Efficient Data Grouping and Aggregation with 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. Starting from the foundations to advanced techniques, you will be equipped to gain valuable insights and make informed decisions across any professional domain.

We will begin by explaining the key concepts of grouping and aggregation and guide you through setting up your working environment with tools like Jupyter Notebook. Gradually, you will master the use of statistical functions, the creation of dynamic Pivot Tables, and contingency table analysis while adopting a practical approach to handling complex data.

Moreover, you will delve into advanced techniques such as multiple aggregations, transformations within groups, and creating impactful visualizations. Each lesson combines theory with practical exercises to cement your learning and apply it to your own projects. By the end of the course, you will work on a hands-on project where you will apply all the skills acquired to solve a real-world problem, consolidating your knowledge and preparing you for challenges in fields like marketing, finance, data science, and more. This course is designed for both beginners in data analysis and professionals looking to enhance their skills. No matter your level, this is the perfect time to learn to confidently and accurately manage large volumes of information. Join our learning community today and discover how mastering Pandas and data analysis can unlock doors in your professional career. Enroll now and transform your skills into powerful tools for success!

What you will learn:

• Understand the fundamentals of data grouping and aggregation for efficient and structured analysis in Python using Pandas.
• Create and manage data groups applying methods like groupby and employing statistical and custom functions to obtain meaningful summaries.
• Design and use Pivot Tables in Pandas, leveraging their ability to organize and summarize data, including implementing subtotals and filters.

Course Content:

• Sections: 8
• Lectures: 23
• 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 and wishing to learn how to group and summarize information.
• Analysts, data scientists, marketing specialists, finance professionals, or anyone involved in 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!

👉 Don’t miss this coupon! – Cupón ENEROW126