Last week I posted about data literacy and why it is important.
This week, I would like to propose a training program for every knowledge worker to improve their data literacy – highlighting 5 courses from our CIMP and CDS curricula that could be of real value to very knowledge worker:
Information Management Fundamentals
Information Management (IM) is a broad and diverse field that encompasses fourteen distinct disciplines. The abundance of disciplines and the dependencies among them make IM a complex field but one that is rich with opportunities. To understand the full scope of information management you need to know something about topics that range from data modeling to predictive analytics. For those who are just starting and IM career the scope and complexity can be somewhat daunting. Even seasoned IM professionals don’t typically have knowledge of and experience in all of the disciplines.
This online training course provides a high-level view across the entire scope of information management: What are the disciplines and how do they fit together?
Data Governance Fundamentals
Data governance is an emerging, cross-functional management program that treats data as an enterprise asset. It includes the collection of policies, standards, processes, people, and technology essential to managing critical data to a set of goals. Data governance also includes the oversight necessary to ensure compliance and to manage risk. A data governance program can be tailored to match an organization’s culture, information maturity, priorities, and sponsorship.
This online training course provides and overview of the disciplines of governing data, covers the essential components of an enterprise-wide program, and outlines a roadmap to execute a successful data governance program. In addition to the extensive overview, the course makes data governance real and tangible by illustrating the concepts, principles, and practices using a case study of Data Governance in a Customer Intelligence initiative. The course also examines the changes in data governance that are needed to adapt to developments such as agile development, big data, and self-service analytics.
This 6-hour online course provides a foundation to understand the scope and the key success factors of analytics. Concepts and terminology are introduced, and scope of analytics is discussed to set context and provide a frame of reference for topics that follow. Business analytics is described and made tangible through a variety of industry use cases and functional examples. Data analytics is presented as the set of information building blocks to enable the business analytics applications. Breadth of analytics possibilities is described using a capabilities framework to position a wide range of algorithms and modeling techniques.
Data Quality for Data Stewards
Since data quality is one of the core responsibilities of data stewards, each steward needs a foundation of concepts, principles, terminology, and methodology of data quality management. This online training course provides an overview of the field of data quality with the goal of building strong fundamental knowledge for data stewards. It covers topics ranging from data quality definitions and dimensions to key data quality management practices and methodologies as well as core data quality processes and projects.
Metadata Management for Data Stewards
You can’t manage information effectively without understanding the data meaning, constraints and relationships. Metadata management and data modeling disciplines provide the essential tools to collect, record, and organize such knowledge. Understanding these disciplines is essential to the success of data stewards. This online training course is designed to provide foundation knowledge about the most commonly used metadata management, data modeling, and data profiling techniques.
All courses (and exams) are available on demand, via elearning, and contribute towards a Certified Information Management Professional or Certified Data Steward accreditation. Call us for pricing on +27114854856