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Generative AI: Elevate Your Data Science Career · LearnSpace
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Generative AI: Elevate Your Data Science Career

Курс от IBM
Средний≈ 14.5 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

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.

Навыки, которые вы освоите

Generative Model ArchitecturesGenerative AIGenerative Adversarial Networks (GANs)Responsible AIAutoencodersData SynthesisData EthicsData AnalysisFeature EngineeringPredictive ModelingExploratory Data AnalysisData Visualization SoftwareData Science

Программа курса

3 модулей · 60 учебных материалов

01Data Science and Generative AI30 материалов

Welcome

Course IntroductionВидеоCourse Syllabus and PrerequisitesЧтениеHelpful Tips for Course CompletionPLUGINMeet Your ExpertsВидео

Generative AI in Data Science

Учитесь у экспертов

Rav Ahuja

CCO & Global Program Director

 Generative AI: Elevate Your Data Science Career
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Обучение откроется на Coursera
в новой вкладке

Обучение на Coursera

≈ 14.5 ч

3 модулей

Язык: Английский

Субтитры: Арабский, Французский, Узбекский, Украинский, Китайский (Китай), Греческий, Итальянский, Бразильский португальский, Вьетнамский, Нидерландский, Корейский, Немецкий, Пушту, Русский, Тайский, Индонезийский, Шведский, Турецкий, Азербайджанский, Испанский, Дари, Хинди, Японский, Казахский, Венгерский, Польский

Часть программы вашего университета
Generative AI and Data ScienceВидео
Expert Viewpoints: Generative AI in Data ScienceВидео
Reading: Generative AI Tools for Data ScientistsPLUGIN
Generative AI's Impact Across IndustriesВидео
Expert Viewpoints: Skills for Data Professionals to Leverage Gen AIВидео
Leveraging Generative AI in Data Science LifecycleВидео
Types of Generative AI ModelsВидео
Reading: Guide to Choosing a Generative AI Model TypePLUGIN
Case Study: Successful Implementation of Generative AI PLUGIN
Hands-on Lab: Explore a Simple Generative ToolPLUGIN
Expert Viewpoints: Generative AI Tools for Data ScientistsВидео
Lesson 1: Generative AI in Data ScienceЗадание

Generative AI for Data Preparation and Querying

Disclaimer: Demo: Generative AI for Data Generation and Augmentation ЧтениеDemo: Generative AI for Data Generation and Augmentation ВидеоHands-on Lab: Generative AI for Data Generation and Augmentation PLUGINGenerative AI for Data Preparation and Data Querying ВидеоExpert Viewpoints: Gen AI for Data Preparation and Data QueryingВидеоDemo: Generative AI for Data PreparationВидеоHands-on Lab: Generative AI for Data Preparation Внешний инструментDemo: Generative AI for Querying DatabasesВидеоHands-on Lab: Generative AI for Querying DatabasesВнешний инструментLesson 2: Generative AI for Data Preparation and QueryingЗадание

Module Summary and Quiz

Module 1 Summary: Data Science and Generative AI   ЧтениеModule 1 Cheatsheet: Data Science and Generative AIPLUGINModule 1: Data Science and Generative AIЗадание[Optional] Leveraging Generative AI in Data Science Обсуждение
02Use of Generative AI for Data Science22 материалов

Generative AI for Understanding Data and Model Building

Demo: Generative AI for Data Insights ВидеоHands-on Lab: Generative AI for Data Insights Внешний инструментDemo: Generative AI for Data Visualization ВидеоHands-on Lab: Generative AI for Data VisualizationPLUGINImportant Note: Generative AI Tool Access UpdateЧтениеHands-on Lab: Generative AI for Data VisualizationPLUGIN(Optional): Hands-on Lab: Generative AI for Data Visualization Внешний инструментGenerative AI Tools for Model DevelopmentВидеоHands-on Lab: Generative AI for Models DevelopmentВнешний инструментGenerative AI for Understanding Data and Model DevelopmentВидеоExpert Viewpoints : Gen AI for Understanding Data and Model BuildingВидеоLesson 1: Generative AI for Understanding Data and Model Building Задание

Generative AI Considerations for Data Professionals

Considerations While Using Generative AI in IndustriesВидеоChallenges While Using Generative AIВидеоReading: Responsible Generative AI for Data ProfessionalsPLUGINCase Study: Considerations While Using Generative AI in HealthcarePLUGINHands-on Lab: Considerations for Data Professionals using Gen AIВнешний инструментExpert Viewpoints: Ethical Considerations and Challenges Around Gen AIВидео

Module Summary and Quiz

Module 2 Summary: Use of Generative AI for Data ScienceЧтениеModule 2 Cheatsheet: Use of Generative AI for Data SciencePLUGINModule 2: Use of Generative AI for Data ScienceЗадание
03Final Project and Exam 8 материалов

Final Project

Review What You LearnedЧтениеReading: Final Project OverviewPLUGINHands-on Lab: Final Project: Generative AI for Data ScienceВнешний инструментExpert Viewpoints: Wrap-UpВидео

Final Exam

Final Exam: Generative AI for Data ScienceЗадание

Course Wrap Up

Generative AI for Data Science SkillsВидеоCongratulations and Next StepsЧтениеThanks from the Course TeamЧтение
Lesson 2: Generative AI Considerations for Data ProfessionalsЗадание