Solving time series problems are among the most challenging in data science.
One reason why that’s the case is that there are many library choices, given that there are several excellent programming languages for data science like R and Python.
While one model may be excellently suited to one problem, the tables may turn abruptly in a different scenario, and the same solution may no longer be the most optimal.
By taking the best time series analysis courses online, you’ll learn how to choose appropriate libraries for a given problem. A proper understanding of time series will also enable you to better clean data, and filter out noise in data sets, thereby enabling you to make precise predictions.
In this guide, we’ll discuss the best time series analysis courses online in 2022 that will enable you to build highly accurate forecasting models.
Let’s get started.
Do you prefer learning time series analysis in Python?
If that’s the case, you’ll be well-served by the Python for Time Series Data Analysis training on Udemy by Jose Portilla. This tutorial covers how to use Pandas with time-series data, for both manipulation and visualization.
If R is more of your forte, the Introduction to Time Series Analysis and Forecasting in R course on Udemy by R-Tutorials Training is one of the best time-series courses online you could take. It’ll show you how to calculate time and date-based data, in addition to teaching how to clear your time series data.
While that’s it for my review of the best time series analysis courses online, there are still plenty of other great learning options in adjacent fields. Check out my review of the best signal processing courses to learn how to put your newfound, time-series analytics skills to good use.