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AI-Enabled Data Analytics · LearnSpace
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AI-Enabled Data Analytics

Курс от Chegg Skills
Начальный≈ 19.1 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

AI-Enabled Data Analytics prepares learners to use artificial intelligence to analyze data, uncover insights, and make more informed business decisions. Designed for business professionals, aspiring analysts, managers, and anyone interested in improving their analytical skills, the course explores how AI-powered tools can simplify data analysis, automate repetitive tasks, and support data-driven decision-making. Learners develop practical skills in organizing, analyzing, and interpreting data while using AI to streamline common analytics workflows. Through hands-on activities and real-world business scenarios, they learn how to identify trends, generate meaningful insights, create visualizations, and communicate findings effectively. The course also explores responsible AI use, helping learners understand both the opportunities and limitations of AI-assisted analytics. Rather than focusing on programming or building AI models, the curriculum emphasizes practical workplace application. By the end of the course, learners will be prepared to confidently use AI-enabled data analytics tools to improve productivity, support strategic decision-making, and solve real-world business challenges.

Навыки, которые вы освоите

Prompt EngineeringMicrosoft ExcelResponsible AIData VisualizationBusiness ReportingData LiteracyGenerative AIData AnalysisDecision Support SystemsPredictive AnalyticsBusiness IntelligenceTrend AnalysisData StorytellingData EthicsDecision MakingStatistical AnalysisBusiness AnalyticsProblem SolvingArtificial IntelligenceAnalytics

Программа курса

7 модулей · 230 учебных материалов

01Course introduction: AI in data analytics6 материалов

Overview: AI in data analytics

Overview: AI in data analyticsЧтениеIntroductionЧтениеCourse overviewЧтениеWhat you’ll learnЧтение

Учитесь у экспертов

Barry Finder

VP of Operations

AI-Enabled Data Analytics
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Обучение на Coursera

≈ 19.1 ч

7 модулей

Язык: Английский

Часть программы вашего университета
Baseline reflectionDIALOGUE
Key takeawaysЧтение
02Prompt engineering for data analytics40 материалов

Overview: Prompt engineering for data analytics

Overview: Prompt engineering for data analyticsЧтениеIntroductionЧтениеKey takeawaysЧтение

The elements of effective prompts

The elements of effective promptsЧтениеKey termЧтениеIntroductionЧтениеCreating effective promptsЧтениеCreating effective promptsЧтениеCrafting successful promptsЧтениеUsing clarity and specificityЧтениеClarity and specificity in promptsЧтениеProviding context and framingЧтениеProviding context and framing in promptsЧтениеProviding targeted instructionsЧтениеProviding targeted instructions in promptsЧтениеProviding the right level of informationЧтениеProviding targeted instructions in promptsЧтениеProviding the desired length of the outputЧтениеEffective vs. ineffective: Length of the prompt outputЧтениеAvoiding biased or leading promptsЧтениеAvoiding biased or leading promptsЧтениеIterating and refiningЧтениеThe elements of effective promptsЧтениеKey takeawaysЧтение

Handling bias and fairness in prompts

Handling bias and fairness in promptsЧтениеKey termsЧтениеBiases that affect prompts and LLM outputsЧтениеConfirmation biasЧтениеSelection biasЧтениеGeneralization biasЧтениеAnchoring bias

Summary and assessment: Prompt engineering for data analytics

Summary and Assessment: Prompt engineering for data analyticsЧтениеPrompt engineering recapЧтениеAssessment overviewЧтениеKnowledge check: Prompt engineeringЗаданиеKey takeawaysЧтение
03Collecting data with AI54 материалов

Overview: Collecting data with AI

Overview: Collecting data with AIЧтениеModule overviewЧтениеKey takeawaysЧтение

Writing prompts for data discovery

Writing prompts for data discoveryЧтениеKey termЧтениеStep 1: Access ChatGPTЧтениеStep 2: Ask ChatGPT to suggest data sourcesЧтениеStep 3: Ask ChatGPT to create a search queryЧтениеStep 4: Refine the query with filtersЧтениеWriting prompts for data discoveryЧтениеKnowledge check: Prompts for data discoveryЗаданиеKey takeawaysЧтение

