Course Description and Competencies
What to Expect
In this course, you will work through two modules of material. Each module is broken down into smaller units. These units provide an overview of key concepts in professional AI adoption, ethics and governance, tools and prompting, data preparation, insights and visuals, and AI-assisted data analytics.
Throughout the course, you will find readings, practice scenarios, and other activities to help you develop your use of AI in data analytics. These include videos, interactive learning components, and knowledge checks to deepen your understanding of the content. Engaging with these activities will help expand your AI data analytics capabilities, equipping you with the tools to effectively engage with data so that you are able to identify key patterns and communicate findings.
Course Competencies
This course covers the following competencies:
- The student evaluates workplace artificial intelligence practices to support responsible business decisions.
- The student integrates artificial intelligence tools into data analytics workflows.
Assessment
The assessment for this course is a performance assessment. The course materials are here to help you prepare, and you can use them in the way that works best for you. To complete the course, you will need to earn a Competent ranking on the assessment.
You can set yourself up for success by creating a study plan and participating in course activities. These steps can help you build confidence and see where you may want to focus before attempting your assessment. You are encouraged to attempt the assessment as early as you feel ready so you have time to learn from the experience and try again if needed.
If you do not pass the assessment the first time, donβt worryβyou have two attempts before additional support is necessary. If you need another attempt or want help preparing a study strategy, your Student Experience Team are here to support you every step of the way.