Excel: Statistical Analysis and Data Transformation

Excel: Statistical Analysis and Data Transformation

This course is part of Data Analysis and Visualization with Microsoft Excel Specialization

Instructor: Bill Rosenthal

Access provided by Vanderbilt University

3 modules

Gain insight into a topic and learn the fundamentals.

3 hours to complete

Flexible schedule

Learn at your own pace

3 modules

Gain insight into a topic and learn the fundamentals.

3 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

Project meaningful statistical trends across datasets using automated sparklines, moving averages, and varied trendline models.
Automate data connections from external sources into a centralized data model utilizing background query pipelines.
Clean, shape, and transform unformatted information blocks by splitting columns, merging attributes, and extracting text properties.
Data files for this course are provided in the first course of this specialization, "Excel: Data Analysis and Visualization Fundamentals".

Skills you'll gain

Tools you'll learn

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

1 assignment

Taught in English

See how employees at top companies are mastering in-demand skills

Learn more about Coursera for Business

logos of Petrobras, TATA, Danone, Capgemini, P&G and L'Oreal

Build your subject-matter expertise

This course is part of the Data Analysis and Visualization with Microsoft Excel Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate

There are 3 modules in this course

In this course, you'll continue to develop your data-analysis skills in Excel by performing statistical analysis with trendlines, sparklines, and using the Analysis ToolPak. You'll also connect to data and transform that data to ensure it is clean and in the optimal state.

While Microsoft® Excel® gives you many tools for analyzing data, sometimes there's so much data it's not efficient to work with. In those cases, you need a methodology for taking samples that represent the larger data picture, and working with them to find the insights you're looking for.

What's included

1 reading4 plugins

The more complex your data analysis becomes, the more you will need to focus on well-defined segments of data. To do that, you need to refine the data from the moment you bring it into Microsoft® Excel®. Excel provides rich features that enable you to select just the data you want, and bring it into Excel in the format you need. Learning the concepts behind getting and transforming data in this way will take your data analysis skills to the next level.