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Lauri Viljanen has completed

Big Data with PySpark

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25hrs
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Loved by learners at thousands of companies

1
Introduction to PySpark

Master PySpark to handle big data with ease—learn to process, query, and optimize massive datasets for powerful analytics!

4 hr

Ben Schmidt Headshot

Ben Schmidt

Data Engineer

2
Big Data Fundamentals with PySpark

Learn the fundamentals of working with big data with PySpark.

4 hr

Upendra Kumar Devisetty Headshot

Upendra Kumar Devisetty

Science Analyst at CyVerse

3
Cleaning Data with PySpark

Learn how to clean data with Apache Spark in Python.

4 hr

Mike Metzger Headshot

Mike Metzger

Data Engineer Consultant @ Flexible Creations

4
Feature Engineering with PySpark

Learn the gritty details that data scientists are spending 70-80% of their time on; data wrangling and feature engineering.

4 hr

John Hogue Headshot

John Hogue

Lead Data Scientist, General Mills

5
Machine Learning with PySpark

Learn how to make predictions from data with Apache Spark, using decision trees, logistic regression, linear regression, ensembles, and pipelines.

4 hr

Andrew Collier Headshot

Andrew Collier

Data Scientist @ Exegetic Analytics

6
Building Recommendation Engines with PySpark

Learn tools and techniques to leverage your own big data to facilitate positive experiences for your users.

4 hr

Jamen Long Headshot

Jamen Long

Data Scientist

7
Building a Demand Forecasting Model

Use PySpark to build an e-commerce forecasting model!

2 hr

Caroline Barbosa Headshot

Caroline Barbosa

Senior Data Scientist

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Instructors

  • Ben Schmidt Headshot
    Ben SchmidtData EngineerSee Ben Schmidt's Portfolio
  • Upendra Kumar Devisetty Headshot
    Upendra Kumar DevisettyScience Analyst at CyVerseSee Upendra Kumar Devisetty's Portfolio
  • Mike Metzger Headshot
    Mike MetzgerData Engineer Consultant @ Flexible CreationsSee Mike Metzger's Portfolio
  • John Hogue Headshot
    John HogueLead Data Scientist, General MillsSee John Hogue's Portfolio

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