Course Summary
This course explores the process of making decisions, including ethical considerations and how to avoid common biases. It covers decision-making in both personal and professional contexts.Key Learning Points
- Understand the decision-making process and how it can be influenced by biases
- Learn how to make ethical decisions in different scenarios
- Develop strategies for effective decision-making
Related Topics for further study
- Decision-making process
- Ethical considerations
- Avoiding biases
- Effective strategies
- Personal and professional contexts
Learning Outcomes
- Understand how biases can influence decision-making
- Develop ethical decision-making skills
- Create effective decision-making strategies
Prerequisites or good to have knowledge before taking this course
- No prior knowledge of decision-making required
- Basic understanding of ethics recommended
Course Difficulty Level
IntermediateCourse Format
- Online
- Self-paced
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Related Education Paths
Notable People in This Field
- Professor of Psychology and Behavioral Economics
- Author and Journalist
Related Books
Description
Welcome to Data-driven Decision Making. In this course, you'll get an introduction to Data Analytics and its role in business decisions. You'll learn why data is important and how it has evolved. You'll be introduced to “Big Data” and how it is used. You'll also be introduced to a framework for conducting Data Analysis and what tools and techniques are commonly used. Finally, you'll have a chance to put your knowledge to work in a simulated business setting.
This course was created by PricewaterhouseCoopers LLP with an address at 300 Madison Avenue, New York, New York, 10017.
Outline
- Introduction to Data Analytics
- Specialization overview
- Welcome to Data Driven Decision Making
- What is Data Analytics?
- Solving business problems using data analytics
- Making business-defining decisions using data analytics
- A Message from our Chief People Officer at PwC
- Why do you need a data and analytics framework?
- The 4 aspects of the data and analytics framework
- Data and analytics framework: tools and techniques
- Make better and faster decisions with data and analytics
- Data and analytics at PwC
- Week 1 recap with Amity and Mike
- Course overview and syllabus
- Updating your profile
- The value delivered by analytics
- PwC's Global Data and Analytics Survey 2016
- The data and analytics framework
- Types of analytics
- Careers and roles in a professional services firm
- Learn more about PwC and our career opportunities
- Week 1 Quiz
- Technology and types of data
- The marketplace and emerging trends in big data analytics
- Business impacts of technology advancements and data trends
- What is Big Data?
- PwC's perspective on big data
- Data and analytics examples at PwC
- Identifying, organizing and processing data
- Week 2 recap with Amity and Mike
- "Structured", "Semi-Structured", and "Unstructured" data
- Implications of unstructured data - Case studies
- Data tools and technologies
- Week 2 Quiz
- Data analysis techniques and tools
- Types of data analysis techniques
- The role of Excel
- The role of SAS
- The role of R
- The role of Python
- The Power of Visualization
- The role of QlikView
- Week 3 recap with Amity and Mike
- Data analysis approaches and techniques
- A Business Example of Data Visualization Tools
- Week 3 quiz
- Data-driven decision making project
- Intro to Week 4 and Course Project
- Course recap with Amity and Mike
- Final course simulation
- Learn more about PwC and our career opportunities
- Final course simulation quiz
Summary of User Reviews
This course on decision-making has received positive reviews from many users. The course is designed to help individuals make better decisions in both personal and professional settings. One key aspect that many users found beneficial was the practical and applicable nature of the course material.Pros from User Reviews
- Practical and applicable course material
- Good mix of theory and real-world examples
- Engaging and knowledgeable instructors
- Useful tools and techniques provided
- Flexible schedule and self-paced learning
Cons from User Reviews
- Some users found the course material too basic
- Limited interaction with other students
- No certificate or credential offered for completion
- Some technical issues with the online platform
- Course may not be suitable for individuals with advanced knowledge of decision-making
Alex Mannella
4.6 Raiting
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