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Quick Facts

Medium Of InstructionsMode Of LearningMode Of Delivery
EnglishSelf StudyVideo and Text Based

Courses and Certificate Fees

Certificate AvailabilityCertificate Providing Authority
yesCoursera

Statistical Inference Fee Structure: 

Description

Fee in INR

1 month

Rs. 4,117

3 months 

Rs. 8,234

6 months 

Rs. 12,352


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 
Assignment
  • 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
Assignment
  • 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
Assignment
  • 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
Assignment
  • Quiz 4
Programming assignments
  • swirl Lesson 1: Power
  • swirl Lesson 2: Multiple Testing
  • swirl Lesson 3: Resampling
Peer review
  • Statistical Inference Course Project

Instructors

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