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Codecademy

Learn Statistics with R

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Overview

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This course introduces core statistics concepts and the R programming language, widely used in Data Analysis and Data Science. You'll explore descriptive statistics such as mean, median, and variance, and use R to analyze datasets, form hypotheses, and test them, equipping you with essential skills for data analysis.

Syllabus

  • Learn R: Mean, Median, and Mode: Learn to use R or manually calculate the mean, median, and mode of real-world datasets.

    • Lesson: Mean in R
    • Lesson: Median in R
    • Lesson: Mode in R
    • Project: Central Tendency for Housing Data in R
    • Quiz: Mean, Median, and Mode in R
  • Learn R: Variance and Standard Deviation: In this module, you will learn how to quantify the spread of the dataset by calculating the variance and standard deviation in R.
    • Lesson: Variance in R
    • Lesson: Standard Deviation in R
    • Quiz: Variance and Standard Deviation in R
    • Project: Variance in Weather in R
  • Learn R: Quartiles, Quantiles, and Interquartile Range: In this course, you will learn how to calculate three important descriptive statistics that describe the spread of the data.
    • Lesson: Quartiles
    • Lesson: Quantiles
    • Lesson: Interquartile Range
    • Quiz: Quantiles, Quartiles, and IQR
    • Project: Life Expectancy By Country
  • Learn R: Hypothesis Testing: Learn about the statistics used to run hypothesis tests. Then, learn how to use R to run different t-tests that compare distributions.
    • Lesson: Hypothesis Testing with R
    • Quiz: Hypothesis Testing with R
    • Project: Blood Transfusion Analysis

Taught by

Kenny Lin

Reviews

4.4 rating at Codecademy based on 111 ratings

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