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Statistics Fundamentals in R

Updated 01/2025
Discover the power of statistics in R. Learn the key statistical concepts, topics, and techniques used by data scientists and statisticians every day.
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RProbability & Statistics20 hours22,154

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Track Description

Statistics Fundamentals in R

Statistics is the study of how best to collect, analyze, and draw conclusions from data. A strong foundation will serve you well, no matter what industry you work in. In this beginner’s track, you'll learn the concepts, topics, and techniques used by data scientists and statisticians every day—including observational studies and experiments, correlation, regression, exploratory data analysis, and inference. You’ll also develop your stats skills by working with real-world data, including Stack Overflow surveys, real estate prices, and medical shipment data. Start this track today to learn about the power of statistics and how it can be used in your day-to-day analyses!

Prerequisites

There are no prerequisites for this track

  • Course

    1

    Introduction to Statistics in R

    Grow your statistical skills and learn how to collect, analyze, and draw accurate conclusions from data.

  • Course

    2

    Introduction to Regression in R

    Predict housing prices and ad click-through rate by implementing, analyzing, and interpreting regression analysis in R.

  • Course

    4

    Sampling in R

    Master sampling to get more accurate statistics with less data.

  • Course

    5

    Hypothesis Testing in R

    Learn how and when to use hypothesis testing in R, including t-tests, proportion tests, and chi-square tests.

  • Project

    bonus

    Hypothesis Testing with Men's and Women's Soccer Matches

    Perform a hypothesis test to determine if more goals are scored in women's soccer matches than men's!

Statistics Fundamentals in R
5 Courses
Track
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