Writing prompts that connect to a specific dataset

Writing prompts that connect to a specific datasetЧтениеIntroductionЧтениеStep 1: Access ChatGPTЧтениеStep 2: Copy and paste the data into a ChatGPT promptЧтениеStep 3: Explore your data with ChatGPTЧтениеConsiderations when connecting ChatGPT to a datasetЧтение

Writing prompts to load data into external tools

Writing prompts to load data into external toolsЧтениеKey termЧтениеStep 1: Access ChatGPTЧтениеStep 2: Ask ChatGPT to load data into an external toolЧтениеLoad data from a local CSV fileЧтениеLoad data from a URLЧтение

Data privacy guidelines and best practices

Data privacy guidelines and best practicesЧтениеKey termЧтениеIntroductionЧтениеData privacy regulations and compliance requirementsЧтениеKnowledge check: Data privacy regulationsЗаданиеAdditional reading: Data privacy regulationsЧтение

Summary and assessment: Collecting data with AI

Summary and assessment: Collecting data with AIЧтениеSummaryЧтениеAssessment overviewЧтениеKnowledge check: Collecting data with AIЗаданиеKey takeawaysЧтение
04Cleaning data with AI40 материалов

Overview: Cleaning data with AI

Overview: Cleaning data with AIЧтениеData cleaningЧтениеKey takeawaysЧтение

Writing prompts that identify data cleaning needs

Writing prompts that identify data cleaning needsЧтениеIntroductionЧтениеWriting prompts that identify data cleaning needsЧтениеGetting started with AI-powered data cleaningЧтениеIdentify data cleaning needsЧтениеCheck your understandingЧтениеKnowledge check: AI prompting for data cleaningЗаданиеKey takeawaysЧтение

Writing prompts that clean data

Writing prompts for cleaning dataЧтениеWriting prompts that identify data cleaningЧтениеCleaning data using AI: Step-by-step guideЧтениеHandling missing dataЧтениеExample prompts for handling missing dataЧтениеHandling duplicate dataЧтение

Common errors and limitations of AI for data cleaning

Common errors and limitations of AI for data cleaningЧтениеKey termЧтениеIntroductionЧтениеCommon challenges of AI in data cleaningЧтениеKnowledge check: Scenario-based assessmentЗаданиеMitigating challenges of AI in data cleaningЧтение

Summary and assessment: Cleaning data with AI

Summary and assessment: Cleaning data with AIЧтениеSummaryЧтениеAssessment overviewЧтениеKnowledge check: Cleaning data with AIЗаданиеKey takeawaysЧтение
05Analyzing data with AI48 материалов

Overview: Analyzing data with AI

Overview: Analyzing data with AIЧтениеKey termЧтениеIntroductionЧтениеKey takeawaysЧтение

Writing prompts that generate descriptive data analysis

Writing prompts that generate descriptive data analysisЧтениеIntroductionЧтениеImportant noteЧтениеWriting prompts that generate descriptive data analyticsЧтениеWriting prompts step-by-step guideЧтениеStep 1: Access ChatGPTЧтениеStep 2: Ask ChatGPT to aggregate dataЧтениеCalculate summary statistics for ExcelЧтениеExercise caution!ЧтениеAggregate data for ExcelЧтениеPivot table exampleЧтениеAggregate data for pythonЧтениеStep 3: Verify ChatGPT’s recommendationsЧтениеCheck your understandingЧтениеKnowledge check: Writing prompts that generate descriptive data analysisЗаданиеKey takeawaysЧтение

Writing prompts that summarize descriptive data analysis

Writing prompts that summarize descriptive data analysisЧтениеIntroductionЧтениеDataset of employee informationЧтениеImportant noteЧтениеPrompts to summarize descriptive data analyticsЧтениеWriting prompts step-by-step guideЧтение

Common errors and limitations of AI for data analysis

Common errors and limitations of AI for data analysisЧтениеIntroductionЧтениеMisinterpreting resultsЧтениеOther errors and limitations of AIЧтениеCheck your understandingЧтениеKnowledge check: Common errors and limitations of AI for data analysisЗадание

