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Вернуться к Accounting Data Analytics with Python

Отзывы учащихся о курсе Accounting Data Analytics with Python от партнера Иллинойсский университет в Урбане-Шампейне

Оценки: 33
Рецензии: 9

О курсе

This course focuses on developing Python skills for assembling business data. It will cover some of the same material from Introduction to Accounting Data Analytics and Visualization, but in a more general purpose programming environment (Jupyter Notebook for Python), rather than in Excel and the Visual Basic Editor. These concepts are taught within the context of one or more accounting data domains (e.g., financial statement data from EDGAR, stock data, loan data, point-of-sale data). The first half of the course picks up where Introduction to Accounting Data Analytics and Visualization left off: using in an integrated development environment to automate data analytic tasks. We discuss how to manage code and share results within Jupyter Notebook, a popular development environment for data analytic software like Python and R. We then review some fundamental programming skills, such as mathematical operators, functions, conditional statements and loops using Python software. The second half of the course focuses on assembling data for machine learning purposes. We introduce students to Pandas dataframes and Numpy for structuring and manipulating data. We then analyze the data using visualizations and linear regression. Finally, we explain how to use Python for interacting with SQL data....

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1–9 из 9 отзывов о курсе Accounting Data Analytics with Python

автор: S. U

31 мая 2020 г.

I enjoyed the course overall and finished, but feel like it could be soooo much better. Really a wasted opportunity here. The video explanations were solid, but not near detailed enough to feel comfortable doing the exercises. Many of the Jupyter notebook sections were simply a lot of reading, no chances for the students to get some hands-on experience with actual coding. And lack of instruction plagued too many the exercises. This could be an outstanding course if more time was spent on going over more of the content in greater detail and building out the exercises.

автор: Chris A

11 янв. 2020 г.

Course had good content, but lacked significantly in teaching videos and and feedback. Lack of feedback included was within Jupyter Notebook (reading and programming assignments) and Discussion Boards. Course took a lot longer to complete because of lack of feedback, requiring me to find outside sources (i.e., YouTube videos, internet articles, WikiPedia, etc.) to learn concepts presented in course and to complete required programming assignments. Quiz content was well-supported within course content.

автор: Minjeong K

1 мая 2020 г.

Great beginner's course for python!

автор: Sanjay K

3 июля 2020 г.

Great program for beginners in python programming

автор: Truong T T H

1 сент. 2020 г.

This is just a basic Python programming course without any details regarding to accounting. It is better to change the name of "Python Basic" to make us not get confused.


1 дек. 2020 г.

It is very easy to learn and also very interesting because you can modify and try other things.

автор: Nyam-Ochir B

13 авг. 2020 г.

nice experience

автор: Sabarinathan M

28 июня 2020 г.

Really Nice course but you will not explain all the module very indepth. All the module are basic and easy to learn. I am very happy to completed this course.

автор: Siyu L

17 авг. 2020 г.

The assignment for each module can be designed better and more accurate