Data Analysis with Python for Excel Users

In this course you will learn how to create pivot tables, work with data, and make visualizations using Python, Pandas, and Jupyter Notebook.

Program Level: Basic | Prerequisites: None

Program For: Excel users seeking to install and learn Python

Instructional Method: Self-Study | Advance Preparation: None

CPE Credit: 3 hour(s) 57 minute(s) | Field of Study: Specialized Knowledge

Modality: Desktop Recording

Learning Objectives:

* Learn to install Python and Jupyter Notebook with Anaconda

* Learn the basic functionality of Jupyter Notebooks

* Introduction to Pandas and Dataframes

* Introduction to Pivot Tables in Pandas

* Basic visualization with Line, Bar, and Pie charts


* Quiz Questions: 5 Question

* Types: Multiple Choice or True / False

* Quiz Attempts: Unlimited retries

* Minimum Quiz score of 100% is required to obtain self-study CPE

Materials Included:

* On-Demand Video CPE Quiz

Video Source:

* YouTube

* Duration: 3 hours 57 minutes 46 seconds


* Anyone seeking to learn Python

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Your Instructor

About Frank Andrade

Frank is a Data Scientist and his passion is teaching. He has taught for many years. He has taught the fundamentals of programming and web scraping to hundreds of people including undergraduates and professionals. 


Course Curriculum

  Data Analysis with Python for Excel Users
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