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Python for Data Science: Python Programming & Data Analysis (Udemy.com)

Transform data into insights using Python and its powerful Libraries such as NumPy, Pandas, Matplotlib, Seaborn etc.

Created by: Start-Tech Trainings

Last updated April 2026

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What you will learn

  • Gain a thorough understanding of Python syntax, script writing, and fundamental programming concepts such as variables, data types, and string operations
  • Become adept at using lists, dictionaries, tuples, and sets for organizing and managing data effectively within Python
  • Master the use of conditional statements and loops in Python to automate and optimize data processing tasks
  • Learn to design reusable Python functions to perform repetitive tasks efficiently, including knowledge of recursion and lambda functions
  • Acquire skills in reading from and writing to files in Python, crucial for data processing tasks in real-world applications
  • Understand how to use NumPy arrays for complex mathematical computations and effectively handle large datasets with high performance
  • Master the use of Pandas for data manipulation and analysis; learn how to explore, clean, and transform data into a suitable format for analysis

How it compares

Against the other 518 rated Udemy courses in Software Development on CourseDuck:

  • Rating4.0 out of 5higher than 2% of them
  • Reviews382#259 of 519 by number of reviews
  • Length6.7 hourslonger than 51% of them
  • Last updatedApril 2026more recently than 70% of them

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Course Description

Are you aspiring to become a data scientist or aiming to enhance your data analysis skills? Have you ever found yourself overwhelmed by data, wondering how to turn it into actionable insights? If your goal is to not only understand the vast world of data science but also to apply this knowledge practically, then this course is designed with you in mind. Dive into the transformative world of Python and its powerful libraries, and start your journey towards becoming a proficient data scientist.

This course offers a comprehensive guide to mastering Python programming and data analysis, tailored specifically for data science applications. By engaging with this course, you will:

  • Develop a solid foundation in Python programming, from basic syntax to advanced functions.

  • Master the art of handling and analyzing data using Python’s most powerful libraries, including NumPy for numerical data, Pandas for data manipulation, Matplotlib and Seaborn for data visualization.

  • Create compelling data visualizations that communicate your findings effectively.

  • Implement data manipulation techniques to clean, transform, and prepare your data for analysis.

  • Solve real-world data analysis problems by applying practical programming solutions.

Why is learning about this topic crucial?

In today’s data-driven world, the ability to analyze and interpret data is indispensable. Python, being at the forefront of data science, offers an extensive ecosystem of libraries and tools that make data analysis accessible and powerful. Whether you’re analyzing customer data to inform business decisions, researching for academic purposes, or exploring datasets for personal projects, Python provides the capabilities to turn data into insights.

Throughout this course, you’ll engage in hands-on activities such as coding exercises, real-world data analysis projects, and creating data visualizations. These practical experiences are designed to cement your learning and give you the confidence to apply your skills in a professional setting.

What sets this course apart is not just the breadth of topics covered but the focus on practical application. You’ll learn not just the theory but how to apply these concepts in real-world scenarios, preparing you for immediate application in your work or studies.

Don't let data overwhelm you any longer. Take the first step towards unlocking its potential by enrolling in Python for Data Science: Python Programming & Data Analysis today. Transform data into insights and become an invaluable asset in the field of data science.

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Instructor Details

Start-Tech Trainings

Start-Tech Academy is a technology-based Analytics Education Company and aims at Bringing Together the analytics companies and interested Learners. 
Our top quality training content along with internships and project opportunities helps students in launching their Analytics journey. 

Founded by Abhishek Bansal and Pukhraj Parikh.

Working as a Project manager in an Analytics consulting firm, Pukhraj has multiple years of experience working on analytics tools and software. He is competent in  MS office suites, Cloud computing, SQL, Tableau, SAS, Google analytics and Python.

Abhishek worked as an Acquisition Process owner in a leading telecom company before moving on to learning and teaching technologies like Machine Learning and Artificial Intelligence.

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Reviews

4.0

382 ratings on Udemy

Select a bar to show only those reviews.Select the bar again to show every rating.

By Robert Abernathy on 10/16/2026

Audio was often uneven, sometimes hard to hear. Sample coding errors often not helpful. AI interactions were blocked

By Matlou Lehong on 11/16/2025

This course is excellent because it covers a wide variety of relevant topics, perfect for building a strong foundation.

By Akhil Vennakkat on 11/3/2025

I am having a very hard time clearing the tests because of errors in the test cases. very pathetic.

By Nishav Shakya on 9/2/2025

Some of the audios are bad... in some coding exercises, the answer was "wrong" even if it is right if the code is not exact as the default solution

By Roseanna Taitt on 8/25/2025

It breaks it down really clearly so you can understand! Excellent guide for newbies like me!

By Ruben Perez on 7/24/2025

Very straightforward and clear! They make sure you don't get loss

By Luqman Fadhil on 5/5/2025

good explanation, but in some videos, the audio less loud that the others, especially on some beginning video

By Carlos Yugar on 4/30/2025

Disjointed topics are discussed. It does not seem that the lessons so far have been well planned.

By LEA YPYÄ on 1/9/2025

Basics of the course was good and balance between sections also but exercises were sometimes unclear or not working. Even if there is said that "No prior experience in Python or data analysis is required" I would say that understanding the exercises requires also understanding for data analysis

By Adekunle Oke on 6/2/2024

I am pleased with the little I have learnt about the course.

Showing all 10 reviews on CourseDuck

Read all 382 reviews on Udemy

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Quality Score

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Overall Score : 80 / 100