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Class Details

Data Science for Leaders: Building a Data Driven Strategy Price: $1,990

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This 2-day instructor-led training experience teaches leaders and executives how to identify opportunities to make better decisions by utilizing new insights from data: which tools, techniques and approaches can and should be used for data science projects: how to avoid pitfalls when drawing conclusions from data; and how to create a strategy for building a data science team and capability to improve decision making across the organization.

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Data Science for Leaders: Building a Data Driven Strategy Course Includes:

  • 2 days of instructor-led training
  • Class exercises in addition to training instruction
  • Courseware books, notepads, pens, highlighters and other materials
  • Course retake option
  • A second voucher included with full purchase 
  • Full breakfast with variety of bagels, fruits, yogurt, doughnuts and juice
  • Tea, coffee, and soda available throughout the day
  • Freshly baked cookies every afternoon - *only at participating locations

Course Outline

Data Science User Cases & Frameworks

  • What is data science and how is it related to Big Data?
  • Data Science Use Cases and Success Stories
  • Which frameworks can you use to organize the workflow of a data science project and direct your team?
  • Which approaches can you use to find insights using data?

Data Science Tools and Technologies -- Reference Architecture

  • Which steps are required in the data pipeline from ingestion to analysis?
  • Which technologies are available for working with data at various stages of the data pipeline?
  • How do different tools and technologies for working with data compare in their functionality, strengths and weaknesses?

Building and Managing a Data Science Team

  • Which skills does you data science team need for a robust capability?
  • What to look for when hiring data scientists and what to avoid
  • How to structure your data science team for maximum input
  • Should you buy or build a data science capability and how much can it cost?

Data Science Challenges -- Getting it Right

  • What are the pitfalls of analyzing data? How can you avoid statistical fallacies?
  • Which assumptions do you need to be aware of when prosecuting data science projects?
  • How to best visualize data and how to avoid optical illusions and other traps

Objectives

Data Science for Leaders: Building a Data Driven Strategy Course Objectives:

  • Choose the correct tools, techniques and approaches for data science projects
  • Avoid pitfalls when drawing conclusions from data
  • Create a strategy for building a data science team