Now that we understand that (X) represents a column of data, let’s take a look at how we can perform operations on the data that is represented by (X). In …
In the last activity, we learnt that (X) represents a column of data in your data set. We still need a way to identify single variables in our data set, …
From algebra, we understand that (X) is a variable, but in statistics, (X) works a little differently. (X) is still a variable, but it does not represent a single number …
In this section, we’ll dig into some of the actual math behind data analysis. The tools we’ll pick up in this lesson will form the bedrock of everything that comes …
There are four levels of measurement that we shall use when we are statistically analysing data. Let’s have a look at these briefly. Nominal Data These pieces of data indicate …
Numeric data is not always as simple as it seems. Sometimes numbers represent items rather than giving us a simple count of the value of the items. We generally have …
In the previous lesson, we learned about the different types of data. Here we’re going to look at different levels of measurement. Levels of measurement are different ways that we …
In this introductory lesson, we’ll explore the basics of data set anatomy including variables, observations, and how a tidy data set is organised. We’ll also look at some concrete examples …
In this lesson, we’ll explore a few different types and kinds of data. We’ll also talk about how these different types form a hierarchy, depending on how much information each …
Welcome to the Essential Mathematics for Data Analysis in Microsoft Excel course. Starting with the absolute basics of maths and data, this course builds up your analyst skills while removing …
Welcome to Microsoft Future Ready: Data Analysis Using Excel with Essential Mathematics course. Starting with the absolute basics of maths and data, this course builds up your analyst skills while …
Lesson 3: Time Series Forecasting In this lesson, we’ll look at another forecasting method. This one is useful if we have a long history of data (for example, revenue over …