Analytics
Exploratory Data Analysis
Exploring Your First Data Set with R
Learn how to explore new data sets in R by applying a structured and established data exploration blueprint.
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Course Insight
Suitable for beginner learners. This course serves as an entry point into Data Science, building foundational knowledge before moving on to advanced frameworks or specialized paths.
Beginner FriendlySelf-Paced Learning
SKILLS TO
MASTER
ModelingTrending
Predictive Machine LearningSQL Querying
Relational Data ManagementCareers:Relevant for professionals pursuing roles within Data Science.
💡This course fits perfectly into our comprehensiveData Science Learning Path. Explore the ecosystem to see how it compares to other foundational skills.
Quick Facts
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What You’ll Learn
- Course Overview : 1min.
- Background on Exploratory Data Analysis : 27mins.
- First Level Data Exploration : 39mins.
- Statistical Tests to Confirm Initial Findings : 36mins.
- Looking Ahead and Summary : 19mins.
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Description
Do you want to learn how data exploration can be implemented in R? Without data exploration, the whole data analysis process gets inefficient and slow, but follow a good data exploration process and you'll be guided to valuable insights. In this course, Exploring Your First Data Set with R, you will learn how new datasets are explored and analyzed in a quick and efficient way. First, you will learn the methods outlined, following a logical succession, which are applicable in most standard data frames. Then, you will discover how the process is divided into 3 steps: summary statistics, distribution checks, and relation analysis. These steps build on each other and you will find out which variables are worth further analysis and where variable dependencies exist.
Finally, you will gain the knowledge of the ground work for machine learning and final data presentation.
When you're finished with this course, you'll have the skills to properly structure and conduct data exploration in R.
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