Class Details

Price: $1,990

Course Includes:

  • Class exercises in addition to training instruction
  • Courseware books, notepads, pens, highlighters and other materials
  • Full breakfast with variety of bagels, fruits, yogurt, doughnuts and juice
  • Tea, coffee, and soda available all day
  • Freshly baked cookies every afternoon - * only at participating locations

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.

Course Outline

Module 1: Categorizing Observations

  • Lesson 1: Identify patterns in your data
  • Lesson 2: what is the best way to segment your data?
  • Lesson 3: How to target and select stakeholders, customers, and products

Module 2: Relationship Learning

  • Lesson 1: Analyze interactions between people, places and events
  • Lesson 2: Determining how messages, ideas and diseases spread
  • Lesson 3: Measure the likelihood of an event taking place

Module 3: Datafication

  • Lesson 1: How do you quantify non-numeric information to learn new insights?
  • Lesson 2: How can you analyze text for sentiment and meaning?
  • Lesson 3: How to mine social media to understand the context of what is happenig

Module 4: Prediction

  • Lesson 1: How can you predict demand and forecast trends?
  • Lesson 2: How can you utilize multiple factors to build an accurate model?
  • Lesson 3: How can you adjust a forecast over time to anticipate cyclical and seasonal trends?

Module 5: Outlier Detection

  • Lesson 1: How do you identify unusual data points?
  • Lesson 2: How can you identify fraud, anomalies, and aberrations?




At the conclusion of this course, participants will be able to do the folowing:

  • Oversee data science projects
  • Understand how data mining algorithms work so they can better direct their teams
  • Improve communication between domain experts and technical talent
  • Need to maximize the impact of their data through new insights