Raoul Harris
  • Introduction
  • Technical books
    • Data engineering with Alteryx
    • Deep learning in Python
    • Generative AI in action
    • Generative deep learning
    • Outlier analysis
    • Understanding deep learning
    • Understanding machine learning: from theory to algorithms (in progress)
    • Review: Deep learning: foundations and concepts
  • Technical courses
    • Advanced SQL Server masterclass for data analytics
    • Building full-stack apps with AI
    • Complete Cursor
    • DataOps methodology
    • DeepLearning.AI short courses
    • Generative AI for software development
      • Introduction to generative AI for software development
      • Team software engineering with AI
      • AI-powered software and system design
    • Generative AI with large language models
    • Generative pre-trained transformers
    • IBM DevOps and software engineering
      • Introduction to agile development and scrum
      • Introduction to cloud computing
      • Introduction to DevOps
    • Machine learning in production
    • Reinforcement learning specialization
      • Fundamentals of reinforcement learning
      • Sample-based learning methods
      • Prediction and control with function approximation
  • Non-technical books
    • Management skills for everyday life (in progress)
  • Non-technical courses
    • Business communication and effective communication specializations
      • Business writing
      • Graphic design
      • Successful presentation
      • Giving helpful feedback (not started)
      • Communicating effectively in groups (not started)
    • Illinois Tech MBA courses
      • Competitive strategy (in progress)
    • Leading people and teams specialization
      • Inspiring and motivating individuals
      • Managing talent
      • Influencing people
      • Leading teams
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  1. Non-technical courses

Leading people and teams specialization

https://www.coursera.org/specializations/leading-teams

I really liked this course, which consisted of four modules plus a capstone assessment. Some of the formatting on the assessments didn't quite work right, and a lot of the topics would be better covered by text than videos, but it gave sensible and to-the-point advice on a wide range of topics.

Main criticisms:

  • A lot of the content was based on research that has already failed to replicate or is likely to do so in future. In a couple of cases, I think outright fraud has been discovered, but in most cases it's just implausible effect sizes from studies with tiny samples.

  • Charts were often poorly labelled or failed to follow best practices.

  • Citations weren't always as detailed as they should be.

Having said that, I would recommend it to anyone, whether in a leadership role or not. It's possible that a book would be a better format for some of this content, but videos have their advantages too.

Some takeaways:

  • Focus on the things that produce the most value

  • People are motivated by seeing the end product of their work — what is the impact on the customer?

  • Carefully consider the level of challenge in goals

    • Challenging goals only work if people accept them

    • Challenging goals can work well for people/teams with a learning orientation, but can hurt those with a performance orientation

  • Specific learning goals (learn how to solve this problem in this way) can reduce creativity, harming both performance and learning

  • Developmental experiences (those with a suitable level of challenge and novelty) are important for development

  • Most learning happens on the job, but you should consider how to structure the job to increase this learning

  • Remember that other people may have different values or goals to you, so it's important to listen to them

  • It can be beneficial to separate evaluation from development feedback so that the former doesn't distract from the latter

  • Keep running notes on performance throughout the year

  • Negative feedback

    • Should be given as soon as possible

    • Should focus on behaviours, not personality

    • Should be followed by positive reinforcement when behaviours improve

    • And often isn't as effective as positive reinforcement in general

  • When recruiting, consider what brand you're projecting; why should people want to work for you?

  • Onboarding is often done poorly and should be prioritized

  • Maintain relationships across functional boundaries

  • Larger teams tend to be more innovative, with performance peaking at around 5-10 people with diverse functional backgrounds

  • The optimal team structure can vary based on things like whether the environment is dynamic or predictable

  • People mostly talk about common information, so try to shift discussions towards unique information

  • While relationship conflict is harmful, task conflict is often beneficial

  • Rather than compromising, consider what other issues can be brought into play to find something that works for everyone

  • Training as a team improves transactive memory (knowing who knows what)

Last updated 8 months ago

Inspiring and motivating individuals

Managing talent

Influencing people

Leading teams

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