Generative AI: Enhance your Data Analytics Career

Generative AI: Enhance your Data Analytics Career

This course is part of multiple programs.

Instructors: Dr. Pooja

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

Details to know

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Assessments

7 assignments

Taught in English

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There are 3 modules in this course

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.

What's included

8 videos2 readings3 assignments1 app item1 discussion prompt10 plugins

8 videosTotal 44 minutes

Course Introduction2 minutesPreview module
Generative AI for Data Analytics 4 minutes
Examples of Generative AI in Data Analytics 7 minutes
Demo: Generative AI for Data Generation and Augmentation 7 minutes
Demo: Generative AI for Data Preparation5 minutes
Demo: Generative AI for Querying Databases5 minutes
Generative AI for Q and A Model Insights 6 minutes
Successful Implementations of Generative AI for Data Preparation and Insights 5 minutes

2 readingsTotal 15 minutes

Course Syllabus and Prerequisites5 minutes
Module 1 Summary: Data Analytics and Generative AI 10 minutes

3 assignmentsTotal 50 minutes

Module 1 Graded Quiz: Data Analytics and Generative AI30 minutes
Lesson 1 Practice Quiz: Data Analytics and Generative AI 10 minutes
Lesson 2 Practice Quiz: Generative AI for Data Preparation and Insights10 minutes

1 app itemTotal 30 minutes

Hands-on Lab: Generative AI for Querying Databases30 minutes

1 discussion promptTotal 5 minutes

Discussion Prompt: Data Analytics and Generative AI5 minutes

10 pluginsTotal 158 minutes

Helpful Tips for Course Completion3 minutes
Reading: Generative AI Tools for Data Analytics 5 minutes
Reading: Case Study on Successful Implementations of Generative AI in Data Analytics 10 minutes
Hands-on Lab: Explore a Simple Generative Tool30 minutes
Reading: Leveraging Generative AI in Data Analytics Process 10 minutes
Hands-on Lab: Generative AI for Data Generation and Augmentation 30 minutes
Hands-on Lab: Generative AI for Data Preparation 30 minutes
Hands-on Lab: Generative AI for Q and A30 minutes
Reading: Using Microsoft Copilot5 minutes
Module 1 Cheatsheet: Data Analytics and Generative AI5 minutes

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.

What's included

7 videos1 reading3 assignments3 app items1 discussion prompt6 plugins

7 videosTotal 36 minutes

Demo: Generative AI for Data Insights 5 minutesPreview module
Demo: Generative AI for Data Visualization 4 minutes
Generative AI for Creating Dashboards4 minutes
Generative AI for Storytelling 4 minutes
Successful Implementation of Generative AI for Data Visualization and Storytelling 5 minutes
Considerations While Using Generative AI in Industries5 minutes
Challenges While Using Generative AI6 minutes

1 readingTotal 5 minutes

Module 2 Summary: Generative AI for data visualization and storytelling 5 minutes

3 assignmentsTotal 50 minutes

Module 2 Graded Quiz: Use of Generative AI for Data Analytics30 minutes
Lesson 1 Practice Quiz: Generative AI for Data Visualization and Storytelling10 minutes
Lesson 2 Practice Quiz: Generative AI Considerations for Data Professionals10 minutes

3 app itemsTotal 150 minutes

Hands-on Lab: Generative AI for Data Insights 30 minutes
(Optional): Hands-on Lab: Generative AI for Data Visualization 60 minutes
Hands-on Lab: Considerations for Data Professionals using Gen AI60 minutes

1 discussion promptTotal 5 minutes

Dashboarding and Storytelling with Generative AI5 minutes

6 pluginsTotal 141 minutes

Hands-on Lab: Generative AI for Data Visualization60 minutes
Hands-on Lab: Generative AI for Creating Dashboards30 minutes
Hands-on Lab: Generative AI for Storytelling 30 minutes
Reading: Responsible Generative AI for Data Professionals10 minutes
Case Study: Considerations While Using Generative AI in Healthcare6 minutes
Module 2 Cheatsheet: Use of Generative AI for Data Analytics5 minutes

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.