Predictive Analytics Final Project

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Overview

Apply your predictive modelling acumen in a business case setting.

What 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

Syllabus 3

A theory-based written exam, drawing on a holistic understanding of the four MicroMasters courses.
A Jupyter notebook submission 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
A 1,700-word reflective submission based upon the Jupyter notebook submission.

Skills you'll practise

Business Analytics Predictive Modeling Data Analysis Predictive Analytics Business Case

Advantages and disadvantages

Advantages

University courses you can audit for free, with lectures, readings and practice quizzes.
A verified certificate from the university if you pay for it.
From University of Edinburgh, a well-regarded name.
A clear syllabus (3 parts) you can see before you start.
Hands-on: you build or practise, not just watch.

Disadvantages

Graded assignments and the certificate need the paid track.
Audit access can expire a few weeks after the course ends.
Learning is free, but the certificate costs money.
Some parts (graded work, certificate) are paid.
Runs on fixed dates, so you may have to wait for the next run.

Some points apply to every course of this kind; see how we rank.

Free to audit

Free: Choose "Audit this course" when you enrol: lectures, readings and practice are free.
Paid: Graded assignments and the verified certificate. Audit access may end after the course closes.

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 using Python PA1.2x Successfully Evaluating Predictive Modelling PA1.3x Statistical Predictive Modelling and Applications PA1.4x Predictive Analytics using Machine Learning

Taught by

Dr Xuefei LuLecturer in Predictive Analytics
Dr Johannes De SmedtAssistant Professor in Business Information Systems
Dr Zexun ChenLecturer in Predictive Analytics

University of Edinburgh is in Tier 2: excellent universities and the companies that build the technology of our institution ranking (86/100).

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