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Overview
Context
When your dataset is represented as a table or a database, it's difficult to observe much about it beyond its size and the types of variables it contains.
By the end of the Exploratory Data Analysis in R course offered by Data Camp, you'll be able to answer these questions and more, while generating graphics that are both insightful and beautiful.
What you will do during this course:
- Learn how to create graphical and numerical summaries of two categorical variables.
- Learn how to graphically summarize numerical data.
- Learn some useful statistics for describing distributions of data.
- Apply what you've learned to explore and summarize a real world dataset in a case study of email spam.
Programme Structure
Chapters include:
- Exploring Categorical Data
- Numerical Summaries
- Exploring Numerical Data
- Case Study
Key information
Duration
- Part-time
- 1 days
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
Campus Location
- New York City, United States
Disciplines
Data Analytics View 179 other Short Courses in Data Analytics in United StatesWhat students do after studying
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Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
Prerequisites
- Introduction to Statistics in R
- Introduction to Data Visualization with ggplot2
Tuition Fees
Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
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International Applies to you
Applies to youNon-residentsFree - Out-of-StateFree
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Domestic
Applies to youIn-StateFree
Additional Details
This course can be accessed for free with the Data Camp Premium or Teams subscriptions
Funding
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