Introduction to Python

  • BeginnerLevel

  • 153765+Students Enrolled

  • 1 HrDuration

  • 4.9Average Rating

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About this Course

  • Dive into Python for data science by learning syntax, libraries (Pandas, NumPy, Matplotlib) and real-world applications.
  • Explore how Python for data analysis helps you clean, transform and visualise data like a pro.
  • Complete the best Python course for data science with hands-on coding, practical examples and projects.
  • Understand the core steps of data science from scratch, no prior code or analytics experience needed.
  • Build your skills as a Python data analyst, ready to work with real datasets and deliver insights.
  • This Python for data science online course gives you a verified certificate and career-ready profile.

Learning Outcomes

Code with Python

Use Python for data analysis, write clean code, explore datasets.

Analyse & Visualise

Learn Python for data science to inspect data, & build charts

Build Data Projects

Follow the full workflow from raw data to dashboards and insights.

Who Should Enroll

  • Beginners wanting a free Python for data science online course and certificate.
  • Aspiring analysts aiming to learn Python for data analysis and build real-world skills.
  • Data science enthusiasts ready to follow a “data science from scratch” path and become proficient.
  • Professionals seeking the best Python course for data science to upskill and stand out.

Course Curriculum

This Python for data science online course introduces you to coding, data manipulation, analysis and visualization. Starting from scratch, you’ll learn Python programming, data science workflows & complete practical projects with a certificacate.

tools

  1. 1. Course Overview

  2. 2. Python Basics

  3. 3. Operators of Python

  1. 1. Theory of Operators

  2. 2. Understanding Operators in Python

  1. 1. Understanding variables and data types

  2. 2. Variables and Data Types in Python

  1. 1. Understanding Conditional Statements

  2. 2. Variables and Data Types in Python

  1. 1. Understanding Looping Constructs

  2. 2. Implementing Looping Constructs in Python

Meet the instructor

Our instructor and mentors carry years of experience in data industry

company logo
Kunal Jain

Founder & CEO, Analytics Vidhya

Kunal has 15+ years of experience in the field of Data Science and is the founder and CEO of Analytics Vidhya- the world's 2nd largest Data Science community.

Get this Course Now

With this course you’ll get

  • 1 Hour

    Duration

  • Kunal Jain

    Instructor

  • Beginner

    Level

Certificate of completion

Earn a professional certificate upon course completion

  • Industry-Recognized Credential
  • Career Advancement Credential
  • Shareable Achievement
certificate

Frequently Asked Questions

Looking for answers to other questions?

Yes. This Python for data science online course is part of Analytics Vidhya’s free learning program. You can access all video lessons, assignments, and projects without any cost. The only thing you need is your curiosity to learn and a computer with internet access.

Absolutely. Once you complete all the lessons and the final project, you will earn a verified certificate from Analytics Vidhya. The certificate is free and can be shared on your LinkedIn profile or added to your resume to highlight your data science skills.

The course starts with Python fundamentals and then moves into data analysis, visualization, and project building. You will learn to use key libraries such as Pandas, NumPy, Matplotlib, and Seaborn while working with real datasets to understand how Python is used in data-driven problem solving.

No prior experience is required. This course has been designed for complete beginners. Every concept, from Python syntax to data visualization, is explained through practical examples so that even learners with no coding background can follow along easily.

You can complete the course in just a few hours if you follow the lessons consecutively. However, the course is self-paced, allowing you to revisit the videos, practice exercises, and complete projects at your own convenience. There are no deadlines or restrictions.

You only need a computer and internet access. Python and all its libraries can be installed easily, and detailed setup instructions are provided in the course. You can also use free online notebooks such as Google Colab to run your code without any local installation.

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