From 0 to 1 : Spark for Data Science with Python (Udemy.com)
Get your data to fly using Spark for analytics, machine learning and data science
Created by: Loony Corn
Produced in 2018
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
Quality Score
Overall Score : 92 / 100
Course Description
Get your data to fly using Sparkfor analytics, machine learning and data science
Lets parse that.
What's Spark?
If you are an analyst or a data scientist, you'reused 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 includingPageRank, MapReduceand Graph datasets.
What's Covered:
Lot's of cool stuff ..
Music Recommendations using Alternating Least Squares and the Audioscrobbler datasetDataframes and Spark SQL to work with Twitter dataUsingthe PageRank algorithm with Google web graph datasetUsing Spark Streaming for stream processingWorking with graph data using theMarvel Social network dataset
.. and of course all the Spark basic and advanced features:
Resilient Distributed Datasets, Transformations (map, filter, flatMap), Actions (reduce, aggregate)Pair RDDs , reduceByKey, combineByKeyBroadcast and Accumulator variablesSpark for MapReduceThe Java API for SparkSpark SQL, Spark Streaming, MLlib and GraphFrames (GraphX for Python)Who this course is for:
Yep! Analysts who want to leverage Spark for analyzing interesting datasetsYep! Data Scientists who want a single engine for analyzing and modelling data as well as productionizing it. Yep! Engineers who want to use a distributed computing engine for batch or stream processing or both
Instructor Details
- 4.6 Rating
79 Reviews
Loony Corn
Loonycorn is us, Janani Ravi andVitthal Srinivasan. Between us, we have studied at Stanford, been admitted to IIM Ahmedabadand 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
We think we might have hit upon a neat way of teaching complicated tech courses in a funny, practical, engaging way, which is why we are so excited to be here on Udemy!
We hope you will try our offerings, and think you'll like them :-)
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Reviews
- Video Duration:
8.5h - Price: 11.99 Track Price 11.99 Track Price
- Provider: Udemy
- Year:
2018 - Language:
English - Certificate:
Yes
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