Python for Excel: Use xlwings for Data Science and Finance
Python for Excel: Use xlwings for Data Science and Finance
Integrate Excel and Python and get the best of two Worlds! Python Beginners welcome. Use Pandas, Seaborn & co. in Excel
Product Brand: Udemy
4.5
Pros
- Automation: Python can automate a lot of work.
- Data connectivity: Python can connect to cloud-based data.
- Flexibility: Python is highly flexible and customizable.
- Data importing and manipulation: Python can read any type of data, including structured and unstructured data.
- Security features: Python code in Excel runs on the Microsoft Cloud, providing enterprise-level security.
- Team collaboration: It's easier to share workbooks that contain Python code.
Cons
- Learning curve: Python has a steeper learning curve than Excel.
- Programming skills: Python requires programming skills and knowledge of Python language and libraries.
- Real-time data analysis: Python in Excel doesn't natively support real-time data analysis.
Udemy Coupon Code for Python for Excel: Use xlwings for Data Science and Finance Course. Integrate Excel and Python and get the best of two Worlds! Python Beginners welcome. Use Pandas, Seaborn & co. in Excel
Created by Alexander Hagmann | 29.5 hours on-demand video course | 7 downloadable resources
Microsoft Excel Course Overview
Python for Excel: Use xlwings for Data Science and Finance
With xlwings, you can use Python Data Science libraries like Numpy, Pandas, Scipy, Matplotlib, Seaborn, and Scikit-learn directly in Excel! You can run Python code in Excel and boost your Excel projects! More and more Professionals and Developers use Excel as Frontend and Python as analytical Backend.
What you’ll learn
- Automate Excel with clean and powerful Python Code
- Learn and master the xlwings library from 0 to 100
- Use Excel as Graphical User Interface (GUI) and run your Python code with Excel
- Create powerful Dashboard Apps with Excel (frontend) and Python (backend)
- Use powerful Data Visualization Tools (Matplotlib, Seaborn) in Excel
- Learn Python from scratch with a taylor-made Crash Course (For Python beginners)
- Write UDFs (user defined functions) and use Numpy, Pandas and Machine Learning Libraries directly in Excel
- Write Excel tools with Python instead of VBA and call your code directly from within Excel
- Use xlwings to automate Excel reports with Python
- Prototype Web apps
- Write and use Dynamic Arrays with xlwings
- Run your financial model 10,000 times & more with a Python Monte Carlo Simulation
- Load (financial) data from Web APIs directly into Excel
- Run Python Scripts from within Excel with Run main and RunPython
- Replace VBA macros with clean and powerful Python code
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Who this course is for:
- Data Scientist and Finance Professionals seeking to use Excel as Frontend and Python as analytical Backend in their Projects.
- Excel professionals seeking to write Excel tools with clean Python code instead of VBA/Marcos.
- Python Beginners are welcome as the course includes a Python Crash Course designed for Excel Professionals.
- Python Developers seeking to work with Excel as GUI (Graphical User Interface).
