Data Science for Java Developers Preview

Data Science for Java Developers

With Shaun Wassell Liked by 177 users
Duration: 3h 51m Skill level: Advanced Released: 3/24/2021

Course details

Learning the basics of data science and how to apply them in Java opens up a world of possibilities for you, in terms of building software and job opportunities. In this course, instructor Shaun Wassell takes you through the skill sets required for data science, shows you how to visualize data in Java, and explores different methods of turning data into information. Shaun introduces some basic concepts and examples of data science, then walks you through the process of representing data in Java and some difficulties you may encounter. He discusses data manipulation techniques like mapping, filtering, collecting, and sorting. Shaun describes how to find, gather, clean, manipulate, and store data, so that you can start doing useful things with it. Next, he shows you the fun part: different methods you can use to turn data into information. Shaun covers Nearest-Neighbor, Bayes, linear regression, decision trees, clustering, and more.

Skills you’ll gain

Earn a sharable certificate

Share what you’ve learned, and be a standout professional in your desired industry with a certificate showcasing your knowledge gained from the course.

Sample certificate

Certificate of Completion

  • Showcase on your LinkedIn profile under “Licenses and Certificate” section

  • Download or print out as PDF to share with others

  • Share as image online to demonstrate your skill

Meet the instructor

Learner reviews

4.6 out of 5

49 ratings
  • 5 star
    Current value: 38 77%
  • 4 star
    Current value: 7 14%
  • 3 star
    Current value: 2 4%
  • 2 star
    Current value: 1 2%
  • 1 star
    Current value: 1 2%

Contents

What’s included

  • Practice while you learn 1 exercise file
  • Learn on the go Access on tablet and phone

Similar courses

Download courses

Use your iOS or Android LinkedIn Learning app, and watch courses on your mobile device without an internet connection.