Stanford University

Introduction to Statistics

Guenther Walther

Instructor: Guenther Walther

520,430 already enrolled

Gain insight into a topic and learn the fundamentals.
4.6

(3,633 reviews)

Beginner level

Recommended experience

Flexible schedule
Approx. 14 hours
Learn at your own pace
96%
Most learners liked this course
Gain insight into a topic and learn the fundamentals.
4.6

(3,633 reviews)

Beginner level

Recommended experience

Flexible schedule
Approx. 14 hours
Learn at your own pace
96%
Most learners liked this course

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

13 assignments

Taught in English

See how employees at top companies are mastering in-demand skills

Placeholder
Placeholder

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV

Share it on social media and in your performance review

Placeholder

There are 12 modules in this course

This module provides an overview of the course and a review of the main tools used in descriptive statistics to visualize information.

What's included

10 videos4 readings2 assignments

In this module, you will look at the main concepts for sampling and designing experiments. You will learn about curious pitfalls and how to evaluate the effectiveness of such experiments.

What's included

6 videos1 assignment

In this module, you will learn about the definition of probability and the essential rules of probability that you will need for solving both simple and complex challenges. You will also learn about examples of how simple rules of probability are used to create solutions for real-life complex situations.

What's included

8 videos1 assignment

This module covers the empirical rule and normal approximation for data, a technique that is used in many statistical procedures. You will also learn about the binomial distribution and the basics of random variables.

What's included

10 videos1 assignment

In this module, you will learn about the Law of Large Numbers and the Central Limit Theorem. You will also learn how to differentiate between the different types of histograms present in statistical analysis.

What's included

9 videos1 assignment

This module covers regression, arguably the most important statistical technique based on its versatility to solve different types of statistical problems. You will learn about inference, regression, and how to do regression diagnostics.

What's included

10 videos1 assignment

In this module, you will learn how to construct and interpret confidence intervals in standard situations.

What's included

4 videos1 assignment

In this module, you will look at the logic behind testing and learn how to perform the appropriate statistical tests for different samples and situations. You will also learn about common misunderstandings and pitfalls in testing.

What's included

9 videos1 assignment

This module focuses on the two main methods used in computer-intensive statistical inference: The Monte Carlo method, and the Bootstrap method. You will learn about the theoretic principles behind these methods and how they are applied in different contexts, such as regression and constructing confidence intervals.

What's included

5 videos1 assignment

This module focuses on the three important statistical analysis for categorical data: Chi-Square Goodness of Fit test, Chi-Square test of Homogeneity, and Chi-Square test of Independence.

What's included

3 videos1 assignment

This module covers the basics of ANOVA and how F-tests work on one-way ANOVA examples.

What's included

5 videos1 assignment

In this module, you will learn about very important issues that have surfaced in the era of big data: data snooping and the multiple testing fallacy. You will also explore the reasons behind challenges in data reproducibility and applicability, and how to prevent such issues in your own work.

What's included

3 videos1 reading1 assignment

Instructor

Instructor ratings
4.5 (1,230 ratings)
Guenther Walther
Stanford University
1 Course520,430 learners

Offered by

Recommended if you're interested in Data Analysis

Why people choose Coursera for their career

Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."

Learner reviews

Showing 3 of 3633

4.6

3,633 reviews

  • 5 stars

    71.19%

  • 4 stars

    19.67%

  • 3 stars

    5.24%

  • 2 stars

    1.94%

  • 1 star

    1.94%

BH
5

Reviewed on Jun 26, 2023

AA
4

Reviewed on Jul 23, 2023

OK
5

Reviewed on Nov 17, 2023

New to Data Analysis? Start here.

Placeholder

Open new doors with Coursera Plus

Unlimited access to 7,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription

Advance your career with an online degree

Earn a degree from world-class universities - 100% online

Join over 3,400 global companies that choose Coursera for Business

Upskill your employees to excel in the digital economy

Frequently asked questions