Becoming a Data Analyst (Whether That Word Is in Your Title or Not)
59mIntermediate2024-01-02
Authors

Kevin Hartman
Course details
Data analytics—the science of applying data analysis to solve problems—affects every aspect of business. Moreover, the stakes have never been higher for analysts as the opportunities for data analysis have reached unprecedented levels. Yet the growing complexity of data tools and technology have left many wondering where to start. This course with Kevin Hartman establishes basic yet often ignored skills every successful analyst needs. Kevin covers three interdependent functional areas where analysts must build strength: data strategist, data technologist, and data designer. He examines how these three roles have been staffed over time and how the analyst’s role has undergone an evolution resulting in the need for people who can blend all three roles. He explains each role, its purpose, and examines tools and techniques that enable its function. He also explores the mindset of the successful analyst: one characterized by curiosity, optimism, and a healthy dose of boldness.
Skills covered
Tech Career SkillsData AnalysisCybersecurityCloud ComputingData ScienceBusiness Analysis and StrategyBusiness Software and ToolsSoftware DevelopmentOne-Off
Concepts
Introduction
- Data analyst is what you'll be expected to be
The Evolution of the Analyst
- Moments of truth - Traditional business approaches
- Data, data everywhere
- Data, privacy, security Oh my
The Analyst's Functional Skills
- The analyst's three interlocked roles
- The data strategist
- The data technologist or techie skillset
- The data designer
- Bringing the three roles together
The Analyst's Mindset
- Art plus science
- The need for curiosity
- The need for resilience
- The need for swagger
The Analyst's Ways of Working
- Best practices for a successful analytics teams
- Respecting the impact of your role
- You are not an order taker
Conclusion
- Additional resources