Data Analysis for Business Students: A Mind-Mapping Approach is an innovative educational resource that guides business students in mastering the essential concepts and methodologies of data analysis. This design incorporates mind maps, a proven cognitive tool to streamline the learning experience.
Data Analysis for Business Students: A Mind-Mapping Approach is an innovative educational resource that guides business students in mastering the essential concepts and methodologies of data analysis. This design incorporates mind maps, a proven cognitive tool to streamline the learning experience.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
is a Senior Lecturer at the University of the West of Scotland and a Senior Fellow of the Higher Education Academy.
Inhaltsangabe
Part I: Introduction to Data Analysis Chapter 1: Introducing Data Analysis for Business Students Chapter 2: Basic Mathematics for Data Analysis Part II: Data Preparation and Exploratory Analysis Chapter 3: Data Sources, Types, and Quality Chapter 4: Descriptive Statistics and Data Visualisation Part III: Basic Data Analytics Techniques Chapter 5: Hypothesis Testing Chapter 6: Correlation Chapter 7: Regression Analysis Part IV: Advanced Data Analytics Techniques Chapter 8: Factor Analysis Chapter 9: Cluster Analysis Chapter 10: Structural Equation Modelling Part V: Data Analysis in a Digital World Chapter 11: Advanced Techniques in Big Data and Machine Learning Chapter 12: Ethical Considerations in Data Analysis Chapter 13: Data Analysis Tools, Software, and Cloud Platforms Chapter 14: Data Analysis Applications in Business Domains
Part I: Introduction to Data Analysis Chapter 1: Introducing Data Analysis for Business Students Chapter 2: Basic Mathematics for Data Analysis Part II: Data Preparation and Exploratory Analysis Chapter 3: Data Sources, Types, and Quality Chapter 4: Descriptive Statistics and Data Visualisation Part III: Basic Data Analytics Techniques Chapter 5: Hypothesis Testing Chapter 6: Correlation Chapter 7: Regression Analysis Part IV: Advanced Data Analytics Techniques Chapter 8: Factor Analysis Chapter 9: Cluster Analysis Chapter 10: Structural Equation Modelling Part V: Data Analysis in a Digital World Chapter 11: Advanced Techniques in Big Data and Machine Learning Chapter 12: Ethical Considerations in Data Analysis Chapter 13: Data Analysis Tools, Software, and Cloud Platforms Chapter 14: Data Analysis Applications in Business Domains
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