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Python for Data Analysis & Visualization (Udemy.com)

Master the main data analysis and visualization libraries in Python: Numpy, Pandas, Matplotlib, Seaborn, Plotly + more

4.5
4,423 reviews

Created by: Malvik Vaghadia

Last updated June 2026

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What you will learn

  • Python, we will be using Python3 in this course
  • Data Analysis Libraries in Python such as NumPy and Pandas
  • Data Visualization Libraries in Python such as Matplotlib and Seaborn
  • How to analyse data
  • Data Visualization
  • Jupyter Notebooks IDE / Anaconda Distribution

How it compares

Against the other 388 rated Udemy courses in Python on CourseDuck:

  • Rating4.5 out of 5higher than 52% of them
  • Reviews4,423#80 of 389 by number of reviews
  • Length10.1 hourslonger than 50% of them
  • Last updatedJune 2026more recently than 89% of them

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Course Description

*This course requires you to download Anaconda. If you are a Udemy Business user, please check with your employer before downloading software.*


Learn one of the most in demand programming languages in the world and master the most important libraries when it comes to analysing and visualizing data.

This course can be split into 3 key areas:

  • The first area of the course focuses on core Python3 and teaches you the essentials you need to be able to master the libraries taught in this course

  • The second area focuses on analysing and manipulating data. You will learn how to master both NumPy and Pandas

  • For the final part of the course you learn how to display our data in the form of interesting charts using Matplotlib,  Seaborn and Plotly Express

You will be using Jupyter Notebooks as part of the Anaconda Distribution. Jupyter is the most popular Python IDE available.

The course is packed with lectures, code-along videos, coding exercises and quizzes.

On top of that there are numerous dedicated challenge sections that utilize interesting datasets to enable you to make the most out of these external libraries.

There should be more than enough to keep you engaged and learning! As an added bonus you will also have lifetime access to all the lectures as well as lots of downloadable course resources consisting of detailed Notebooks.

The aim of this course is to make you proficient at using Python and the data analysis and visualization libraries.

This course is suitable for students of all levels and it doesn’t matter what operating system you use.

Curriculum summary:

  • Set Up & Installation

  • Core Python

    • Python Objects, Variables and Data Types

    • Control Flow and Loops

    • Functions

  • External Libraries

  • Data Analysis Libraries

    • NumPy

    • Pandas

    • Connecting to different Data Sources

  • Visualization Libraries

    • Matplotlib

    • Seaborn

    • Plotly Express

  • 4 dedicated Challenge Sections!
Read More All Levels All Levels product length iconTime: 10.1h

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Instructor Details

Malvik Vaghadia

Hello students! I'm Malvik, a Data Engineer and Cloud Architect with over 10 years of experience designing and delivering data solutions across numerous industries.


I have been a Udemy instructor since 2021 and I am committed to teaching the next generation of data professionals. My expertise spans both cloud platforms such as Azure and on-premises systems, with a deep focus on big data analytics.


I value simplicity and clarity in teaching. My courses are designed to be straightforward and to-the-point, with a focus on delivering knowledge in a way that’s easy to understand and immediately applicable. Whether you're just starting out or looking to advance your skills, my goal is to provide you with the solid foundation you need to excel in your data engineering career.

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Reviews

4.5

4,423 ratings on Udemy

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By Vincent von Karger on 7/14/2026

The only (admittedly very minor) issue I have is that there are not that many exercises for applying the knowledge. I would have liked a few more. Overall a really good course though, very understandable and well structured

By Syed Saud Waqar on 6/3/2026

Teaching method is easy to understand and overall course is engaging because of coding exercises also included in it.

By Ashwarya Negi on 5/20/2026

Each module was curated with the basics and got the enough information to implement them.

By Sriram S on 5/7/2026

This session was so good and interactive. It is helpful for me to understand what is Python. Why it is needed? What is the purpose of jupyter notebook.

By Anonymized User on 4/21/2026

The Couse python with data analysis & Visualization are well structured defined, and it seems the value of content this course was an informative and easy to follow the course.

By Anonymized User on 3/5/2026

Many of the videos don't render in any browser so it's difficult to attend the course.

By Ablam akama on 2/22/2026

This course is fantastic. Great resources, great explanations. God bless you my friend.

By P T on 11/16/2025

Malvik is a good communicator: clear, good delivery and explains the concepts in simple terms.

By Senthuran Subramaniam on 11/5/2025

Excellent course for learning pandas, numpy, matplotlib and plotly for beginners. The instructor's material and pace of delivery are easy to follow. along with the exercises at the end of each section.

By Kishore Tandon on 10/4/2025

It was good. But the explaining through the syntax (as you did explained pandas.Series(data =None, index=None, dtye=None,...) and their meaning was a good start to understand clearly) was missing when you immediately start iloc or loc or slicing in between. It's because with iloc, you start talking about row, list of columns, slicing, reversing dataframe immediately. Just sharing my thought as a scope of improvement and possibly others might feel the same. Thanks

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Overall Score : 90 / 100

Python for Data Analysis & Visualization
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  • Video Duration: icon 10.1h
  • Price: $89.99
  • Provider: icon Udemy
  • Updated: icon June 2026
  • Level: All Levels All Levels
  • Language: icon English
  • Certificate: icon Yes
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