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.
Author Name: Wilvie Anora
Author Description:
She is the Co-founder as well as Strategy Lead of AtoANI (sustainable agriculture) and AtoANI BioPack (biodegradable packaging). She is passionate about Social Innovation and using it to contribute to the UN Sustainable Development Goals. With a Chemical Engineering and MBA Degree, her corporate experience in multinational companies involves working on various topics in the areas of Strategy, Digitalization, Innovation, Finance, Material Management, Quality Assurance, Program and Project Managem… more

Table of Contents

• Course Overview
  2mins
• Overview of Techniques and Ethics in Business Analytics
  16mins
• Predictive Analytics and Data Mining: Forecasting, Uncovering Data Patterns
  31mins
• Predictive and Prescriptive Analytics: Decision-making, Problem-solving
  27mins
• Correlation and Regression Analysis: Identifying Relationships, Making Predictions
  32mins
• Regression and Classification Techniques: Predicting Outcomes , Modeling
  29mins
• Time Series Analysis: Forecasting Time-dependent Data
  25mins
• AI and Machine Learning : Automating Data Analysis and Decision-making
  23mins
• Text and Sentiment Analysis: Analyzing Unstructured Data
  23mins