Overview
Context of the Introduction to Spark with sparklyr in R course at Data Camp
R is mostly optimized to help you write data analysis code quickly and readably. Apache Spark is designed to analyze huge datasets quickly.
The sparklyr package lets you write dplyr R code that runs on a Spark cluster, giving you the best of both worlds.
This course teaches you how to manipulate Spark DataFrames using both the dplyr interface and the native interface to Spark, as well as trying machine learning techniques.
Programme Structure
Chapters
- Light My Fire: Starting To Use Spark With dplyr Syntax
- Tools of the Trade: Advanced dplyr Usage
- Going Native: Use The Native Interface to Manipulate Spark DataFrames
- Case Study: Learning to be a Machine: Running Machine Learning Models on Spark
Key information
Duration
- Part-time
- 1 days
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
Disciplines
Information Technology (IT) Computer Sciences Data Science & Big Data View 746 other Short Courses in Computer Sciences in United StatesAcademic 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
PREREQUISITES
- Intermediate R
Tuition Fee
To always see correct tuition fees
-
International
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 1 days. -
National
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 1 days.
Basic Access: Free; Premium (for individuals): $12.42 per month billed annually; Teams: $25 per month billed annually; Enterprise: Contact sales for pricing
Funding
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