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Create Forecasting Models using Excel and Machine Learning
Forecasting is an important area of focus for businesses in general across a range of functions:
For instance, you can have finance teams forecasting costs, sales teams forecasting revenues, or engineering teams forecasting developer-hours and bug burn downs, etc.
In addition, business data often flows through Excel – arguably, Excel is the most widely used tool for business analytics and forecasting.
Finally, with the increased importance of Data Science and Machine Learning and the increasing complexity of business data, Business Analysts have taken to more sophisticated methods to do forecasting.
Thus, the importance of exploring how to incorporate more sophisticated forecasting models within Excel workflows.
The goal of this post is to share a few ideas and tips on how to super-charge your skillsets – in Excel and Machine Learning - to increase your forecasting efficiency.
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