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Becoming a Data Analyst (Whether That Word Is in Your Title or Not)

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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.


01 - Introduction
  • 01 - Data analyst is what youll be expected to be

  • 02 - 1. The Evolution of the Analyst
  • 01 - Moments of truth Traditional business approaches
  • 02 - Data, data everywhere
  • 03 - Data, privacy, security Oh my!

  • 03 - 2. The Analysts Functional Skills
  • 01 - The analysts three interlocked roles
  • 02 - The data strategist
  • 03 - The data technologist or techie skillset
  • 04 - The data designer
  • 05 - Bringing the three roles together

  • 04 - 3. The Analysts Mindset
  • 01 - Art plus science
  • 02 - The need for curiosity
  • 03 - The need for resilience
  • 04 - The need for swagger

  • 05 - 4. The Analysts Ways of Working
  • 01 - Best practices for a successful analytics teams
  • 02 - Respecting the impact of your role
  • 03 - You are not an order taker

  • 06 - Conclusion
  • 01 - Additional resources
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    تاریخ انتشار: 7 فروردین 1403
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