Generative AI Skills for Data Analysts
Get a headstart in you Data Analyst career using Generative AI. Apply GenAI as a crucial tool to extract, prepare, augment, query, analyze & visualize data.
Language
- English
Topic
- Artificial Intelligence
Industries
- Social Sciences
Skills You Will Learn
- Generative AI, Artificial Intelligence, Dashboards, Data Visualization, Data Preparation, Data Analysis
Offered By
- IBMSkillsNetwork
Estimated Effort
- 13 hours
Platform
- SkillsNetwork
Last Update
- September 13, 2024
Learning Outcomes
- Explore the use cases of Generative AI tools and techniques in data analytics
- Apply Generative AI tools to perform data analytics tasks including: data preparation, analysis, visualization, and storytelling.
- Assess practical case studies that demonstrate the effective application of Generative AI in extracting valuable insights from data.
- Examine the ethical implications and obstacles linked with the use of Generative AI in data analytics.
Course Syllabus
- Welcome
- Data Analytics and Generative AI
- Generative AI for Data Preparation and Insights
- Module Assessment
- Generative AI for Data Visualization and Storytelling
- Generative AI Considerations in Data Analytics
- Module Assessment
- Final Project
- Final Exam
- Course Wrap-Up
General Information
- This course is self-paced.
- This platform works best with current versions of Chrome, Edge, Firefox, Internet Explorer, or Safari.
Recommended Skills Prior to Taking this Course
- Generative AI Essentials
- Prompt Engineering Essentials
Language
- English
Topic
- Artificial Intelligence
Industries
- Social Sciences
Skills You Will Learn
- Generative AI, Artificial Intelligence, Dashboards, Data Visualization, Data Preparation, Data Analysis
Offered By
- IBMSkillsNetwork
Estimated Effort
- 13 hours
Platform
- SkillsNetwork
Last Update
- September 13, 2024
Instructors
Rav Ahuja
Global Program Director, IBM Skills Network
Rav Ahuja is a Global Program Director at IBM. He leads growth strategy, curriculum creation, and partner programs for the IBM Skills Network. Rav co-founded Cognitive Class, an IBM led initiative to democratize skills for in demand technologies. He is based out of the IBM Canada Lab in Toronto and specializes in instructional solutions for AI, Data, Software Engineering and Cloud. Rav presents at events worldwide and has authored numerous papers, articles, books and courses on subjects in managing and analyzing data. Rav holds B. Eng. from McGill University and MBA from University of Western Ontario.
Read moreAbhishek Gagneja
Freelance Subject Matter Expert
I am a lifelong learner with more than a decade of teaching experience at university level. I am an AI enthusiast and love learning new things.
Read more