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.
MF
Great introductory Python course with alot of knowledge that can be applied to your every day job.
NJ
It is very easy to learn and also very interesting because you can modify and try other things.
SK
Great program for beginners in python programming
AK
A great course for someone who is just starting with Python. The materials are well designed.
PG
Extremely useful to get first hands on Python analytics and to build on the acquired skills. Highly recommended!
SM
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.
JG
Perfect to start, they focus on teach the basics true it is up to you if you want to practice and learn more
SA
very useful and important to computer science engineering students
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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.
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.
Great beginner's course for python!
Great program for beginners in python programming
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.
The labs are not good. It would be way better to organize the whole course more like course #1 with more videos. This course seemed more like a really cheap one compared to the first.
helpfull and good
The assignment for each module can be designed better and more accurate
Extremely useful to get first hands on Python analytics and to build on the acquired skills. Highly recommended!
Great introductory Python course with alot of knowledge that can be applied to your every day job.
It is very easy to learn and also very interesting because you can modify and try other things.
A great course for someone who is just starting with Python. The materials are well designed.
very useful and important to computer science engineering students
nice experience
I believe within the limited time duration of this course, it has done great to provide students some exposure to data manipulation/ data wrangling but definitely it doesn't touch on how completing this course can benefit Accounting students... Perhaps other courses in this specialisation will tap into that. I'm quite sure that course creator has put a lot of thought into this, to see what they should introduce to students but a lot of googling and self-taught are required for those who want to complete this course. Learning this course can help you identify what each of your coding do to your results, so I think it is a great start. After this course, I think I still need to read more about Python and practice more. But great course.
Very Unreasonably difficult. Total waste of money. And they will not assist you whenever you have a problem.
I'm glad to finish this course, you will get the basics you need to analyze data in python one of most Populaire software for data analysis...and I think accountant should add this program (not all I mean just what they need) to their tools belt )
An amazing course! One which is mixed with basics and advanced concepts. This is a course that puts you up there even if you had no knowledge on python for analytics. Great tutorials by Lecturer Ronald Guymon. I highly recommend.
Great course with superb
professors! I will say that you would discover a wole different world around data preparation, maipulation ans its application. Fascinated with this. However, it requires effort and sacrifice.
Perfect to start, they focus on teach the basics true it is up to you if you want to practice and learn more