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Exploratory Analytics Project Ideation · LearnSpace
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Exploratory Analytics Project Ideation

Курс от University of Minnesota
Начальный≈ 14.8 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

Exploratory analytics is where data meets discovery, revealing hidden patterns and turning raw information into breakthrough insights. In this course we will first provide an overview of exploratory analytics methods such as clustering, association rule mining, anomaly detection, and study their business use cases. We will then consider a case study to learn how to use a design sprint framework to ideate about exploratory analytics project plan. Learning objectives: - Analyze how exploratory analytics concepts can be used to solve business problems - Construct an issue tree for an exploratory analytics project - Select a solution approach and define an exploratory analytics project

Навыки, которые вы освоите

AnalyticsAnomaly DetectionExploratory Data AnalysisIdeationProcess MappingBusiness AnalyticsCase StudiesData MiningProject DesignBusiness AnalysisDesign ThinkingData Analysis

Программа курса

5 модулей · 56 учебных материалов

01Specialization and Course Overview3 материалов
Introduction to Analytics Project Ideation Specialization OverviewВидеоPersonal IntroductionВидеоCourse OverviewВидео
02Module 1: Overview of Exploratory Analytics15 материалов

Module 1 Part 1: What is Exploratory Analytics?

Course 1 Module 1 Overview VideoВидео

Учитесь у экспертов

Soumya Sen

Associate Professor

Exploratory Analytics Project Ideation
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Обучение на Coursera

≈ 14.8 ч

5 модулей

Язык: Английский

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

Часть программы вашего университета
Introduction to Exploratory AnalyticsВидео
Harnessing the Power of External DataЧтение
Unsupervised Machine LearningВидео
Discovering Patterns in the DataВидео
Introduction to TableauЧтение

Module 1 Part 2: Exploratory Methods I: Association Rule Mining

Method Overview and ApplicationsВидеоRule Strength Measures – Support, Confidence, LiftВидеоMarket Basket AnalysisВидеоWhat is Market Basket Analysis?Чтение

Module 1 Part 3: Exploratory Methods II: Clustering Analysis & Anomaly Detection

Basic Ideas in Clustering, Similarity Measures & NormalizationВидеоK-means Clustering, Selecting the Number of ClustersВидеоAnomaly DetectionВидео

Module 1 Wrap-up

Practice ExamЗаданиеGraded ExamЗадание
03Module 2: Use Cases of Exploratory Analytics13 материалов

Module 2 Part 1: Case Study of Clustering for Loyalty Program

Course 1 Module 2 OverviewВидеоSCQ Analysis: Understanding Customer SegmentsВидеоSegment Identification – RFM AnalysisВидеоBusiness Use Case: Identifying Customer ProfilesВидео

Module 2 Part 2: Case Study of Association Rules for Cross-Promotion

SCQ Analysis: Uncovering Co-purchase Behaviors ВидеоCross-promotion Opportunities: Association Rules ВидеоBusiness Use Case: Cross-promotion OpportunitiesВидеоWhat Are Association Rules in Data Mining?Чтение

Module 2 Part 3: Understanding Staff Performance

SCQ Analysis: Mall Staff PerformanceВидеоBusiness Use Case: Low Performing StaffВидеоLeverage Anomaly Detection to Elevate People Analytics InsightsЧтение

Module 2 Wrap-up

Practice ExamЗаданиеGraded ExamЗадание
04Module 3: Exploratory Analytics Sprint Phase 1: Problem Identification12 материалов

Module 3 Part 1: High-level Needs Identification

Course 1 Module 3 OverviewВидеоIdentifying Business NeedsВидеоPrioritizing Needs – PICK chartsВидеоPICK Charts and Monetizing Wi-FiЧтение

Module 3 Part 2: SCQ Analysis (Mall case study)

Expert Interview: Exploratory Analytics for Retailers with Deb BaumanВидеоOverview of SCQ SheetВидео

Module 3 Part 3: Identifying Subproblems

Breaking Down into Subproblems – HMWsВидеоIdentify Common ThemesВидеоIdentify Most Important HMWsВидеоConstruct an Issue TreeВидео

Module 3 Wrap-up

Practice ExamЗаданиеGraded ExamЗадание
05Module 4: Exploratory Analytics Sprint Phase 2: Solutions Mapping13 материалов

Module 4 Part 1: Outcome Sketches

Course 1 Module 4 OverviewВидеоIdentifying Key DeliverablesВидеоCreating Mock-ups for Dashboards - InternalВидеоCreating Mock-ups for Dashboards – ExternalВидеоProduct Insights and Data DecisionsЧтение

Module 4 Part 2: Results Mapping

Mapping Methods and Data to Question – Part 1ВидеоMapping Methods and Data to Question – Part 2ВидеоFinal Course & Project Plan ReviewВидео

Module 4 Part 3: Exploratory Analytics for Airline Loyalty Program

Industry Expert – Exploratory Analytics for Airline Loyalty Program with Deb BaumanВидеоExploratory Analytics for Airline Customer Loyalty ProgramВидеоHow Airline Loyalty Programs Use Big Data To Drive Record RevenuesЧтение

Module 4 Wrap-up

Practice ExamЗаданиеGraded ExamЗадание