Summary and assessment: Analyzing data with AI

Summary and assessment: Analyzing data with AIЧтениеSummaryЧтениеAssessment overviewЧтениеKnowledge check: Analyzing data with AIЗаданиеKey takeawaysЧтение
06Visualizing data with AI35 материалов

Overview: Visualizing data with AI

Overview: Visualizing data with AIЧтениеUpcoming lessonsЧтениеKey takeawaysЧтение

Writing prompts that help you create visualizations 

Writing prompts that help you create visualizationsЧтениеWriting prompts overviewЧтениеAsk ChatGPT to generate steps or code for ExcelЧтениеChart exampleЧтениеWrite code in pythonЧтениеWriting prompts that produce simple visualizationsЧтениеCheck your understandingЧтениеKnowledge check: Writing prompts that help you create visualizationsЗаданиеKey takeawaysЧтение

Prompts to summarize visualization insights

Prompts to summarize visualization insightsЧтениеIntroductionЧтениеExcel pivot tableЧтениеAccess ChatGPTЧтениеWriting promptsЧтениеWriting prompts to summarize insightsЧтениеCheck your understanding

Common errors and limitations of AI for visualizations

Common errors and limitations of AI for data analysisЧтениеKey termsЧтениеLacking direct visualization and creativityЧтениеKnowledge check: Common errors and limitations of AI for visualizationsЗаданиеLacking context and misinterpreting dataЧтениеKnowledge check: Common errors and limitations of AI for visualizationsЗадание

Summary and assessment: Visualizing data with AI

Summary and assessment: Visualizing data with AIЧтениеSummaryЧтениеAssessment overviewЧтениеKnowledge check: Visualizing data with AIЗаданиеKey takeawaysЧтение
07Course wrap-up: AI in data analytics7 материалов

Summary: AI in data analytics

Summary: AI in data analyticsЧтениеSummaryЧтениеKey takeawaysЧтение

Assessment: AI in data analytics

Assessment: AI in data analyticsЧтениеAssessment overviewЧтениеKnowledge check: AI in data analyticsЗаданиеKey takeawaysЧтение
Чтение
Recency biasЧтение
Survivorship biasЧтение
Handling bias and fairness in promptsЧтение
Key takeawaysЧтение
Knowledge checkЗадание
Writing prompts that connect to a specific datasetЧтение
Knowledge check: Analyze promptsЗадание
Key takeawaysЧтение
In-depth directions from URLЧтение
Loading data from an APIЧтение
Examples from an APIЧтение
Step 3: Load the data into an external toolЧтение
ConclusionЧтение
Writing prompts to load data into external toolsЧтение
Knowledge checkЗадание
Key takeawaysЧтение
Knowledge check: Data privacy guidelinesЗадание
Ensuring data privacy and security: Best practiceЧтение
Anonymization and de-identification techniquesЧтение
ConclusionЧтение
Data privacy guidelines and best practicesЧтение
Knowledge check: Data privacy best practicesЗадание
Key takeawaysЧтение
Example prompts for handling duplicate dataЧтение
Handling inconsistenciesЧтение
Example prompts for handling inconsistenciesЧтение
Handling outliersЧтение
More example prompts for handling outliersЧтение
Handling erroneous dataЧтение
More example prompts for erroneous dataЧтение
Check your understandingЧтение
Knowledge check: Writing prompts for cleaning dataЗадание
Key takeawaysЧтение
Common errors and limitations of AI for data cleaningЧтение
Key takeawaysЧтение
Step 1: Access ChatGPTЧтение
Step 2: Ask ChatGPT to summarize a datasetЧтение
Describe measures of central tendencyЧтение
Describe patterns, trends, and outliersЧтение
Write a reportЧтение
Step 3: Verify ChatGPT’s findingsЧтение
Knowledge check: Writing prompts that summarize descriptive data analysisЗадание
Check your understandingЧтение
Knowledge check: Writing prompts that summarize descriptive data analysisЗадание
Key takeawaysЧтение
Key takeawaysЧтение
Чтение
Knowledge check: Prompts to summarize visualizationsЗадание
Key takeawaysЧтение
Check your understandingЧтение
Knowledge check: Common errors and limitations of AI for visualizationsЗадание
Key takeawaysЧтение