Learning Statistics: Concepts and Applications in R

Offered By: The Great Courses Plus

Tags

R Programming Courses Statistics & Probability Courses Data Visualization Courses Regression Analysis Courses Probability Courses Hypothesis Testing Courses Sampling Courses Data Summarization Courses Analysis of Variance Courses

Course Description

Overview

Learn to tame data by learning statistics using the R programming language, taught by an award-winning and innovative educator.

Syllabus

By This Professor
01: How to Summarize Data with Statistics
02: Exploratory Data Visualization in R
03: Sampling and Probability
04: Discrete Distributions
05: Continuous and Normal Distributions
06: Covariance and Correlation
07: Validating Statistical Assumptions
08: Sample Size and Sampling Distributions
09: Point Estimates and Standard Error
10: Interval Estimates and Confidence Intervals
11: Hypothesis Testing: 1 Sample
12: Hypothesis Testing: 2 Samples, Paired Test
13: Linear Regression Models and Assumptions
14: Regression Predictions, Confidence Intervals
15: Multiple Linear Regression
16: Analysis of Variance: Comparing 3 Means
17: Analysis of Covariance and Multiple ANOVA
18: Statistical Design of Experiments
19: Regression Trees and Classification Trees
20: Polynomial and Logistic Regression
21: Spatial Statistics
22: Time Series Analysis
23: Prior Information and Bayesian Inference
24: Statistics Your Way with Custom Functions

Taught by

Talithia Williams

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