- 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
Time Series - Programming Languages
Time Series - Python Libraries
Time Series - Data Processing and Visualization
Time Series - Modeling
Time Series - Parameter Calibration
Time Series - Naive Methods
Time Series - Auto Regression
Time Series - Moving Average
Time Series - ARIMA
Time Series - Variations of ARIMA
Time Series - Exponential Smoothing
Time Series - Walk Forward Validation
Time Series - Prophet Model
Time Series - LSTM Model
Time Series - Error Metrics
Time Series - Applications
Time Series - Further Scope