Statistics involves collecting, analysing, interpreting, presenting, and organising data and provides methods for making inferences and conclusions about a population based on a sample of data.
Understanding the fundamentals of statistics can help make sense of large datasets by summarising and drawing meaningful insights from them.
So, whether you are calculating averages, measuring variability, or testing hypotheses, statistics can play a crucial role in the business.
This introductory course targets you, the data user, who wants to learn the basics of statistical analysis and will help you become more confident in using standard statistics in your day-to-day activities. It will also serve as an introduction to more advanced statistical tools available in products like Excel.
You will build and develop your statistical knowledge throughout the course using sample data inside an Excel environment.
We will help you apply the topics covered in the course to your everyday activities through hands-on learning and structured workshops.
At the end of the course, you will be able to:
Module 1: What is statistical analysis?
Module 2: Build the common statistics
Module 3: Central Tendency and Dispersion
Module 4: The Data Analysis ToolPak
Module 5: Visualise the results
If you are interested in furthering your knowledge, consider our advanced courses: Statistics for Data Analysis in R and Statistics for Data Analysis in Python. These courses delve deeper into statistical methods and are designed for those who wish to apply these techniques using R or Python.