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About this course

In this second course in our Data Analyst in R path, we’ll expand the fundamental programming concepts and techniques from our Intro to R course. This course will introduce you to the most common data structures you’ll encounter in the data analysis workflow. This is must-know information for any data professional.

This course focuses on the following:

  • Reinforcing fundamental coding knowledge and introducing basic data structures in R
  • Building proficiency at working with vectors, matrices, lists, and DataFrames
  • Applying all of your newly acquired data science skills in a guided data project

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How Our Data Structures in R Course Works

Understanding data structures is vital to data science and analysis. Data structures are the building blocks for data manipulation and other data operations. Most data positions will use and operate on data structures on a day-to-day basis. Even though learning data structures may not be as exciting as machine learning or data visualization, it’s critically important.At Dataquest, we’re strong believers in learning by doing. That’s why we craft every course — down to the very last lesson — as a hands-on, interactive learning experience. With us, you won’t ever have to sit through boring training videos. The best way to learn about data structures is to code, and that’s exactly what you’ll do starting on day one!

If you’re simply looking to learn more about data structures in R, this course is exactly what you need. If you want a more complete R programming learning experience, you can explore the various Paths that contain this course. If you’re learning R to pursue a career as a data analyst, check out our Data Analyst in R career path! Or maybe you simply want to become proficient with R — you can enroll in the R Basics for Data Analysis skill path. Whichever path you choose, we’ll help you reach your goals!

Two of the most valuable aspects of our learning platform are our practice problems and guided projects. At the end of every course, you’ll work through a final guided project that will put your abilities to the test and expand your data science portfolio. It’s that kind of demonstration of skill that will catch the eye of a hiring manager.

Additionally, once you join Dataquest, you’ll become a part of our vibrant and supportive community of data students and professionals ready to learn together. You’ll never learn alone, and if you ever need a hand from our powerful support tools, we’re only a click away!

Here’s a glance at our Data Structures in R course:

  • This course is the second in the Data Analyst in R career path. It consists of the five lessons listed below, which cover basic data science fundamentals in R.
  • You’ll write real code with dozens of practice problems to apply your skills.
  • At the end of each course, you’ll complete a guided project to reinforce your new knowledge and expand your portfolio.
  • When you complete this course, you’ll receive a certificate that you can share with your professional network.
  • Once you complete this course, you’ll be ready for more advanced R courses.
  • Engage with our friendly community of data professionals, get feedback on your projects, and keep building your skills.

Who Is This Data Structure in R Course for?

At Dataquest, we try to help as many people as possible. If you’re just getting started with coding or data science, we’re here to help you build your foundation. Or, If you’re an experienced R programmer or data analyst, we’re happy to help you brush up on the basics.Here are just a few examples of who can benefit from this course:

  • Data science beginners looking for fundamental R programming knowledge
  • People who want a career as a data analyst or R programmer
  • People seeking remote work
  • Anyone who works with data in telecommunication, finance, education, and healthcare
  • Junior data analysts or R programmers who want to advance in their current positions
  • Anyone who wants to be able to capture, process, and interpret data
  • Students who want to develop a competitive portfolio
  • R users who want to fill in the gaps and brush up on the basics

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