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 to 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 improve your Excel projects! More and more professionals and developers are using
- Excel as frontend
- Python as an analytical backend.
This course is the best choice for
- Programmers with Python experience: Use Excel as a graphical user interface (GUI). Run your Python scripts with Excel. Present your results with Excel dashboards.
- Excel users and absolute Python beginners: Empower your Excel projects with clean and powerful Python codes!
- Mixed groups: Non-programmers can run and use Python code by simply clicking buttons in Excel.
Why take this course?
- You will learn and master the xlwings library from scratch
- For Excel users and absolute Python beginners: This course includes a Python crash course created especially for you!
- This is the most comprehensive and practical xlwings training course on the Internet.
- It includes three comprehensive real-world projects.
- Project 1: You will learn how to improve your financial model in Excel by adding a 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 build stock dashboard applications like Bloomberg using 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 used (750 million users)
- standardized
- Intuitive to use
- Most users are well trained
- Requires a low/zero setting
- Requires little/no maintenance
- And it’s still the best choice for financial models and spreadsheets.
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 it’s cleaner and easier to learn and use!
Why learn and master XLwings? xlwings is a great tool for integrating Excel and Python! With xlwings you can do just that
- Automate Excel from Python to create 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 leverage the power of NumPy, Pandas, and machine learning libraries.
- Use the Python science stack for interactive data analysis with 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 Excel, for example via a button on a sheet.
- It is also great for prototyping web applications.
- Quickly write UDFs (arrays) using all the features available in libraries such as NumPy and Pandas.
- Dynamic array formulas are supported.
What you will learn in the Python for Excel: Using 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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Create 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 in Excel
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Use xlwings to automate Excel reports with Python
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Prototypical web applications
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Write and use dynamic arrays with xlwings
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Run your financial model 10,000 times or 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 in 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 scientists and finance professionals who want to use Excel as a frontend and Python as an analytical backend in their projects.
- Excel professionals who want to write Excel tools in clean Python code instead of VBA/Marcos.
- Python beginners are welcome as this course includes a Python crash course for Excel pros.
- Python developers who want to work with Excel as a graphical user interface (GUI).
Details of Python for Excel Course: Use xlwings for Data Science and Finance
- Editor: Udemy
- Lecturer: Alexander Hagmann
- Training level: beginner to advanced
- Training duration: 16 hours
- Number of courses:
Course topics on 3/2024
Course Prerequisites for Python for Excel: Use xlwings for Data Science and Finance
- A desktop computer (Windows or Mac) that can store and run Python/Anaconda.
- The course guides you through installing the required free software.
- An internet connection that can stream HD video.
- A working installation of Microsoft Excel.
- Mac users are welcome. Please note that 10-15% of the course content (UDFs) only works on Windows!
- Willingness to program and work with Python.
Python for Excel Course Images: Use xlwings for Data Science and Finance
Sample video of the course
installation Guide
After extracting, you can watch it with your favorite player.
English subtitles
Quality: 720p
Download link
free download software
Size
4.6GB