Python for Time Series – Data Analysis & Forecasting

Python for Time Series – Data Analysis & Forecasting, Learn Python for Time Series – Learn Python libraries for Time Series analysis and forecasting.

Welcome to the Python for Time Series – Data Analysis & Forecasting course. This course is built for students who want to learn python applications for time series data sets. This course covers the usage of Python libraries on time series data. There will be both short lectures on statistics and Python fundamentals at the start of the course in order to remember the basics. Then the libraries of Python which is used for time series data will be covered. At the end of the course analysis and forecast is going to be made from the gold prices data set for practicing what is learned in the course for one more time. So the course outline is:

1. Statistics Fundamentals
2. Python Fundamentals
3. Pandas Introduction
4. Usage of Python Libraries for Time Series Data
5. Time Series Project

After taking this course you will be able to use Pandas library for Time Series Data, check for seasonality for Time Series Data, do a Dickey-Fuller test (test for stationary) for Time Series Data, build an ARIMA model for Time Series Data and build a Time Series project completely. If you are interested in Python for Time Series, you can enroll in my course. You can reach out to me about the course every time from the Q&A section of the course on Udemy.