К содержимому
learnspaceYOUR NEXT CHAPTER
ПРОСТРАНСТВО ОБУЧЕНИЯ
ГлавнаяКаталог курсовМоё обучениеCoursera

Знания без границ

Учитесь у лучших университетов и компаний мира.

Открыть Coursera
Интеграция
Пространство университета
Моё пространствоСтраница курса
↵
ЯЛичный кабинетСтудент
© 2026 LearnSpaceКаждый день — возможность узнать больше.Помощь
Data Processing and Optimization with Generative AI · LearnSpace
Назад в каталог
courseraАнализ данных

Data Processing and Optimization with Generative AI

Курс от Microsoft
Средний≈ 17.6 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

This course focuses on advanced methods for data cleaning, preparation, and optimization using AI-assisted tools. You'll learn to generate synthetic data, address privacy concerns and data limitations in your projects. Discover how to leverage AI to identify and resolve complex data quality issues, ensuring your datasets are primed for analysis. Upon completion of this course, you'll be able to: Generate synthetic data using generative AI models Implement advanced data cleaning techniques with AI assistance Optimize datasets for improved analysis efficiency Apply ethical considerations in data processing and synthetic data generation

Навыки, которые вы освоите

Generative AIData QualityData SynthesisData EthicsData PreprocessingData CleansingFeature EngineeringGenerative Adversarial Networks (GANs)Responsible AIMicrosoft CopilotData ProcessingGenerative Model ArchitecturesInformation PrivacyData Integrity

Программа курса

5 модулей · 103 учебных материалов

01Synthetic data generation26 материалов

What is synthetic data and why use it?

Data Processing and Optimization with Generative AI syllabusЧтениеThe GenAI Tools for Data Analysis: A Practical GuideЧтениеThe data dilemma: When real data isn't enoughВидеоIntroducing synthetic data: The artificial twinВидео

Учитесь у экспертов

Microsoft

Преподаватель курса

Data Processing and Optimization with Generative AI
В каталоге вашей программы

Инвестируйте в себя

Новые знания — в удобное для вас время.

Начать на Coursera

Обучение откроется на Coursera
в новой вкладке

Обучение на Coursera

≈ 17.6 ч

5 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, Хинди, Японский, Казахский, Венгерский, Польский

Часть программы вашего университета
Synthetic data: Unlocking new possibilitiesЧтение
Synthetic data in real-world applicationsВидео
Activity: Assessing synthetic data scenariosЗадание
Identifying synthetic data use cases Задание

How generative AI creates synthetic data

The synthetic data factory: How GenAI makes it happenВидеоThe ethical landscape of synthetic data: Navigating privacy and fairness concernsЧтениеDemo: The magic behind synthetic data: Generative AI in actionВидеоThe art of synthetic data generation: GANs vs. VAEsЧтениеUnderstanding synthetic data generationЗаданиеCheckpoint Dialogue: How GenAI Creates Synthetic Data (Methods, Limits, Ethics)DIALOGUE

Applying generative AI to create synthetic data

The synthetic data superhero: Saving the day with fake dataВидеоDemo: Hands-on synthetic data creation: A guided tourВидеоSynthetic data in Python: A practical tutorialВидеоBest practices for synthetic data creation: Dos and don'tsЧтениеActivity: Synthetic data generationЗаданиеGenerating synthetic data with GenAI toolsЗадание

Assessing the quality of synthetic data

The data detective evaluates synthetic data: Real or fake?ВидеоSynthetic data in actionЧтениеComparative analysis: Synthetic vs. real dataВидеоMeasuring synthetic data quality: Metrics and benchmarksЧтениеEvaluating and measuring synthetic data qualityЗаданиеPractice: Evaluating Synthetic Dataset FitnessDIALOGUE
02Advanced data cleaning techniques19 материалов

Identifying advanced data quality issues

The data detective: Beyond the basicsВидеоReal talk: A data cleaning story timeВидеоThe anatomy of bad dataЧтениеActivity: Spotting advanced data quality issuesЗаданиеIdentifying advanced data quality issuesЗадание

How generative AI tackles advanced data cleaning

GenAI to the rescue: The superhero of data cleaningВидеоGenAI data cleaning toolkit: A deep diveВидеоHow Generative AI tackles advanced data cleaningЧтениеGenAI in action: Case studies of complex data cleaningЧтениеProject: GenAI tools in action: Fixing the messЗаданиеAdvanced data cleaningЗадание

