Coursera – Statistics with R Specialization 2020-9

Description

Statistics with R Specialization is a statistical training course using the R programming language. This language is specifically used for statistical calculations and data science, and during this training you will become familiar with various modeling and statistical calculations with the help of this language. In this tutorial, you will learn how to analyze and visualize data in R so that you can extract reproducible analytics reports from the data. You will also gain a conceptual understanding of the integrated nature of statistical inference, and be able to implement Frequentist inference and Bayesian inference.

Examining and criticizing statistical claims and evaluating decisions based on data and manipulating and visualizing data using R packages are other topics of this training. Also, effective modeling of natural events to understand them, using simple definitions and sentences instead of advanced statistical terms is also covered in this tutorial. With the help of this course, you can get the knowledge, skills and tools needed for data analysis projects and the expertise that is needed by professionals in the field of statistical analysis, from exploratory analysis to inference and modeling.

What do you learn?

Bayesian statistics

Linear regression, Bayesian linear and regression analysis

Statistical inference

Programming with R and working with RStudio

Exploratory data analysis

Test of statistical hypotheses

Model selection

And

Profile Statistics with R Specialization

Publisher: Coursera

Teacher: Mine etinkaya-Rundel, David Banks, Colin Rundel, Merlise A Clyde

English language

Level of training: Beginner

Number: 5 courses

Course duration: with a suggested time of 3 hours per week, approximately 7 months

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).

Installation

After Extract, watch with your favorite Player.

English subtitle

Quality: 720p