Generative AI: Enhance your Data Analytics Career
Instructor: Dr. Pooja , Abhishek Gagneja , Rav Ahuja
Intermediate Level • Approx. 14 hours • Flexible Schedule
What You'll Learn
- 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
Skills You'll Gain
Generative AI
Data analysis
Query Languages
SQL
Data Visualization Software
Data Ethics
Python Programming
Data Storytelling
ChatGPT
Prompt Engineering
Analytics
Dashboard
Artificial Intelligence and Machine Learning (AI/ML)
OpenAI
Shareable Certificate
Earn a shareable certificate to add to your LinkedIn profile
Outcomes
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Learn new concepts from industry experts
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Gain a foundational understanding of a subject or tool
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Develop job-relevant skills with hands-on projects
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Earn a shareable career certificate
There are 3 modules in this course
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.
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.
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.