you learn?

The Online Python training under the AI and ML Blackbelt Plus program will provide you with the knowledge of tools and techniques to master Python for Data Science. Here’s what you will learn in the AI and ML BlackBelt Plus program

  • Important libraries such as Pandas, NumPy.
  • How to use Matplotlib and Seaborn for data visualization.
  • Univariate and Bivariate analysis using python.
  • Statistical Analysis using Python.
  • Basic and Advanced Machine learning using Python
  • Feature Selection and Engineering using Python
  • Deep learning using Python
  • NLP using Python
  • Computer Vision using Python
  • Recommendation System using Python
  • Time-Series using Python
  • Advanced Python and software Fundamentals

Succeed with 1:1 Personalised Mentorship

Succeed with Personalised Roadmap

Get a personalised roadmap to succeed in your NLP career

1:1 Mentorship with Industry Practitioners
  • 75+ Mentorship calls
  • Rating - 4.92 / 5.00
  • Doubts and Queries - Technical
  • Industry Experienced Mentors
Assistance in Job Preparation

Mentors to guide you how to get your dream job

  • Resume & Interview Preparation
  • Profile Building - Linkedin , Github , Analytics Vidhya Community
  • 2 Mock Interviews

What does it mean to be BlackBelt Plus Certified?

BlackBelt Plus Certified Data Scientists can create cutting edge solutions and become pioneers in the space of Artificial Intelligence, pioneers who will develop AI Applications that will revolutionize life as we know it.

  • Mastery in 15+ Tools
  • Expertise in Data Science, Machine Learning & Deep Learning Subjects
  • Ability to solve real world industry problems


14+ Modules starting from basics like Excel to the most cutting edge techniques of Machine Learning, Deep Learning and NLP required by every data scientist

Data Science Tool Kit
2 Project 3 Assignment

Master Microsoft Excel

Explore Important Formulas and Functions

Create Charts and Visualizations using MS Excel

Get Familiar with MySQL

Creating and updating reports in SQL

Performing Data Analysis using SQL

Explore Python for Data Science

Important libraries and functions in Python

Reading file and manipulating data in python

Working with data frames, lists, and dictionary

Data Exploration and Statistical Inference
3 Project 4 Assignment

Use Matplotlib and Seaborn for data visualization

Creating charts to visualize data and generate insights

Univariate and Bivariate analysis using python

Perform Statistical Analysis on real-world datasets

Build and Validate Hypothesis using statistical tests

Generating useful insights from the data

Storytelling and Dashboarding
2 Project 9 Assignment

Importing and working with different kinds of data in Tableau

Build bubble charts, geo-location charts, and many others

Learn to create Dashboards in Tableau

Master storyboarding in Tableau

Learn to create engaging presentations

Perform feature engineering in Tableau

Become familiar with data manipulation in Tableau

Problem Formulation and Communication
0 Project 3 Assignment

Dealing with ambiguous business problems

Structure a business problem into a data science problem

Understanding the Machine Learning Lifecycle

Key Frameworks for each stage in ML Lifecycle

Present analysis and business insights in an impactful manner

Communicate ideas and insights to the stakeholders

Basic Machine Learning
4 Project 1 Assignment

Learn Important Machine Learning concepts

Perform data cleaning and Preprocessing

In-depth understanding of Basic ML models

Linear Models, Decision Tree, k-NN

Math Behind each Machine Learning Algorithm

Building Classification and Regression Models

Hyperparameter Tuning to improve model

Solving real-world business problems using Machine Learning

Feature Selection and Engineering
2 Project 0 Assignment

Learn the art of Feature engineering

Feature Generation from time-series data

Automated Feature Engineering Tool

Concept of dimensionality reduction

Feature Selection and Elimination Techniques

Detailed Understanding of Principal Component Analysis (PCA)

Concept of Factor Analysis

Advanced Machine Learning
4 Project 1 Assignment

Explore the Advanced ML concepts and Algorithms

Use Ensemble Learning Techniques (Stacking and Blending)

Understand and Implement Bagging and Boosting Algorithms

Learn to handle Text data and Image Data

Working with structured and unstructured data

Dealing with unsupervised learning problems

Clustering Algorithms including k-means and Hierarchical clustering

Deep Learning
5 Project 4 Assignment

Important concepts of Deep Learning

Working of Neural Network from Scratch

Activation Functions and Optimizers for Deep Learning

Understand Deep Learning architectures (MLP, CNN, RNN and more)

Explore Deep Learning Frameworks like Keras and PyTorch

Learn to tune the hyperparameters of Neural Networks

Build Deep Learning models to tackle real-life problems

Computer Vision using PyTorch
8 Project 4 Assignment

Get familiar with the world of Computer Vision

Transfer Learning for Computer Vision

Work with popular Deep Learning Framework - Pytorch

Learn State-of-the-art Algorithms like YOLO, SSD, RCNN and more

Work on different types of problems

Build Face Detection and Pose Detection Models

Advanced CV Problems like Image Segmentation and Image Generation

Understand how GANs work

Getting started with Natural Language Processing
7 Project 3 Assignment

Handling Text Data (Cleaning and Pre-processing)

