Generative AI: Elevate Your Data Science Career

Generative AI: Elevate Your Data Science Career

This course is part of multiple programs.

Instructors: Rav Ahuja

What you'll learn

Leverage generative AI tools, like GPT 3.5, ChatCSV, and tomat.ai, available to Data Scientists for querying and preparing data
Examine real-world scenarios where generative AI can enhance data science workflows
Practice generative AI skills in hand-on labs and projects by generating and augmenting datasets for specific use cases
Apply generative AI techniques in the development and refinement of machine learning models

Details to know

Earn a career certificate

Add to your LinkedIn profile

Assessments

7 assignments

Taught in English

See how employees at top companies are mastering in-demand skills

Learn more about Coursera for Business

Build your subject-matter expertise

This course is available as part of

When you enroll in this course, you'll also be asked to select a specific program.

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

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV

Share it on social media and in your performance review

There are 3 modules in this course

Generative AI is now mainstream. Boost your career with a course that features leading-edge, in-demand, generative AI skills tuned to the needs of data scientists.

This course is suitable for existing and aspiring data scientists, data professionals, analysts, and engineers. The course addresses real-world data science problems data scientists encounter—across multiple industries— with data generation, data augmentation, and feature engineering. Gain skills you can immediately put to use implementing generative AI models and techniques that address these real-world issues. Then, learn how to use generative AI to speed data visualizations, build models and to produce data insights. You’ll also learn about key ethics considerations around generative AI and data, key concerns for executives across industries. Demonstrate your new generative AI skills in a hands-on data augmentation and feature engineering project that you can apply in your real-life profession. Then complete your final quiz to earn your certificate. You can share both your project and certificate with your current or prospective employers.

In this module, you will explore the role of generative AI in data science. Lesson 1 introduces you to generative AI and how it can serve various purposes in the hands of data scientists. You will learn about the four common types of generative AI models and their impact and applications across diverse industries. Lesson 2 will cover how data scientists can leverage generative AI in the data science lifecycle. You will learn how data scientists can effectively use generative AI to perform data generation, data preparation, data querying, and data augmentation. You will also learn about data preparation and querying challenges and how generative AI models can help tackle these challenges.

What's included

9 videos2 readings3 assignments2 app items1 discussion prompt7 plugins

9 videosTotal 50 minutes

Course Introduction2 minutesPreview module
Generative AI and Data Science3 minutes
Generative AI's Impact Across Industries7 minutes
Leveraging Generative AI in Data Science Lifecycle6 minutes
Types of Generative AI Models6 minutes
Demo: Generative AI for Data Generation and Augmentation 7 minutes
Generative AI for Data Preparation and Data Querying 5 minutes
Demo: Generative AI for Data Preparation5 minutes
Demo: Generative AI for Querying Databases5 minutes

2 readingsTotal 7 minutes

Course Syllabus and Prerequisites5 minutes
Module 1 Summary: Data Science and Generative AI 2 minutes

3 assignmentsTotal 50 minutes

Module 1: Data Science and Generative AI30 minutes
Lesson 1: Generative AI in Data Science10 minutes
Lesson 2: Generative AI for Data Preparation and Querying10 minutes

2 app itemsTotal 60 minutes

Hands-on Lab: Generative AI for Data Preparation 30 minutes
Hands-on Lab: Generative AI for Querying Databases30 minutes

1 discussion promptTotal 3 minutes

[Optional] Leveraging Generative AI in Data Science 3 minutes

7 pluginsTotal 86 minutes

Helpful Tips for Course Completion3 minutes
Reading: Generative AI Tools for Data Scientists6 minutes
Reading: Guide to Choosing a Generative AI Model Type10 minutes
Case Study: Successful Implementation of Generative AI 4 minutes
Hands-on Lab: Explore a Simple Generative Tool30 minutes
Hands-on Lab: Generative AI for Data Generation and Augmentation 30 minutes
Module 1 Cheatsheet: Data Science and Generative AI3 minutes

In this module, you will explore the role of generative AI in data science. Lesson 1 will cover generative AI for understanding data and model building. You will learn how data scientists can use generative AI to visualize, develop, and build models. Lesson 2 will cover the use of generative AI for data science regarding tools and techniques to help in exploratory data analysis (EDA) and develop a predictive model. You will learn about the industry-specific considerations while using generative AI and the challenges data scientists face. You will also learn about the skills data scientists require to succeed in their field and how generative AI can help them hone those skills in today’s world.