Intro to Statistics (Udacity)

Offered by Udacity,
Intro to Statistics (Udacity)

Get ready to analyze, visualize, and interpret data! Thought-provoking examples and chances to combine statistics and programming will keep you engaged and challenged.

Class Deals by MOOC List - Click here and see Udacity's Active Discounts, Deals, and Promo Codes.

Statistics is about extracting meaning from data. In this class, we will introduce techniques for visualizing relationships in data and systematic techniques for understanding the relationships using mathematics.
This course will cover visualization, probability, regression and other topics that will help you learn the basic methods of understanding data with statistics.

Syllabus

Lesson 1
Visualizing relationships in data
Seeing relationships in data.
Making predictions based on data.
Simpson's paradox.

Lesson 2
Probability
Introduction to Probability.
Bayes Rule.
Correlation vs. Causation.

Lesson 3
Estimation
Maximum Likelihood Estimation.
Mean, Median, Mode.
Standard Deviation and Variance.

Lesson 4
Outliers and Normal Distribution.
Outliers, Quartiles.
Binomial Distribution.
Manipulating Normal Distribution.

Lesson 5
Inference
Confidence Intervals.
Hypothesis Testing.

Lesson 6
Regression
Linear regression.
Correlation.

Lesson 7
Final Exam

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Calculus: Single Variable Part 2 - Differentiation (Coursera) Coursera
University of Pennsylvania

Calculus: Single Variable Part 2 - Differentiation (Coursera)

Calculus is one of the grandest achievements of human thought, explaining everything from planetary orbits to the optimal size of a city to the periodicity of a heartbeat. This brisk course covers the core ideas of single-variable Calculus with emphases on conceptual understanding and applications. The course is ideal for students beginning in the engineering, physical, and social sciences.

Nov 23rd 2026
3 Weeks
Single Variable Calculus (Coursera) Coursera
University of Pennsylvania

Single Variable Calculus (Coursera)

Calculus is one of the grandest achievements of human thought, explaining everything from planetary orbits to the optimal size of a city to the periodicity of a heartbeat. This brisk course covers the core ideas of single-variable Calculus with emphases on conceptual understanding and applications. The course is ideal for students beginning in the engineering, physical, and social sciences. Distinguishing features of the course include: 1) the introduction and use of Taylor series and approximations from the beginning; 2) a novel synthesis of discrete and continuous forms of Calculus; 3) an emphasis on the conceptual over the computational; and 4) a clear, dynamic, unified approach.

Nov 23rd 2026
5-12 Weeks
Data Science Interview Prep (Udacity) Udacity
Udacity

Data Science Interview Prep (Udacity)

Confidently take on the tech interview. Data science job interviews can be daunting. Technical interviewers often ask you to design an experiment or model. You may need to solve problems using Python and SQL. You will likely need to show how you connect data skills to business decisions and strategy. In this course, you'll review the common questions asked in data science, data analyst, and machine learning interviews.

Self Paced
Self-Paced
Statistics (Udacity) Udacity
Udacity,San Jose State University

Statistics (Udacity)

The Science of Decisions. We live in a time of unprecedented access to information...data. Whether researching the best school, job, or relationship, the Internet has thrown open the doors to vast pools of data. Statistics are simply objective and systematic methods for describing and interpreting information so that you may make the most informed decisions about life.

Self Paced
Self-Paced
Understanding Clinical Research: Behind the Statistics (Coursera) Coursera
University of Cape Town

Understanding Clinical Research: Behind the Statistics (Coursera)

If you’ve ever skipped over`the results section of a medical paper because terms like “confidence interval” or “p-value” go over your head, then you’re in the right place. You may be a clinical practitioner reading research articles to keep up-to-date with developments in your field or a medical student wondering how to approach your own research. Greater confidence in understanding statistical analysis and the results can benefit both working professionals and those undertaking research themselves.

Nov 23rd 2026
5-12 Weeks
Data Analysis with R (Udacity) Udacity
Udacity,Facebook

Data Analysis with R (Udacity)

Visually Analyze and Summarize Data Sets. Exploratory data analysis is an approach for summarizing and visualizing the important characteristics of a data set. Promoted by John Tukey, exploratory data analysis focuses on exploring data to understand the data’s underlying structure and variables, to develop intuition about the data set, to consider how that data set came into existence, and to decide how it can be investigated with more formal statistical methods.

Self Paced
Self-Paced