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Introduction to Generative AI for Data Analysis · LearnSpace
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Introduction to Generative AI for Data Analysis

Курс от Microsoft
Средний≈ 18 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

This foundational course provides a comprehensive understanding of generative AI and its applications in data analysis. You'll explore key tools and platforms, learn to integrate AI into existing workflows, and master prompt engineering for various data analysis tasks. Upon completion of this course, you'll be able to: Define generative AI and its role in data analysis Integrate generative AI tools into existing data analysis workflows Develop prompt engineering skills for data analysis tasks Evaluate ethical considerations in using generative AI for data analysis

Навыки, которые вы освоите

Generative AIData AnalysisData EthicsResponsible AIData PreprocessingData CleansingAnomaly DetectionPrompt EngineeringExploratory Data AnalysisAI IntegrationsTransfer Learning

Программа курса

5 модулей · 103 учебных материалов

01Introduction to Generative AI19 материалов

Defining Generative AI and its impact

Welcome to generative AI for data analysis certificateВидеоGenerative AI for data analysts certificate syllabus overviewЧтениеCoursera Community: Introduce yourself and say hi to your classmatesЧтениеWhat is generative AI?Видео

Учитесь у экспертов

Microsoft

Преподаватель курса

Introduction to Generative AI for Data Analysis
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Обучение на Coursera

≈ 18 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
A paradigm shift in data analysisЧтение
The creative potential of generative AIВидео
Applying generative AI in data analysisВидео
Case studies: How generative AI is transforming data analysisЧтение
Defining generative AI and its impactЗадание

Tools and platforms for data analysis

The field of generative AIВидеоGenAI Tools for Data Analysis: A Practical GuideЧтениеMicrosoft Copilot for data analysis: A walkthroughВидеоChoosing the right generative AI tool: A guide for data analystsЧтениеTools and platforms for data analysisЗадание

Integrating Generative AI into Workflows

Integrating Microsoft Fabric/PowerBI/365 into workflowsВидеоPower BI and Generative AI: A powerful combinationЧтениеBest practices for integrating Generative AI into your data analysis workflowЧтениеProject: Data analysis challengeЗаданиеIntroduction to Generative AIЗадание
02Data exploration with GenAI21 материалов

Key terms and questions in data exploration

Data exploration essentials: Key terms and concepts for analystsВидеоData exploration: An introduction for data analystsЧтениеThe language of data: Visualizing key exploration concepts ВидеоHow to ask effective questions: A guide to data explorationВидеоAsking the right questions: A guide to data explorationЧтениеKey terms and questions in data explorationЗадание

Leveraging Generative AI for data exploration

Streamlining data exploration with generative AI toolsВидеоDemo: Data exploration with Microsoft CopilotВидеоGenerative AI for data exploration: New possibilitiesЧтениеGenAI for data exploration: Best practices and tipsВидеоLeveraging Generative AI for data explorationЗадание

Analyzing a dataset with GenAI

Case study: Data exploration with generative AIЧтениеHow to craft effective queries for generative AIВидеоDemo: Refining prompts for better insightsВидеоActivity: Data detective: The first lookЗаданиеAnalyzing a dataset with GenAIЗадание

Evaluating GenAI insights in data exploration

Evaluating insights from generative AI: Separating facts from claimsВидеоAssessing the validity of generative AI insights: A framework for data analystsЧтениеChallenges and limitations of generative AI in data explorationЧтениеActivity: Data detective: Uncover the cluesЗаданиеData exploration with generative AIЗадание
03Data cleaning with GenAI21 материалов

Identifying and categorizing data inconsistencies

GenAI's role in uncovering inconsistenciesВидеоDemo: Automatic inconsistency flaggingВидеоThe data cleaning dilemma: How GenAI offers solutionsЧтениеVisualizing data inconsistency: A guided tourВидеоBeyond the basics: Advanced data cleaning techniques with GenAIЧтениеIdentifying and categorizing data inconsistenciesЗадание

