Certified Data Management Professional (CDMP) Essentials

Colleagues, become a “Certified Data Management Professional (CDMP)” and advance your career and earning potential. In this industry-recognized credential from the Data Management Association-International (DAMA-I) you will gain a comprehensive understanding of the significance of data management in today's world, exploring how effective data management can drive organizational success and improve decision-making processes, learn about Data Governance and Stewardship, delve into the dimensions of data quality and learn techniques for assessing data quality, conducting data cleansing, and implementing data validation methods, acquire the fundamentals of data modeling, including entity-relationship (ER) modeling concepts, learn about data integration strategies, including the extract, transform, load (ETL) process, gain an understanding of MDM concepts, master data governance, and best practices for implementing MDM initiatives, and receive dedicated preparation for the CDMP certification exam, including an overview of the exam structure and content. [32 lectures • 2h 6m total length]. Skill-based training modules include: 1) Introduction to Data Management, 2) Data Governance and Stewardship, 3) Data Quality Management, 4) Data Modeling and Database Design, 5) Data Integration and ETL Processes, 6) Master Data Management (MDM), 7) Data Privacy and Security, 8) Data Analytics and Reporting, 9) Data Management Strategy and Planning, and 10) CDMP Exam Preparation. 

Enroll today (teams & executives are welcome): https://tinyurl.com/rz6yzuf3

Download your free Data Science  - Career Transformation Guide.

Explore our Data-Driven Organizations Audible and Kindle book series on Amazon:

1 - Data-Driven Decision-Making  (Audible) (Kindle)

2 - Implementing Data Science Methodology: From Data Wrangling to Data Viz (Audible) (Kindle)

3 - The Upskill Gambit - Discover the 5 Keys to Your Career and Income Security in the Digital Age (Audible) (Kindle) 

Much career success, Lawrence E. Wilson - Data Science Academy (share with your team)