Do you want to help someone improve their visualization skills?
Or do you want to train others on any other statistics skills?

Training is a very important topic for us statisticians. We train people all the time. It can be about statistics or non-statistics.

Today, I’ll be sharing some of my insights, tips, and tricks on how to do that in an effective way.
  1. Set expectations
    • What do they think they will get in the training?
    • What are their goals?
  2. Start with a case story
    • Show the value of visualization
  3. Speak about the difference between explanatory and exploratory data visualization
    • Where do they mostly work with?
    • Create a connection with the audience

4. Speak through an example

  • Ask them to sketch the data by using pen and paper
  • Create an emotional trigger
  • Repetition improves quality
  • Provide self-evaluation
  • Supportive Feedback
  • Eliminating clutter

5. Review the learnings

  • Reflecting on what they have learned

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    I want to help the community of statisticians, data scientists, programmers and other quantitative scientists to be more influential, innovative, and effective. I believe that as a community we can help our research, our regulatory and payer systems, and ultimately physicians and patients take better decisions based on better evidence.

    I work to achieve a future in which everyone can access the right evidence in the right format at the right time to make sound decisions.

    When my kids are sick, I want to have good evidence to discuss with the physician about the different therapy choices.

    When my mother is sick, I want her to understand the evidence and being able to understand it.

    When I get sick, I want to find evidence that I can trust and that helps me to have meaningful discussions with my healthcare professionals.

    I want to live in a world, where the media reports correctly about medical evidence and in which society distinguishes between fake evidence and real evidence.

    Let’s work together to achieve this.