Course Details

Introduction to Statistics in R

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What Will You Learn?

Statistics is the study of how to collect, analyze, and draw conclusions from data. It’s a hugely valuable tool that you can use to bring the future into focus and infer the answer to tons of questions. For example, what is the likelihood of someone purchasing your product, how many calls will your support team receive, and how many jeans sizes should you manufacture to fit 95% of the population? In this course, you'll use sales data to discover how to answer questions like these as you grow your statistical skills and learn how to calculate averages, use scatterplots to show the relationship between numeric values, and calculate the correlation. You'll also tackle probability, the backbone of statistical reasoning, and learn how to conduct a well-designed study to draw your own conclusions from data.

About This Course

About This Course
Provider: Datacamp
Format: Online
Duration: 4 hours total to complete [Approx.]
Target Audience: Intermediate
Learning Objectives: By the end of this course, You'll learn how to calculate averages, use scatterplots to show the relationship between numeric values, and calculate the correlation. 
Course Prerequisites: Data Manipulation with dplyr and Intermediate R
Assessment and Certification: NA
Instructor: Maggie Matsui
Key Topics: Understand the fundamental concepts of statistics, analyze data to draw insights, and learn how probability can be applied to commercial scenarios.
Topic Covered: 
- What are statistics
- Summary statistics
- Random Numbers and Probability
- critical thinking skills
- Probability and distributions
- Discrete and continuous probability distributions
- More Distributions and the Central Limit Theorem
- Correlation and Hypothesis Testing

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