August 2017
Beginner
1h 29m
English
Overview
In this 1-hour course, you'll learn the foundational skills of R programming, a high-level statistical language used widely in data analysis. Master functional and object-oriented programming techniques and utilize the power of R's extensive library of packages. Develop efficient workflows for data manipulation, visualization, and statistical computation.
What I will be able to do after this course
- Understand the core syntax and basics of R programming effectively.
- Learn to work with data structures such as vectors, matrices, and lists.
- Gain experience with importing, manipulating, and analyzing data in R.
- Utilize R's robust package ecosystem to extend functionality.
- Perform statistical analysis and data visualization tasks with confidence.
Course Instructor(s)
David Wilkins, an experienced software developer and data scientist, specializes in teaching programming languages like R. With enriched knowledge in statistical computation and a passion for simplifying complex concepts, David ensures learners gain practical, applicable skills. His approachable teaching style makes complex topics understandable and actionable.
Who is it for?
This course is tailored for students and professionals in data science, statistics, or analytics looking to add R programming to their skillset or enhance their current knowledge. Ideal learners have some prior programming experience and a willingness to explore applied statistical methods. Aimed at empowering attendees to tackle real-world data challenges, this course provides both foundational and advanced insights.
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