IBM - Generative AI: Elevate Your Data Science Career
- Offered byCoursera
Generative AI: Elevate Your Data Science Career at Coursera Overview
Duration | 11 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Intermediate |
Official Website | Explore Free Course  |
Credential | Certificate |
Generative AI: Elevate Your Data Science Career at Coursera Highlights
- Earn a certificate of completion
- Add to your LinkedIn profile
Generative AI: Elevate Your Data Science Career at Coursera Course details
- 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
- 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.
Generative AI: Elevate Your Data Science Career at Coursera Curriculum
Data Science and Generative AI
Course Introduction
Generative AI and Data Science
Generative AI's Impact Across Industries
Leveraging Generative AI in Data Science Lifecycle
Types of Generative AI Models
Demo: Generative AI for Data Generation and Augmentation
Demo: Generative AI for Data Preparation
Demo: Generative AI for Querying Databases
Generative AI for Data Preparation and Data Querying
Course Syllabus and Prerequisites
Module 1 Summary: Data Science and Generative AI
Lesson 1: Generative AI in Data Science
Lesson 2: Generative AI for Data Preparation and Querying
Module 1: Data Science and Generative AI
Hands-on Lab: Generative AI for Data Preparation
[Optional] Leveraging Generative AI in Data Science
Helpful Tips for Course Completion
Reading: Generative AI Tools for Data Scientists
Reading: Guide to Choosing a Generative AI Model Type
Case Study: Successful Implementation of Generative AI
Hands-on Lab: Explore a Simple Generative Tool
Hands-on Lab: Generative AI for Data Generation and Augmentation
Hands-on Lab: Generative AI for Querying Databases
Module 1 Cheatsheet: Data Science and Generative AI
Use of Generative AI for Data Science
Demo: Generative AI for Data Insights
Demo: Generative AI for Data Visualization
Generative AI Tools for Model Development
Generative AI for Understanding Data and Model Development
Considerations While Using Generative AI in Industries
Challenges While Using Generative AI
Module 2 Summary: Use of Generative AI for Data Science
Lesson 1: Generative AI for Understanding Data and Model Building
Lesson 2: Generative AI Considerations for Data Professionals
Module 2: Use of Generative AI for Data Science
Hands-on Lab: Generative AI for Data Insights
Hands-on Lab: Generative AI for Models Development
Hands-on Lab: Considerations for Data Professionals using Gen AI
Hands-on Lab: Generative AI for Data Visualization
Case Study: Considerations While Using Generative AI in Healthcare
Module 2 Cheatsheet: Use of Generative AI for Data Science
Final Project and Exam
Generative AI for Data Science Skills
Review What You Learned
Congratulations and Next Steps
Thanks from the Course Team
Final Exam: Generative AI for Data Science
Hands-on Lab: Final Project: Generative AI for Data Science
Reading: Guided Practice Project Overview
Generative AI: Elevate Your Data Science Career at Coursera Admission Process
Important Dates
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