Brief Introduction
Build a foundation in R and learn how to wrangle, analyze, and visualize data.Course Summary
Learn the basics of data science and R programming through this online course offered by Harvard. Build a foundation in statistics, data wrangling, and visualization techniques.Key Learning Points
- Gain practical skills in data manipulation and analysis using R
- Learn to visualize data through the use of R graphics
- Understand the fundamentals of statistical inference
Job Positions & Salaries of people who have taken this course might have
- USA: $62,453
- India: ₹4,68,909
- Spain: €35,000
- USA: $62,453
- India: ₹4,68,909
- Spain: €35,000
- USA: $67,456
- India: ₹6,16,679
- Spain: €41,000
- USA: $62,453
- India: ₹4,68,909
- Spain: €35,000
- USA: $67,456
- India: ₹6,16,679
- Spain: €41,000
- USA: $113,309
- India: ₹10,27,040
- Spain: €60,000
Related Topics for further study
Learning Outcomes
- Ability to manipulate and analyze data using R
- Skills in creating visualizations with R graphics
- Understanding of key statistical concepts and techniques
Prerequisites or good to have knowledge before taking this course
- Basic knowledge of statistics
- Familiarity with programming concepts
Course Difficulty Level
BeginnerCourse Format
- Online
- Self-paced
Similar Courses
- Python for Data Science
- Data Science Essentials
Related Education Paths
Related Books
Description
Course description
The first in our Professional Certificate Program in Data Science, this course will introduce you to the basics of R programming. You can better retain R when you learn it to solve a specific problem, so you’ll use a real-world dataset about crime in the United States. You will learn the R skills needed to answer essential questions about differences in crime across the different states.
We’ll cover R's functions and data types, then tackle how to operate on vectors and when to use advanced functions like sorting. You’ll learn how to apply general programming features like “if-else,” and “for loop” commands, and how to wrangle, analyze and visualize data.
Rather than covering every R skill you might need, you’ll build a strong foundation to prepare you for the more in-depth courses later in the series, where we cover concepts like probability, inference, regression, and machine learning. We help you develop a skill set that includes R programming, data wrangling with dplyr, data visualization with ggplot2, file organization with UNIX/Linux, version control with git and GitHub, and reproducible document preparation with RStudio.
The demand for skilled data science practitioners is rapidly growing, and this series prepares you to tackle real-world data analysis challenges.
Knowledge
- What you'll learn
- Basic R syntax
- Foundational R programming concepts such as data types, vectors arithmetic, and indexing
- How to perform operations in R including sorting, data wrangling using dplyr, and making plots
Summary of User Reviews
Discover the fundamentals of R programming and its application in data science. This course has received positive reviews from many users who found it to be informative, engaging and helpful in developing their data science skills.Key Aspect Users Liked About This Course
The course provides a comprehensive introduction to R programming and its use in data science.Pros from User Reviews
- Well-structured and easy to follow course material
- Engaging and interactive learning experience
- Great for beginners and those looking to refresh their knowledge of R programming
- Helpful assignments and quizzes to reinforce learning
- Excellent resources and support from instructors
Cons from User Reviews
- Some users found the course to be too basic and not challenging enough
- Limited coverage of advanced topics in R programming
- Some technical issues with the online platform
- Lack of interaction with other students and instructors
- Course content may not be relevant for certain industries or applications
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