As technology progresses and becomes more interwoven with our businesses and lives, more data is collected about business and personal activities. This era of “big data” has exploded due to the rise of cloud computing, which provides an abundance of computational power and storage, allowing organizations of all sorts to capture and store data. Leveraging that data effectively can provide timely insights and a competitive advantage.
| Start Date | End Date | CLASS TIMES (EST) | DELIVERY/LOCATION | Status | Price | Enroll Now |
|---|---|---|---|---|---|---|
| 4/13/2026 | 4/14/2026 |
9:00AM - 5:00PM
|
GTR Guaranteed-to-Run |
$760 | ||
| 5/7/2026 | 5/8/2026 |
9:00AM - 5:00PM
|
GTR Guaranteed-to-Run |
$760 | ||
| 6/1/2026 | 6/2/2026 |
9:00AM - 5:00PM
|
GTR Guaranteed-to-Run |
$760 |
GTR Guaranteed-to-Run
GTR Guaranteed-to-Run
GTR Guaranteed-to-Run
Course Highlights
As technology progresses and becomes more interwoven with our businesses and lives, more data is collected about business and personal activities. This era of “big data” has exploded due to the rise of cloud computing, which provides an abundance of computational power and storage, allowing organizations of all sorts to capture and store data. Leveraging that data effectively can provide timely insights and a competitive advantage.
This course is designed for professionals in a variety of job roles who are currently using desktop or web-based data-management tools such as Microsoft Excel or SQL Server reporting server to perform numerical or general data analysis. They are responsible for conducting data analysis and providing reports about their analysis, and are looking for alternative ways to analyze business data, visualize insights, and share those insights with peers across the enterprise. This includes capturing and reporting on data to peers, executives, and clients.
Excel — Part 1 & Part 2, Data Analysis with Power Pivot or equivalent experience
This course builds skills and demonstrates qualifications for the job roles and average base salaries below.Â
