Introduction
Today, data science is an indispensable tool for any organization, allowing for the analysis and optimization of decisions and strategy. R (along with Python) has become the preferred software for data science, thanks to its open source nature, simplicity, applicability to data analysis, and the abundance of libraries for any type of algorithm.
From government and universities to new start-ups and big tech like Google or Microsoft, the use of R big data and data science has become a standard tool. R is a simple and powerful language, but, it can be slow and inefficient if not used properly. This class introduces you to the foundations of R programming, but also focuses on the efficiency of data processing.
This course will allow the student to learn, in detail, the fundamentals of the R language and additionally master some of the most efficient libraries for data analysis including dplyr and data.table. The course methodology is designed under the “learning by doing” maxima. The student will learn the language and applications through examples and practice. No prior programming skills are required.
Course Modules
- Module 1: Introduction and History of R
- Module 2: Configuration and Installation of R
- Module 3: Fundamental Data Types
- Module 4: Conditional Operators and Clauses
- Module 5: Loops and Functions
- Module 6: Efficient Manipulation of Data Frames
- Module 7: Best Practices for R Programming
Course Formats and Pricing – R for Data Science I: R Programming and Efficient Data Management
Class will be held each day from 8:30 – 4:00 at the location provided above.
You can also register for classes using our registration form.
