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Data-driven Decision Making

Approx. 9 hours to complete

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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

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

Intermediate

Course Format

Online
Self-paced

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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

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