Track
Work with big data in R via parallel programming, interfacing with Spark, writing scalable & efficient R code, and learn ways to visualize big data.
Loved by learners at thousands of companies
Make progress on the go with our mobile courses and daily 5-minute coding challenges.
Course
Learn to write faster R code, discover benchmarking and profiling, and unlock the secrets of parallel programming.
Learn to write faster R code, discover benchmarking and profiling, and unlock the secrets of parallel programming.
Course
Learn how to visualize big data in R using ggplot2 and trelliscopejs.
Learn how to visualize big data in R using ggplot2 and trelliscopejs.
Course
Learn how to write scalable code for working with big data in R using the bigmemory and iotools packages.
Learn how to write scalable code for working with big data in R using the bigmemory and iotools packages.
Course
Learn how to run big data analysis using Spark and the sparklyr package in R, and explore Spark MLIb in just 4 hours.
Learn how to run big data analysis using Spark and the sparklyr package in R, and explore Spark MLIb in just 4 hours.
Big Data in R
Track
Complete
Assistant Professor at Yale University
Yes! This Track is suitable for anyone looking to take their Big Data journey to the next level, regardless of their level of experience.
This Track is programmed in R.
This Track will be beneficial to a range of jobs, such as software engineering, data manipulation and administration, data science, web development, and analytics.
This Track prepares students to set themselves apart from other candidates by emphasizing on-the-job skills that will prove vital in their job search and in their careers.
It usually takes 16 hours to complete this track.
A skills track is designed to teach users specific knowledge and skills, using a combination of theory and practice, while a career track takes a more holistic approach, teaching users the skills to pursue an entire career in the field.
This track includes the following courses: Scalable Data Processing in R, Writing Efficient R Code, Introduction to Spark with sparklyr in R, Visualizing Big Data with Trelliscope in R.
The tracks helped me complete my journey without feeling lost. Each course builds on the last, keeping me motivated and on track
DataCamp helped me transition from someone curious about data to someone actively applying these skills in my job
I've been using DataCamp for four years, and it's helped me transition from filling gaps in my skills to proactively creating value for my company
