Are you looking for an R programming class?
In this Datacamp R Review, you will see precisely how DataCamp teaches the R programming language.
Then, you will learn about four career paths that use R.
Hi, my name is Carol, and I am a former software engineer and WordPress web administrator.
Now, I study online education opportunities to help you increase your value at work with education online.
TL;DR:
- DataCamp courses are interactive.
- DataCamp gives you an IDE emulation to immerse yourself in R programming lessons.
- DataCam’s Skill Tracks help you decide which courses to take and in what order.
- DataCamp Career Tracks guide you toward education that will earn you a higher salary.
The R language is used in these four career paths:
DataCamp’s Many, Many R Courses
As I set out to learn R programming, I drowned in the sea of online learning options.
I narrowed my choices to platforms offering a complete and user-friendly experience.
DataCamp Learning Interface
When I tried out DataCamp, I felt it was a true game-changer.
From the first lesson, I felt I was being gently led down a well-crafted path of knowledge.
The interface was intuitively designed, and the course content was served in bite-sized portions, perfect for someone like me with limited prior exposure to R programming.
R Programming Console Emulation
One of the standout features for me was DataCamp’s interactive coding environment.
Unlike other platforms where you’re often just passively watching videos, DataCamp thrusts you right into the action.
I found myself coding alongside the lessons, making mistakes, correcting them, and receiving immediate feedback.
This hands-on approach solidified my understanding and boosted my confidence, as I could see my progress in real time.
Data Analyst and Data Scientist Career Paths
I enjoyed my progress through the beginner course and considered what I would do next.
I appreciated how each lesson built upon the previous one.
There was a logical flow to the content, and I never felt lost or overwhelmed.
The Skill Tracks and Career Tracks were particularly helpful.
They provided a clear roadmap for my learning journey, allowing me to focus on specific areas of interest and expertise.
Whether I was diving deep into data visualization with ggplot2 or exploring advanced statistical techniques, I always felt I was on the right track.
DataCamp R Review: How Datacamp Teaches R Programming
Your classroom has an explainer area on the left of the screen and a code interpreter on the right.
After you enter your code, you can run it to see the output.
When you’re happy with your results, you submit the code for instant feedback.
You get positive reinforcement (“That’s right!”) or a detailed explanation of a problem.
You can work on your R programming skills alongside every lesson.
I find this setup far superior to reading a dry book on theory. You learn a little, you do a little, then repeat. It keeps the brain active.
When you run the R code in your workspace, the compiler returns your output (or an error message).
You can work on your R programming skills alongside every lesson.
I find this setup far superior to reading a dry book on theory. You learn a little, you do a little, then repeat. It keeps the brain active.
The system rewards you with positive feedback for correct answers.
The system gives you detailed feedback about wrong answers.
The course syllabus gives you an overview of what you’ve done and the assignments you still need to do.
How You Learn R Programming at Datacamp
R programming is popular with data scientists and data analysts.
The introductory lessons in variable creation and assignment quickly transition to statistical analysis.
Datacamp offers hundreds of classes and exercises in R, from beginner to advanced levels.
Fortunately, they break it down into tracks, so you don’t have to sort through everything to know your path.
You choose a Skill Track or a Career Track and then take the courses within that track.
This gives you a plan, direction, and an outcome that fortifies the salary you can demand on the job.
The R Skill Track at Datacamp
You start with Skill Tracks to get the basics of what you want to learn.
For example, the R Skill Track teaches you how to code in R. The R Career Track teaches you to use R as a data analyst, data scientist, R programmer, or machine learning.
The Skill Track for R programming gives you the core features to progress into statistical programming later.
Look below for the R Skill Track courses and the Data Analyst with R Career Track.
The Skill Track teaches you R programming:
- Introduction to R: Master the basics of data analysis in R, including vectors, lists, and data frames, and practice R with real data sets.
- Intermediate R: Continue your journey to becoming an R ninja by learning about conditional statements, loops, and vector functions.
- Writing Efficient R Code: Learn to write faster R code, discover benchmarking and profiling, and unlock the secrets of parallel programming.
- Introduction to Writing Functions in R: Improve your R skills by learning to write efficient, reusable functions.
- Object-Oriented Programming with S3 and R6 in R: Manage the complexity in your code using object-oriented programming with the S3 and R6 systems.
The R Career Track at Datacamp
Now, you can hone in on your career by choosing a Career Track for your R language education.
Datacamp Career Tracks for R programming include:
For example, if you choose Data Analyst, follow the Data Analyst with R Career Track.
The Career Track has nine courses and 36 hours of learning.
The first six courses are:
- Introduction to R
- Introduction to the Tidyverse
- Data Manipulation with dplyr
- Joining Data with dplyr
- Introduction to Statistics in R
- Introduction to Data Visualization with ggplot2
After these courses, you are presented with the skill assessment: Data Manipulation with R. Then you continue with these courses:
Now, you are presented with your Certificate of Completion.
But much more than that, you now have the exact skills the marketplace wants.
If you already have some skills, you might not want to take every course on the track.
In this case, you can customize your Data Analyst with R education path to the necessary courses.
Pros and Cons of Learning R at Datacamp
Pros
Cons
Should You Join Datacamp to Learn R?
Datacamp is fantastic for individuals who are interested in learning R programming language.
You can start as a beginner or a seasoned programmer.
Take the Skill Track first to learn R.
Then, take the Career Track courses to become a data analyst, a data scientist, an R programmer, or to use R for machine learning.
Datacamp Prices (Learn R for Free?)
You can access the first class of every course for free. You can create a professional profile to widen your job search prospects.
To view all courses, Datacamp is only $12.42/month. This gives you access to the course certificates, career advice, skill tracks, career tracks, and exercises.
The business Teams plan is also $12.42/month, but the administrator gets a free pass. The Teams plan allows you to manage your group, view progress, and use management tools.
The Enterprise plan price depends on your negotiation with sales. You can integrate a learning management system (LMS) with your Datacamp courses on this plan.
Conclusion
Datacamp lays out the exact courses you need to take to become a data analyst, a data scientist, an R programmer, or use R with machine learning.
Instructors can help you modify your plan for your individual needs.
Employers pay $249/year to gain access to student profile contact information. Employers come to you with job offers on the Datacamp platform.
