Time Series Analysis with Python

with Viktor Mehandzhiyski


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.

89 lessons 7h
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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 relevant models and 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 


Student feedback


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Very good introduction to time series analysis and forecasting using Python. There is a balance presentation between theoretical part and practical part (python). Hope you are going to have more advance in time series analysis such as multivariate time series analysis (VAR, VECM), non-linear model or non-stationary panel data, etc. in the future.
Brilliant course covers everything as I am a junior analyst working with support team for commodities trading. Crucial information for Quants analysis is given here which is what I needed!
Are there slides or transcripts so I can copy and past code into Jupyter rather than switching windows? I don't always have two screens available.
Course is great overall but the quizzes could use some work as some are confusing and answers are ambiguous
Wow, An Excellent Course with detailed explanation of time series models and its implementation in Python.
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“Time series lies at the intersection of two favorite topics of mine - 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 - you'll find it all here!”

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

with Viktor Mehandzhiyski

Start Course