Python Pandas Full Course (2024)

Learn Pandas with 90+ hands-on live running coding examples and exercises

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Python Pandas Full Course (2024)

What You Will Learn!

  • Learn Pandas from scratch (2024)
  • Learn Pandas for Data Science and Data Analysis
  • Acquire essential Pandas skills
  • Practice your skills with 100+ coding exercises
  • Learn Pandas best practices
  • Be able to program in Pandas professionally.
  • Learn to read CSV and Excel files with ease in Python

Description

Welcome to the Pandas Full Course by Studyopedia.

Pandas is a powerful and easy-to-use open-source tool built on top of the Python programming language. It is useful for data analysis and manipulation. Python with pandas is widely used in Statistics, Finance, Neuroscience, Economics, Web Analytics, Advertising, etc.

To work with data sets, clean them, and make them relevant for Data Science is what Pandas do. With that, easily load and read data sets in Excel, CSV, JSON, XML, etc. formats with Pandas and work on them. Easily clean the wrong format data, remove duplicates, and do other tasks with Pandas.

Features

  • Analyze Data

  • Manipulate Data

  • Columns can be inserted and deleted from DataFrame

  • Group the rows/ columns of a DataFrame/ Series

  • Plotting is possible

  • Read CSV/ JSON

  • Fix the inaccurate data

  • Clean the Data completely

  • Easy to handle the missing data in the form: NaN, NA, or NaT

Course Lessons

  1. Pandas – Introduction & Features

  2. Install & Setup Pandas

  3. Create a Pandas DataFrame (Run first program)

  4. Pandas DataFrames – Attributes & Methods

  5. Join Pandas DataFrame

  6. Concatenate Pandas DataFrames

  7. Create a Pandas Series

  8. Pandas Series – Attributes & Methods

  9. Combine two Pandas series

  10. Categorical Data in Pandas

  11. Working with Categories in Pandas

  12. Read CSV in Pandas

  13. Read Excel in Pandas

  14. Indexing in Pandas

  15. Select multiple columns in Pandas

  16. Add a new column in Pandas

  17. Delete rows/ columns in Pandas

  18. Iterate over rows and columns in Pandas

  19. Sorting in Pandas

  20. Handle Duplicates in Pandas

  21. Clean the Data in Pandas

  22. String Operations in Pandas

  23. Date Time Operations in Pandas

  24. Remove Whitespace in Pandas

  25. Group the Data in Pandas

  26. Statistical Functions in Pandas

  27. Plot a DataFrame in Pandas


Quiz

We have also provided an Online Quiz to polish your Pandas skills after completing the lessons.

100+ live coding examples are covered to make each lesson easier for the students.

Hit the Enroll button!

Who Should Attend!

  • Those who want to learn Pandas by doing. This course includes 50+ hands-on exercises
  • Gain a deep understanding of Python Pandas
  • Python Libraries Beginners
  • Get started with Pandas
  • Learn all the topics in Pandas

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Tags

Subscribers

32

Lectures

27

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