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Data Analytics for Decision Making: An Introduction to Using Excel


FutureLearn

Summary

Price
Free
Study method
Online, self-paced
Duration
2 Weeks
Qualification
No formal qualification

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Overview

It's not enough to gather information; to stand out you must know how to use data to improve real-life decisions.

Course media

Description

In a world of big data, industries need big thinkers to harness its potential.

More and more organisations are investing in big data. In fact, in the next two years 76 per cent of companies are planning to increase their investment in data analytics. But it is not enough to simply gather information and crunch numbers; to stand out you must know how to analyse and use data to effectively improve real-life decisions.

Data analytics is the science of analysing raw data in order to make conclusions about that information. This course, taught by Bond University’s Associate Professor of Data Analytics Dr Adrian Gepp, introduces students to the use and application of data. You will be introduced to methods used to describe data, as well as basic probability concepts needed to understand what the data means, and how it can be applied to improve business decisions. Using Microsoft Excel, you will learn practical methods to solve basic quantitative problems in business decision making.

This course is part of our Study with Australia collection, with free upgrades and digital certificates supported by the Australian Trade and Investment Commission until 30 June, 2020. Explore more courses from leading Australian education providers.

What will you achieve?

Describe data using statistics and graphical techniques

Use the concepts of probability and discrete random variables to make business decisions

Understand the role of ethics in data analytics

Apply modern quantitative tools (Microsoft Excel) to data analysis in a business context

Understand the changing landscape of data science in the modern business world

Who is this course for?

This introductory course is for anyone who has an interest in data analytics or data science and how it can be used to improve business decision making. The content in this course can be applied to a range of industry sectors including health, sport, marketing, finance and more.

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