Microsoft Excel

This course is meant to be a direct continuation of "Statistics and Data Analysis with Excel, Part 1." Therefore, it is not recommended to take Part 2 unless you've also taken Part 1. Building on the topics learned in Part 1 of the course (probability, probability mass and density [...]

Excel is the most widely used analysis tool in the world and a great starting point for diving into data analysis. In this course, you’ll apply Excel’s native tools to structure your data into spreadsheets and tables. You’ll then analyze and produce insights from that data using pivot tables. [...]

This course is designed to cater to a diverse audience, particularly those with an interest in working in dynamic environments that place a strong emphasis on data-driven, quantitative analysis. Whether you are an experienced professional seeking to enhance your skills or someone looking to pivot into a cutting-edge industry, [...]

This course forms part of the Microsoft Power BI Analyst Professional Certificate. This Professional Certificate consists of a series of courses that offers a good starting point for a career in data analysis using Microsoft Power BI. In this course, you’ll learn how to make use of Excel in [...]

Spreadsheet applications are an essential part of productivity at work and school. Understanding how to use spreadsheet apps such as Microsoft Excel can make you a more efficient and valuable worker. In this mini-course, you will learn the essentials of working with spreadsheet apps. You will learn how to [...]

A leader in a data driven world requires the knowledge of both data-related (statistical) methods and of appropriate models to use that data. This Business Analytics class focuses on the latter: it introduces students to analytical frameworks used for decision making though Excel modeling. These include Linear and Integer [...]

This course explores different time series business forecasting methods. The course covers a variety of business forecasting methods for different types of components present in time series data — level, trending, and seasonal. We will learn about the theoretical methods and apply these methods to business data using Microsoft [...]