Data Analysis with R
- Offered byUDACITY
Data Analysis with R at UDACITY Overview
Data Analysis with R
at UDACITY
Visually Analyze and Summarize Data Sets
Total fee | Free |
Mode of learning | Online |
Difficulty level | Intermediate |
Official Website | Explore Free Course  |
Credential | Certificate |
Data Analysis with R at UDACITY Highlights
Data Analysis with R
at UDACITY
- Highly-curated content
Taught by industry experts
Self-paced progress
Data Analysis with R at UDACITY Course details
Data Analysis with R
at UDACITY
Skills you will learn
More about this course
- Exploratory data analysis is an approach for summarizing and visualizing the important characteristics of a data set
- Exploratory data analysis focuses on exploring data to understand the data’s underlying structure and variables, to develop intuition about the data set, to consider how that data set came into existence, and to decide how it can be investigated with more formal statistical methods
Data Analysis with R at UDACITY Curriculum
Data Analysis with R
at UDACITY
Data Analysis with R at UDACITY Faculty details
Data Analysis with R
at UDACITY
Chris Saden
Designation : Instructor
Moira Burke
Designation : Instructor
Solomon Messing
Designation : Instructor
Dean Eckles
Designation : Instructor
Data Analysis with R at UDACITY Entry Requirements
Data Analysis with R
at UDACITY
Eligibility criteria
- A background in statistics is helpful but not required. Consider taking Intro to Descriptive Statistics prior to taking this course. Relevant topics include: Mean, median, mode Normal, uniform, and skewed distributions Histograms and box plots Familiarity with the following CS and Math topics will help students: Variable assignment Comparison and logical operators ( <, >, <=, >=, ==, &,
- ) If else statements Square roots, logarithms, and exponentials
Conditional Offer
- Not mentioned
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