Use Spacy, Rasa and Regex for exploring and processing text data

Information Extraction and Retrieval from text-based data

Understand Language Modelling

Learn Advanced Feature Engineering techniques

Build NLP models for Text Classification

Understand Topic modelling

Work on Industry Relevant Projects

NLP using Deep Learning
5 Project 2 Assignment

Understand the concept of Sequence-to-Sequence Modeling

Build a Deep Learning Model for Language translation in PyTorch

Learn to use Transformers library by Huggingface

Use Transformers to perform transfer learning in NLP

Build and Deploy your own chatbot

Learn to work with audio-based data

Build a voice assistant system using Deep Learning

Recommendation System
3 Project 1 Assignment

Recommender Systems in industry

Detailed Taxonomy of types of Recommender Systems

Collaborative Filtering Methods

Content-Based Recommender Systems

Knowledge-Based & Hybrid Recommender Systems

Market Basket Analysis & Association Rules

Evaluation of Recommender Systems

Build Book recommender System and other real-life projects

Time Series
3 Project 1 Assignment

Important concepts of Time Series Forecasting

Machine Learning techniques for Time Series forecasting

Validation techniques for Time series data

Framework to evaluate Time Series Models

Exponential Smoothing Methods for forecasting

Reading ACF and PACF plots

Tuning Parameters for ARIMA


Deep Learning for time series

Solve Real-world business problems

Career-oriented services and Data Science Interviews

Understanding the different roles in Data Science

Dos and Don'ts for Resume Building

Tips and strategies to build the perfect resume

Preparing for Data Science Interviews

Understanding the important skills required

How to build your digital Presence

Tips and Tricks to Ace Data Science Resume

List of Interview Questions for Data Science

    Overall BlackBelt Plus Stats:
  • 39+ Projects
  • 100+ Hours
  • 14+ Tools
  • 35+ Assignments
  • 75+ Mentorship Sessions

Tools You will Master in AI & ML BlackBelt Plus

Python Course Tools
Python Course Tools Pandas
Python Course Tools Matplotlib
Python Course Tools Numpy
Python Course Tools Seaborn

Reinforce Your learnings with 50+ projects

Doing projects is one of the most essential step to apply your learning and showcase in your resume.
Writing code is one thing but writing it efficiently, well that requires practice.
Python Course Projects NYC Taxi Trip Duration Prediction

NYC Taxi Trip Duration Prediction

Learning Objectives:

Understand the importance of Data Exploration ,Learn the power of Feature Engineering to improve your models.

Business Solving Similar Problems:

Uber, Lyft, Ola

Python Course Projects Customer Churn Prediction

Customer Churn Prediction

Learning Objectives:

Perform Data Exploration to understand relationship between variables ,Learn to implement Machine Learning Models

Business Solving Similar Problems:

Various Banking Institutions

Python Course Projects Webpage Classification

Webpage Classification

Learning Objectives:

Working with Text Data ,Cleaning and Preprocessing text corpus ,Implementing ML Models for text classification

Business Solving Similar Problems:

Various Banking Institutions

Python Course Projects Malaria Detection from blood cell Images

Malaria Detection from blood cell Images

Learning Objectives:

Working with Image Data, Implementing Deep Learning Models for Image Classification

Business Solving Similar Problems:

Healthcare Industry

Industry Experts & Mentors

kunal jain

Kunal Jain

Founder & CEO, Analytics Vidhya
sunil ray

Sunil Ray

Chief Content Officer at Analytics Vidhya
anand mishra

Anand Mishra

Head Of Engineering at Analytics Vidhya
pranav dar

Pranav Dar

Sr Editor & Data Scientist at Analytics Vidhya

Hear from our Students

Mentors are experienced in the industry that I work in and are helpful in highlighting trends and emphasised courses in the blackbelt that would be most useful for my upskilling/development

Liked the personalised approach and clear specific recommendations on improvement and future course of action for me. Excited to keep learning and growing with Analytics Vidhya! Thanks!

Start your journey to success with a personalised Roadmap

It will be personalised after your first mentorship call

Program Fees


(Inclusive of taxes )

1:1 Personalised Attention

  • Personalised Success Roadmap
  • 75+ Technical mentorship sessions
  • 3 Industry mentorship sessions
  • 3 mock interviews

Comprehensive Curriculum

  • 100+ Learning Hours
  • Work on 39+ Real-world Projects
  • Master 14+ Cutting Edge Tools

Go from Beginner to Master

  • No pre-requisites required
  • Work on NLP and Deep Learning Projects

Online Python Certification Course

Get BlackBelt Plus Certified in Python Course By Analytics Vidhya Take your Python skills to the next level

  • Earn Your Certificate
  • Share your Achievement with the World

Money Back Guarantee!

