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Quick Facts

Medium Of Instructions	Mode Of Learning	Mode Of Delivery
English	Self Study	Video and Text Based

Course Overview

The Basic Recommender Systems online course is an intermediate-level programme offered by EIT Digital and Politecnico di Milano in partnership with Coursera. It is an introduction to the leading approaches in recommender systems.

You will learn about both collaborative and content-based approaches, including the key algorithms used in providing recommendations. Further, the curriculum also focuses on the benefits and limitations of various recommender system alternatives.

Basic Recommender Systems course by Coursera requires approximately twelve hours to complete. However, you can choose a study schedule at your convenience due to flexible deadlines and a self-paced format. Coursera offers the course for free to interested learners to promote quality education for people from different backgrounds.

Additionally, you can collect an electronic Basic Recommender Systems certificate and add it to the certifications section on your LinkedIn profile to get better job offers. Moreover, if you purchase the certificate, you will also get access to the course material and all the graded assignments and exercises.

The Highlights

Intermediate-level programme
English transcripts
Electronic certificate
Offered by EIT Digital
Free to join the course
Audit track available
Graded assignments
Flexible learning

Programme Offerings

Intermediate-level study
Flexible learning
Shareable E-certificate
professional certificate
12 hours to complete
Transcripts in English

Courses and Certificate Fees

Fees Informations	Certificate Availability	Certificate Providing Authority
INR 2378	yes	Coursera

Coursera’s Basic Recommender Systems certification allows you to audit the course for free, and you only need to pay the fee to pursue the certificate and graded content.

Basic Recommender Systems fee structure

Course Option	Fee in INR
Basic Recommender Systems (Audit mode)	Free
Basic Recommender Systems (with certificate)	Rs.2,378

Eligibility Criteria

To get a full understanding of the Basic Recommender Systems programme by Coursera, you must have basic knowledge of linear algebra.

Moreover, to earn the shareable electronic certificate, you are required to complete the programme.

What you will learn

Data Conversion

The Basic Recommender Systems certification syllabus will help you get familiar with the following concepts:

Building a basic recommender system
Objectives and requirements of a recommender system
Measuring the quality of a recommender system based on needs and goals
Choosing the appropriate family of a recommender system based on input data, requirements, and goals
Benefits and limitations of various techniques for the recommender systems in different scenarios

Admission Details

Step 1: You can read about Coursera's Basic Recommender Systems programme here: https://www.coursera.org/learn/basic-recommender-systems#enroll

Step 2: After going through the course info, click on the ‘Enrol for free’ option if interested.

Step 3: There will be a pop up on your screen showing the course fee and audit option. Choose one of the options and proceed to the next step.

Step 4: If you opt for the ‘audit only’ plan, you can start learning the course. If you wish to purchase the course, you must pay the course fee.

Application Details

You're required to complete a registration form to join the Basic Recommender Systems certification course. In the registration form, enter details such as your complete name, email ID, and finally, set a suitable password. Then, hit the 'Join for Free' button.

The Syllabus

Videos

Course overview and welcome by the instructor
Welcome by the instructor - module overview
Introduction to Recommender Systems
Taxonomy of Recommender Systems
Item-Content Matrix
User-Rating Matrix
Inferring Preferences
Recap by the instructor
Non-personalized Recommender Systems
Global Effects
Conclusions by the instructor

Readings

Course Syllabus
Credits & Acknowledgements

Practice Exercise

Module 1 - Graded Assessment

Videos

Welcome by the instructor - module overview
Quality of Recommender Systems
Quality Indicators
Online Evaluation Techniques
Offline Evaluation Techniques
Dataset Partitioning
Overfitting
Recap by the instructor
Error Metrics
Classification Metrics
Ranking Metrics
Conclusions by the instructor

Practice Exercise

Module 2 - Graded Assessment

Videos

Welcome by the instructor - module overview
Content-based Filtering
Cosine Similarity
Matrix Notation
K-Nearest Neighbours
Recap by the instructor
Improving the ICM
TF-IDF
Conclusions by the instructor

Practice Exercise

Module 3 - Graded Assessment

Videos

Welcome by the instructor - module overview
Collaborative Filtering
User-based CF
Recap by the instructor
Item-based CF
User-based vs. Item-based
Model-based vs. Memory-based
Recommendation as Association Rules
Conclusions by the instructor

Practice Exercise

Module 4 - Graded Assessment

Instructors

Polytechnic University of Milan, Milan Frequently Asked Questions (FAQ's)

1: What if I’m already enrolled in another Coursera certification?

Coursera allows you to earn unlimited certificates at the same time.

2: What is the process to apply for financial aid?

You can click on the ‘financial aid available’ option on the web page and complete an application form. You will get a notification if your application is approved.

3: Can I finish this course with a job?

Yes. You can complete the Basic Recommender Systems programme at your own speed and time as there are no fixed schedules.

4: Will the lessons be available in multiple languages?

No. The lessons will be in the English language along with English transcripts for better understanding.

5: What if I only choose to audit the course?

Except for the graded content, you will only receive access to the course material.