Statistics with R Specialization

Statistics with R Specialization It's a Free Course. Enroll it before the instructor makes it to the paid course.

After completing Statistics with R Specialization, you will be able to…

  • Explore data via numerical summaries and visualizations
  • Types of sampling methods
  • Learn about rules of probability and commonly used probability distributions
  • Explore Categorical Variables
  • Visualise Numerical Data
  • Probability & conditional probability
  • Work with the Normal Distribution
  • Binomial Distribution
  • Work with the Binomial Distribution
  • How to set up and perform hypothesis tests and interpret p-values
  • Sampling Variability and Central Limit Theorem (CLT)
  • Hypothesis Test for a Proportion
  • Hypothesis Test for Comparing Two Proportions
  • Inference for comparing two independent means
  • Inference for comparing two paired means
  • Inference for categorical data
  • Hypothesis Test for Comparing Two Proportions
  • Estimating the Difference Between Two Proportions
  • Outliers in Regression
  • Conditions for Linear Regression
  • Regression with Categorical Explanatory Variables
  • Inference in linear regression and variability partitioning
  • Multiple regression
  • Model selection and model diagnostics
  • How conditional probabilities works
  • How to solve problems using Bayes’ rule, and update prior probabilities
  • Frequentist Approach & Bayesian Approach
  • Understand the concepts of posterior probability
  • Bayesian testing
  • Bayesian statistics
  • Working with loss functions
  • Posterior probabilities of hypotheses and Bayes factors
  • Bayesian linear regressions & multiple linear regression
  • Bayesian model uncertainty & model averaging

Object Oriented Programming in Java Specialization includes 5 Courses they are

  1. Introduction to Probability and Data with R
  2. Inferential Statistics
  3. Linear Regression and Modeling
  4. Bayesian Statistics
  5. Statistics with R Capstone

Course Instructor: Mine Çetinkaya-Rundel, David Banks, Colin Rundel, Merlise A Clyde & Offered by Duke University from Coursera.

Course Duration: Approximately 7 months to complete (Suggested pace of 3 hours/week)

Course is for Beginner Level

Can I download Statistics with R Specialization course?

You can download videos for offline viewing in the Android/iOS app. When course instructors enable the downloading feature for lectures of the course, then it can be downloaded for offline viewing on a desktop.
Can I get a certificate after completing the course?
Yes, upon successful completion of the course, learners will get the course e-Certification from the course provider. The Statistics with R Specialization course certification is a proof that you completed and passed the course. You can download it, attach it to your resume, share it through social media.
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