Week 3 recap with Amity and Mike

Loading...

From the course by PwC

Data-driven Decision Making

2471 ratings

PwC

Data-driven Decision Making

2471 ratings

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

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.

From the lesson

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.

The Power of Visualization3:41

The role of Tableau5:01

The role of QlikView4:46

Week 3 recap with Amity and Mike2:22

Meet the Instructors

Alex Mannella
Alumni / Former Principal

[MUSIC]

Welcome back.

You've just finished week three, nice job sticking with it.

This week was more intense and really went into more details

on the different types of data and analytic techniques and

some of the tools that are used to analyze and visualize data.

>> You started off the week hearing Laurie talk about and

share examples of the different types of analysis techniques that we use to help

solve problems for our client.

You had the opportunity to download the interactive PDF

that gives an overview of each technique.

Keep this and reference it whenever you need it.

Being able to distinguish between these techniques and

knowing what techniques can help you answer your data questions

will help you distinguish yourself from your peers.

You also heard Laurie, Eddie, Amy, and

Rammy talk about quite a few different tools that we use here at PWC.

There are so many different tools out there that can help you perform different

tasks and solve different types of problems.

Mike, as our Chief People Officer, how can a person know all of these tools?

>> Great question, Amity.

At PWC we don't expect you to come in knowing every tool, but

having the base data and analytic skills, and knowing what tools exist and

what they can do, can set you apart.

That's why we're focused on giving you a high level overview of some of the tools

used today for data and analytics.

We know technology and tools are constantly evolving, but knowing one or

two tools very well will help you to be able to learn additional data and

analytics tools in the future.

That's one reason why courses two and

three cover commonly used tools like Excel.

It doesn't matter what role you have in business, it's likely you're going to need

to work with data and perform analyses, extract insights.

>> Absolutely.

You'll find most companies use these tools all over the world to capture and

analyze all kinds of data.

>> Next week, you're going to take everything you've learned in this course

and apply it in a simulation and in the course project.

We'll share more details when we kick off next week.

[MUSIC]

Explore our Catalog

Join for free and get personalized recommendations, updates and offers.

Coursera provides universal access to the world’s best education, partnering with top universities and organizations to offer courses online.

© 2018 Coursera Inc. All rights reserved.

Download on the App Store

Get it on Google Play