BlackBelt Plus program comes with 7 days no questions asked Money back Guarantee. If the program is bought in pre-launch offer or on discounted price, then the fee paid is non-refundable. For more T&C, click here

Frequently asked Questions

Top Questions

I want to learn and master Python. Is this program for me?
Yes. This course is for people who want to start their journey in Python programming and take their skills to the next level. You’ll not just be learning Python programming but also how to use Python in Data Science and Machine Learning Projects.
What skills do I require to get a job in the Data Science domain?
The AI and ML Blackbelt Plus program consists of all the necessary modules that will help you land a job in the data science domain. You need to have a hands-on experience in the following tools- Python ,Pandas, NumPy, Matplotlib, Seaborn ,Scikit-learn
Why Python and how popular is it for Data Science?
1. Python has rapidly become the go-to language in the data science space and is among the first things recruiters search for in a data scientist's skill set. , 2. It consistently ranks top in global data science surveys and its widespread popularity will only keep on increasing in the coming years. , 3. Over the years, with strong community support, this language has obtained a dedicated library for data analysis and predictive modelling.
What does a Data Scientist do?
1. Data Science is an amalgamation of Statistics, Computer Science and specific domain knowledge. , 2. As more and more data gets generated across the world, we need to leverage it to make decisions and improve them., 3. A data scientist performs operations on the data provided to analyze and interpret it.
Which companies use Python?
Many of the biggest and most popular companies use Python. Some of them are: Google, NASA, Amazon Social networking sites like Instagram, Reddit, Quora, etc Media streaming companies like Netflix and Spotify Rideshare companies like Uber and Lyft
I am familiar with other Programming Languages like Java/C++. Will this course help me to migrate to Python?
Do you know that Python is essentially a wrapper on C? That is what makes it fast and easy to understand! Though Python has recently become popular amongst Data Scientists, it was originally a general-purpose language. Python is still object-oriented and follows many of the paradigms that Java does. So if you are familiar with the concepts of programming, you can migrate to Python easily with this course.
How much Python do I need to know to enter Data Science?
Though Python has hundreds of libraries and many more functionalities, you don’t need to know all of them for learning Data Science Rather than becoming an expert in the entire language, you would need to just be acquainted with the basic syntax of Python. We will also cover the most popular libraries used by Data Scientists and which you would be using too as a future Data Scientist!
What if I don’t have Python installed on my system?
One of the best things about Python is the wide variety of platforms that support writing it. We will provide easy to follow instructions to work with Python using Anaconda, an extremely popular package manager platform. No matter what Operating System you are using, we have you covered with guides for all of them.
What are the most popular open-source libraries that Python supports?
1. pandas, numpy, scipy, matlplotlib, seaborn are used for Data Science and Data Analysis 2. scikit-learn, tensorflow, keras are used for basic and advanced machine learning 3. libraries for deep learning like OpenCV(Computer Vision), NLTK(Natural Language Processing)
What is the average salary of a data scientist?
According to Glassdoor, the average salary of a beginner data scientist is a whopping 10 Lacs/year. The AI and ML Blackbelt Plus is the perfect program to land your dream job in the domain of Python and Data Science.
Who is this program for?
This Data science python course has been designed for all Python and Data Science enthusiasts from all walks of life. We have curated all the content for each course in a way that’s easy-to-digest for people coming from a non-technical and non-data science background as well.
What are the job roles I can apply to after this program?
You can apply for various diverse roles available in the industry. This program provides you detailed access to the python full course, amongst other courses. Here are a few of them but not limited to - 1. Python Developer , 2. Data Scientist , 3. Data Analyst , 4. Machine Learning Engineer , 5. Machine Learning Scientist
Is this python data science course an online or an offline program?
The AI and ML Blackbelt Plus program is an online certification program that makes you ready for the industry. In this online program, you get 1:1 mentorship sessions, personalized learning path and dedicated interview preparation and support.
Do I need to learn coding to learn Python?
If you are totally new to programming, no need to get intimidated by learning a whole new language. Python is a very easy language to learn: 1. It does not have a complicated syntax and understanding. Python is very intuitive. 2. You don’t need to be skilled in coding to get started in Python., 3. This is a python course for beginners as well as experienced professionals. We will start right from the foundations to performing data analysis tasks in Python.
I am a Beginner in Python. Is this course for me?
The AI and ML Blackbelt Plus Program is for anyone who wants to go from Beginner to Advanced in Python, Data Science, Machine Learning. Take your coding skills to the next level with hands-on Python online course training. The course covers projects, assignments, and quizzes based on Python.