Data is everywhere—in sales figures, market research, transportation cost, logistics, and more. Let’s face it: business aggregates data really fast. Collecting data is one thing, but using it for planning and decision-making is a completely different story. Forget about Excel pivot tables and charts. If you want to make good decisions based on data you own, you need to know how to derive insights from that data. That’s why we’re introducing a new course on the R programming—2018’s must-learn language for data analytics.
R is a well-developed, easy, and effective programming language for statistical computing and graphics, and it’s unlike any other programming language you’ve known or heard about. Mastering the basics of R is not about writing hundreds of thousands of code lines—it’s about data manipulation, visualization, iteration, modeling, and communication.
That’s why R is the hottest JIT analytical skill on the job market—it not only solves real data problems but also creates business-ready reports and stunning graphics, all with cutting-edge algorithms that you don’t even need to understand to use.
This interactive intro to R course covers all the basics of R you need to know to mine through data and perform data analysis. You’ll start your R programming journey by learning how to import data into R, write custom functions, use data frames, and, most importantly, think analytically.
You don’t need any programming or data science background to learn R with Vertabelo Academy! Open yourself to more data science and big-data job opportunities, and take your career to the next level. No additional software or talking-head tutorials—just you, your browser, and 187 interactive exercises. Start learning now.
What Are the Requirements?
Just a web browser
This Course Will Teach You How To:
- Create variables in R
- Use R to do basic calculations
- Create and use R vectors
- Use and create data frames in R
- Filter data frames in R
- Add new columns to existing data frames
- Perform simple analyses on data using R
- Import CSV files into R
- Work with missing values
- Deal with R factors and their levels
Who Should Take This Course?
- Students taking classes in data analysis
- Data and business analysts
- Beginning data scientists
- Anyone who needs to present data to a group or publish a data presentation
- Anyone who wants to create meaningful and compelling charts
- Anyone interested in data science or programming