Plan your CompTIA Career Path with Dr. James Stanger

Details

WebEx
https://governmentacquisitionsinc.my.webex.com/governmentacquisitionsinc.my/j.php?MTID=mdf9bd4138c8f502216e802eaf52e8a0d

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Audience
Existing and potential students interested in learning more about career opportunities, either inside of IT (e.g., the CompTIA IT career pathway) or outside of IT (e.g., who wish to become data analysts).

Description
For decades, now, we have seen data analytics become a core skill for IT and security professionals. Almost thirty years ago, database and web analytics became hot job roles. Over the last ten years, security analysts have applied data principles to address security, privacy, and governance concerns. The trend continues: Data analytics is not just a niche skill; it has become a mainstream skill for the security workforce. More job roles are required to create context, better communicate vital business intelligence, and implement essential security architectures.

IT workers are now expected to move from being data janitors to data curators. Join CompTIA’s Dr. James Stanger as he discusses how you can get ahead of the data curve to learn more about how data skills are relevant to IT workers, as well as those interested in data-oriented roles outside of traditional IT. In this meetup, James will discuss unique and important data skills you need to learn. More importantly, he’ll show you how you, with a little effort, can learn these essential skills.

Outline

Where data fits in to:
• Today’s workforce
• Today’s companies
• Your career
The pillars of IT and data
Data job roles (Inside and outside of IT)
• Data analyst, Web analyst, security analyst
• Quality assurance
• Management
Data and your career
• Inside of IT
• Data outside of IT
• Move from being data custodians to data curators
Unique skills and case studies
• Making Pringles safe for the masses
• Help desk and data tickets: Improving Customer Experience (CX)
• The security analyst and the cyber kill chain: A few lessons learned
Essential skills
• Going beyond “know your people skills”
• Mature data: Contextualization, manipulation, and visualization
Q & A