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Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English | Self Study | Video and Text Based |
Courses and Certificate Fees
| Certificate Availability | Certificate Providing Authority |
|---|---|
| yes | Coursera |
Statistical Inference Fee Structure:
Description | Fee in INR |
1 month | Rs. 4,051 |
3 months | Rs. 8,102 |
6 months | Rs. 12,154 |
The Syllabus
Videos
- Introductory video
- 02 01 Introduction to probability
- 02 02 Probability mass functions
- 02 03 Probability density functions
- 03 01 Conditional Probability
- 03 02 Bayes' rule
- 03 03 Independence
- 04 01 Expected values
- 04 02 Expected values, simple examples
- 04 03 Expected values for PDFs
Readings
- Welcome to Statistical Inference
- Some introductory comments
- Pre-Course Survey
- Syllabus
- Course Book: Statistical Inference for Data Science
- Data Science Specialization Community Site
- Homework Problems
- Probability
- Conditional probability
- Expected values
- Practical R Exercises in swirl
Practice exercise
- Quiz 1
Videos
- 05 01 Introduction to variability
- 05 02 Variance simulation
- 05 03 Standard error of the mean
- 05 04 Variance data example
- 06 01 Binomial distrubtion
- 06 02 Normal distribution
- 06 03 Poisson
- 07 01 Asymptotics and LLN
- 07 02 Asymptotics and the CLT
- 07 03 Asymptotics and confidence intervals
Readings
- Variability
- Distributions
- Asymptotics
- Practical R Exercises in swirl Part 2
Practice exercise
- Quiz 2
Videos
- 08 01 T confidence intervals
- 08 02 T confidence intervals example
- 08 03 Independent group T intervals
- 08 04 A note on unequal variance
- 09 01 Hypothesis testing
- 09 02 Example of choosing a rejection region
- 09 03 T tests
- 09 04 Two group testing
- 10 01 Pvalues
- 10 02 Pvalue further examples
- Just enough knitr to do the project
Readings
- Confidence intervals
- Hypothesis testing
- P-values
- Knitr
- Practical R Exercises in swirl Part 3
Practice exercise
- Quiz 3
Videos
- 11 01 Power
- 11 02 Calculating Power
- 11 03 Notes on power
- 11 04 T test power
- 12 01 Multiple Comparisons
- 13 01 Bootstrapping
- 13 02 Bootstrapping example
- 13 03 Notes on the bootstrap
- 13 04 Permutation tests
Readings
- Power
- Resampling
- Practical R Exercises in swirl Part 4
- Post-Course Survey
Practice exercise
- Quiz 4
Instructors
Articles
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3 Oct'23, 01:37 PM
27 Sep'23, 06:16 PM
27 Sep'23, 10:15 AM
22 Sep'23, 08:39 AM
21 Sep'23, 10:20 AM
20 Sep'23, 12:05 PM
20 Sep'23, 11:15 AM
23 Oct'23, 09:39 AM
23 Oct'23, 09:23 AM
21 Oct'23, 06:44 AM
21 Oct'23, 04:32 AM
20 Oct'23, 11:58 AM
20 Oct'23, 10:15 AM
20 Oct'23, 09:05 AM
20 Oct'23, 07:04 AM
19 Oct'23, 11:49 AM
19 Oct'23, 10:50 AM
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