The Importance of Data Analytics in Modern Accountancy

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En provenance du cours de University of Illinois at Urbana-Champaign

Data Analytics Foundations for Accountancy I

6 notes

University of Illinois at Urbana-Champaign

Data Analytics Foundations for Accountancy I

6 notes

Welcome to Data Analytics Foundations for Accountancy I! You’re joining thousands of learners currently enrolled in the course. I'm excited to have you in the class and look forward to your contributions to the learning community. To begin, I recommend taking a few minutes to explore the course site. Review the material we’ll cover each week, and preview the assignments you’ll need to complete to pass the course. Click Discussions to see forums where you can discuss the course material with fellow students taking the class. If you have questions about course content, please post them in the forums to get help from others in the course community. For technical problems with the Coursera platform, visit the Learner Help Center. Good luck as you get started, and I hope you enjoy the course!

À partir de la leçon

Module 1: Foundations

This module serves as the introduction to the course content and the course Jupyter server, where you will run your analytics scripts. First, you will read about specific examples of how analytics is being employed by Accounting firms. Next, you will learn about the capabilities of the course Jupyter server, and how to create, edit, and run notebooks on the course server. After this, you will learn how to write Markdown formatted documents, which is an easy way to quickly write formatted text, including descriptive text inside a course notebook. Finally, you will begin learning about Python, the programming language used in this course for data analytics.

The Importance of Data Analytics in Modern Accountancy3:56

Rencontrer les enseignants

Robert Brunner
Professor
Accountancy

Hello, everyone. This lesson consists of several readings that

illustrate the importance of

data analytics in modern accountancy and business in general.

Some topics you should consider while you are reading

these articles include the following: First,

why are analytic skills so important to firms?

Part of the drive for courses, such as this one,

is that the firms that are hiring students are demanding that

students acquire skills that haven't been taught in the past.

Even more important than that,

the accreditation standards boards are now

requiring that a curriculum have to include these analytic skills.

So, these readings should hopefully demonstrate why this is so important that firms

now can expect students come out with certain analytic skills.

And you should, of course,

be looking at these readings and the rest of this course with

what are the types of analytic skills that are important and why,

and perhaps even more important,

how can I stay current as I grow in my career.

You will take this course,

you will learn to apply these skills in other courses,

but you are going to graduate and enter the workforce.

And as you do so,

you will need to stay abreast of current developments.

The field of machine learning is rapidly changing,

and the areas in which it is applied and how those applications will influence,

how your field and career grow are hard,

if not impossible, to predict.

Thus, you need to stay current and

continue to read and stay abreast of the latest developments.

This lesson consists of two different readings.

The first is eight short case studies

on accounting professionals employing data analytics in different areas.

And then there's a second article that talks about the ethics and how

to keep abreast of those and consider those in a machine-run world.

So, let me just quickly demonstrate the first reading,

which is business analytics case studies.

There are different ones listed here. They're all pretty short.

You can see, there are only a few paragraphs each,

but they all demonstrate different ways

that data analytics is important in different fields.

So, I think you'll probably find these interesting,

and these should give you a good feel for the breadth of application for data analytics.

The second reading is actually off of a blog.

And this is a great way to stay abreast.

And one of the reasons I wanted you to see this is not just this particular article,

but the fact that firms and individuals across the internet have blogs.

They have podcasts.

They have articles that are written and posted that demonstrate

new techniques and applications of

existing and new techniques in ways that might be novel.

So, this one particularly looks at who determines ethics in a machine-run world.

And if you think about it, more and more machines

are taking over tasks that humans have typically done,

and new jobs will emerge.

Some jobs will likely transform or go away.

And it's important to stay abreast of how

these changes are happening and how machines are impacting daily life.

So, this article steps into this,

and it should get you thinking about this.

And one of the things I would encourage you to do is to talk in the forum,

share with other students and

the instructional staff in the forums thoughts

you might have about any of these articles.

Having that sort of conversation is important.

It helps reinforce important topics and important points that should make it clear that,

you know, we're all in this together.

If you have any questions, let us know. Good luck.

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