Basic Statistics in Python (ANOVA)

4.2
stars

27 ratings

Offered By
In this Guided Project, you will:
1 hour
Beginner
No download needed
Split-screen video
English
Desktop only

In this 1-hour long project-based course, you will learn how to set up a Google Colab notebook, source data from the internet, load data into Python, merge two datasets, clean data, perform exploratory data analysis, carry out ANOVA and create boxplots. Throughout the course you will work on an Education dataset from World Bank. This will allow you to perform statistical analysis on your own datasets in Python. This project does not require any previous Python or coding experience, but it would be useful for learners to understand the statistical methods covered. The course includes data sourcing and cleaning which are invaluable real world skills, and focuses on visualizing your results which is needed as a large part of any analysis is the storytelling.

Skills you will develop

  • Data Cleansing

  • Python Programming

  • Data Analysis

  • Analysis Of Variance (ANOVA)

  • visulization

Learn step-by-step

In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:

How Guided Projects work

Your workspace is a cloud desktop right in your browser, no download required

In a split-screen video, your instructor guides you step-by-step

Reviews

TOP REVIEWS FROM BASIC STATISTICS IN PYTHON (ANOVA)

View all reviews

Frequently Asked Questions