Coursera – Data Science: Foundations using R Specialization 2024-6

Published on: 2024-06-03 23:12:10

Categories: 28

Description

Data Science: Foundations using R Specialization is a training set for performing statistical calculations and data science with the powerful programming language R (R) published by Coursera Online University. This training course is completely comprehensive and includes a set of data science tools and techniques. Among the most important topics discussed in this course are evaluation of different information sources and receiving data from them, cleaning and filtering data and then their final storage, programming and coding with R language, Conducting reproducible research and… pointed out. This training course is completely beginner and does not have any special prerequisites. Almost all people with any level of knowledge and expertise can benefit from the valuable content of this course and expand their skills.

What you will learn in Data Science: Foundations using R Specialization:

data science
Perform statistical calculations
R programming language
machine learning
Deep learning
GitHub
Exploratory data analysis or EDA for short
RStudio integrated development environment
Data analysis and analysis
Troubleshooting and debugging
Data manipulation language
regular expression
The process of data cleansing or data cleaning
Cluster or clustering
Data cleaning and filtering using R programming language
Data analysis and visualization using the powerful R programming language
Using GitHub to manage various data science projects
Basic installation and setup of R-Studio and GitHub and other tools required for data science
And …

Course Specifications

Publisher: Coursera
Instructors: Jeff Leek, Roger D. Peng and Brian Caffo
Language: English
Level: Beginner
institution/university: Johns Hopkins University
Number of Courses: 5
Duration: Approximately 5 months to complete – Suggested pace of 8 hours/week

Courses included:

Course 1

The Data Scientist’s Toolbox

Course 2

R Programming

Course 3

Getting and Cleaning Data

Course 4

Exploratory Data Analysis

Course 5

Reproducible Research

Data Science: Foundations using R Specialization Prerequisites

Some programming experience (in any language) is recommended. We also suggest a working knowledge of mathematics up to algebra (neither calculus or linear algebra are required).