Data Analysis using Pandas & Python Online Course

Data Analysis using Pandas & Python Online Course

This course introduces the fundamentals of data analysis in Python with a focus on the Pandas library, a powerful open-source tool for handling, cleaning, analyzing, and visualizing data. You’ll start by learning core concepts and working with Pandas, iPython, and Jupyter Notebook, then move on to handling CSV, Excel, TXT, JSON files, and API responses. The course also covers essential Jupyter commands and practical operations with DataFrames, including indexing, slicing, adding, and deleting. By the end, you’ll have a solid foundation in Pandas and be prepared to explore advanced data analysis.

Who should take this course?

This course is ideal for students, data enthusiasts, analysts, and professionals who want to learn how to analyze and manipulate data using Python and the Pandas library. It’s well-suited for beginners with basic Python knowledge who are looking to build strong data analysis skills for academic, business, or research purposes. Whether you’re an aspiring data scientist, a professional seeking to make data-driven decisions, or someone exploring data analytics for the first time, this course will equip you with practical skills to work confidently with data.

What you will learn

• Learn fundamentals of data analysis
• Understand important Jupyter Notebook commands
• Work with DataFrames (indexing, slicing, adding and deleting)
• Work with Pandas, iPython, Jupyter Notebook
• Work with CSV, Excel, TXT, JSON Files, and API Responses
• Add, delete, and update rows and columns

Course Outline

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

Thank You for Being Here!

• Conclusion