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.
Are there any other coupons available for this course?
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