Predictive Analytics for Business Applications | EdinburghX on edX

This is the age of Big Data. Market forecasts indicate that worldwide revenues for big data and business analytics solutions are expected to reach $189.1 billion this year, an increase of 12% since 2018. IDC expects worldwide BDA revenue will be $274.3 billion by 2022. (Source: IDC)

Organisations hold more information about their business environments than ever before. Increasingly, these organisations are recognising the role of data science in gaining insights and out-thinking competitors. As a result, there is a growing demand for employees and managers who have advanced analytics skills and the ability to make informed decisions that drive organisational success.

Predictive analytics is being adopted across many business sectors to predict trends and build models that support proactive business decisions and identify both risks and opportunities.

This MicroMasters® program has been designed by the University of Edinburgh to equip you with the skills to successfully set up and deploy your own predictive analysis. The program breaks the process down into four key parts that will help you to develop strong capabilities in this field.

You will be introduced to the major concepts used in a predictive model, learn how to prepare data for modelling, and build predictive models using a range of statistical and machine learning methodologies on a variety of real-life datasets. You will discuss, evaluate, implement, and test each approach to get you acquainted with performing a solid predictive exercise.

What you will learn:
-Identify various business settings in which predictive analytics can be used
-Formulate a predictive model suitable for a broad range of problem scenarios
-Build and use predictive models both for classification and regression problems
-Implement insights in Python
-Interpret predictive models to solve business problems, and critically reflect on their outcomes