Data Analysis Crash Course for Beginners (Pandas + Python)

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Explore the world of data analysis basics with Pandas and Python for beginners. This course will help you understand the fundamentals of data analysis with Python and Pandas library.

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19 on-demand videos & exercises
Level: Beginner
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What to know about this course

Pandas is an open-source library providing you with high-performance, easy-to-use data structures and data analysis tools for Python. Pandas provide a powerful and comprehensive toolset for working with data, including tools for reading and writing diverse files, data cleaning and wrangling, analysis and modeling, and visualization.

Fields with the widespread use of Pandas include data science, finance, neuroscience, economics, advertising, web analytics, statistics, social science, and many areas of engineering.

This course covers fundamentals of data analysis with Python, predominantly using Pandas library. This course starts with covering the fundamentals of data analysis. You will be then working with Pandas, iPython, Jupyter Notebook. After that, you will explore important Jupyter Notebook commands. Post that, you will be working with CSV, Excel, TXT, JSON files, and API responses. Finally, you will be working with DataFrames (indexing, slicing, adding, and deleting).

By the end of this course, you will have a good understanding of Pandas and will be ready to explore data analysis in-depth in the future. All the resource files are uploaded on the GitHub repository at

Who's this course for?

This course is ideal for Python programmers and developers, and students who are interested in learning Pandas for doing data analysis. This course is designed for beginners who want to start their journey in the field of data analytics.
No prerequisites are required to opt for this course.

What you'll learn

  • Learn fundamentals of data analysis.
  • Understand important Jupyter Notebook commands.
  • Work with DataFrames (indexing, slicing, adding and deleting).
  • Work with Pandas, iPython, Jupyter Notebook
  • Work with CSV, Excel, TXT, JSON Files, and API Responses.
  • Add, delete, and update rows and columns.

Key Features

  • Short, crisp, and clear course on data analysis using Pandas library in Python
  • Beginners-level course to give you hands-on knowledge to start your journey in data analysis
  • A good blend of theoretical and practical concepts along with resource files to follow along smoothly

Course Curriculum

About the Author

Shubham Sarda

Shubham Sarda is a software developer and digital marketer with a passion for teaching. He has worked with many funded start-ups, self-projects, and as a top-rated freelancer on multiple marketplaces. Currently, he stands among the top 700 freelancers with over 2,500+ projects on Fiverr, PeoplePerHour, Freelancer, and more. As an instructor, he has taught programming and digital marketing to over 20,000 students, both with online courses and offline bootcamps. He has mastered explaining complex topics in the simplest form that is easy to understand and follow. His video courses are also used by companies to train their employees and by colleges to prepare and upgrade their students according to the latest industry requirements.

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