Skill Path: Probability and Statistics with R

Probability and statistics are critical in data science. They allow us to gather insights from data and determine whether what we’re seeing is meaningful. This path introduces the basics of statistical analysis using R, including sampling, working with variables, and understanding frequency distribution tables.

DURATION
25 hours
LESSONS
23
PROJECTS
5
DIFFICULTY
Intermediate
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Learn Probability and Statistics with R

Here's what you'll learn to do.
  • How to summarize a distribution's measures of central tendency and variability
  • Fundamentals of probability and how to use them for analysis
  • How to create and test hypotheses using significance testing

  • Course Structure:

    Probability and Statistics with R

    Learn about sampling data using simple random sampling, stratified sampling, and cluster sampling. Learn about building, visualizing, and comparing frequency distribution tables.

    Summarizing a distribution using the mean, the weighted mean, the median, or the mode. Measuring the variability of a distribution using the variance and the standard deviation. Learning how to locate and compare values using z-scores.

    Learn to estimate theoretical and empirical probabilities, the fundamental rules of probability, and about combinations and permutations.

    Learn to assign probabilities based on conditions, probabilities based on event independence, and probabilities based on prior knowledge. Create spam filters using multinomial Naive Bayes.

    Learn how to handle probability density functions, create testable hypotheses, and how to decide which hypotheses to support from your data.

    It's not just what you'll learn
    but how
    you'll apply it.

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    Retain Data Skills

    Retain

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    Challenge yourself
    with dozens of practice problems.

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    Join over 1 million data learners!

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    It’s great! So many options; R, SQL, Python. And they take you on guided projects where you understand the reasoning behind the code and are able to apply it to future projects.

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    If you want to get into a career in data, choose DQ. The education they offer would stretch you and prepare you for real life work.

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