Udemy MOOC / Non-credit 0

From 0 to 1 : Spark for Data Science with Python

Name: From 0 to 1 : Spark for Data Science with Python
Price: 99.99 USD
Availability: InStock

About this course

Taught by a 4 person team including 2 Stanford-educated, ex-Googlers and 2 ex-Flipkart Lead Analysts. This team has decades of practical experience in working with Java and with billions of rows of data. 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. 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 dataUsing the PageRank algorithm with Google web graph datasetUsing Spark Streaming for stream processing Working with graph data using the Marvel 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 , red

69/100

CourseAsk score

What the provider tells you: 45/45
Who stands behind it: 8/35
How complete the listing is: 16/20

Scores how much the provider publishes and who stands behind it — not how well it is taught.

What you'll learn

understand the core functionalities of Spark
utilize Spark DataFrames and SQL for data manipulation
implement machine learning algorithms with Spark's libraries
process streaming data using Spark Streaming
work with complex datasets like social networks and web graphs

Course objectives

to equip students with practical skills in using Spark for data analytics
to enable students to apply machine learning techniques using Spark
to prepare students for real-world data science challenges

Machine Learning Data Analysis #python #machine learning #mapreduce #data analysis #dataframes #recommendation systems #sql #data science #data engineering #stream processing #spark #analytics #real-time data #RDDs #page rank #twitter data #graph processing #audioscrobbler #marvel social network

$99.99

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