Coursera – Statistics with R Specialization 2020-9

Published on: 2020-09-14 11:52:07

Categories: 28

Description

Statistics with R Specialization is a statistics science course using the R programming language . This language, specifically to do statistical calculations and science data used during this training with a variety of modeling and statistical calculation to the help of this language are familiar . During this tutorial, you will learn how to analyze and visualize data in R so that you can extract reproducible analysis reports from the data . You will also find a conceptual understanding of the integrated nature of statistical inference and be able to implement frequent inference and Bayesian inference .

Reviewing and criticizing statistical claims and evaluating decisions based on data and manipulating and illustration of data using R packages are other topics of this tutorial . Also, modeling effective event to understand them. with the use of definitions and simple sentences instead of terms advanced statistical also in this tutorial is covered . To help the course, you can set the knowledge, skills, and tools needed for the project, the analysis of data and expertise that the professionals in the field of analysis of statistical data, the analysis of exploration to inference and modeling need to gain .

What do you learn

Bayesian statistics
Linear regression, Bayesian linear and regression analysis
Statistical inference
Programming with R and working with RStudio
Heuristic data analysis
Test statistical assumptions
Model selection
And …

Specifications of Statistics with R Specialization

Publisher: Coursera
Lecturer: mine Çetinkaya-Rundel, David Banks, Colin Rundel, Merlise A Clyde
Language: English
Training level : Beginner
Quantity: 5 Periods
Duration of the course: with the proposed time of 3 hours per week, approximately 7 months

Courses

Introduction to Probability and Data with R
Inferential Statistics
Linear Regression and Modeling
Bayesian Statistics
Statistics with R Capstone

Prerequisites

Basic math, no programming experience required. A genuine interest in data analysis is a plus!
You will need R and RStudio. Both are free and publicly available. You will need administrator access to your computer to install this software.
In the later courses in the Specialization, we assume knowledge and skills equivalent to those which would have been gained in the prior courses (for example: if you decide to take course four, Bayesian Statistics, without taking the prior three courses we assume you have knowledge of frequentist statistics and R equivalent to what is taught in the first three courses).