Welcome to The Complete Python Pandas 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

?? Pandas : Intro & Setup

1. Pandas : Introduction & Features
2. Pandas : Installation

?? Pandas : DataFrames

3. Create a DataFrame
4. DataFrames : Attributes Methods
5. Join Pandas DataFrame
6. Concatenate Pandas DataFrames

?? Pandas : Series

7. Create a Series
8. Series : Attributes and Methods
9. Combine two Pandas series

?? Pandas : Categorical

10. Categorical Data
11. Working with Categories

?? Pandas : Read CSV, Excel

12. Read CSV
13. Read Excel

?? Pandas : Indexing and Selecting

14. Indexing
15. Select multiple columns

?? Pandas : Data Manipulation

16. Add a new column
17. Delete rows/ columns
18. Iterate over rows and columns
19. Pandas : Sorting

?? Pandas : Data Cleaning

20. Pandas : Handle Duplicates
21. Pandas : Clean the Data

?? Pandas : Operations

22. Pandas : String Operations
23. Pandas : Date Time Operations
24. Pandas : Remove Whitespace or special characters
25. Pandas : Group the Data
26. Pandas : Statistical Functions

?? Pandas : Plotting

27. Pandas : Plot a DataFrame

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

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Who this course is for:

• Those who want to learn Pandas by doing.
• Gain a deep understanding of Python Pandas
• Python Libraries Beginners
• Get started with Pandas
• Learn all the topics in Pandas