Basic Statistics in Python (ANOVA)

21 ratings
Offered By
Coursera Project Network
In this Guided Project, you will:

source and clean a dataset from the internet

perform statistical analysis including ANOVA

create visulizations including boxplots

Clock1 hour
CloudNo download needed
VideoSplit-screen video
Comment DotsEnglish
LaptopDesktop 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 CleansingPython ProgrammingData AnalysisAnalysis 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:

  1. Set up a new Google Colab Notebook

  2. Download data from World Bank

  3. Load data into Google Colab using Python

  4. Merge two datasets

  5. Clean the data and perform exploratory data analysis

  6. Carry out ANOVA on grouped data

  7. Create boxplots to visulize the results

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



View all reviews

Frequently asked questions

Frequently Asked Questions

More questions? Visit the Learner Help Center.