Pandas Full Course

Welcome to the Complete Python Pandas Course

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

Section 1: Pandas – Introduction & Setup

1. Pandas – Introduction & Features
2. Install & Setup Pandas

Section 2: Pandas – DataFrames

3. Create a Pandas DataFrame (Run first program)
4. Pandas DataFrames – Attributes & Methods
5. Join Pandas DataFrame
6. Concatenate Pandas DataFrames

Section 3: Pandas – Series

7. Create a Pandas Series
8. Pandas Series – Attributes & Methods
9. Combine two Pandas series

Section 4: Pandas – Categorical

10. Categorical Data in Pandas
11. Working with Categories in Pandas

Section 5: Pandas – Read CSV, Excel

12. Read CSV in Pandas
13. Read Excel in Pandas

Section 6: Pandas – Indexing and Selecting

14. Indexing in Pandas
15. Select multiple columns in Pandas

Section 7: Pandas – Data Manipulation

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

Section 8: Pandas – Data Cleaning

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

Section 9: Pandas – Operations

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

Section 10: Pandas – Plotting

27. Plot a DataFrame in Pandas

Bonus

28. 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.

Career Path

• The Average Data Scientist’s salary in the UK is £73,411
• The Average Data Analyst salary in the UK is £41,449

Hit the Enroll button!