The Data Primer training course is designed to establish a baseline knowledge of the strengths, weaknesses, opportunities and risks surrounding data-based solutions. In this course, participants will get an overview on data handling practices and some of the introductory technologies that support data initiatives.
The course begins with participants being introduced to common terminology and their definitions as well as the most common issues to be faced when leveraging big data-oriented systems. Next, the course covers the essential data flows and common technologies to illustrate how this is accomplished. The course concludes with participants presenting findings with reports and dynamic visualizations.
Purpose
| Learn about the strengths, weaknesses, opportunities and risks surrounding data-based solutions |
Audience
| Software engineers who want to gain valuable insight as well as hands-on skills across an extensive landscape of data tools, techniques, and capabilities |
Role
| Data Engineer | Data Scientist |
Skill Level
| Introduction |
Style
| Lecture | Hands-on Activities | Labs |
Duration
| 2 Days |
Related Technologies
| Databases | Big Data | Cloud | Data Visualization |
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Learning Objectives
- Analyze data challenges: prescriptive, predictive, diagnostic, descriptive
- Craft data processing and analysis frameworks
- Verify that data are clean and hygienic.
- Cluster and scale solutions to adapt to large problem sets
- Present findings through reports and dynamic visualizations
