Foundations using the R specialization 2022-10 – Download

Description

Data Science: Foundations using R Specialization is a training package for performing statistical calculations and data science with the powerful R programming language published by Coursera Online University. This training is completely comprehensive and includes a set of data science tools and techniques. Some of the most important topics covered in this course include evaluating different sources of information and receiving data, cleaning and filtering data and then storing it ultimately, programming and coding with the R language, conducting of reproducible research and… underlined. This training is completely beginner-friendly and has no particular prerequisites. Almost anyone, regardless of their level of knowledge and expertise, can benefit from the valuable content in this course and develop their skills.

What you’ll learn in Data Science: Foundations Using the 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 analytics
  • Troubleshooting and debugging
  • Data manipulation language
  • regular expression
  • The process of data cleansing or data cleansing
  • Cluster or clustering
  • Data cleaning and filtering using the R programming language
  • Data analysis and visualization using the powerful R programming language
  • Use GitHub to manage various data science projects
  • Basic installation and configuration of R-Studio and GitHub and other tools required for data science
  • And…

Course Specifications

Editor: Coursera
Instructors: Jeff Leek, Roger D. Peng and Brian Caffo
French language
Beginner level
institution/university: Johns Hopkins University
Number of lessons: 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

Obtaining 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 nor linear algebra are required).

Pictures

Data Science: Foundations Using the R Specialization

Data Science: Foundations Using the R Specialization Intro Video

Installation guide

After the clip, watch with your favorite reader.

english subtitles

Quality: 720p

This specialization contains 5 courses.

Download links

Course 1 – The Data Scientist’s Toolbox

Download the course – 132 MB

Course 2 – R Programming

Download the course – 453 MB

Course 3 – Obtain and clean data

Download the course – 341 MB

Course 4 – Exploratory Data Analysis

Download the course – 511 MB

Course 5 – Reproducible Research

Download the course – 587 MB

File password(s): free download software

size

In total, approximately 2.1 GB

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