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 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
Course 2 – R Programming
Course 3 – Obtain and clean data
Course 4 – Exploratory Data Analysis
Course 5 – Reproducible Research
File password(s): free download software
size
In total, approximately 2.1 GB