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
Data-driven Decision Making
This course is part of Data Analysis and Presentation Skills: the PwC Approach Specialization
Instructor: Alex Mannella
Sponsored by Louisiana Workforce Commission
193,045 already enrolled
Gain insight into a topic and learn the fundamentals.
4.6
(6,114 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
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Assessments
4 assignments
Taught in English
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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.
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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
Instructor
Instructor ratings
4.7 (628 ratings)Offered by
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4.6
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JJ
5
Reviewed on Nov 13, 2018
What an excellent laid out course curriculum. Bite size learning, various mediums, understandable concepts applied to real life business cases made for a 100% take away and applied knowledge. We
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
FP
4
Reviewed on Apr 3, 2018
Excellent course for beginners or currently professionals in the world of data management. Everything that we do generates data nowadays so I will recommend everyone to take this educative course.
Recommended if you're interested in Data Science
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