Data Exploration and Insights Discovery
★★ Practitioner Level
Asking the right analysis question can be difficult and resources are often wasted because the communication between business and data experts is not optimal. In this one-day badge, you will learn how to formulate concrete analysis questions, build a hypothesis tree, and design insights for your business.
Topics
Machine Learning & Statistics
Language
English
Duration
1 day
Time
9:00-17:00
Certification
Yes
Lunch
Included
Recommended
Level
Practitioner
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Data Exploration and Insights Discovery
About the course
Join our one-day crash course on Data Exploration and Insights Discovery and learn how to ask the right questions so you receive the results you need. In this course, you will work with our experts to learn how to design and interact with analytics. We will cover testing hypotheses, designing analyses that correspond to it, and asking follow-up questions to support your story. To complete this training we will discuss key questions you should be asking when you receive analytics results, how you can recognize analysis pitfalls and challenge results presented to you by a data scientist. At the end of this course, you will walk away with vital insights into the discovery process.Why this is for you
This course is perfect for Business Professionals wanting to gain a more structured understanding of data, language, and impact opportunities. Please note, it is important that you have already completed the Structured Opportunity Finding (1201) badge before taking part in this course.For whom
This module is designed for business leaders or anyone looking to get the most out of their data! Does learning best practice methods and streamlining your data management sound like what you need? Then this is the course for you!What you’ll learn
- The analytical process (U-model framework)
- Types of different analysis techniques
- Seven basic explorative techniques
- To match technique visualization to your conclusion
- How to design an analytic storyline for your own business
- One language about the analytical process – Identify business opportunities and define a related hypothesis
- Design analytical storylines – Learn the method to fruitfully design and interact on the desired analytics
- Challenge analytical results – Know which questions to ask about the presented analysis to check on model interpretation