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LinkedIn Learning

Data-Driven Decision-Making for Business Professionals

via LinkedIn Learning

Overview

Learn how to use data to draw out powerful conclusions. This course identifies what you need for smart, data-driven decision-making.

Syllabus

Introduction
  • Getting value from data to draw business conclusions
1. You Need Data Now
  • Why data, why now?
  • Data drives decision-making
  • Data context and digital transformation
2. Defining the Problem
  • Identifying the business problem or opportunity
  • How to break down the business problem into data requirements
  • Driving to prescriptive questions
3. Identifying Current Data
  • Identifying data you have
  • Identifying data you need
  • How to identify and use alternative data sources
  • How to ask for help with data analysis work
4. Using Data to Draw Conclusions
  • Identifying conclusions, not causation
  • Important aspects of data conclusions
  • Translating data conclusions for business decisions
5. Visualization of Data
  • The importance of using visuals to share data
  • How to present data conclusions in visual formats
  • Presenting data through the use of storytelling
6. Presenting Recommendations
  • How to present data in response to business requests
  • How to identify data gaps
  • Leveraging data to drive business decisions
Conclusion
  • Data conclusions

Taught by

Jamie Champagne

Reviews

4.6 rating at LinkedIn Learning based on 560 ratings

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