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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.

R image

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
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    One to Rule 'Em All

    Includes 41 courses Python Basics. Part 1, Python Basics. Part 2, Python Basics. Part 3, Python Data Structures in Practice, Built-in Algorithms in Python, Working with Strings in Python, SQL Basics, SQL Practice Set, SQL JOINs, Standard SQL Functions, Creating Basic SQL Reports, Window Functions, Revenue Trend Analysis in SQL, How to INSERT, UPDATE, and DELETE Data in SQL, Recursive Queries, Creating Tables in SQL, Introduction to R, Tidyverse, Data Visualization 101, Statistics 101, SQL Basics in MS SQL Server, How to Insert, Update, or Delete Data in MS SQL Server, Common Functions in MS SQL Server, Revenue Trend Analysis in SQL Server, Creating Basic SQL Reports in SQL Server, Window Functions in MS SQL Server, Recursive Queries in MS SQL Server, GROUP BY Extensions in MS SQL Server, Introduction to Python for Data Science, How to Read and Write CSV Files in Python, How to Read and Write JSON Files in Python, Lists and Functions in R, Data Manipulation in R, SQL Basics in PostgreSQL, PostgreSQL JOINs, SQL Practice Set in PostgreSQL, Window Functions in PostgreSQL, Recursive Queries in PostgreSQL, Writing User-Defined Functions in PostgreSQL, PostGIS, How to Read and Write Excel Files in Python

    Bundle price $199

    37 hours left at this price!


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    Basic Data Analytics

    Includes 8 courses SQL Basics, SQL Practice Set, SQL JOINs, Introduction to R, Tidyverse, Data Visualization 101, Statistics 101, Introduction to Python for Data Science

    Bundle price $95

    37 hours left at this price!

    Table of contents

    Progress: 0% completed 0 of 165 exercises done

    1. R Basics

    Learn how to do simple computations in R, how to create and work with variables, and how to use functions.

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    0% completed 0 of 28 exercises done

    2. Vectors

    Get to know vectors, R's most basic data type. Master vector operations, vector indexing, and vector filtering. Discover foundations for simple analysis in R.

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    0% completed 0 of 34 exercises done

    3. Data frames

    Learn about data frames, R's data type to store data sets. Get to know how to filter data frames. Practice data analysis with data frames.

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    0% completed 0 of 36 exercises done

    4. Creating data frames and adding columns

    Learn how to load data from CSV files into R. Discover feature engineering: learn how to add new columns to a data frame.

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    0% completed 0 of 22 exercises done

    5. Working with special values

    Learn about NAs - R's way of handling missing data. Discover factors to help you work with categorical data.

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    0% completed 0 of 32 exercises done

    6. Quiz

    Check your R data analysis skills.

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