Data Analysis with Pandas and Python

Course Overview

Skills and Knowledge Acquired:
By taking this course, students will acquire the skills and knowledge to install, sort, filter, group, aggregate, de-duplicate, pivot, mung, delete, merge, and visualize data using the Pandas library. They will also learn how to use the library to analyze, organize, and manipulate data sets of any size. Additionally, students will gain an understanding of the versatility and efficiency of the Pandas library and how it can be used to quickly and easily analyze data.


Contribution to Professional Growth:
This course contributes to professional growth by introducing students to the popular Pandas library built on top of the Python programming language. It provides an in-depth look at the most powerful data analysis toolkit available today, covering topics such as installation, sorting, filtering, grouping, aggregating, de-duplicating, pivoting, munging, deleting, merging, and visualizing. Students will gain a comprehensive understanding of the capabilities of Pandas and how to use it to analyze and manipulate data sets of any size. Additionally, the course provides dozens of datasets for students to use to practice their skills. By the end of the course, students will have a strong foundation in data analysis and be able to confidently use Pandas to analyze and manipulate data.


Suitability for Further Education:
This course is suitable for preparing further education as it provides comprehensive instruction on the popular Pandas library, which is built on top of the Python programming language. It covers a wide range of topics, from installation to visualization, and provides students with dozens of datasets to use. Additionally, the instructor is highly rated by students, who have praised his clarity and logical explanations. Therefore, this course is an excellent choice for those looking to expand their knowledge on data analysis.