Introduction to Data Literacy

Understanding how to work with data is an increasingly important skill. Businesses collect huge volumes of data and they expect their workforce to be able to use that data to inform decision making and to justify new strategies, products, and business processes. Fortunately, if you have basic math skills (arithmetic and some exposure to algebra) then you have the skills needed to be data literate.
This course starts by introducing you to the business factors that are driving the need for data literacy and then we'll turn our attention to working with data. We start at the beginning by defining data and reviewing characteristics of data, including the difference between quantitative data and qualitative data, types of data, and levels of measurement.
You will learn how to analyze data to gain insights using descriptive statistics, such as comparing the sales performance of several retail stores. You will also see how to compare results of different options, such as determining which of two different advertising campaigns is more effective. If you need to plan ahead to ensure you have enough inventory to meet future demand, then you are making forecasts. In this course, you'll learn how to make more informed forecasts using data at your disposal.
Of course, you will often need to share the results of your data analysis so this course includes a detailed example of how to collect data to support an idea and how to present the results of your findings so others can share in your insights.
Data is a resource that can help you do your job better and data literacy gives you the tools to tap into that valuable resource. Let's get started working with data.
Who this course is for:
Managers and others who do not have extensive experience with statistics and other math but want to use data in their work.
Anyone who wants to understand sales, inventory, and operations data to improve business performance.
Anyone who wants to be able to assess proposals and plans that are supported by data
Anyone who needs to convince others of their ideas and want to use data to support their arguments.