Udemy

Complete Time Series Analysis With Python

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  • 6,824 Students
  • Updated 11/2025
4.5
(1,097 Ratings)
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Course Information

Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
4 Hour(s) 22 Minute(s)
Language
English
Taught by
Minerva Singh
Rating
4.5
(1,097 Ratings)
4 views

Course Overview

Complete Time Series Analysis With Python

Python Time Series: How To Use Data Science, Statistics & Machine Learning For Modelling Time Series Data in Python

THIS IS YOUR COMPLETE GUIDE TO TIME SERIES DATA ANALYSIS IN PYTHON!

This course is your complete guide to time series analysis using Python. So, all the  main aspects of analyzing temporal data will be covered n depth..

If you take this course, you can do away with taking other courses or buying books on Python based data analysis.  

In this age of big data, companies across the globe use Python to sift through the avalanche of information at their disposal. By becoming proficient in in analysing time series data in Python, you can give your company a competitive edge and boost your career to the next level.

                                                       

LEARN FROM AN EXPERT DATA SCIENTIST  WITH +5 YEARS OF EXPERIENCE:

Hey, my name is Minerva Singh and I am an Oxford University MPhil (Geography and Environment) graduate. I recently finished a PhD at Cambridge University.

I have +5 years of experience in analyzing real life data from different sources  using data science related techniques and i have produced many publications for international peer reviewed journals.

 Over the course of my research I realised almost all the Python data science courses and books out there do not account for the multidimensional nature of the topic .

So, unlike other instructors, I dig deep into the data science features of R and gives you a one-of-a-kind grounding in data science related topics!

You will go all the way from carrying out data reading & cleaning  to to finally implementing powerful statistical and machine learning algorithms for analyzing time series data.

Among other things:

  • You will be introduced to powerful Python-based packages for time series analysis.

  • You will be introduced to both the commonly used techniques, visualization methods and machine/deep learning techniques that can be implemented for time series data.

  • & you will learn to apply these frameworks to real life data including temporal stocks and financial data.  

NO PRIOR PYTHON OR STATISTICS/MACHINE LEARNING KNOWLEDGE IS REQUIRED!

You’ll start by absorbing the most valuable Python Data Science basics and techniques. I use easy-to-understand, hands-on methods to simplify and address even the most difficult concepts in Python.

My course will help you implement the methods using REAL DATA obtained from different sources. Many courses use made-up data that does not empower students to implement Python based data science in real-life.

After taking this course, you’ll easily use the common time series packages in Python...

You’ll even understand the underlying concepts to understand what algorithms and methods are best suited for your data.

We will work with real data and you will have access to all the code and data used in the course. 

JOIN MY COURSE NOW!

Course Content

  • 8 section(s)
  • 55 lecture(s)
  • Section 1 Introduction to the Course
  • Section 2 Read in Data From External Data Sources
  • Section 3 Preprocessing & Visualising Time Series Data in Python
  • Section 4 Characteristics & Conditions of Time Series Data
  • Section 5 Basic Time Series Forecasting
  • Section 6 Machine Learning For Time Series
  • Section 7 Use Deep Learning For Time Series Data
  • Section 8 Miscellaneous Lectures

What You’ll Learn

  • Master Time Series Data In Python & Become Proficient In Time Series Data Analysis
  • LEARN How To Use Python-based Packages For Time Series Analysis
  • APPLY Python Data Science Techniques To REAL LIFE Data
  • IMPLEMENT Common Data Processing And Visualisation Techniques For Time Series Data in Python
  • BE ABLE To Read In, Pre-process & Visualize Time Series Data
  • The Basic Conditions Time Series Data Must Fulfill & How To Check For These
  • MODEL Time Series Data To Forecast Future Values
  • USE Machine Learning Regression For Forecasting Future Values


Reviews

  • A
    ArunKumar Udayakumar
    4.0

    Could explain more on the codebase. Also, please share the codebase.

  • S
    Soumita Dawn
    4.0

    nice

  • J
    John Fabione
    4.5

    This course equips you with in-depth skills to use Python for sophisticated time series modeling and precise prediction methods.

  • M
    Mohamud Mohamed Roble
    5.0

    I’m loving this course—its practical Python machine learning exercises make the concepts really easy to grasp.

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