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.
Data-driven Decision Making
Heat up your career with 40% off top courses from Google, Adobe, and more. Save today.
Data-driven Decision Making
This course is part of Data Analysis and Presentation Skills: the PwC Approach Specialization
Instructor: Alex Mannella
198,289 already enrolled
Gain insight into a topic and learn the fundamentals.
4.6
(6,147 reviews)
Beginner level
No prior experience required
Flexible schedule
Approx. 8 hours
Learn at your own pace
97%
Most learners liked this course
Skills you'll gain
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
4 assignments
Taught in English
See how employees at top companies are mastering in-demand skills
Build your subject-matter expertise
This course is part of the Data Analysis and Presentation Skills: the PwC Approach Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate
There are 4 modules in this course
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.
What's included
11 videos8 readings1 assignment2 discussion prompts
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.
What's included
7 videos3 readings1 assignment4 discussion prompts
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.
What's included
8 videos2 readings1 assignment1 discussion prompt
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.
What's included
2 videos2 readings1 assignment1 peer review
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
Instructor
Instructor ratings
4.7 (636 ratings)Offered by
Explore more from Data Analysis
Status: Free TrialFundação Instituto de Administração
Status: Free TrialUniversity of Colorado Boulder
Status: Free TrialUniversity of Pennsylvania
Status: Free TrialDuke University
Why people choose Coursera for their career
Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."
Learner reviews
4.6
6,147 reviews
- 5 stars
71.03%
- 4 stars
21.48%
- 3 stars
4.94%
- 2 stars
1.26%
- 1 star
1.26%
Showing 3 of 6147
MV
5
Reviewed on Nov 16, 2017
An excellent course to get a high level overview of various tools- how things work in a professional consultancy- concise frameworks.Good for people who are just starting up with analytics.
DB
5
Reviewed on May 29, 2020
Great course for anyone who wants to learn the frameworks for problem solving with data, and for those who want to learn about the use cases of tools like Python, R, SAS, and many other tools
AM
4
Reviewed on Mar 20, 2017
It is a good introduction to data analytics techniques and methodologies. However, I think there is over-repetition of basic points which undermines the more subtle, yet significant, points.
Open new doors with Coursera Plus
Unlimited access to 10,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription
Advance your career with an online degree
Earn a degree from world-class universities - 100% online
Join over 3,400 global companies that choose Coursera for Business
Upskill your employees to excel in the digital economy
Frequently asked questions
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.
More questions
Financial aid available,