Data Science: Sparklyr Basics for Beginners

Learn to interact with data in Apache Spark through sparklyr and simplify machine learning model implementations.

Ratings: 3.45 / 5.00




Description

Embark on an enthralling journey through the world of Data Science with our cutting-edge course, "Data Science: Sparklyr Basics for Beginners." Experience the power of Apache Spark, the revolutionary tool that has transformed the landscape of distributed applications, and learn to wield its capabilities to shape the future. This course will equip you with the skills to develop data science solutions that make a tangible impact on real-world industries, unleashing the full potential of data-driven innovation.

In this immersive learning experience, you'll delve into:

  1. Unraveling the intricacies of data frame manipulation in R and Spark, and mastering the art of data management.

  2. Conducting exploratory data analysis in Spark with finesse, employing the versatile sparklyr package.

  3. Seamlessly connecting to Spark, whether locally or remotely, and navigating the powerful Spark cluster with ease.

  4. Crafting sophisticated data products in R that effortlessly handle big data without local storage constraints.

  5. Engaging with Apache Spark data using sparklyr and Spark SQL, harnessing the synergy of these powerful tools.

Upon completing this course, you'll emerge as a skilled Spark practitioner, capable of using it as a big data operating system, implementing advanced analytics on innovative APIs, and effortlessly incorporating Spark into your day-to-day tasks. Don't miss this opportunity to elevate your career in Data Science and join the ranks of those shaping the world through data-driven solutions. Enroll now and seize your chance to make a difference!

What You Will Learn!

  • Learn to perform exploratory data analysis in Spark using sparklyr
  • Understand the differences between working with data frames in R and Spark
  • Learn how to connect to Spark locally or to a remote Spark cluster
  • Learn how to build data products in R that don't rely on storing big data locally
  • Learn how to interact with data in Apache Spark through sparklyr and Spark SQL

Who Should Attend!

  • Web Developers
  • Software Developers
  • Anyone who wants to learn Spark
  • Anyone interested in data science