Bond University - Data Analytics for Decision Making: An Introduction to Using Excel
- Offered byFutureLearn
Data Analytics for Decision Making: An Introduction to Using Excel at FutureLearn Overview
Data Analytics for Decision Making: An Introduction to Using Excel
at FutureLearn
Duration | 2 weeks |
Mode of learning | Online |
Official Website | Go to Website  |
Credential | Certificate |
Data Analytics for Decision Making: An Introduction to Using Excel at FutureLearn Highlights
Data Analytics for Decision Making: An Introduction to Using Excel
at FutureLearn
- Duration 2 weeks
- Weekly study 3 hours
- Digital upgrade Free
Data Analytics for Decision Making: An Introduction to Using Excel at FutureLearn Course details
Data Analytics for Decision Making: An Introduction to Using Excel
at FutureLearn
Skills you will learn
More about this course
- More and more organizations 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 analyze and use data to effectively improve real-life decisions.
- Data analytics is the science of analyzing 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.
Data Analytics for Decision Making: An Introduction to Using Excel at FutureLearn Curriculum
Data Analytics for Decision Making: An Introduction to Using Excel
at FutureLearn
Graphs, Descriptive Statistics, and Ethics
Welcome to the course
Graphical Techniques for Describing Data
Graphical Techniques for Describing Data with Excel
Descriptive Statistics for Summarising Data
The Role of Ethics in Data Analysis
Probability and beyond
Introduction to Probability for Discrete Random Variables
Event Relations
Discrete Random Variables
Making Decisions under Uncertainty
The Environment for Analytics
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