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Intro to Statistics
BY
Udacity
Understand data with statistics and explore concepts like visualisation, regression, probability, and more with the ...Read more
Beginner
Online
Free
Quick Facts
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Medium of instructions
English
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Mode of learning
Self study
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Mode of Delivery
Video and Text Based
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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
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
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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