ANNOUNCEMENT:
AU/AFIT is moving to a new SIS (Student Information System); the start has been delayed until 1 Dec 2021. As a result, ACQ Now will no longer be the vehicle for registering for AFIT/LS courses after 1 Jan 2022. ACQ Now will continue to record the completion of any AFIT/LS courses taken at AU/AFIT for continuous learning point tracking. As we transition to the new SIS please follow the guidance below:
Please address any questions regarding AFIT/LS registrations to the AFIT TAT by calling: (937) 255-7777, EXT 3164 or emailing: LSACOURSEMANAGER@afit.edu
updated September 28, 2021 2:49:12 PM EDT
Take the next step in your Data Analytics journey, applying the tools you mastered in Data Analytics Tools and Techniques. This workshop will build on what you have already learned to solve a real world problem you may be facing in your organization today. In an immersive five day workshop, you will work in dynamic teams using industry tools and statistical methods to uncover keen insights about an assigned case while further adding to your Data Analytics toolkit. You will learn how to diagnose a problem using data analytics while producing a solution, predicting the outcome and finally visually communicating your solution with confidence. Tools used in this workshop are: Microsoft Excel, Access, Structured Query Language SQL, Tableau, R and R-Studio. Graduates of this workshop will be prepared to lead data analytics projects within their organizations, helping foster a more data-driven culture.
Grade Restrictions: None
Special Requirements: None
Location |
Offering # |
Start Date |
End Date |
|---|---|---|---|
| Live Internet | 22B | 03 Dec 2021 | 17 Dec 2021 |
| Live Internet | 22C | 21 Jan 2022 | 04 Feb 2022 |
| Live Internet | 22D | 18 Mar 2022 | 01 Apr 2022 |
Delivery Method: Instructor Led, Live Internet Course
Course Length:
Event Type: Training (Functional, Technical)Primary Audience: GS-9 to GS-15 and Military Equivalents. NCO’s welcome on a space available basis.
CL Points: 40
Prerequisites:None: However, WKSP 0672 Data Analytics Tools and Techniques Online Workshop, is highly recommended if you do not have a strong working knowledge of MS Excel and MS Access.
