Data Analysis using Pandas & Python Online Course
Data Analysis using Pandas & Python Online Course
This course introduces data analysis with Python, focusing on the Pandas library. You’ll learn to work with Pandas, iPython, and Jupyter Notebook, explore key commands, and handle data from various file types like CSV, Excel, TXT, JSON, and API responses. The course also covers DataFrame operations, including indexing, slicing, and modifications. By the end, you’ll have a strong foundation in Pandas and be prepared for advanced data analysis.
Who is this course for?
- Suitable for Python programmers and developers exploring data analysis.
- Ideal for students eager to learn Pandas for data analytics.
- Beginners starting in the field of data analytics.
What you will learn
- Learn the basics of data analysis.
- Master key Jupyter Notebook commands.
- Handle DataFrames
- Work with Pandas, iPython, and Jupyter Notebook.
- Process CSV, Excel, TXT, JSON files, and API responses.
- Add, delete, and update rows and columns in datasets.
Introduction to the Course
- Course Introduction
What is Pandas?
- Introduction to Pandas
- Starting with Pandas and iPython
Jupyter Notebooks
- Working with Jupyter Notebooks
- Important Jupyter Notebook Commands
Working on Data
- Working with CSV, Excel, TXT and JSON Files
- Working with API Response
- Indexing and Slicing Dataframe Tables [Part 1]
- Indexing and Slicing Dataframe Tables [Part 2]
- Deleting Columns and Rows
- Adding and Updating New Columns and Rows
Conclusion
