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 details
Publisher: Coursera
teacher: Jeff Leek ,Roger D. Peng And Brian Caffo
English language
Provider institution/university: Johns Hopkins University in collaboration with Swift Key
Education level: introductory
Number of courses: 5
Duration of training: assuming 8 hours of work per week, about 5 months
Courses available in Data Science: Foundations using R Specialization
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
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).
Pictures
Sample video Data Science: Foundations using R Specialization
Installation guide
After extracting, watch with your favorite player.
English subtitle
Quality: 720p
This educational series consists of 5 separate courses.
download link
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
Password file(s): www.downloadly.ir
The size of the files
About 2.1 GB in total
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