Exploratory Data Analysis (EDA)

Become a high paying AI-enabled Data Analyst by learning the secrets of the industry taught by two data analyst hiring managers with 8+ years of international experience in data industry.

Become a high-paying AI-enabled Data Scientist by learning the secrets of the industry taught by data scientist hiring managers with 8+ years of international experience in data industry.

In an uncertain job market, the right soft skills give you stability. This Soft Skills Bootcamp helps you master communication, time management, and personal branding to grow with confidence. Timeless skills like these have stood the test of time and will remain valuable well into the future.

Industry Projects-Based Bootcamp Created by Data Engineering Experts and Hiring Managers

A live cohort-based AI Product Manager program designed to help you go from traditional PM workflows to building AI-first products covering LLM applications, AI product strategy, prompt engineering, prototyping, user research, and product execution. Learn from industry practitioners through hands-on sessions, real-world projects, and a capstone AI product build.

Transform from a Data Analyst into an AI-Enabled Data Engineer through Codebasics live 8-week cohort designed for working professionals. Learn advanced SQL, PySpark, dbt, Airflow, Microsoft Fabric, CI/CD, and production-grade data engineering workflows while building and shipping a complete end-to-end pipeline. Inner Circle pricing closes on 9 June, 2026. Cohort 1 begins on 13 June 2026. Limited seats available.

This project-based learning course will teach Python through hands-on experience with two real-world projects: (1) Data analysis in the hospitality domain and (2) Building an expense tracking system. It is designed for both complete beginners with no prior coding experience and those with some Python knowledge looking to enhance their skills. The course is taught by an industry expert with over 14 years of experience at leading tech companies such as Nvidia and Bloomberg.

This practical beginner’s course lets you learn Power BI from scratch, preparing you for the Data Analyst, Business Analyst, or Power BI Developer job market. The course provides an end-to-end Power BI project, carefully curated to offer you real organizational experience and business context.

Beginners to Advanced SQL course for those preparing for a data career (Data Analyst, Data Scientist, or Data Engineer). This course is carefully curated to simulate real-time organizational experience to prepare you for the current job market and at the same time provides you with an ultimate learning experience through a storytelling mode that you would see in movies.

Beginners to Advanced Excel course for those who are preparing for a data career (especially Data Analysts). This course is carefully curated by industry experts to mimic real-world scenarios to prepare you to become a market fit. You will also get practical exercises to practice and get a simulated experience of a data analyst using Excel to solve problems.

Learn the key concepts of Math and Statistics that lay the foundations for a strong data science career. This course is carefully curated to simulate real-time organizational experience to prepare you for the current job market and at the same time provides you with an ultimate learning experience through storytelling and intuitive explanations.

Learn Machine Learning from an AI entrepreneur with extensive industry experience and a popular YouTube channel (Codebasics) with 1 million subscribers. This course takes you from beginner to advanced levels, providing deep intuition on algorithms, engaging cinematic experiences, end-to-end projects, and hands-on coding practice. Designed for easy understanding, even for high school students, all at an affordable price.

Deep Learning: Beginners to Advanced is a comprehensive course that covers everything from the fundamentals of neural networks to advanced architectures such as CNNs, RNNs and transformers. Taught by an experienced AI professional, the course emphasizes practical learning through hands-on exercises and real-world projects in PyTorch. By the end, you'll have the skills to confidently build, train, and deploy deep learning models for real-world applications.

This Gen AI and Agentic AI course by Codebasics teaches both Generative AI and Agentic AI concepts through a practical, project-based learning approach. You’ll start with Generative AI fundamentals — such as Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and vector databases —and gain hands-on experience with tools like LangChain, ChromaDB, and Streamlit. As you progress, you’ll work on real-world projects such as a real estate assistant and an e-commerce chatbot to apply your learning effectively. The course then advances into Agentic AI and multi-agent systems, where you’ll learn to create AI-driven business solutions using autonomous agents. By the end of this Gen AI to Agentic AI certification course, you’ll gain exposure to LLM fine-tuning, AI ethics, and responsible AI implementation for real-world business applications.

Master the art of influence and advance your career with our course in Advanced Communication and Stakeholder Management. Learn to confidently navigate difficult conversations , give effective feedback, and manage stakeholder expectations using proven strategic frameworks like the Johari Window. This course moves beyond theory with real-world simulations , equipping you to resolve conflict, master multi-channel communication (email, chat, presentations), and influence with authority. Whether you're in management, HR, or project management, you will gain the essential skills to lead, persuade, and succeed in today's business environment.

This course is designed for professionals and individuals looking to master time management and implement deep work strategies for greater focus and productivity. Through practical frameworks, real-world strategies, and actionable activity exercises, you’ll develop the skills to overcome common productivity hurdles, optimise your energy, and create lasting habits that support deep, uninterrupted work. By the end of the course, you'll have the skills to maximise your time, build powerful habits, and unlock your deep work potential—no matter your industry or career level.

This course is designed for data analysts and freshers looking to build a strong foundation in data engineering. You’ll learn core concepts like OLAP vs. OLTP, ETL vs. ELT, and Medallion Architecture, while gaining hands-on experience with AWS tools like S3, Glue, Lambda, Athena, and Redshift. Build your first end-to-end ETL pipeline, automate workflows, and create dashboards with Power BI. You’ll also explore analyst-friendly overviews of Snowflake, Databricks, Airflow, and DBT, along with key engineering best practices.

A practical course for aspiring and working data analysts to automate workflows and boost productivity using AI agents and no-code tools. Work on real-world projects like automating CSV imports, API data collection, natural language to SQL query agents, multi-step Power BI automation, invoice-to-insights processing, and multi-agent master data governance. Through guided exercises, quizzes, and hands-on practice, you’ll learn to design and optimise automations that save time and improve data reliability. INCLUDES: LIVE hands-on workshops for continuous expert guidance!

This practical course helps you build your online presence with clarity and confidence. Whether you're a student, working professional, freelancer, or entrepreneur, personal branding gives you an edge in today’s digital world. You’ll learn how to create a strong LinkedIn profile, engage with the right people, and share meaningful content that reflects who you are. It includes ready-to-use templates, profile checklists, and real examples to make it easy to apply what you learn. By the end of the course, you’ll be able to grow your visibility, connect with new opportunities, and build a personal brand that works for you on LinkedIn and beyond.

Free Jupyter Notebook Online Tutorial in Python: This tutorial explains what is Jupiter or ipython notebook. Learn more here.

This Python numpy tutorial covers an introduction to the NumPy python module. We'll see why it is very popular and talk about its main feature n-dimensional array.

This playlist contains a python matplotlib tutorial. matplotlib is a widely used 2d plotting library in python very useful in data visualization. Learn more.

Pandas in Python Tutorial: If you are working on data science, you must know about pandas python module. learn data science, functionality, and Installation of Pandas.

In this feature engineering tutorial, we will understand what is feature engineering by going over a simple house price prediction example. Learn more here.