Statistics and Data Analysis in Excel

If you’re considering a career as a data analyst, you need to know about many aspects of statistics including histograms, pareto charts, boxplots, Bayes’ theorem, and much more.

On this five-week course, you’ll delve into applied statistics and learn how to use the powerful tools built into Excel to explore the core principles of statistics.

Learning from the specialists at CloudSwyft, a leading Learning-as-a-Service platform provider, you’ll develop essential data science skills to improve your knowledge and confidence in the field.

On the course, you’ll develop an understanding of the concepts of descriptive statistics and basic probability before learning how to apply them.

For this process, you’ll learn how to use the calculation and visualisation environment of Excel.

To develop your statistical skills further, you’ll learn about the fundamentals of random variables, sampling, confidence intervals, and hypothesis testing – all key concepts in data analysis.

As you increase your knowledge on statistical concepts, you’ll learn how to apply it all in Excel.

This practical exercise will help you see the power of Excel in action and will give you the ability to calculate and visualise these essential statistical concepts in flexible ways.

With this understanding, you’ll be able to quickly explore data and produce valuable insights from the data set.

By the end of the course, you’ll have developed critical data analyst skills and have the confidence and knowledge to use Excel to its full potential.

• Descriptive Statistics
• Basic Probability
• Random Variables
• Sampling and Confidence Intervals
• Hypothesis Testing