Intro to Statistics

BY
Udacity

Understand data with statistics and explore concepts like visualisation, regression, probability, and more with the Intro to Statistics online course by Udacity

Lavel

Beginner

Mode

Online

Fees

Free

Quick Facts

particular details
Medium of instructions English
Mode of learning Self study
Mode of Delivery Video and Text Based

Course overview

Learn how to make decisions harnessing the power of data and statistics with Intro to Statistics by Udacity. Besides, the training is free of cost.

Statistics is all about extracting meaningful insights from data. In this Intro to Statistics course, you will get acquainted with several techniques to visualise relationships in data. You will also explore systematic techniques to understand these relationships using mathematics.

The Intro to Statistics course syllabus is extensive and covers probability, estimation, inference, regression, outliers, and normal distribution, and more. Moreover, in the programme, taught by industry professionals, you learn by doing exercises and going through instructor-led videos.

The Intro to Statistics training features rich learning content, self-paced material, and interactive quizzes. What’s more, for enrolment, you don’t need any previous expertise in statistics. However, if you are familiar with algebra, like knowing how to calculate the median, mean, and mode of a set of numbers, it will help you make the most of the programme.

The highlights

  • Beginner-friendly study
  • Free course
  • Industry professional instructors
  • Interactive quizzes
  • Self-paced training
  • Udacity offering
  • Exercises
  • No eligibility requirements
  • Rich learning material

Program offerings

  • Beginner-friendly study
  • Free course
  • Industry professional instructors
  • Self-paced training
  • Interactive quizzes
  • Udacity offering
  • No eligibility requirements
  • Exercises
  • Rich learning material.

Course and certificate fees

Type of course

Free

certificate availability

No

Eligibility criteria

The Intro to Statistics programme does not require any pre-existing knowledge in statistics. However, it would be helpful for you if you are familiar with algebra on a basic level, like computing the mean, median, and mode of a set of numbers.

What you will learn

Statistical skills

As you complete the Intro to Statistics syllabus, you will learn about:

  • Bayes Rule
  • Visualising relationships with data
  • Probability
  • Estimation
  • Correlation vs Causation
  • Maximum Likelihood Estimation
  • Variance
  • Simpson’s paradox
  • Standard Deviation
  • Binomial Distribution
  • Outliers
  • Manipulating Normal Distribution
  • Quartiles
  • Inference
  • Confidence Intervals
  • Hypothesis Testing

The syllabus

Lesson 1

  • 1. Teaser

Lesson 2

  • 2. Looking at Data

Lesson 3

  • 3. Scatter Plots

Lesson 4

  • 4. Bar Charts

Lesson 5

  • 5. Pie Charts

Lesson 6

  • 6. Programming Charts (Optional)

Lesson 7

  • 7. Admissions Case Study

Lesson 8

  • Problem Set 1: Visualization

Lesson 9

  • 8. Probability

Lesson 10

  • 9. Conditional Probability

Lesson 11

  • 10. Bayes Rule

Lesson 12

  • 11. Programming Bayes Rule (Optional)

Lesson 13

  • 11A. Probability Distributions

Lesson 14

  • 12. Correlation vs. Causation

Lesson 15

  • Problem Set 2: Probability

Lesson 16

  • 13. Estimation

Lesson 17

  • 14. Averages

Lesson 18

  • 15. Variance

Lesson 19

  • 16. Programming Estimators (Optional)

Lesson 20

  • Problem Set 3: Estimators

Lesson 21

  • 17. Outliers

Lesson 22

  • 18. Binomial Distribution

Lesson 23

  • 19A. Central Limit Theorem

Lesson 24

  • 19. Central Limit Theorem Programming (Optional)

Lesson 25

  • 20. The Normal Distribution

Lesson 26

  • 21. Manipulating Normals

Lesson 27

  • 22. Most Better than Average

Lesson 28

  • Problem Set 4

Lesson 29

  • 23. Sebastian's Weight and Proofs (Optional)

Lesson 30

  • 24. Confidence Intervals

Lesson 31

  • 25. Normal Quantiles

Lesson 32

  • 26. Hypothesis Test

Lesson 33

  • 27. Hypothesis Test 2

Lesson 34

  • 28. Programming Tests and Intervals (Optional)

Lesson 35

  • Problem Set 5: Inference

Lesson 36

  • 29. Regression

Lesson 37

  • 30. Correlation

Lesson 38

  • 31. Monty Hall Problem (Optional)

Lesson 39

  • Problem Set 6: Regression and Correlation

Lesson 40

  • 32. Weight Case Studies

Lesson 41

  • 33. Flash Crash Example

Lesson 42

  • 34. Challenger Example

Lesson 43

  • Final Exam

Admission details

Step 1- https://www.udacity.com/course/intro-to-statistics--st101, tap here and reach the Intro to Statistics programme page.

Step 2- Click on ‘Start Free Course’. Now sign up or sign with new credentials or use your Google or Facebook profiles to proceed.

Step 3 – Access your lessons on Udacity’s classroom portal.


Filling the form

For the Intro to Statistics online course, the sign-up form requires your full name, email address, and a strong password.  

How it helps

The Intro to Statistics course benefits includes laying down the perfect foundation for using statistics to derive meaningful insights from large datasets. Since this is a beginner-level study, you need not be an expert in statistics to enrol.

The training from Udacity helps you upskill since you will master the techniques for visualising several relationships in data. Moreover, you will learn how to use systematic techniques to understand these relationships using mathematics.

Instructors

Mr Sebastian Thrun
President
Udacity

FAQs

What is the Intro to Statistics course fee?

This Udacity training is free of cost.

Do I need a special internet browser to enrol in the Intro to Statistics online course?

Udacity strongly recommends using an up-to-date version of Chrome. You can also study via the latest versions of Safari, Firefox, Opera, and Microsoft Edge. Also, nowadays, most of the training features like Knowledge, Classroom, and Student Hub, are well supported on the mobile web. 

Does the programme require expertise in statistics?

No. The Intro to Statistics training is beginner-friendly and does not necessitate previous knowledge in statistics. However, basic familiarity with algebra and concepts like mean, median, and mode will help.

Can I get a glimpse of the training before enrolment?

Yes. You can check out a trailer for the course on the link - https://www.udacity.com/course/intro-to-statistics--st101. Click on ‘watch trailer’.

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