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).
Dieser Kurs ist Teil der Spezialisierung Spezialisierung Accounting Data Analytics
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Über diesen Kurs
Was Sie lernen werden
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.
Kompetenzen, die Sie erwerben
- Python Programming
- Data Visualization (DataViz)
- Linear Regression
- SQL
- Data Preparation
Beginnen Sie damit, auf Ihren Master-Abschluss hinzuarbeiten.
Lehrplan - Was Sie in diesem Kurs lernen werden
INTRODUCTION TO THE COURSE
MODULE 1: FOUNDATIONS
MODULE 2: INTRODUCTION TO PYTHON
MODULE 3: INTRODUCTION TO PYTHON PROGRAMMING
MODULE 4: PYTHON PROGRAMMING
Bewertungen
- 5 stars56,16 %
- 4 stars26,02 %
- 3 stars6,84 %
- 2 stars8,21 %
- 1 star2,73 %
Top-Bewertungen von ACCOUNTING DATA ANALYTICS WITH PYTHON
It is very easy to learn and also very interesting because you can modify and try other things.
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.
very useful and important to computer science engineering students
Über den Spezialisierung Accounting Data Analytics

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Wann erhalte ich Zugang zu den Vorträgen und Aufgaben?
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