Training and Coaching For data practitioners

We provide an overview of general data quality concepts and present best practices for ensuring the quality of data used for analytical development efforts. Intended for technical practitioners in statistics, data science, machine learning, and advanced analytics, we cover practices you can put to use immediately.

Current and aspiring technical professionals in data, including analytics, statistics, data science, business intelligence, data engineering, machine learning, and artificial intelligence, among others.

You will learn:

• The basic framework for data quality, rooted in global data management standards.
• What data quality means for analytics practitioners and how that differs from analytical design.
• The various sources of data defects in an analytics project.
• A methodology for effective audit and understanding of data collected/extracted, to reduce project delays caused by data quality issues.

The course contains approximately 1.5 hours of video + materials. It is self-paced, so you can take it as fast or slow as you want and need. Live consultation/Q&A session is available as an option. Please contact us.

While the participants are expected to have basic proficiency in scripting/programming for conceptual reasons, no specific scripting language is assumed.

Yes! You will receive a certificate after successfully completing the course requirements, including the end-of-the-course assessment.

Contact us for special student pricing.

Contact us for special SWB pricing.

Looking to use parts or all of the materials for a course you teach, with or without minor modifications?  Contact us for a special arrangement.

Having the trust of others leads to greater recognition and greater professional success. We present a paradigm of effectiveness for data professionals, addressing client and project management, trust building, risk and issue management, and communication, to establish a solid basis for working effectively with clients and colleagues. 

Current and aspiring technical professionals in data, including analytics, statistics, data science, business intelligence, data engineering, machine learning, artificial intelligence, data management and administration, and information technology, among others. 

You will:

• Understand the importance and the implications of considering your clients, colleagues, collaborators, and yourself as individual humans who happen to exist in a professional context.
• Learn how to guide your thinking in determining how you can be effective for a wide variety of professional interpersonal situations.
• Gain awareness and understanding of the reasons and motivations for how to engage effectively with clients, colleagues, and collaborators, and the foundational ideas behind why they work.
• Learn to translate these learnings to approaches and activities in client management, project management, task planning and management, issue resolution, and communication. 

The course consists of approximately 3.5 hours of video + materials. The course is online and available on demand, so go as fast or slow as you want and need. There are no prerequisites.

Yes! You will receive a certificate after successfully completing the course requirements, including the end-of-the-course assessment.

Contact us for special student pricing.

Contact us for special SWB pricing.

Looking to use parts or all of the materials for a course you teach, with or without minor modifications?  Contact us for a special arrangement.