Generative AI: Enhance your Data Analytics Career

Generative AI: Enhance your Data Analytics Career

This course is part of multiple programs.

Instructors: Dr. Pooja

Access provided by Paidy

33,349 already enrolled

3 modules

Gain insight into a topic and learn the fundamentals.

174 reviews

Intermediate level

Recommended experience

Flexible schedule

2 weeks at 10 hours a week

Learn at your own pace

96%

Most learners liked this course

3 modules

Gain insight into a topic and learn the fundamentals.

174 reviews

Intermediate level

Recommended experience

Flexible schedule

2 weeks at 10 hours a week

Learn at your own pace

96%

Most learners liked this course

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

Tools you'll learn

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

7 assignments

Taught in English

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Gain a foundational understanding of a subject or tool
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Earn a shareable career certificate

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 videos Total 44 minutes

Course Introduction 3 minutes
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 Preparation 6 minutes
Demo: Generative AI for Querying Databases 5 minutes
Generative AI for Q and A Model Insights 6 minutes
Successful Implementations of Generative AI for Data Preparation and Insights 6 minutes

2 readings Total 15 minutes

Course Syllabus and Prerequisites 5 minutes
Module 1 Summary: Data Analytics and Generative AI 10 minutes

3 assignments Total 50 minutes

Lesson 1 Practice Quiz: Data Analytics and Generative AI 10 minutes
Lesson 2 Practice Quiz: Generative AI for Data Preparation and Insights 10 minutes
Module 1 Graded Quiz: Data Analytics and Generative AI 30 minutes

1 app item Total 30 minutes

Hands-on Lab: Generative AI for Querying Databases 30 minutes

1 discussion prompt Total 5 minutes

Discussion Prompt: Data Analytics and Generative AI 5 minutes

10 plugins Total 158 minutes

Helpful Tips for Course Completion 3 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 Tool 30 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 A 30 minutes
Reading: Using Microsoft Copilot 5 minutes
Module 1 Cheatsheet: Data Analytics and Generative AI 5 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 videos2 readings3 assignments3 app items1 discussion prompt6 plugins

7 videos Total 37 minutes

Demo: Generative AI for Data Insights 6 minutes
Demo: Generative AI for Data Visualization 4 minutes
Generative AI for Creating Dashboards 5 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 Industries 6 minutes
Challenges While Using Generative AI 7 minutes

2 readings Total 15 minutes

Important Note: Generative AI Tool Access Update 10 minutes
Module 2 Summary: Generative AI for Data Visualization and Storytelling 5 minutes

3 assignments Total 50 minutes

Lesson 1 Practice Quiz: Generative AI for Data Visualization and Storytelling 10 minutes
Lesson 2 Practice Quiz: Generative AI Considerations for Data Professionals 10 minutes
Module 2 Graded Quiz: Use of Generative AI for Data Analytics 30 minutes

3 app items Total 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 AI 60 minutes

1 discussion prompt Total 5 minutes

Dashboarding and Storytelling with Generative AI 5 minutes

6 plugins Total 141 minutes

Hands-on Lab: Generative AI for Data Visualization 60 minutes
Hands-on Lab: Generative AI for Creating Dashboards 30 minutes
Hands-on Lab: Generative AI for Storytelling 30 minutes
Reading: Responsible Generative AI for Data Professionals 10 minutes
Case Study: Considerations While Using Generative AI in Healthcare 6 minutes
Module 2 Cheatsheet: Use of Generative AI for Data Analytics 5 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.