Introduction to Statistics in Python

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

Review introductory statistics functions

Explore python libraries and their documentations

Perform statistical analysis and create corresponding visualizations in python

Clock2 hours
IntermediateIntermediate
CloudNo download needed
VideoSplit-screen video
Comment DotsEnglish
LaptopDesktop only

In this project, learners will get a refresher of introductory statistics, learn about different python libraries that can be used to run statistical analysis, and create visualizations to represent the results. By the end of the project, the learners will import a real world data set, run statistical analysis to find means, medians , standard deviations, correlations, and other information of the data. The learners will also create distinct graphs and plots to represent the data. Along the way, the learners will not only learn the frequently used statistics functions, but also learn to navigate documentations for different python libraries in order to find assistance in the implementation of those functions, and find other relevant functions as well. This will help the learners to understand the material and implement more complex functions down the road instead of simply memorizing the syntax of one solution. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

Skills you will develop

Performing basic statistical analysis in pythonperforming statistical analysis and creating corresponding visualizations in pythonunderstanding python library documentationsexploring and implementing python librariescustomizing python visulizations

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. Review introductory statistics functions

  2. Explore python libraries and their documentations

  3. Import and use functions from python libraries

  4. Perform basic statistical analysis using python library functions

  5. Create and customize visualizations in python to represent statistical results

  6. Perform statistical analysis and create corresponding visualizations in python

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

Frequently asked questions

Frequently Asked Questions

More questions? Visit the Learner Help Center.