Time Series Analysis with Python

Introducing you to the world of time series and exploring how to utilize Python in order to analyze and model such data. We will also discuss volatility and making forecasts about the future.

with Viktor Mehandzhiyski

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Course Overview

Data Science mainly relies on working with two types of data - cross-sectional and time series. This course will help you master the latter by introducing you to the ARMA, seasonal, integrated, MAX and volatility models, as well as show you how to forecast them into the future.

89 High Quality Lessons
59 Practical Tasks
7 Hours of Video
Certificate of Achievement

Skills you will gain

data analysisdata processingprogrammingpythontheory

What You'll Learn

This course will introduce you to the time series type of data in data science. It will help you master the related models and the respective forecasting technologies.

Distinguish between time series and cross-sectional data 
Create a time series object in Python 
Examine and visualize some important types of time series 
Learn the rules of manual model selection 
Work with different time series models 
Make forecasts about the future 


“Time series is exactly at the intersection of my favorite two topics - finance and data science. In this course, we will provide you with all the tools you need to analyze sequential data. Theory, Modeling: AR to SARIMAX, Vector Models, GARCH, Auto ARIMA, Forecasting - everything is inside the course!”

Viktor Mehandzhiyski
Content Creator at 365 Data Science
Time Series Analysis with Python

with Viktor Mehandzhiyski

Start Course