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
This course is part of Data Analysis and Presentation Skills: the PwC Approach Specialization
Instructor: Alex Mannella
193,352 already enrolled
(6,117 reviews)
Skills you'll gain
- Analytical Skills
- Data Analysis Software
- Information Management
- Business Analytics
- Strategic Decision-Making
- Statistics
- Extract, Transform, Load
- Interactive Data Visualization
- Data Processing
- Data Analysis
- Data Visualization Software
- Data Engineering
- Data-Driven Decision-Making
- Data Science
- Statistical Methods
- Statistical Analysis
- Data Presentation
- Business Intelligence
- Analytics
- Big Data
Details to know
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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
Offered by
Recommended if you're interested in Data Analysis
Duke University
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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
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
Reviewed on Oct 13, 2019
Great course for would be management analyst or those wanting to have a deeper look into the profession. PwC offers a concise and practical methodology useful in today's fast and data rich world.
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