Python Pandas Full Course

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

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