LEARNING DATA ANALYTICS 

Every person who works with data has to perform analytics at some point. This popular training course—dramatically expanded and enhanced for 2018—teaches analysts and non-analysts alike the basics of data analytics and reporting. Coverage includes best practices for data analytics projects, such as verifying data and conducting effective meetings, and common mistakes to avoid and learn techniques for repurposing, charting, and pivoting data. Plus, get helpful productivity-enhancing shortcuts and troubleshooting tips for the most popular data analytics program, Microsoft Excel.

Course Objectives:

1.  Defines data analysis and data analyst;

2. Lists roles in data analysis;

3. Explains data fields and types;

4. Defines syntax;

5. Explains how to interpret existing data;  

Target Competency:  Data Management and Analytic

Target Competency Levels: Basic and Intermediate

Proposed Attendees:  

1. Computer Systems Division

2. Information Systems Division  

• You may refer to the targeted participants through this link: 

https://drive.google.com/file/d/1Sa2t_QrQnQqow7Hzz6vcKl7r_vk6x_LB/view?usp=sharing

Registration Fee:  SPONSORED 

Mode of Delivery: Asynchronous Webinar 

Platform: Online Meeting

Service Provider:  DICT Workplace Learning & Development Platform 

Status: OPEN FOR REGISTRATION