About this course: 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.
Created by: PwC
Taught by: Alex Mannella, Alumni / Former Principal
| Basic Info | Course 1 of 5 in the Data Analysis and Presentation Skills: the PwC Approach Specialization |
| Level | Beginner |
| Language | English, Subtitles: Japanese |
| How To Pass | Pass all graded assignments to complete the course. |
| User Ratings |
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.
12 videos, 8 readings
- Video: Welcome to Data Driven Decision Making
- Reading: Course overview and syllabus
- Reading: Updating your profile
- Discussion Prompt: Get to know your classmates and share your goals
- Video: What is Data Analytics?
- Video: Solving business problems using data analytics
- Reading: The value delivered by analytics
- Video: Making business-defining decisions using data analytics
- Reading: PwC's Global Data and Analytics Survey 2016
- Video: A Message from our Chief People Officer at PwC
- Video: Why do you need a data and analytics framework?
- Video: The 4 aspects of the data and analytics framework
- Reading: The data and analytics framework
- Video: Data and analytics framework: tools and techniques
- Reading: Types of analytics
- Video: Make better and faster decisions with data and analytics
- Discussion Prompt: Making better and faster decisions
- Video: Data and analytics at PwC
- Reading: Careers and roles in a professional services firm
- Video: Week 1 recap with Amity and Mike
- Reading: Learn more about PwC and our career opportunities
Graded: Week 1 Quiz
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.
7 videos, 3 readings
- Discussion Prompt: Predicting the implications of technology advancements
- Video: Business impacts of technology advancements and data trends
- Discussion Prompt: What technology advacements have changed your behaviors?
- Video: What is Big Data?
- Reading: "Structured", "Semi-Structured", and "Unstructured" data
- Reading: Implications of unstructured data - Case studies
- Video: PwC's perspective on big data
- Video: Data and analytics examples at PwC
- Discussion Prompt: Data in action discussion
- Video: Identifying, organizing and processing data
- Reading: Data tools and technologies
- Discussion Prompt: What is the value you can expect from emerging trends in big data?
- Video: Week 2 recap with Amity and Mike
Graded: Week 2 Quiz
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.
9 videos, 1 reading
- Reading: Data analysis approaches and techniques
- Video: The role of Excel
- Video: The role of SAS
- Video: The role of R
- Video: The role of Python
- Video: The Power of Visualization
- Video: The role of Tableau
- Video: The role of QlikView
- Discussion Prompt: What tools have you used?
- Video: Week 3 recap with Amity and Mike
Graded: Week 3 quiz
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.
2 videos, 2 readings
- Reading: Final course simulation
- Video: Course recap with Amity and Mike
- Reading: Learn more about PwC and our career opportunities
Graded: Final course simulation quiz
Graded: Final Project and Peer Review with Feedback
FAQs
How It Works
Coursework
Each course is like an interactive textbook, featuring pre-recorded videos, quizzes and projects.
Help from Your Peers
Connect with thousands of other learners and debate ideas, discuss course material, and get help mastering concepts.
Certificates
Earn official recognition for your work, and share your success with friends, colleagues, and employers.
Creators
PwC
With offices in 157 countries and more than 208,000 people, PwC is among the leading professional services networks in the world. Our purpose is to build trust in society and solve important problems. We help organisations and individuals create the value they’re looking for, by delivering quality in assurance, tax and advisory services.
Pricing
| Purchase Course | |
|---|---|
| Access to course materials | Available |
| Access to graded materials | Available |
| Receive a final grade | Available |
| Earn a shareable Course Certificate | Available |
Ratings and Reviews
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Great course for new comers but not very much information, just an overview
Nicely summarized contents on Big data analytics
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SS
Tools like Tableau , Qlikview, SAS etc should have more content.