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Quick Facts

Medium Of InstructionsMode Of LearningMode Of Delivery
EnglishSelf StudyVideo and Text Based

Course Overview

Java Programming: Build a Recommendation System certification is a 5-week long programme that requires only 4 hours of a participant’s time to finish off. Also, this course is part 5 of the Java Programming and Software Engineering Fundamentals Specialization. If candidates wonder a lot regarding how Netflix or Amazon decides to recommend movies or products to their user bases, then this course is a must for them.

The Java Programming: Build a Recommendation System training will help in creating recommender systems. Also, the participants will work with movie’s data that includes reviews, and customer ratings but these can be applied to restaurants, books or more. Candidates after course completion can with flair write answers to the questions based on data including what kind of items should be recommended to different user bases.

The Highlights

  • 5 weeks programme
  • 100% online course
  • 4 hours of classes
  • Learning by self
  • Intermediate course level
  • 9 subtitles available
  • Certificate by Coursera

Programme Offerings

  • Online Course
  • Shareable Certificate
  • Flexible Deadlines
  • Graded Assignments
  • English Course
  • 9 Subtitles Available
  • Lectures
  • videos
  • Readings
  • Practice Exercises.

Courses and Certificate Fees

Certificate AvailabilityCertificate Providing Authority
yesCoursera

Eligibility Criteria

Educational Qualification

  • Knowing Vietnamese, German, Italian, French, Spanish, Arabic, English, Russian, and Portuguese (European), might prove to be beneficial. Also, having information on other courses in this specialization is appreciated.

What you will learn

Java

The candidates of the Java Programming: Build a Recommendation System certification course will learn the following:

  • Candidates will be able to read correctly, and then parse this data into maps and lists.
  • Learners will be able to calculate average ratings on websites.
  • Candidates can easily recommend movies to users based on other’s ratings.
  • Learners will also be able to calculate and compare between different ratings.
  • Candidates will be able to display movies that can be recommended to a particular user base on a particular webpage.
  • All in all the candidates will be learning skills of data structure making, Java programming, software designing, and making interfaces.

Admission Details

Java Programming: Build a Recommendation System admission process is as follows:

Step 1: Visit the official website: https://www.coursera.org/learn/java-programming-recommender

Step 2: Clicking the ‘Join for free’ button which is available on the website homepage.

Step 3: Then the participants must make a proper Coursera account with a valid email address.

Step 4: Next the admission is provided for a particular time based on the fee payment.

The Syllabus

Videos
  • Introduction and Motivation
  • Reading and Storing Data
Readings
  • Module Description / Resources
  • Programming Exercise: Step One
Assignment
  • Step One

Videos
  • Average Ratings

Readings
  • Module Description
  • Programming Exercise: Step Two
Assignment
  • Step Two

Videos
  • Filtering Recommendations

Readings
  • Module Description
  • Programming Exercise: Step Three
Assignment
  • Step Three

Videos
  • Calculating Weighted Averages

Readings
  • Module Description
  • Programming Exercise: Step Four
Assignment
  • Step Four

Peer Review
  • Step Five

Video
  • Farewell from the Instructor Team

Instructors

Robert Duvall
Lecturer

Duke University, Durham

Owen Astrachan
Professor

Duke University, Durham

Andrew D. Hilton
Associate Professor

Duke University, Durham

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