CURV 891 - AI for Data Analysis
Course Description
Artificial intelligence (AI) is a vast field that encompasses various disciplines and requires a diverse skill set. As AI tools permeate the workforce across all industries, being able to demonstrate that you have the ability to use generative AI tools like ChatGPT, Google Bard, or DALL-E 2, effectively and ethically is becoming increasingly important.
In AI for Data Analysis, you will be asked to demonstrate your ability to use publicly-available generative AI tools to perform analysis of a simple dataset to produce work-related insights. This microcredential will guide you through the nuances of AI-assisted data analysis, from understanding ethical considerations to quickly and efficiently uncovering useful information to draw informed conclusions from your organization’s data.
Whether you're looking to enhance your professional skills or stay ahead in the ever-evolving field of AI, this microcredential assesses the skills necessary to excel in the art of AI data analysis.
What to Expect
This Curv microcredential shows that you are proficient in using generative AI effectively and ethically for data analysis. When you sign up, we provide refresher resources and exercises that you can do on your own to practice your skills. Then, you will complete an assessment to demonstrate your competency. Your work will be reviewed by an expert and you will receive a personalized result. If you meet our standard for expertise, you will receive a Toronto Metropolitan University Curv microcredential from The Chang School that proves you can:
- Use a clean dataset provided to construct a series of prompts of a generative AI tool, such as:
- Describe the purpose of the analysis activity
- Introduce and describe the dataset, including any caveats or considerations
- Convert the data into a table format
- Review the results and correct any errors produced, or start again
- Consider ethical parameters and adapt accordingly
- Draw conclusions and formulate recommendations
Meet the Industry Expert
Meet Owais! Owais is a Data & AI subject matter expert who is passionate in helping organizations cross industry adopt & implement analytics solutions leveraging the power of cloud. He has led multiple transformational projects globally and is also closely aligned to academia where he lectures on various Analytics & AI topics.
Who Should Take This Program?
This program is for anyone who works with information. From entry-level to executives, this microcredential is for those who want to validate that they have the ability to perform an analysis of a simple dataset to produce work-related insights, assisted by AI. You may be a business analyst who needs to interpret some data for a colleague. Or maybe you’re a program manager seeking to better understand your project data. Whatever your job, this microcredential validates your ability to use generative AI to support the functions of your everyday professional role.
Frequently Asked Questions
What are the requirements for this microcredential?
You should have foundational knowledge and skills before enrolling. If you can answer ‘yes’ to all of the following statements, then you may be ready to enrol:
- Basic computer literacy (hardware, software, internet, etc.)
- Knowledge and familiarity with at least one generative AI tool (e.g. Chat GPT, Google Bard, Bing Chat, etc.)
- Proficiency with spoken/written English
- Understanding of ethical dimensions and limitations of generative AI
- Foundational knowledge of data analysis
What do I need to do for the assessment?
In the assessment, you will be provided with two scenarios. You will record your screen as you provide a narrated walkthrough of the choices you made for each task outlined, explaining your rationale for decisions made using the generative AI tool. Alternatively, you can include a written response and submit with your screen-capture.
What are the technological requirements for the assessment?
You will need a:
- Stable Internet connection (no minimum connection speed required)
- Computer with an Internet browser (e.g., Edge, Safari, Chrome, Firefox, etc.) Note: Chrome Internet browser is recommended for optimal experience
- Mobile phone* capable of receiving an SMS text message
*Why do I need a mobile phone? To log in to the my.torontomu.ca portal and access the microcredential environment (D2L Brightspace), you will need a mobile device for two-factor authentication.
How much time do I have to complete the assessment after enrolling?
Your microcredential will last two weeks. In the first week, you will have access to the microcredential environment (D2L Brightspace) to explore the supporting materials and practice activities that prepare you for the assessment. The supporting materials are self-paced and can take approximately two to seven hours to complete, depending on your prior knowledge and experience.
In the second week, you will gain access to the assessment. You will be able to open the assessment window at any time within that second week. Depending on the microcredential, the assessment window may be time limited (for example, three hours).
What are my support options?
Upon enrolling, you will have access to refresher resources and exercises. Your expert assessor will be available through the D2L Support Forum for any questions prior to the assessment. If you have any questions or experience any technical issues, you may contact Toronto Metropolitan University’s Computing and Communications Services (CCS) by email or phone.
What happens once I complete the assessment?
A week after you complete the assessment, you will receive your result from an expert assessor.
If you are able to meet the criteria and pass the assessment, you will receive a shareable Toronto Metropolitan University digital credential. This credential can be shared on your LinkedIn profile, personal website, or anywhere you want to display your achievements.
If you are not able to meet the criteria and do not pass the assessment, you can re-enrol and try again when the next offering of this microcredential is available. Be sure to review your feedback and ensure that you have filled any gaps in knowledge or skill before registering for a future offering of this microcredential.