Python for Excel Data Processing

This course aims to teach learners how to use Python for processing and analyzing data in Excel. By learning relevant libraries (such as Pandas and OpenPyXL), participants will be able to efficiently read, manipulate, and analyze data from Excel files.

Created by

Samuel Pei

Hours

0 Enrolled

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English

Last updated

Fri, 06-Dec-2024

Course description

Course Objectives

Understand the basic structure and format of Excel data.
Learn to read and write Excel files using Python libraries.
Master essential skills for data cleaning, manipulation, and analysis.
Be able to visualize analysis results using Python tools.

What will i learn?

Requirements

Frequently asked question

No prior programming experience is required! However, a basic understanding of Excel and familiarity with data concepts will be beneficial. We will cover Python basics in the first module, so beginners are welcome.

You will need to install Python on your computer, along with the necessary libraries (Pandas, OpenPyXL, Matplotlib). We recommend using Anaconda or Jupyter Notebook for an easy setup. Detailed installation instructions will be provided at the beginning of the course.

Yes! Upon successful completion of the course and all assessments, you will receive a certificate that you can share on your professional profiles and resumes. This certificate will demonstrate your skills in using Python for data processing in Excel.

Using Matplotlib and Seaborn for Data Visualization

Samuel Pei

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$29

Lectures

14

Expiry period

Lifetime

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