HomeProbability & StatisticsIntroduction to Statistics

# Introduction to Statistics

4.2+
124 reviews
Beginner

Learn the fundamentals of statistics, including measures of center and spread, probability distributions, and hypothesis testing with no coding involved!

4 Hours16 Videos56 Exercises
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## Course Description

Statistics are all around us, from marketing to sales to healthcare. The ability to collect, analyze, and draw conclusions from data is not only extremely valuable, but it is also becoming commonplace to expect roles that are not traditionally analytical to understand the fundamental concepts of statistics. This course will equip you with the necessary skills to feel confident in working with analyzing data to draw insights. You'll be introduced to common methods used for summarizing and describing data, learn how probability can be applied to commercial scenarios, and discover how experiments are conducted to understand relationships and patterns. You'll work with real-world datasets including crime data in London, England, and sales data from an online retail company!

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### In the following Tracks

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#### Data Literacy Professional

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Certification Available

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1. 1

### Summary Statistics

Free

Summary statistics gives you the tools you need to describe your data. 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.

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What is statistics?
50 xp
Using statistics in the real-world
50 xp
Identifying data types
100 xp
Descriptive vs. Inferential statistics
100 xp
Measures of center
50 xp
Typical number of robberies per London Borough
50 xp
Choosing a measure
50 xp
London Boroughs with most frequent crimes
50 xp
50 xp
Defining measures of spread
100 xp
Box plots for measuring spread
50 xp
Which crime has the larger standard deviation
50 xp
2. 2

### Probability and distributions

Probability underpins a large part of statistics, where it is used to calculate the chance of events occurring. You'll work with real-world sales data and learn how data with different values can be interpreted as a probability distribution. You'll find out about discrete and continuous probability distributions, including the discovery of the normal distribution and how it occurs frequently in natural events!

3. 3

### More Distributions and the Central Limit Theorem

It's time to explore more probability distributions. You'll learn about the binomial distribution for visualizing the probability of binary outcomes, and one of the most important distributions in statistics, the normal distribution. You'll see how distributions can be described by their shape, along with discovering the Poisson distribution and its role in calculating the probabilities of events occuring over time. You'll also gain an understanding of the central limit theorem!

4. 4

### Correlation and Hypothesis Testing

In the final chapter, you'll be introduced to hypothesis testing and how it can be used to accurately draw conclusions about a population. You'll discover correlation and how it can be used to quantify a linear relationship between two variables. You'll find out about experimental design techniques such as randomization and blinding. You'll also learn about concepts used to minimize the risk of drawing the wrong conclusion about the results of hypothesis tests!

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### In the following Tracks

Certification Available

#### Data Literacy Professional

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#### Associate Data Analyst in SQL

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Collaborators

George Boorman

Curriculum Manager, DataCamp

George is a Curriculum Manager at DataCamp. He holds a PGDip in Exercise for Health and BSc (Hons) in Sports Science and has experience in project management across public health, applied research, and not-for-profit sectors. George is passionate about sports, tech for good, and all things data science.
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## Don’t just take our word for it

*4.2
from 124 reviews
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• Miguel M.

Nothing the course is very intersting

• Maja L.
5 months

Another great course!

• Павло Ф.
6 months

Well-structured course with real-world examples. Works for me. Thank you!

• Nicolas D.
6 months

Really good summary of statistics.

• Dimitrios M.
7 months

great content

"Nothing the course is very intersting"

Miguel M.

"Another great course!"

Maja L.

"Well-structured course with real-world examples. Works for me. Thank you!"

Павло Ф.