Basic Statistics in Python (Correlations and T-tests)


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In this Guided Project, you will:

Clean data, including removing missing data and unnecessary columns

Explore data using descriptive statistics

Create visualizations of our data and analysis

Perform statistical tests, including t-tests and correlation

1 hour 10 mins
No download needed
Split-screen video
Desktop only

By the end of this project, you will learn how to use Python for basic statistics (including t-tests and correlations). We will learn all the important steps of analysis, including loading, sorting and cleaning data. In this course, we will use exploratory data analysis to understand our data and plot boxplots to visualize the data. Boxplots also allow us to investigate any outliers in our datasets. We will then learn how to examine relationships between the different data using correlations and scatter plots. Finally, we will compare data using t-tests. Throughout this course we will analyse a dataset on Science and Technology from World Bank. The measures in this dataset are numeric, therefore you will learn how to handle and compare numeric data. This guided project is for anyone with an interest in performing statistical analysis using Python. This could be someone from a social science background with statistics knowledge who wants to advance their analysis, or anyone interested in analysing data.

Skills you will develop

  • Statistical Analysis

  • Data Cleansing

  • Summary Statistics

  • Pandas

  • Data Visualization (DataViz)

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. Load data into notebook

  3. Clean data to remove missing data and unnecessary columns

  4. Perform exploratory data analysis

  5. Create boxplots using for loops

  6. Explore relationships between data using correlation and scatter plots

  7. Perform t-tests to compare data from different years

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



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Frequently Asked Questions

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At the top of the page, you can press on the experience level for this Guided Project to view any knowledge prerequisites. For every level of Guided Project, your instructor will walk you through step-by-step.

Yes, everything you need to complete your Guided Project will be available in a cloud desktop that is available in your browser.

You'll learn by doing through completing tasks in a split-screen environment directly in your browser. On the left side of the screen, you'll complete the task in your workspace. On the right side of the screen, you'll watch an instructor walk you through the project, step-by-step.