Introduction to Data Science for Managers


Introduction to Data Science for Managers

Training description

This interactive training aims at introducing Data Science concepts to non-technical, manager level audience. Participants will gain deep understanding of what Data Science is and how the company and their teams can benefit. They will also learn about the potential pitfalls and learn how to avoid them. Unified descriptions of key Data Science terms will be provided and clearly explained.

Duration: 4h30m (including 30m break)

Requirements: Open mind and motivation to learn

Training agenda

  • What is Data Science, Machine Learning, Deep Learning and Artificial Intelligence (AI)
  • What Data Science can and what it can’t do for you
  • Case studies of companies achieving great success through investing in Data Science
  • Leading a Data Science team – challenges
  • How Data Science projects differ from software development ones
  • Data – the key to any successful project:
    • Why gathering data is important
    • Why quality matters
    • Data Warehouse vs. Data Lake (and how not to turn it into a Data Swam)
  • Understanding different types of Data Science problems (forecasting, clustering, ranking, optimization)
  • Understanding core concepts:
    • What is a model
    • Supervised vs. unsupervised learning
    • Simple models – regression
    • Classification – how it works
    • Neural Networks
    • Understanding the differences between black and white box models

Contact us about closed training

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