Using GenAI for advanced data cleaning

Expert insights: A data engineer's perspective on GenAI for data cleaningВидеоBeyond the basics: Advanced techniques in GenAI data cleaning toolsВидеоEvaluating data cleaning success: Metrics and best practiceЧтениеUsing GenAI for data cleaningЗадание

Assessing the impact of GenAI-based cleaning

The clean data transformation: Before and after GenAIВидеоBeyond cleaning: Leveraging Generative AI for data enrichment and augmentationЧтениеThe impact of GenAI cleaning with dashboardsЧтениеData cleaning with GenAIЗадание
03Dataset preparation18 материалов

Synthetic data, real-world data, and hybrid datasets

The data spectrum: A data scientist's guide to choosing the right datasetВидеоHybrid datasets: The best of both worlds?ЧтениеActivity: Choosing the right dataset typeЗаданиеExploring synthetic data generation toolsВидеоThe data trioЗадание

Data preprocessing techniques for generative AI

The data preprocessing pipeline: A journey from raw data to model inputЧтениеDemo: Preprocessing data in Python: A step-by-step guideВидеоLessons learnedЧтениеData preprocessing techniquesЗадание

Feature engineering for generative AI

The art and science of feature engineering: A practical guideЧтениеActivity: Feature engineering challengeЗаданиеFeature engineering in actionВидеоFeature engineering for generative AIЗадание

Biases and ethical implications in dataset preparation

Bias in data: The silent threat to fairnessВидеоNavigating the ethical landscape of generative AIВидеоEthical considerations in generative AIЧтениеReal-world examples of bias in generative AIЧтениеBiases and ethical implicationsЗадание
04Datasets optimization20 материалов

Key components of a well-structured dataset

The anatomy of a datasetВидеоThe data landscape: A guide to different types of datasetsЧтениеActivity: Dataset components check-upЗаданиеData relevance and accessibility: The dynamic duo of analysisЧтениеWell-structured datasetЗадание

How generative AI enhances dataset structure

The data makeover: GenAI's transformation magicВидеоThe ethical implications of AI in data optimizationЧтениеActivity: Identifying techniques for dataset issuesЗаданиеBeyond the basics: Advanced GenAI techniques for dataset optimizationЧтениеHow GenAI transformed workflows ВидеоEnhance dataset structureЗадание

Using GenAI to optimize a given dataset

Hands-on dataset optimization: A step-by-step guideВидеоCase studies: Successful dataset optimizations with GenAIЧтениеOpenRefine/ Microsoft Azure Data Factory: Tips and tricksВидеоThe optimized dataset: A powerful tool for analysisВидеоUsing GenAI to optimize a given datasetЗадание

Evaluating the effectiveness of GenAI-based optimization

Introducing evaluating effectivenessВидеоThe ROI of dataset optimization: Measuring impactЧтениеDiscussion: The impact of AI on dataset optimizationЧтениеDataset optimization with generative AIЗадание
05Ethical considerations in data processing20 материалов

Ethical considerations in data collection and privacy

The ethical minefield of dataВидеоThe ethics of data collectionВидеоData ownership and controlЧтениеData privacy regulations: A global perspectiveЧтениеAnonymization and pseudonymization techniquesВидеоIdentifying ethical concerns in data collection and privacyЗадание

Bias and fairness in data and algorithms

Bias and fairness in dataВидеоAlgorithmic Discrimination: Unmasking Bias in AI SystemsЧтениеReal-world examples of bias in AIВидеоMitigating bias and promoting fairness: Best practicesЧтениеImpact of bias in data and algorithmsЗадание

Responsible use of generative AI in data processing

The ethical AI assistant: Navigating the moral mazeВидеоThe ethical implications of synthetic dataЧтениеGenerative AI and manipulated media: The ethical challengesВидеоDemo: Explainability and transparency in GenAI modelsВидеоResponsible use of generative AIЗадание

Developing ethical guidelines for data generation and processing with GenAI

The ethical compass of GenAIВидеоA framework for ethical data processingЧтениеCreating a code of ethicsВидеоDeveloping a code of ethicsЗадание