- Course
Certified Analytics Professional: Analytics Problem Framing
This course will help analytics professionals who are seeking to sharpen their business oriented skill set by outlining principles to efficiently frame and solve analytical problems.
Intermediate
- Course
Certified Analytics Professional: Analytics Problem Framing
This course will help analytics professionals who are seeking to sharpen their business oriented skill set by outlining principles to efficiently frame and solve analytical problems.
Intermediate
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This course is included in the libraries shown below:
- Data
What you'll learn
Being able to identify and gain skills to see large-scale outcomes from simple projects can ensure long-term success.
In this course, Certified Analytics Professional: Analytics Problem Framing, you’ll gain the ability to effectively identify and frame business problems in ways that can be solved through analytics. First, you’ll explore transitioning business problems into an analytical context. Next, you’ll discover methods and outlines to track drivers, data and key metrics for success. Finally, you’ll learn how to propose analytical frameworks to project stakeholders in effective ways.
When you’re finished with this course, you’ll have the skills and knowledge of Analytics Problem Framing needed to address any business problem using analytical tools and project frameworks.
Certified Analytics Professional: Analytics Problem Framing
Intermediate
Table of contents
Brayden Ross is a Data Professional with years of experience promoting and teaching the skills and value behind data science and analytics. Since 2018 Brayden has helped create and direct analytics program curriculum at higher education institutions, published articles and given keynotes shared internationally among universities and data professionals, and driven key organizational changes using cutting edge analytics tools and big data at large-scale companies. His insights and analytics work have influenced the use of big data at over 50 colleges nationwide and were key in aiding institutions shifting to online workspaces during the COVID-19 pandemic. Brayden is professionally experienced in a large tech stack, ranging from cloud computing and virtual machines to graphic design and UI/UX. His focuses include programming in R, machine learning, data science, cloud computing and data visualization.