From 0 to 1 : Spark for Data Science with Python-0daytown

Video Description

Get your data to fly using Spark for analytics, machine learning and data science Let’s parse that. What’s Spark? If you are an analyst or a data scientist, you’re used to having multiple systems for working with data. SQL, Python, R, Java, etc. With Spark, you have a single engine where you can explore and play with large amounts of data, run machine learning algorithms and then use the same system to productionize your code.Analytics: Using Spark and Python you can analyze and explore your data in an interactive environment with fast feedback. The course will show how to leverage the power of RDDs and Dataframes to manipulate data with ease. Machine Learning and Data Science : Spark’s core functionality and built-in libraries make it easy to implement complex algorithms like Recommendations with very few lines of code. We’ll cover a variety of datasets and algorithms including PageRank, MapReduce and Graph datasets.

Style and Approach

A 8 hour high-quality courses available at super low prices to cover Spark, Machine Learning and Data Science

Table of Contents

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

What You Will Learn

Use Spark for a variety of analytics and Machine Learning tasks
Implement complex algorithms like PageRank or Music Recommendations
Work with a variety of datasets from Airline delays to Twitter, Web graphs, Social networks and Product Ratings
Use all the different features and libraries of Spark : RDDs, Dataframes, Spark SQL, MLlib, Spark Streaming and GraphX

Authors

Loonycorn

Loonycorn is Janani Ravi and Vitthal Srinivasan. Between them, they have studied at Stanford, been admitted to IIM Ahmedabad and have spent years working in tech, in the Bay Area, New York, Singapore and Bangalore.

Janani: 7 years at Google (New York, Singapore); Studied at Stanford; also worked at Flipkart and Microsoft

Vitthal: Also Google (Singapore) and studied at Stanford; Flipkart, Credit Suisse and INSEAD too.

They think they might have hit upon a neat way of teaching complicated tech courses in a funny, practical, engaging way, which is why they are so excited to be here. They hope you will try our offerings, and you’ll like them ?

From 0 to 1 : Spark for Data Science with Python

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From 0 to 1 : Spark for Data Science with Python

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