Generative AI is reshaping how data professionals interpret, model and communicate information. This live virtual classroom course explores practical applications of generative AI across analytical activities, including data preparation, synthetic data creation, visual storytelling and trend forecasting. By understanding where AI can add value within existing workflows, you'll be better equipped to streamline analytical tasks and deliver clearer, evidence-based insights in the workplace.
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Generative AI in Data Analytics
Applying AI to modern data analysis
Designed for data analysts, business intelligence professionals and aspiring analytics practitioners, this 4-hour live virtual classroom course examines how generative AI can be integrated into modern analytical practices. You'll explore techniques for working with synthetic data, identifying trends, supporting data quality activities and presenting findings effectively. The course is suitable for professionals looking to broaden their analytical capability and develop practical knowledge of emerging AI technologies.
Learning objectives
- Explain key generative AI concepts
- Apply AI within analytics workflows
- Produce synthetic data outputs
- Improve data exploration activities
- Build effective visualisations
- Recognise patterns and anomalies
- Support data quality initiatives
- Explore forecasting approaches
- Evaluate ethical considerations
- Understand emerging AI capabilities
Key facts
Certification
This is a skills and knowledge-based course with no formal accreditation.
Who it’s for
This course is designed for data analysts, business intelligence professionals, AI enthusiasts and individuals looking to build or broaden careers in data-focused disciplines.
Prerequisites
There are no prerequisites for this course.
Exam information
There is no exam associated with this course.
Optional extras
There are no optional extras currently available for this course.
Pre-course
There is no pre-course work required before attending this course.
FAQs
Generative AI is becoming an increasingly valuable capability within data-focused roles. These FAQs explain how the course introduces practical AI applications, explores opportunities for enhancing analytical activities and examines the considerations associated with adopting AI responsibly.
What is generative AI in data analytics?
Generative AI refers to AI technologies that can create new outputs and support analytical activities using existing data. Within data analytics, these capabilities can assist with tasks such as data preparation, pattern recognition, forecasting and the communication of insights, helping teams work more effectively with large and complex datasets.
Who should attend this course?
This course is aimed at professionals who work with data, including data analysts and business intelligence practitioners, as well as individuals looking to expand their understanding of AI-enabled analytical techniques. It is also suitable for those exploring future career opportunities within data-focused roles.
Do I need previous experience with AI?
No. There are no formal prerequisites for attending this course. The content introduces key concepts before exploring practical applications within data analytics.
What practical skills will I develop?
You'll explore practical techniques for working with synthetic data, preparing and refining datasets, creating visual representations of findings and applying AI-assisted forecasting approaches. The course also examines data quality considerations, ethical challenges and responsible AI adoption.
How can these skills support my role?
Understanding how generative AI can be applied within analytics workflows may help improve efficiency, support more effective decision-making and enhance your ability to generate insights from data across a variety of business contexts.
What our customers say
"Instructor was on point. Would be happy to recommend others to enrol for this course."
Narender Kathait, TSG learner
"Comprehensive and professional course. The facilitator was very knowledgeable and engaging. I learned so much! I'd recommend the course! "
Bobbette O'Dell, TSG learner
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