From 0 to 1: Spark for Data Science in Python

From 0 to 1: Spark for Data Science in Python

8 Hours
$18.00$27.00
You save 33%
From 0 to 1 : Spark for Data Science in Python

52 Lessons (8h)

  • You, This Course and Us
  • Introduction to Spark
  • Resilient Distributed Datasets
  • Advanced RDDs: Pair Resilient Distributed Datasets
  • Advanced Spark: Accumulators, Spark Submit, MapReduce , Behind The Scenes
  • Java and Spark
  • PageRank: Ranking Search Results
  • Spark SQL
  • MLlib in Spark: Build a recommendations engine
  • Spark Streaming
  • Graph Libraries
DescriptionInstructorImportant DetailsRelated Products

Make Your Data Fly Using Spark for Analytics, Machine Learning, & Data Science

L
LoonyCornLoonycorn is comprised of two individuals—Janani Ravi and Vitthal Srinivasan—who have honed their respective tech expertise at Google and Flipkart. The duo graduated from Stanford University and believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students.

Description

Analysts and data scientists typically have to work with several systems to effectively manage mass sets of data. Spark, on the other hand, provides you a single engine to explore and work with large amounts of data, run machine learning algorithms, and perform many other functions in a single interactive environment. This course's focus on new and innovating technologies in data science and machine learning makes it an excellent one for anyone who wants to work in the lucrative, growing field of Big Data.

  • Access 52 lectures & 8 hours of content 24/7
  • Use Spark for a variety of analytics & machine learning tasks
  • Implement complex algorithms like PageRank & Music Recommendations
  • Work w/ a variety of datasets from airline delays to Twitter, web graphs, & product ratings
  • Employ all the different features & libraries of Spark, like RDDs, Dataframes, Spark SQL, MLlib, Spark Streaming & GraphX

Specs

Important Details

  • Length of time users can access this course: lifetime
  • Access options: web streaming, mobile streaming
  • Certification of completion not included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: all levels

Terms

  • Unredeemed licenses can be returned for store credit within 30 days of purchase. Once your license is redeemed, all sales are final.
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