Evaluating Impact and Making Decisions

Decoding GenAI reports: Understanding the impact of data inconsistenciesВидеоFrom report to action: Making informed decisions with GenAI insightsВидеоData quality is key: Using GenAI to prioritize cleaning effortsЧтениеProject: Unveiling Data Inconsistencies with GenAIЗаданиеThe ethics of automated data cleaning: Balancing efficiency and responsibilityЧтениеEvaluating impact and making decisionsЗадание

Imputing missing values and handling outliers

The art and science of missing data: GenAI as your assistantЧтениеThe outlier effect: How GenAI helps spot and address anomaliesВидеоBeyond removal: When outliers are insights, not errorsЧтениеImputing missing values and handling outliersЗадание

Data standardization, transformation, and normalization

Data transformation fundamentals: Why it matters for accurate analysisВидеоThe data transformation toolkitЧтениеFeature engineering in the age of GenAI: A balanced approachЧтениеProject: Addressing data inconsistencies by cleaning your dataset with GenAI ЗаданиеData Cleaning with GenAIЗадание
04Prompt Engineering Fundamentals22 материалов

Crafting effective prompts

The art of prompting: A guide for data analystsЧтениеThe prompt makeover: From vague to valuableВидеоPrompt gallery: Real-world examples for inspirationЧтениеCrafting effective promptsЗадание

Optimization techniques

Improving your prompts: Strategies for refinementВидеоActivity: Prompt refinementЗаданиеIterative prompt refinement: A data analyst's secret weaponЧтениеSculpting your prompts: The art of iterative refinementВидеоPrompt engineering cheat sheet: Quick tips for data analystsЧтениеOptimization techniquesЗадание

Zero-Shot, One-Shot, and Few-Shot learning

Learning paradigms in GenAI: Using examples effectivelyВидеоZero-shot, one-shot, and few-shot learning with generative AIЧтениеZero-shot, one-shot and few shot learningВидеоPractical applications of learning paradigms in data analysisЧтениеZero-shot, one-shot, and few-shot learningЗаданиеDiscussion: Choosing the right learning paradigmЧтение

Structured prompt frameworks (RACE, PARE)

Effective prompting: Using the RACE and PARE frameworksВидеоPrompting with purpose: The RACE framework for data analysisЧтениеApplying the RACE frameworkЗаданиеUsing the PARE framework to ensure quality insightsЧтениеProject: Evaluating with PAREЗаданиеPrompt engineering fundamentalsЗадание
05Ethical and Safe Use of GenAI20 материалов

Identifying ethical concerns

Addressing ethical issues in generative AI: Bias, privacy, and misuseВидеоThe ethical landscape of generative AI: A data analyst's perspectiveЧтениеGarbage in, garbage out: How bias persists in GenAIВидеоActivity: Bias in generative AIЗаданиеEthical dilemmas in action: Case studies from the data analysis fieldЧтениеIdentifying ethical concernsЗадание

The importance of responsible AI

Beyond compliance: Why responsible AI is a competitive advantageЧтениеAI as a double-edged sword: Power, responsibility, and consequencesВидеоThe role of an AI ethicist: Balancing innovation and responsibilityВидеоBuilding an ethical AI framework: A guide for data teamsЧтениеThe importance of responsible AIЗадание

Evaluating GenAI use in scenarios

Before you deploy: Evaluating GenAI use cases for ethical risksЧтениеEthical challenges: Addressing issues in generative AIВидеоBuilt-in safeguards: Comparing GenAI tools for ethical useВидео Evaluating GenAI use in scenariosЗадание

Developing guidelines for ethical GenAI use

Why your organization needs custom ethical AI guidelinesВидеоImplementing ethical GenAI: Best practices for data teamsЧтениеThe future of ethical AI: Challenges and opportunities for data analystsЧтениеProject: Ensuring ethical use for a Data Analysis scenarioЗаданиеEthical and Safe Use of GenAI AssessmentЗадание