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 two 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 code in Excel and boost your Excel projects! More and more Professionals and Developers use
This course is the perfect choice for
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 that is tailor-made for you!
It´s the most comprehensive and practical (hands-on) xlwings course on the web
It covers three comprehensive real-world projects.
Project 1:You will learn how to boost your financial model in Excel by adding a Python Monte Carlo Simulation - Run your Excel calculation 10,000 times with different sets of inputs and analyze the results!
Project 2: You will learn how to create Bloomberg-like Stock Dashboard Apps with Excel (Graphical User Interface) and Python (analytical Backend).
Project 3: You will learn how to use Pandas methods and functions on your datasets directly in Excel.
Why use Excel?
There is no better Graphical User Interface (GUI) and Reporting tool than Excel.Excel is
widely spread (750 million users)
standardized
intuitive to use
most users are well-trained
it requires low/zero set up
it requires low/zero maintenance
and it´s still the best choice for financial models & 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 way more powerful and versatile than VBA. And it´s cleaner and easier to learn and apply!
Why learn and master xlwings?
xlwings is the perfect tool to integrate Excel and Python! xlwings allows you to
Automate Excel from Python e.g. to produce reports or to interact with Jupyter Notebooks.
Write macros in Python that you can run from buttons in Excel, e.g. to load in data from a database or an external API.
Write UDFs (user-defined functions) and leverage the power from NumPy, Pandas and machine learning libraries.
Leverage Python's scientific stack for interactive data analysis using Jupyter Notebooks, NumPy, Pandas, scikit-learn, etc.
Use xlwings to automate Excel reports with Python.
Write Excel tools with Python instead of VBA and call your code directly from within Excel, e.g. via a button on the sheet.
This also works great for prototyping web apps.
Write (array) UDFs in a breeze by taking advantage of all the functionality already available in libraries like NumPy and Pandas.
Dynamic array formulas are supported.
As always, there is no risk for you as I offer a 30-Days-Money-Back-Guarantee. Looking forward to seeing you in the course!
(Mac users are welcome! However, please note that 10%-15% of the course content (UDFs) is currently not available on Mac!)
