If you are a business professional, entrepreneur, or student who already understands the basics of business analytics and now wants to learn how to implement those skills on the R platform, this course stood out because it offers a focused, weekend-friendly guide that takes you from downloading and installing R to performing core analytical tasks like data exploration, transformation, and building regression models, all within a practical, project-based context.

This Course Offers

• A complete introduction to setting up and using R for analytics: You will learn to download and install R, get familiar with the R environment, and load important packages, establishing a solid foundation for your analytics work.
• Practical skills in data import and manipulation: You will learn to import data, perform exploration and transformation activities, and write your own macro functions to automate tasks, handling real data effectively.
• Expertise in bivariate analysis and data visualization: You will perform bivariate analysis and create various plots in R to understand data distribution, enabling you to explore relationships and communicate findings visually.
• Knowledge of building and interpreting regression models: You will run correlation and regression analyses and interpret the model results, building a "Losses prediction model" from scratch as a practical, end-to-end project.

Why We Love This Course

1. It is designed for busy professionals who need a fast, practical introduction. You can tell the course respects your time, with about 90 minutes of power-packed content designed to be completed over a weekend. It focuses on the essential skills needed to start using R effectively, not on exhaustive theory.
2. It is project-based and practical. The course guides you through the process of building a "Losses prediction model" from scratch, using a real-world business problem. This project-based approach ensures you apply your skills and see how they fit together.
3. It is perfect for those who already understand business analytics concepts. The course assumes you know the fundamentals of analytics and focuses on the implementation in R. This makes it a highly efficient bridge for professionals with a background in tools like SAS or SPSS.
4. The instructor has deep industry expertise. The course is created by Analytics17, a team specializing in data science for banks with experience in hundreds of projects. This ensures the skills you learn are grounded in real-world business applications.

R is a powerful, open-source tool that is widely used in business analytics. This course provides a clear, practical, and efficient path to adding R to your analytical skill set, and it is backed by a money-back guarantee if it does not meet your expectations.

• This course is specially designed for newcomers to R, starting from the very basics.
• It is a must-take course for existing professionals in business analytics who want to learn R.
• The course is also great for entrepreneurs who want to analyze their business data using open-source software, and for students researching any topic that requires data analysis.

• A decent quality laptop or desktop where R can be installed is needed.
• Prior coding knowledge is not mandatory, but it will be helpful.
• Knowledge of business analytics is recommended if you want to infer analytical test results.

Interested in exploring more lessons? Check out our full course library to continue building your skills and advancing your learning journey.