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Data Analyst Mindset: 10 Nontechnical Ways to Influence Decisions

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Mico Yuk

36:44

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  • 01 - Put away your data and listen carefully.mp4
    00:43
  • 01 - Know your role The guide.mp4
    04:05
  • 02 - Be intelligent Ask the right questions.mp4
    03:03
  • 03 - Build trust Listen more than you speak.mp4
    03:18
  • 04 - Trigger congruency The Three Nods Rule.mp4
    03:01
  • 05 - Show dont tell Use storyboards.mp4
    03:22
  • 06 - Be memorable Use visual action words.mp4
    04:37
  • 07 - Focus on change, nothing else really matters.mp4
    03:09
  • 08 - Never say no, or yes for that matter.mp4
    03:39
  • 09 - Be tool agnostic.mp4
    04:07
  • 10 - Avoiding common issues.mp4
    02:49
  • 01 - Continue your data analyst learning journey.mp4
    00:51
  • Description


    Becoming a data analyst has never been easier: take a Python class and boom, you're good to go, right? Not so fast. Analytics on Fire podcast host and keynote speaker Mico Yuk has interviewed multiple heads of data, and their top request is for data analysts whose soft skills match or exceed their technical skills. In this course, Mico teaches you 10 fundamental nontechnical skills that you need to master, to set yourself apart from the data crowd. Find out how to enhance your analysis and influence decisions. Learn how to ask the right questions, advance to using visual action words, and understand what types of insights you should focus on to add value. As you understand your role, apply proven techniques, and go in with a plan, you’ll be ahead of the curve every time.

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    LinkedIn Learning is an American online learning provider. It provides video courses taught by industry experts in software, creative, and business skills. It is a subsidiary of LinkedIn. All the courses on LinkedIn fall into four categories: Business, Creative, Technology and Certifications. It was founded in 1995 by Lynda Weinman as Lynda.com before being acquired by LinkedIn in 2015. Microsoft acquired LinkedIn in December 2016.
    • language english
    • Training sessions 12
    • duration 36:44
    • English subtitles has
    • Release Date 2023/10/15