Data-driven Decision Making (Coursera)

Offered by PwC,
Data-driven Decision Making (Coursera)

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.

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

Course 1 of 5 in the Data Analysis and Presentation Skills: the PwC Approach Specialization.

Syllabus

WEEK 1
Introduction to Data Analytics
In this module, you'll learn the basics of data analytics and how businesses use to solve problems. You'll learn the value data analytics brings to business decision-making processes. We’ll introduce you to a framework for data analysis and tools used in data analytics. Finally, we’re going to talk about careers and roles in data analytics and data science. Note: Video transcripts are auto generated and may contain spelling and punctuation errors.

WEEK 2
Technology and types of data
This module is an introductory look at big data and big data analytics where you will learn the about different types of data. We’ll also introduce you to PwC's perspective on big data and explain the impact of big data on businesses. Finally we will name some of the different types of tools and technologies used to gather data.

WEEK 3
Data analysis techniques and tools
In this module we will describe some of the tools for data analytics and some of the key technologies for data analysis. We will talk about how visualization is important to the practice of data analytics. Finally we will identify a variety of tools and languages used and consider when those tools are best used.

WEEK 4
Data-driven decision making project
The course project will give you an opportunity to practice what you have learned. You will participate in a simulated business situation in which you will select the best course of action. You will then prepare a final deliverable which will be evaluated by your peers. Additionally, you will have the opportunity to provide feedback on your peer's submissions.

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Bioinformatic Methods II (Coursera) Coursera
University of Toronto

Bioinformatic Methods II (Coursera)

Large-scale biology projects such as the sequencing of the human genome and gene expression surveys using RNA-seq, microarrays and other technologies have created a wealth of data for biologists. However, the challenge facing scientists is analyzing and even accessing these data to extract useful information pertaining to the system being studied. This course focuses on employing existing bioinformatic resources – mainly web-based programs and databases – to access the wealth of data to answer questions relevant to the average biologist, and is highly hands-on.

Sep 28th 2026
5-12 Weeks
Today’s Music Industry (Coursera) Coursera
West Virginia University

Today’s Music Industry (Coursera)

This course provides an engaging and methodical insight into the past and present cultural and commercial music industry developments, directions, and trends. It will equip the students with the knowledge and skills necessary to appreciate, understand and more productively participate in today’s music industry field.

Sep 28th 2026
5-12 Weeks
Supply Chain Principles (Coursera) Coursera
Georgia Institute of Technology

Supply Chain Principles (Coursera)

This course will provide a solid understanding of what a supply chain is all about. The course: provides an introduction to Supply Chain; leverages graphics to promote the Integrated Supply Chain model; emphasizes understanding the Extended Supply Chain; presents a holistic approach – Incorporating People, Process, and Technology; calls-out industry-specific supply chain; leverages discussions, videos, quizzes, and questions for consideration; provides awareness of career path opportunities; presents emerging and futuristic trends in supply chain and given that at GT we are focused on developing what’s next in the world, we include Discussion of emerging and futuristic trends in supply chain. There is very little math involved in this course – so don’t worry at all about your math skills.

Sep 28th 2026
5-12 Weeks
La gestión en la empresa familiar (Coursera) Coursera
ESADE Business and Law School

La gestión en la empresa familiar (Coursera)

Responsable de más del 50% de la riqueza global, la empresa familiar tiene un rol prominente en la generación de puestos de trabajo, innovación y progreso en todas las sociedades. Pero ¿qué diferencia a una empresa familiar?, ¿En qué medida tiene implicaciones para los profesionales que la componen? A través de este curso, aprenderemos a leer la globalidad de una organización familiar así como a evaluarla.

Sep 28th 2026
5-12 Weeks
Impact from Digital Transformation: Full course (Coursera) Coursera
EIT Digital

Impact from Digital Transformation: Full course (Coursera)

This course is about what you can do when everything around you seems to be moving due to digital change. It is about how to handle the disruptive process that tends to unfold in industry nowadays due to digitalisation. The way to handle this is what is here referred to as "Digital Transformation" and at the core of it, it is about understanding how the new business landscape is evolving and heading for a new position in that landscape. It is about corporate strategy.

Sep 28th 2026
5-12 Weeks
Probabilistic Graphical Models 1: Representation (Coursera) Coursera
Stanford University

Probabilistic Graphical Models 1: Representation (Coursera)

Probabilistic graphical models (PGMs) are a rich framework for encoding probability distributions over complex domains: joint (multivariate) distributions over large numbers of random variables that interact with each other. These representations sit at the intersection of statistics and computer science, relying on concepts from probability theory, graph algorithms, machine learning, and more. They are the basis for the state-of-the-art methods in a wide variety of applications, such as medical diagnosis, image understanding, speech recognition, natural language processing, and many, many more. They are also a foundational tool in formulating many machine learning problems.

Sep 28th 2026
5-12 Weeks
Global Statistics - Composite Indices for International Comparisons (Coursera) Coursera
University of Geneva

Global Statistics - Composite Indices for International Comparisons (Coursera)

In this course on global statistics, offered by the University of Geneva jointly with the ETH Zürich KOF, you will learn the general approach of constructing composite indices and some of resulting problems. We will discuss the technical properties, the internal structure (like aggregation, weighting, stability of time series), the primary data used and the variable selection methods. These concepts will be illustrated using a sample of the most popular composite indices. We will try to address not only statistical questions but also focus on the distinction between policy-, media- and paradigm-driven indicators.

Sep 28th 2026
5-12 Weeks
The Power of Markets I: The Basics of Supply and Demand and Consumer Behavior (Coursera) Coursera
University of Rochester

The Power of Markets I: The Basics of Supply and Demand and Consumer Behavior (Coursera)

This opening module of the Power of Markets course covers the basic assumptions about market participants made by economists, the concept of opportunity cost, and the key determinants of supply and demand. We will then learn how to use the supply-demand framework to explain and predict market outcomes and to show how government policies affect those market outcomes. We will look at how quantity demanded and supplied respond to their key determinants in quantitative (elasticity) as well as qualitative terms. The last two weeks of the first module will investigate consumer behavior more closely and show how consumer choices are driven by the interplay of preferences and budget constraints.

Sep 28th 2026
4 Weeks
Conflict Resolution Skills (Coursera) Coursera
University of California, Irvine

Conflict Resolution Skills (Coursera)

Resolving conflict in a positive manner is a skill that can be developed and practiced. Being heard can be one of the most important goals of someone engaged in conflict. Knowing how to listen and deploy appropriate communication tactics is determinative of whether a conflict will have a positive or negative resolution. Examine listening skills, appropriate and strategic verbal and non-verbal communication skills, and how to assemble a conflict management plan likely to yield positive resolutions.

Sep 28th 2026
3 Weeks
Power Onboarding (Coursera) Coursera
Northwestern University

Power Onboarding (Coursera)

Power Onboarding provides practical, easy-to-use tools to guide an individual who is transitioning to a new job. Students will prepare an actionable personal onboarding plan that will set them up for success in their new role. Research has shown that an actively followed power onboarding plan will allow an individual to reach proficiency in a new position up to 30% faster than the typical transitioning manager. In this course, students will develop their own onboarding plan, allowing them to contribute sooner and be eligible for promotion earlier.

Sep 28th 2026
4 Weeks