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

                    
                                Learn new concepts from industry experts
                            
                                Gain a foundational understanding of a subject or tool
                            
                                Develop job-relevant skills with hands-on projects
                            
                                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.