As a consultant and Certified Data Management Professional, I offer a proven track record of applying Data Science and related disciplines to solve clients’ most pressing challenges. My approach to Data Strategy is gathered from my work experience across Commercial and Federal projects as well as study of the Data Management Body of Knowledge (DMBOK). Useful as a reference book, the DMBOK really shines as opportunity to showcase a sticky note collection. Here are more of my favorite resources for Data Strategy.
| A Facebook group for sharing resources on data science and machine learning. Each month, we cover a different topic related to breaking into Data Science. | A Facebook group to help people prepare for the open book Certified Data Management Professional exam. Each month, we cover a different chapter of the DMBOK. | A LinkedIn group for thoughtful conversations about Data Strategy. |
In Breaking into Data Science, aspiring Data Scientists can share their journey into the field. Topics covered in 2021 include statistics, Python, pandas, sklearn, SQL, Data Strategy, Data Ethics, Machine Learning, Deep Learning, Sample Projects, and Data Science jobs. For an email bootcamp that covers the year’s worth of content in twelve weeks, click here. (To check out more information about the bootcamp, including sample emails and customer reviews, click here.)
Did you know the best credential for Data Scientists is an open book exam? The Certified Data Management Professional exam is wonderfully practical in its approach to testing Data Management fundamentals. In the CDMP Study Group, we cover a different chapter of the Data Management Body of Knowledge. For a 90-day study plan that will help you effortlessly ace the exam, click here. (To check out more information about the study plan, including sample emails and customer reviews, click here.)
The size of our digital universe has grown 30x in the past decade. Data Strategy Professionals is the place for thoughtful conversations about how to tackle new challenges and opportunities presented by the ever-increasing wealth of data. In this LinkedIn group, we trade career advice, resources for data ethics, and thoughts on what to measure and why.