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Statistical Analysis and Advanced Techniques · LearnSpace
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Statistical Analysis and Advanced Techniques

Курс от Microsoft
Начальный≈ 30 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

Begin your journey into practical statistics with this beginner-friendly course that makes complex concepts accessible. Learn to perform basic statistical analyses using R and Microsoft's tools, while using AI assistance to help understand and implement statistical concepts. Through hands-on practice with real datasets, you'll build confidence in conducting and interpreting statistical tests. By the end of this course, you will be able to: • Apply core statistical methods — including descriptive statistics, hypothesis testing, and regression analysis — to real-world datasets with confidence. • Use R and Microsoft tools to perform, visualize, and communicate statistical analyses effectively. • Interpret the results of statistical tests and translate findings into clear, actionable insights for non-technical audiences. • Design and execute a basic end-to-end statistical analysis workflow, from data preparation through to results and conclusions.

Навыки, которые вы освоите

R ProgrammingRegression AnalysisLogistic RegressionTime Series Analysis and ForecastingStatistical Hypothesis TestingStatistical ModelingStatistical AnalysisStatistical InferenceStatistical MethodsAdvanced AnalyticsR (Software)Data AnalysisStatisticsPredictive ModelingStatistical ReportingAnalysisTechnical CommunicationProbability & StatisticsStatistical ProgrammingAnalytics

Программа курса

5 модулей · 85 учебных материалов

01Introduction to Statistical Analysis in R19 материалов

Introduction to the Course

Introduction to Statistical Analysis & Advanced Techniques CourseВидеоCourse SyllabusЧтениеUsing R in your Visual Studio Code Lab ЧтениеConnecting Copilot in your Visual Studio Code LabsЧтение

Fundamentals of Statistical Analysis

Учитесь у экспертов

Microsoft

Преподаватель курса

Statistical Analysis and Advanced Techniques
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Обучение откроется на Coursera
в новой вкладке

Обучение на Coursera

≈ 30 ч

5 модулей

Язык: Английский

Субтитры: Арабский, Французский, Узбекский, Итальянский, Бразильский португальский, Корейский, Немецкий, Пушту, Индонезийский, Азербайджанский, Испанский, Дари, Японский, Казахский

Часть программы вашего университета
Statistics in ActionВидео
Statistical Analysis FundamentalsЧтение
Basic Statistical Functions in RВидео
Exploring Statistical FunctionsЛабораторная
Choosing the Right Statistical TestDIALOGUE
Fundamentals of Statistical AnalysisЗадание

Hypothesis Testing and Confidence Intervals

Hypothesis Testing GuideЧтениеWhat Models Really AreЧтениеChoosing the Right Test in RЧтениеUnderstanding Hypothesis TestingВидеоImplementing Tests in RВидеоHypothesis Testing PracticeЛабораторнаяEmployee Performance Testing ScenarioЛабораторнаяHypothesis Testing AssessmentЗаданиеModule OverviewЧтение
02Simple and Multiple Regression Analysis16 материалов

Simple Linear Regression

Regression in Business Decision Making ВидеоUnderstanding Simple Linear RegressionЧтениеImplementing Linear Regression in RВидеоBuilding Your First Regression ModelЛабораторнаяSimple Linear Regression AssessmentЗадание

Multiple Linear Regression

Multiple Regression GuideЧтение Introduction to Multiple RegressionВидеоMultiple Predictor AnalysisЛабораторнаяMultiple Linear Regression AssessmentЗадание

Model Diagnostics and Validation

Regression Diagnostics GuideЧтениеModel Diagnostics in RВидеоDiagnostic Solution StrategiesЧтениеModel Validation PracticeЛабораторнаяInterpreting Regression ResultsDIALOGUEModel Diagnostics and Validation AssessmentЗадание
03Binary Logistic Regression16 материалов

Introduction to Binary Logistic Regression

Logistic Regression in ActionВидеоUnderstanding Logistic RegressionЧтениеBasic Logistic Regression in RВидеоLogistic Regression FundamentalsЧтениеYour First Logistic ModelЛабораторнаяBinary Logistic Regression AssessmentЗадание

Model Building and Interpretation

Model Building GuideЧтениеBuilding Complex ModelsЛабораторнаяModel Building and Interpretation AssessmentЗадание

Model Assessment and Validation

Validation GuideЧтениеValidating Binary Logistic Regression ModelsЧтениеModel Assessment TechniquesВидеоModel Validation TechniquesЛабораторнаяOptimizing Logistic ModelsDIALOGUEModel Assessment and Validation AssessmentЗадание
04Time Series Analysis16 материалов

Introduction to Time Series Components

Time Series in BusinessВидеоUnderstanding Time Series DataЧтениеTime Series FundamentalsЧтениеWorking with Time Series in RВидеоExploring Time Series DataЛабораторнаяChoosing the Right Forecasting MethodDIALOGUETime Series Components AssessmentЗадание

Time Series Forecasting Methods

Forecasting Techniques GuideЧтениеBuilding Forecasts ЧтениеImplementing Forecasting MethodsВидеоTime Series Forecasting Methods AssessmentЗадание

Model Evaluation and Selection

Model Selection GuideЧтениеEvaluating Forecast AccuracyВидеоModel Evaluation PracticeЛабораторнаяModel Evaluation and Selection AssessmentЗаданиеModule OverviewЧтение
05Integration with Microsoft Tools and Final Project18 материалов

Integration with Microsoft Tools

Exporting Excel Reports with RЧтениеR to Excel IntegrationВидеоEnhancing Excel Readability with R FormattingЧтениеR to Excel FormattingВидеоAutomating Excel Reports with RЧтениеR-Power BI Integration OverviewЧтениеR in Power BIВидео

Graded Lab Final Project

Project OverviewЧтениеSample Project 1ЛабораторнаяSample project: Project ImplementationВидеоSample Project 2ЛабораторнаяFinal Project: Regression Model Development and Validation Программирование[Solution] Final Project Чтение

Module Conclusion

Module OverviewЧтение

Next Steps

Building on What You’ve LearnedDIALOGUE Hands-on Activity: Presenting Analytical Findings to a Business Stakeholder DIALOGUECourse Overview and next stepsЧтение
Module OverviewЧтение
Module OverviewЧтение
Final Project Quiz AssessmentЗадание