This course will teach you about advance analytics and ethics in business analytics to help you develop proficiency in the ethical analysis of business data and enable data-driven decision-making.
What you'll learn
With the pressing requirement to solve business problems and provide a basis for making business decisions in a more data-driven context, the need to have a comprehensive understanding of the fundamental concepts and techniques of business analytics and how to apply them in their respective functions in their belonging organization is even more heightened. In this course, Advanced Analytics and Ethics in Business Analytics, you’ll learn about the fundamental concepts and techniques of business analytics and how to apply them in your respective functions in your belonging organization. First, you’ll be introduced to the fundamentals, techniques, and ethics surrounding business analytics in general. Next, you’ll learn about the different advanced analytic techniques in business analytics. Finally, you’ll discover the ethical considerations and real-world examples of the techniques presented. When you’re finished with this course, you’ll have the skills and knowledge of advanced analytics and ethics in business analytics that are needed to develop your proficiency in the ethical analysis of business data and enable data-driven decision-making.
Table of contents
Overview of Techniques and Ethics in Business Analytics
- Business Analytics Overview and Applications
- Relevance of Business Analytics
- Ethics in Business Analytics
- Business Analytics Techniques - Major Categories
- Business Analytics Techniques - Specific Techniques
- Use Case: Understanding Ethics and Techniques in Business Analytics
Predictive Analytics and Data Mining: Forecasting, Uncovering Data Patterns
- Predictive Analytics Overview
- Tools for Predictive Analytics
- Demonstration: Predictive Analytics Techniques for Forecasting - Weighted Moving Average
- Demonstration: Predictive Analytics Techniques for Forecasting - Trend Projection
- Data Mining Overview
- Tools for Data Mining
- Demonstration: Data Mining Techniques in Uncovering Data Patterns – Prediction
- Demonstration: Data Mining Techniques in Uncovering Data Patterns – Clustering
- Ethical Considerations: Predictive Analytics and Data Mining
- Real-world Examples: Predictive Analytics and Data Mining
- Use Case: Predictive Analytics and Data Mining - Case Scenario
- Use Case: Predictive Analytics and Data Mining – Answer
Predictive and Prescriptive Analytics: Decision-making, Problem-solving
- Predictive Analytics Overview
- Tools for Predictive Analytics
- Demonstration: Predictive Analytics Techniques for Problem-solving
- Prescriptive Analytics Overview
- Tools for Prescriptive Analytics
- Demonstration: Prescriptive Analytics for Decision-making
- Ethical Considerations: Predictive and Prescriptive Analytics
- Real-world Example: Predictive and Prescriptive Analytics
- Use Case: Predictive and Prescriptive Analytics - Case Scenario
- Use Case: Predictive and Prescriptive Analytics - Answer
Correlation and Regression Analysis: Identifying Relationships, Making Predictions
- Correlation Analysis Overview
- Tools for Correlation Analysis
- Demonstration: Correlation Analysis for Identifying Relationships
- Regression Analysis Overview
- Tools for Regression Analysis
- Demonstration: Regression Analysis for Making Predictions
- Ethical Considerations: Correlation and Regression Analysis
- Real-world Examples: Correlation and Regression Analysis
- Use Case: Correlation and Regression Analysis
Regression and Classification Techniques: Predicting Outcomes , Modeling
- Regression Analysis Recall
- Demonstration: Regression Analysis for Predicting Outcomes - Microsoft Excel
- Demonstration: Regression Analysis for Predicting Outcomes - RapidMiner
- Classification Technique Overview
- Tools for Classification Technique
- Demonstration: Classification Technique for Modeling
- Ethical Considerations: Regression and Classification Techniques
- Real-world Examples: Regression and Classification Techniques
- Use Case: Regression and Classification Techniques
Time Series Analysis: Forecasting Time-dependent Data
- Time Series Analysis Overview - Time-dependent Data, Time Series Components
- Time Series Analysis Overview - Time Series Models, Evaluation and Model Selection
- Tools for Time Series Analysis
- Demonstration: Time Series Analysis for Forecasting Time-dependent Data - Moving Average
- Demonstration: Time Series Analysis for Forecasting Time-dependent Data - Exponential Smoothing
- Demonstration: Time Series Analysis for Forecasting Time-dependent Data - Regression
- Ethical Considerations: Time Series Analysis
- Real-world Examples: Time Series Analysis
- Use Case: Time Series Analysis for Forecasting Time-dependent Data
AI and Machine Learning : Automating Data Analysis and Decision-making
- Artificial Intelligence and Machine Learning Overview
- Tools for Automating Decision-making Using AI and ML
- Demonstration: Machine Learning Techniques for Automating Data Analysis
- Ethical Considerations: Artificial Intelligence and Machine Learning
- Real-world Examples: Artificial Intelligence and Machine Learning
- Use Case: Machine Learning for Automating Data Analysis and Decision-making - Case Scenario
- Use Case: Machine Learning for Automating Data Analysis and Decision-making - Answer
Text and Sentiment Analysis: Analyzing Unstructured Data
- Text Analysis Overview
- Tools for Text Analysis
- Sentiment Analysis Overview
- Tools for Sentiment Analysis
- Demonstration: Text and Sentiment Analysis for Analyzing Unstructured Data
- Ethical Considerations: Text and Sentiment Analysis
- Real-world Examples: Text and Sentiment Analysis
- Use Case: Text and Sentiment Analysis for Analyzing Unstructured Data
