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).
This course is part of the Accounting Data Analytics Specialization
About this Course
What you will learn
Know how to operate software that will help you create and run Python code.
Execute Python code for wrangling data from different structures into a Pandas dataframe structure.
Run and interpret fundamental data analytic tasks in Python including descriptive statistics, data visualizations, and regression.
Use relational databases and know how to manipulate such databases directly through the command line, and indirectly through a Python script.
Skills you will gain
- Python Programming
- Data Visualization (DataViz)
- Linear Regression
- Data Preparation
Start working towards your Master's degree
Syllabus - What you will learn from this course
INTRODUCTION TO THE COURSE
MODULE 1: FOUNDATIONS
MODULE 2: INTRODUCTION TO PYTHON
MODULE 3: INTRODUCTION TO PYTHON PROGRAMMING
MODULE 4: PYTHON PROGRAMMING
- 5 stars57.33%
- 4 stars25.33%
- 3 stars6.66%
- 2 stars8%
- 1 star2.66%
TOP REVIEWS FROM ACCOUNTING DATA ANALYTICS WITH PYTHON
very useful and important to computer science engineering students
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.
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.
About the Accounting Data Analytics Specialization
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