Harness Data Insights with Python Pandas

Ready to elevate your data analysis skills and stand out in an information-driven world? This course will teach you how to group, summarize, and transform data using Pandas, the essential library for data manipulation in Python. You’ll start with core concepts of grouping and aggregating data and learn to set up your workspace with tools like Jupyter Notebook. Gradually, you will master statistical functions, creating dynamic Pivot Tables, and analyzing contingency tables, all while taking a hands-on approach to manage complex data sets.

As you delve deeper, you’ll explore advanced techniques such as multiple aggregations, transformations within groups, and creating impactful visualizations. Each lesson balances theory with practical exercises, allowing you to consolidate what you’ve learned and apply it to your own projects. By the end of the course, you’ll work on a practical project that applies all the skills you’ve acquired to solve a real-world problem, solidifying your understanding and preparing you for challenges in areas like marketing, finance, data science, and more.

This course is designed for both beginners in data analysis and professionals looking to enhance their skills. Regardless of your level, now is the perfect time to learn how to handle large volumes of information confidently and accurately. Join our learning community and discover how mastering Pandas and data analysis can open doors in your career. Enroll today and transform your skills into powerful tools for success!

What you will learn:

• Understand the fundamentals of grouping and aggregating data for efficient analysis in Python using Pandas.
• Create and manage data groups applying methods like groupby and using statistical and custom functions for significant summaries.
• Design and use Pivot Tables in Pandas to organize and summarize data, including implementing subtotals and filters.

Course Content:

• Sections: 8 sections
• Lectures: 23 lectures
• Duration: 2h 36m

Requirements:

• Basic knowledge of Python.
• Introduction to Pandas (optional but recommended).

Who is it for?

• Individuals starting their journey in data analysis who want to learn how to group and summarize information.
• Analysts, data scientists, marketing specialists, finance professionals, or anyone involved with manipulating and analyzing large volumes of information.

What are you waiting for to get started?

Enroll today and take your skills to the next level. Coupons are limited and may expire at any time!

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