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Predictive Analytics Final Project

Provided by The University of Edinburgh (EdinburghX)
Coming Soon
8–10 hours
per week, for 6 weeks
Free

$450 USD for graded exams and assignments, plus a certificate

Apply your predictive modelling acumen in a business case setting.

Start Date:

Before you start

This course is only available to learners who have successfully completed all 4 MicroMasters courses on the verified track prior to undertaking this course:
  • PA1.1x Introduction to Predictive Analytics
  • PA1.2x Evaluation of Predictive Modelling
  • PA1.3x Statistical Predictive Modelling
  • PA1.4x Machine Learning-Based Predictive Modelling 
Course opens: May 26, 2020
Course ends: Jul 7, 2020

What you will learn

In this course, you'll learn:
  • How to effectively analyse vast amounts of data to gain valuable insight
  • A range of techniques to extract hidden information
  • How to build intelligence to assist with decision making
  • How to address common, current data analysis issues
  • The most effective methodologies through hands-on experience
This course consists of the following assessments:
  1. A theory-based proctored written exam, drawing on a holistic understanding of the four MicroMasters courses
  2. A 1,700-word Jupyter notebook submission (coding and text) that reflects a real-life case study. This is typically delivered in the form of a proof-of-concept augmented with interpretation and a visual representation of results

Overview

The final project brings together the skills and knowledge acquired throughout the MicroMasters programme. You will draw on your knowledge of data analysis techniques to demonstrate your capacity to deal effectively with current job market needs. 

You will have the opportunity to demonstrate that you can crunch vast amounts of information to gain valuable insight, as well as use a range of approaches for extracting hidden information and building intelligence to assist with decision making. 

You will also have to independently apply the methods and tools used to address common practical issues faced by data analysts today, and consolidate your understanding of the most effective methodologies used through hands-on experience. This final project will prepare you for a step change in career or set you up to pursue further study.

Please note, this course is only available to learners who have successfully completed all 4 MicroMasters courses on the verified track prior to undertaking this course:
  • PA1.1x Introduction to Predictive Analytics
  • PA1.2x Evaluation of Predictive Modelling
  • PA1.3x Statistical Predictive Modelling
  • PA1.4x Machine Learning-Based Predictive Modelling
Learners who successfully complete this final course as part of the MicroMasters programme can apply to the on-campus Masters in Business Analytics at the University of Edinburgh. Successful completion of the MicroMasters programme does not guarantee acceptance to the Master’s but, if accepted, the 30 credits awarded from the MicroMasters program will be recognised as credit obtained towards the 180 credits required for the full MSc. Visit the University of Edinburgh Business Analytics Entry Requirements page for more information.

Meet your instructors

Dr Johannes De Smedt
Dixons Carphone Lecturer in Business Analytics
The University of Edinburgh

Frequently asked questions

What software will I be required to use? 
All coding activities on this course will be hosted on Vocareum. You will be able to access this free software directly within the edX platform. There is no requirement to purchase further software in order to complete this course.  

What do I need to complete the course? 
For successful completion of this course, you will need access to a computer or mobile device and a reliable internet connection.

Can I take this as a standalone course?
No. This course is only available to learners who have successfully completed all 4 MicroMasters courses on the verified track prior to undertaking this course:
  • PA1.1x Introduction to Predictive Analytics
  • PA1.2x Evaluation of Predictive Modelling
  • PA1.3x Statistical Predictive Modelling
  • PA1.4x Machine Learning-Based Predictive Modelling

Who can take this course?

Unfortunately, learners from one or more of the following countries or regions will not be able to register for this course: Iran, Cuba and the Crimea region of Ukraine. While edX has sought licenses from the U.S. Office of Foreign Assets Control (OFAC) to offer our courses to learners in these countries and regions, the licenses we have received are not broad enough to allow us to offer this course in all locations. EdX truly regrets that U.S. sanctions prevent us from offering all of our courses to everyone, no matter where they live.

View Courses
This course is part of:

Earn a MicroMasters® Program Certificate in 1 year if courses are taken one at a time.

View the program
  1. 48–60 hours of effort

    In the age of Big Data, businesses need predictive analysts to help them excel against competitors. Take a deep-dive into the first steps of the predictive analytics process.

  2. 48–60 hours of effort

    Gain an in-depth understanding of evaluation and sampling approaches for effective predictive modelling.

  3. 48–60 hours of effort

    Learn how to use regression and Bayesian inference to build statistical predictive models.

  4. 48–60 hours of effort

    Learn how to build predictive models using tree-based and other machine learning approaches.

  5. Predictive Analytics Final Project

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