What will you learn in this Generative AI for Data Analysts Specialization Course
Understand the fundamentals of generative AI and its applications in data analysis.
Gain knowledge of prompt engineering concepts, including zero-shot and few-shot techniques.
Identify and utilize popular generative AI models and tools such as GPT, DALL·E, IBM Watsonx, Prompt Lab, Spellbook, and Dust.
Apply generative AI tools to enhance data analytics workflows, including data generation, augmentation, and querying databases.
Examine real-world applications where generative AI can enhance data analytics workflows.
Program Overview
Course 1: Generative AI: Introduction and Applications
⏳ 7 hours
- Learn the basics of generative AI, its capabilities, and real-world use cases across various industries.
Course 2: Generative AI: Prompt Engineering Basics
⏳ 7 hours
- Delve into prompt engineering concepts, exploring techniques like zero-shot and few-shot prompting, and tools to create effective prompts.Coursera
Course 3: Generative AI: Enhance your Data Analytics Career
⏳ 14 hours
- Apply generative AI tools and techniques in data analytics processes such as data preparation, analysis, visualization, and storytelling.
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Job Outlook
Completing this specialization prepares you for roles such as Data Analyst, Business Intelligence Analyst, or AI Specialist.
The skills acquired are applicable across various industries that utilize data analytics and AI technologies.
Enhance your employability by gaining practical experience in applying generative AI to data analytics workflows.
Specification: Generative AI for Data Analysts Specialization
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