HomeRIntroduction to Statistics in R

# Introduction to Statistics in R

4.6+
71 reviews
Intermediate

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

4 hours15 videos54 exercises

or

Training 2 or more people?Try DataCamp For Business

## Course Description

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 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.

### .css-1goj2uy{margin-right:8px;}Group.css-gnv7tt{font-size:20px;font-weight:700;white-space:nowrap;}.css-12nwtlk{box-sizing:border-box;margin:0;min-width:0;color:#05192D;font-size:16px;line-height:1.5;font-size:20px;font-weight:700;white-space:nowrap;}Training 2 or more people?

Try DataCamp for BusinessFor a bespoke solution book a demo.

### In the following Tracks

Certification Available

#### Data Analyst with R

Go To Track
Certification Available

Go To Track

Go To Track
1. 1

### Summary Statistics

Free

Summary statistics gives you the tools you need to boil down massive datasets to reveal the highlights. In this chapter, you'll explore summary statistics including mean, median, and standard deviation, and learn how to accurately interpret them. You'll also develop your critical thinking skills, allowing you to choose the best summary statistics for your data.

Play Chapter Now
What is statistics?
50 xp
Descriptive and inferential statistics
100 xp
Data type classification
100 xp
Measures of center
50 xp
Mean and median
100 xp
Mean vs. median
100 xp
50 xp
Variance and standard deviation
100 xp
Quartiles, quantiles, and quintiles
100 xp
Finding outliers using IQR
100 xp
2. 2

### Random Numbers and Probability

In this chapter, you'll learn how to generate random samples and measure chance using probability. You'll work with real-world sales data to calculate the probability of a salesperson being successful. Finally, you’ll use the binomial distribution to model events with binary outcomes.

3. 3

### More Distributions and the Central Limit Theorem

It’s time to explore one of the most important probability distributions in statistics, normal distribution. You’ll create histograms to plot normal distributions and gain an understanding of the central limit theorem, before expanding your knowledge of statistical functions by adding the Poisson, exponential, and t-distributions to your repertoire.

4. 4

### Correlation and Experimental Design

In this chapter, you'll learn how to quantify the strength of a linear relationship between two variables, and explore how confounding variables can affect the relationship between two other variables. You'll also see how a study’s design can influence its results, change how the data should be analyzed, and potentially affect the reliability of your conclusions.

### In the following Tracks

Certification Available

#### Data Analyst with R

Go To Track
Certification Available

Go To Track

#### Statistician with R

Go To Track

In other tracks

Statistics Fundamentals with R

datasets

Food Consumption & Carbon FootprintAmir's SalesWorld Happiness Report

collaborators

Maggie Matsui

Curriculum Manager at DataCamp

Maggie is a Data Scientist at Etsy. She holds a degree in Statistics and Computer Science from Brown University, where she spent lots of time teaching math, programming, and statistics as a tutor and teaching assistant. She's passionate about teaching all things data-related and making programming accessible to everyone.
See More

## Don’t just take our word for it

*4.6
from 71 reviews
76%
17%
7%
0%
0%
Sort by
• Julie C.
9 days

Statistics might not be everyone's favourite thing, but this course really made it easy to understand. It’s super well-presented, and the best part is that it teaches you not just HOW to use different skills, but also WHEN to use them, which is key! If you already know a bit about stats, it’s a solid refresher too. That said, if you’re after a deep dive into the topic, this probably won’t hit the mark. It’s exactly what it says – an intro to statistics using R.

• Emmnuel F.
5 months

It was a really goof course. I like how it introduced the topics without too many formulas, particularly for me as a non stats person.

• Juan A.
6 months

Excellent content, I learned the skills to make graet analysis

• Ralf R.
6 months

This course offers a good overview of the basics about statistical thinking. It gives a good basis for people to expand into more details.

• Lorenzo A.
6 months

Good explanation and exercises help to reinforce the topic

"It was a really goof course. I like how it introduced the topics without too many formulas, particularly for me as a non stats person."

Emmnuel F.

"Excellent content, I learned the skills to make graet analysis"

Juan A.

"This course offers a good overview of the basics about statistical thinking. It gives a good basis for people to expand into more details."

Ralf R.