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Online Course

Data Analytics for Decision Making: An Introduction to Using Excel

Bond University via FutureLearn

Overview

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% 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 31st July, 2020. Explore more courses from leading Australian education providers.

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.

Taught by

James Todd

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Reviews

5.0 rating, based on 1 reviews

Start your review of Data Analytics for Decision Making: An Introduction to Using Excel

  • Profile image for Lindsey Overby
    Lindsey Overby

    Lindsey Overby completed this course, spending 4 hours a week on it and found the course difficulty to be medium.

    This was a great introduction to Data Analysis and how to apply it. I am new to a data analytics role in my company and this provided helpful insights into how I can think differently about data.

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