Big Data for Data Scientists

by We Cloud Data Claim Listing

Big Data for Data Scientists is a 6-week project-based course that teaches data scientists the necessary tools to work on large-scale data science problems. The entire course is built around an end-to-end real-time machine learning problem.

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Course Details

The big data course teaches data scientists the necessary skills to scale data science solutions. If you want to build portfolio projects that will help you stand out, up-skill yourself to become a senior data scientist, or have the necessary engineering skills to become a data science solution architect, this is the right course for you.

This course is suitable for learners who want to

  • work with large-scale ML problems

  • learn how to work in a cloud-first environment

  • elevate data science portfolios via end-to-end big data analytics project

 

About the Course

Big Data for Data Scientists is a 6-week project-based course that teaches data scientists the necessary tools to work on large-scale data science problems. The entire course is built around an end-to-end real-time machine learning problem.

Students will learn the most cutting-edge big data frameworks and tools, such as AWS, Apache Spark, Amazon SageMaker, and Databricks. Students will also learn how to train machine learning models at scale and deploy models at scale in real-time.

 

What You Will Learn

  • AWS Cloud

  • Big Data and Spark

  • Scaling ML with Spark ML

  • MLOps with SageMaker

 

Case-based learning with real-life datasets

  • AdTech: Fraud Detection

  • AdTech: CTR Prediction

  • Recommender Systems

  • Search Engine (Knowledge base)

  • Social Media Analytics

  • Toronto Branch

    433 Yonge St, 2nd Floor, Toronto

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