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Overview
What you will do during this Big Data in R course offered by Data Camp:
- Learn to write faster R code, discover benchmarking and profiling, and unlock the secrets of parallel programming.
- Learn how to visualize big data in R using ggplot2 and trelliscopejs.
- Learn how to write scalable code for working with big data in R using the bigmemory and iotools packages.
- Learn how to run big data analysis using Spark and the sparklyr package in R, and explore Spark MLIb in just 4 hours.
Programme Structure
Courses include:
- Writing Efficient R Code
- Visualizing Big Data with Trelliscope in R
- Scalable Data Processing in R
- Spark with sparklyr in R
Key information
Duration
- Part-time
- 2 days
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
Campus Location
- New York City, United States
Disciplines
Data Science & Big Data Software Engineering View 351 other Short Courses in Software Engineering in United StatesWhat students do after studying
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Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- There are no prerequisites for this track
- 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 will be beneficial to a range of jobs, such as software engineering, data manipulation and administration, data science, web development, and analytics.
Tuition Fees
Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
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International Applies to you
Applies to youNon-residentsFree - Out-of-StateFree
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Domestic
Applies to youIn-StateFree
Additional Details
This course can be accessed for free with the Data Camp Premium or Teams subscriptions
Funding
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