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Data Preparation and Evaluation with Copilot · LearnSpace
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Data Preparation and Evaluation with Copilot

Курс от Microsoft
Начальный≈ 9.2 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

This course prepares you to use Microsoft Copilot for data preparation and evaluation tasks. Designed for data analysts, business analysts, and data professionals who regularly work with spreadsheets and datasets — no prior AI or coding experience required — this course helps you build practical, prompt-based workflows for everyday data tasks. Whether you're new to generative AI tools or looking to formalize how you use Copilot in your role, you'll learn how to leverage Copilot's generative AI and natural language processing capabilities to streamline your workflow, ensure data quality, and generate valuable insights, ultimately making you a more efficient and effective data professional. By the end of this course, you will be able to: - Use Copilot's natural language prompts to clean, structure, and prepare raw data for analysis - Apply Copilot's generative AI features to identify data quality issues and inconsistencies - Generate actionable insights from datasets using Copilot's evaluation capabilities - Streamline routine data preparation tasks to save time and reduce manual effort Who should take this course: This course is best suited for learners who already handle data as part of their role (e.g., data analysts, business/ops analysts, junior data scientists) and want to add AI-assisted workflows to their toolkit. Basic familiarity with spreadsheets or tabular data is helpful; no programming background is needed. Prerequisites: - Basic familiarity with spreadsheets or tabular data (e.g., rows, columns, filters) - No programming or coding experience required - No prior AI or machine learning knowledge required - Access to Microsoft Copilot Required Course Materials: A Copilot license is required to complete this course. If you don't have a Microsoft 365 Personal or Family license, you can start a free 30-day trial using the link provided in the course.

Навыки, которые вы освоите

Data ValidationInformation PrivacyAnomaly DetectionData TransformationSpreadsheet SoftwarePrompt EngineeringData WranglingData ManipulationAnalytics

Программа курса

3 модулей · 58 учебных материалов

01Data quality evaluation with generative AI and Copilot21 материалов

Data quality dimensions and anomalies

Why Data Quality Matters: Setting the Stage for Smarter AnalysisDIALOGUEThe foundations of data qualityВидеоSpotting the unusual: Anomaly detection with generative AIВидеоData anomalies: A field guideЧтение

Учитесь у экспертов

Microsoft

Преподаватель курса

Data Preparation and Evaluation with Copilot
В каталоге вашей программы

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Обучение откроется на Coursera
в новой вкладке

Обучение на Coursera

≈ 9.2 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, Хинди, Японский, Казахский, Венгерский, Польский

Часть программы вашего университета
Comparing anomaly detection methods: Traditional vs. generativeВидео
Choosing the right anomaly detection methodЧтение
High-Level Use Case: Anomaly DetectionВидео
Can you spot the anomaly?Задание
Copilot Data Quality CheckЛабораторная

Using NLP for data analysis, quality assessment, and reporting

Copilot: The AI-powered data analystВидеоHow to Get Started with Microsoft CopilotЧтениеDemo: Data analysis with CopilotВидеоNLP and generative AI: The power behind CopilotЧтениеDemo: Data quality assessmentВидеоMicrosoft Copilot Deciphering Data Quality ReportsЧтение

Copilot's impact on data quality, ROI, and data quality strategy

Choosing the right tool for the jobВидеоHow Microsoft Copilot Helps Businesses Reduce the Cost of Bad DataЧтениеCopilot's ROI on data quality: A business caseВидеоApplying Copilot to real-world data quality challengesDIALOGUEBlueprint for data quality: A step-by-step guideЧтениеCan you identify data quality, ROI, and how to build a data strategy?Задание
02Synthetic data generation with Copilot20 материалов

Synthetic data basics

Why Synthetic Data Skills Matter: Preparing for the Future of Data ScienceDIALOGUESynthetic data 101ЧтениеIntroduction to Synthetic Data and Generative ModelsВидеоSynthetic Data in PracticeDIALOGUECopilot and synthetic dataВидеоDemo: Augmentation with CopilotВидео

Generating synthetic data

Practice: Designing Synthetic Data Prompts with CopilotDIALOGUECopilot's synthetic data engineВидеоCopilot's advanced techniquesЧтениеSynthetic data tipsЧтениеCan you generate synthetic data?Задание

Evaluating synthetic data

Comparing synthetic vs. real data for model trainingВидеоEvaluating synthetic dataЧтениеDangers of low-quality synthetic dataВидеоCase study: Synthetic data successВидео

Ethics and risks of synthetic data

Ethics of synthetic dataЧтениеSynthetic data and privacyВидеоHow Do We Safely Create Synthetic Data?ВидеоSynthetic data's futureЧтениеCan you spot quality synthetic datasets?Задание
03Data cleaning and preparation with Copilot17 материалов

Data cleaning and preparation

Why clean data mattersВидеоCommon data quality issues and solutionsЧтениеMeet your data cleaning CopilotВидео

Spotting and fixing data issues with Copilot

Copilot finds dirty dataВидеоTry It: Apply Copilot to a Sample DatasetЗаданиеThe power of promptsВидеоAdvanced Prompting for Bias Mitigation in Data CleaningЧтениеHow Copilot is Trained: Understanding Bias and LimitationsВидеоEthical Considerations in Data TransformationВидеоData transformation cookbookЧтениеTips for seamless data flowsВидеоCan you spot and fix data issues?Задание

Manual vs. Copilot: A productivity showdown

Human vs. AI Data Cleaning RaceВидеоBalancing Microsoft Copilot's Efficiency and Accuracy: A Case Study on AI BiasЧтениеDIY or Copilot?ВидеоImplementing Copilot for Data optimizationВзаимная проверкаCan you identify efficiences and ethical considerations?Задание