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 is this for you?
Have you ever experienced getting analytics results that took a long time to create, but did not meet your expectations? Do you need help in communicating what you need from a Data Scientists or Data Analyst and constructively challenging their results? Learn the basics of data exploration with us to ask the right questions for your business and challenge analytics results.
Who should attend?
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.
What will you 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
Theory and practical use
All trainings in the GAIn portfolio combine high-quality standardized training material with theory sessions from experts and hands-on experience where you directly apply the material to real-life cases. Each training is developed by top of the field practitioners which means they are full of industry examples along with practical challenges and know-how, fueling the interactive discussions during training. We believe this multi-level approach creates the ideal learning environment for participants to thrive.
- Machine Learning
- Explorative analysis techniques
- Challenge analytical results
Open Course Schedule
MIacademy offers part of its portfolio in an Open Course Schedule Format in our location in the center of Amsterdam. Via the form below you can register your interest to participate. Our team will contact you to finalize the booking and answer any questions you may have.
All of our courses are delivered by our expert trainers.
If no dates are mentioned, the specific course is not scheduled yet in 2020. If this is the case you can use the form to register your interest. In case there is enough demand MIacademy can schedule additional courses and will notify you.
Are you interested in training a larger group of people, looking for specific training or would you like to create a company-wide program? We will be happy to assist!
Whether you have a very specific training need (for example: training your Data Engineers on advanced technical topics, or your Data Scientists on model implementation), or the need for a large transformational program, or something in between, we can help. Over the past 13 years, we have built up extensive experience not only in the implementation of multi-year, multi-population, multi-country programs but also in providing high quality, very specific modules for specific target groups. Both in in-house set-ups and cross-company programs. Not sure what type of program would fit your organization best? We’d be happy to discuss the best approach together.