Strategies and Concepts for Data Scientists and Business Analysts

To be effective in a competitive business environment, analytics professionals need to use descriptive, predictive, and prescriptive analytics to translate information into decisions. An effective analyst also should be able to identify the analytical tools and data structures to anticipate market trends.

In this course, you will gain the skills that data scientists and statistical business analysts must have to succeed in today's data-driven economy. Learn about visualizing big data, how predictive modeling can help you find hidden nuggets, the importance of experiments in business, and the kind of value you can gain from unstructured data.

    No classes are currenty scheduled for this course.

    Call (919) 283-1653 to get a class scheduled online or in your area!

1. Overview

  • Defining terms
  • Concepts of data science
  • Exploring and visualizing data

2. Segmentation

  • Pitfalls and good practices
  • Interpreting clusters

3. Predictive Modeling

  • Fundamentals
  • Decision trees
  • Random forests
  • Model comparison

4. Design of Experiments

  • Why experiment?
  • Types of business experiments

5. Unstructured Data

  • Text analytics
  • Social networks

6. Communicating Your Results

  • Knowing your audience
  • Creating effective messages
  • Demonstrating value

Exercises or hands-on workshops are included with most SAS courses.

Statisticians, market researchers, information technology professionals, data scientists, and business analysts who want to make better use of their data

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