DataCamp

Data Governance Concepts

Business and Economics

Short Description

Gain an introduction to data governance, exploring its meaning, purpose, and how to implement a data governance framework.

Long Description

This course offers an introductory overview of data governance, focusing on essential foundational elements. Participants will learn what data governance is, why it is crucial, who should be involved, and how to effectively implement a data governance program. The course emphasizes that data governance is not merely a checkbox exercise, but a pivotal approach to enhance the trust, accuracy, and reliability of data. By mitigating risks and generating tangible business value, data governance plays a vital role in organizational success. Participants will also explore various data governance frameworks, including their components and key principles. Additionally, they will gain insights into data management maturity and understand the roles and responsibilities associated with data governance. Determining the appropriate operating model to suit organizational needs will also be covered. Lastly, participants will learn how to implement their own data governance program. This includes developing a strategy and roadmap, as well as selecting a suitable technical solution. This course is suitable for individuals seeking to enhance their understanding of data governance, and no prior experience is required.

Course Details

Duration
2 hours
Format
Short Course
Price
USD39.00
Course Link
More Information
DataCamp
Description
DataCamp is an online learning platform that offers interactive courses and tutorials for data science and analytics. It provides a wide range of courses covering topics such as Python, R, SQL, machine learning, data visualization, and more. The platform offers a hands-on learning experience through coding exercises and projects, allowing users to practice and apply their skills in real-world scenarios. DataCamp also offers a personalized learning experience with adaptive learning technology that adjusts the course content based on the user's skill level and progress. It is widely used by individuals, professionals, and organizations to enhance their data science skills and stay up-to-date with the latest trends and technologies in the field.