What Is AI Copywriting?
February 12, 2025
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This course is part of multiple programs.
Instructors: Dr. Pooja
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(105 reviews)
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Intermediate level
An introductory knowledge of generative AI, prompt engineering and data analytics would be beneficial
(105 reviews)
Recommended experience
Intermediate level
An introductory knowledge of generative AI, prompt engineering and data analytics would be beneficial
Describe how you can use Generative AI tools and techniques in the context of data analytics across industries
Implement various data analytic processes such as data preparation, analysis, visualization and storytelling using Generative AI tools
Evaluate real-world case studies showcasing the successful application of Generative AI in deriving meaningful insights
Analyze the ethical considerations and challenges associated with using Generative AI in data analytics
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This comprehensive course unravels the potential of generative AI in data analytics. The course will provide an in-depth knowledge of the fundamental concepts, models, tools, and generative AI applications regarding the data analytics landscape.
In this course, you will examine real-world applications and use generative AI to gain data insights using techniques such as prompts, visualization, storytelling, querying and so on. In addition, you will understand the ethical implications, considerations, and challenges of using generative AI in data analytics across different industries. You will acquire practical experience through hands-on labs where you will leverage generative AI models and tools such as ChatGPT, ChatCSV, Mostly.AI, SQLthroughAI and more. Finally, you will apply the concepts learned throughout the course to a data analytics project. Also, you will have an opportunity to test your knowledge with practice and graded quizzes and earn a certificate. This course is suitable for both practicing data analysts as well as learners aspiring to start a career in data analytics. It requires some basic knowledge of data analytics, prompt engineering, Python programming and generative artificial intelligence.
This module introduces Generative AI for Data Analytics. You will explore several generative AI tools used in data analytics and gain insights into implementing them successfully. The module covers using generative AI for tasks like data generation and augmentation, data preparation, querying databases, and obtaining insights from Q&A models.
8 videos2 readings3 assignments1 app item1 discussion prompt10 plugins
In this module, you will have the skills and knowledge to effectively use Generative AI to derive insights, create visually compelling data representations, and construct interactive dashboards for data analytics pipelines. You will also understand the importance of ethical practices in utilizing generative models for data analytics.
7 videos1 reading3 assignments3 app items1 discussion prompt6 plugins
In this module, you will complete a guided practice project where you will use a real-world data set and practice generative AI to generate Python codes that can perform data preparation, analysis, visualization and dashboarding. In addition, you will attempt a final graded exam designed to evaluate your understanding of generative AI.
1 video2 readings1 assignment2 app items1 plugin
We asked all learners to give feedback on our instructors based on the quality of their teaching style.
Instructor ratings
We asked all learners to give feedback on our instructors based on the quality of their teaching style.
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Reviewed on Nov 7, 2024
It is good professional course certication to learn from coursera those who cannot attend direct classes can learn directly at their own time
Reviewed on Nov 24, 2024
Good introduction to Generative AI with fun labs. The videos go very fast, but transcripts can be downloaded.
Reviewed on Sep 23, 2024
Very useful information about AI for Data analysis in today's World data Insights.
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