Description
Python for Excel Course: Use xlwings for Data Science and Finance, Excel vs Python – What is the best tool for data science, business and finance? The answer is: use Excel and Python together and integrate both tools with xlwings. Get the best of both worlds! 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 codes in Excel and enhance your Excel projects! More and more professionals and developers use
- Excel as front end
- Python as an analytical backend.
This course is the best choice for
- Coders with Python experience: use Excel as a graphical user interface (GUI). Your Python scripts with Excel Run Present your results with Excel dashboards
- Excel users and complete Python beginners: strengthen your Excel projects with clean and powerful Python codes!
- Mixed Groups: Non-coders can run and use Python code simply by clicking buttons in Excel.
Why take this course?
- You will learn and master the xlwings library from scratch
- For Excel users and complete Python beginners: This course includes a Python crash course made just for you!
- This is the most comprehensive and practical xlwings training course on the web
- It covers three comprehensive real-world projects.
- Project 1: You will learn how to enhance your financial model in Excel by adding Monte Carlo Python simulation – run your Excel calculation 10,000 times with different input sets and analyze the results!
- Project 2: You will learn to create stock dashboard applications like Bloomberg with Excel (GUI) and Python (Analytical Backend).
- Project 3: You will learn how to use Pandas methods and functions in your dataset directly in Excel.
Why use Excel? There is no better GUI and reporting tool than Excel. Excel is
- Widely (750 million users)
- Standardized
- Intuitive to use
- Most users are well trained
- Needs a low/zero setting
- Requires low/zero maintenance
- And it’s still the best choice for financial models and spreadsheet calculations
Why use Python? With hundreds of powerful libraries, Python is the first choice for data science, machine learning, and advanced analytics in business and finance. The Python ecosystem is much more powerful and versatile than VBA. And learning and applying it is cleaner and easier!
Why learn and master xlwings? xlwings is a great tool for integrating Excel and Python! xlwings lets you do that
- Automate Excel from Python to generate reports or interact with Jupyter notebooks.
- Write macros in Python that you can run from Excel buttons, for example to load data from a database or an external API.
- Write UDFs (User Defined Functions) and use the power of NumPy, Pandas and machine learning libraries.
- Use the Python science stack for interactive data analysis using Jupyter notebooks, NumPy, Pandas, scikit-learn, and more.
- Use xlwings to automate Excel reports with Python.
- Write Excel tools in Python instead of VBA, and call your code directly from within Excel, for example via a button on a sheet.
- It also works great for prototyping web applications.
- Write UDFs (arrays) quickly using all the features available in libraries like NumPy and Pandas.
- Dynamic array formulas are supported.
What you will learn in the Python for Excel: Use xlwings for Data Science and Finance course
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Automate Excel with clean and powerful Python code
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Learn and master the xlwings library from 0 to 100
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Use Excel as a graphical user interface (GUI) and run your Python code with Excel
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Creating powerful dashboard applications with Excel (frontend) and Python (backend)
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Use powerful data visualization tools (Matplotlib, Seaborn) in Excel
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Learn Python from scratch with a crash course created by Taylor (for Python beginners)
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Write UDFs (User Defined Functions) and use Numpy, Pandas and Machine Learning libraries directly in Excel.
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Write Excel tools in Python instead of VBA and call your code directly from within Excel
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Use xlwings to automate Excel reports with Python
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Prototype web applications
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Write and use dynamic arrays with xlwings
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Run your financial model 10,000 times and more with Python Monte Carlo simulation
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Load (financial) data from web APIs directly into Excel
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Run Python scripts from within Excel with Run main and RunPython
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Replace VBA macros with clean and powerful Python code
This course is suitable for people who
- Data scientist and finance professionals looking to use Excel as frontend and Python as analytical backend in their projects.
- Excel professionals looking to write Excel tools in clean Python code instead of VBA/Marcos.
- Python beginners are welcome as this course includes a Python crash course designed for Excel professionals.
- Python developers looking to work with Excel as a graphical user interface (GUI).
Details of the course Python for Excel: Use xlwings for Data Science and Finance
- Publisher: Udemy
- teacher: Alexander Hagmann
- Training level: beginner to advanced
- Training duration: 16 hours
- Number of courses:
Course topics on 3/2024
Python for Excel course prerequisites: Use xlwings for Data Science and Finance
- A desktop computer (Windows or Mac) capable of storing and running Python/Anaconda.
- The course will walk you through installing the necessary free software.
- An internet connection capable of streaming HD Videos.
- A working installation of Microsoft Excel.
- Mac users are welcome. Please note that 10%-15% of the course content (UDFs) work on Windows only!
- Willingness to code and work with Python.
Python for Excel course images: Use xlwings for Data Science and Finance
Sample video of the course
Installation guide
After Extract, view with your favorite Player.
English subtitle
Quality: 720p
download link
File(s) password: www.downloadly.ir
Size
4.6 GB
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