Time Series in Machine Learning

  • Instructor: Cherry Wang
  • Lectures: 18
  • Students: 328
  • Duration: 10 weeks

A time series is a sequence of observations over a certain period. The simplest example of a time series that all of us come across on a day to day basis is the change in temperature throughout the day or week or month or year.

The analysis of temporal data is capable of giving us useful insights on how a variable changes over time.

This course will teach you how to analyze and forecast time series data with the help of various statistical and machine learning models in elaborate and easy to understand way!


Academy Europe presents high-quality formal diplomas, certificates and e-certificates which are formal proof and recognition of accredited online courses. It shows all student’s abilities to learn and achieve high results and is very useful to promote personal career including with CVs, job applications and self improvements.

Samples: Horizantal Diploma – Horizantal Certificate – Vertical E-Certificate


Before you start proceeding with this course on Academy Europe, we are assuming that you have a good aptitude and can think logically. You should want to try something different.

Ideal candidates for the course would typically possess:

– Discipline and attentiveness

– Ability to conduct research

– Ability to perform tasks with speed, efficiency, and accuracy

– Analytical judgment

– Patience to interpret technical/scientific data

– A willingness to learn, roll up your sleeves and work toward your dream!

– A computer, tablet or smartphone and an internet connection

– Basic computer skills

This course only assumes a preliminary understanding of Python language. Although this course is self-contained, it will be useful if you have understanding of statistical mathematics.

If you are new to either Python or Statistics, we suggest you to pick up a course based on these subjects first before you embark on your journey with Time Series.


This course is for the inquisitive minds who are looking to understand time series and time series forecasting models from scratch. At the end of this tutorial you will have a good understanding on time series modelling.

This course by Academy Europe aims at imparting quality education and training to students.

Academy Europe is dedicated to its students, their specific learning requirements, and their overall learning success.

This course is directed toward a student-centered, independent study, asynchronous learning approach.

After completing this course on Academy Europe, students will get self improvement  and promotion in their careers.

This course is based on at least two learning skills which are provided  to the users through audio & visuals, videos, verbal presentations and articles, all of which are asynchronized with distance education approach.

  • Time Series - Introduction 0/1

  • Time Series - Programming Languages 0/1

  • Time Series - Python Libraries 0/1

  • Time Series - Data Processing and Visualization 0/1

  • Time Series - Modeling 0/1

  • Time Series - Parameter Calibration 0/1

  • Time Series - Naive Methods 0/1

  • Time Series - Auto Regression 0/1

  • Time Series - Moving Average 0/1

  • Time Series - ARIMA 0/1

  • Time Series - Variations of ARIMA 0/1

  • Time Series - Exponential Smoothing 0/1

  • Time Series - Walk Forward Validation 0/1

  • Time Series - Prophet Model 0/1

  • Time Series - LSTM Model 0/1

  • Time Series - Error Metrics 0/1

  • Time Series - Applications 0/1

  • Time Series - Further Scope 0/1

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Cherry Wang is an artificial intelligence instructor and course content presenter at Academy Europe. She is an expert in instructional design and teaching. She supplements her knowledge in E-learning and Educational Technology by using AI and TTS elements.