Data Analytics Foundations for Accountancy I

( 5 Reviews )

Created by: Robert Brunner

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Overall Score : 88 / 100

Course Description

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!

Time: 50h

Instructor Details

Robert Brunner

4.4 Rating
5 Reviews

Robert J. Brunner is a professor in the School of Information Sciences and in the Department of Accountancy in the College of Business. He has affiliate appointments in the Astronomy, Computer Science, Electrical and Computer Engineering, Informatics, Physics, and Statistics Departments; at the Beckman Institute, in the Computational Science and Engineering program; and at the National Center for Supercomputing Applications. He is also the Data Science Expert in Residence at the Research Park at the University of Illinois. His primary research goal focuses on the application of statistical and machine learning to a variety of real-world problems, and in making these efforts easier, faster, and more precise. This work spans fundamental algorithm design to more effectively incorporate uncertainty to optimization using novel computational technologies. More generally, Brunner helps lead efforts to promote data science across campus and to encourage effective data management, analysis, and visualization techniques. Brunner earned his PhD in astrophysics at the Johns Hopkins University working under Alex Szalay on the development of the science archive for the Sloan Digital Sky Survey. His PhD thesis helped develop the statistical approach to quantifying galaxy evolution, where large data are used to place constraints on the original and evolution of the Universe. He subsequently spent five years as a postdoctoral scholar at the California Institute of Technology working under S.

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By Satish V on 2-Oct-19

Nice way to get started on the career path of Data Analytics. Thank you Prof. Brunner.

By Shahnawaz H on 27-Sep-19

One of the most under-rated courses on Coursera. It really tests you and forces you to learn, albeit at your own pace, depending on whether you're a beginner or an expert in the subject. It really opens up an entirely new world for accountants.

By Akansha K on 27-Jul-19

This is a great course to expose you to a lot of different topics. I've gotten more comfortable with Python, and have a number of topics to draw from when thinking through how to analyze financial data. This is a must if you want to become a better analyst.

By Justin A B on 7-Apr-18

Amazing course in terms of design, content. I was badly searching for a course in Data Analytics for Accounting Professionals. This course fits the right content needed to start of ones basics in learning Python and then seamlessly integrates into Accounting Profession. Thanks to amazing professor, he makes the solid content look easy to grasp.

By Klever M on 6-Aug-19

Little instruction occurs during this course - basically you will teach yourself from an intermediate-level smattering of lessons, the quizzes cover topics not covered in the materials, assignments appear to contain errors, and there is effectively no support from the teacher or assistants.. the vast majority of questions are unanswered. Poor execution of what otherwise appears to be worthwhile content and material.. if you get stuck, you are toast! I would be embarrassed if I were a University of Illinois alumni. To those charged with oversight: you need to adequately support this course in its current format or redevelop.