What will you learn in this Generative AI for Data Analysts Specialization Course
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Understand the fundamentals of generative AI and its applications in data analysis.
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Gain knowledge of prompt engineering concepts, including zero-shot and few-shot techniques.
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Identify and utilize popular generative AI models and tools such as GPT, DALL·E, IBM Watsonx, Prompt Lab, Spellbook, and Dust.
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Apply generative AI tools to enhance data analytics workflows, including data generation, augmentation, and querying databases.
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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
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Completing this specialization prepares you for roles such as Data Analyst, Business Intelligence Analyst, or AI Specialist.
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The skills acquired are applicable across various industries that utilize data analytics and AI technologies.
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Enhance your employability by gaining practical experience in applying generative AI to data analytics workflows.
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Related Reading
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What Is Data Management? – Explore how effective data management practices underpin accurate analysis and the successful application of generative AI in analytics.
