Bitcoin Analysis with Python and Facebook Prophet
Learn how to forecast time series data and make accurate predictions with Python. This online course covers Statsmodels, Pandas, NumPy, and more. Perfect for Python developers and professionals interested in demand forecasting and time series analysis.
What you’ll learn
- Use Statsmodels to Analyze Time Series Data
- Pandas for Data Manipulation
- Pandas for Data Visualization
- NumPy and Python for Numerical Processing
Bitcoin Analysis with Python and Facebook Prophet
Welcome to the most exciting online course about Forecasting Models in Python. I will show everything you need to know to understand the now and predict the future.
Forecasting is always awesome – knowing what will happen usually drops jaws and earns admiration. On top, it is fundamental in the business world. Companies always provide Revenue growth and EBIT estimates, which are based on forecasts. Who is doing them? Well, that could be you!
It is fundamental that you know why a model makes sense and the underlying assumptions behind it. I will explain to you each model using words, graphs, and metaphors, leaving math and the Greek alphabet to a minimum.
WE CODE TOGETHER LINE BY LINE
I will guide you through every step of the way. I will also explain all parameters and functions that you need to use, step by step.
THE FINAL REASON IS THAT YOU PRACTICE, PRACTICE, PRACTICE.
For each algorithm, there is a challenge. This means that each technique has 2 case studies. The goal is that you apply immediately what you have learned. I give you a dataset and a list of actions you need to take to solve it. I think it is the best way to really cement all the techniques in you.
Who this course is for:
- Python Developers interested in learning how to forecast time series data
- Professionals looking to learn about Demand Forecasting and Time Series
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