Overview
What you will study
The participants of the Time Series Analysis and Forecasting using Python course offered by University Teknologi PETRONAS will also be exposed to traditional techniques before being introduced to the basic principles of recurrent neural networks (RNN, LSTM) and convolutional neural networks (CNN) that are used in times series analysis. Examples of applications from various fields will be presented and the participants will hands on Pythoin implementation of some algorithms.
Upon completion of this course, participants will be able to:
- learn basic Python tools for time series analysis
- understand the basics of time series analysis
- understand deep learning techniques for time series analysis
- apply classical and Deep learning techniques for time series analysis and forecasting
Programme Structure
The program focuses on:
- Review of Python tools for time series
- Overview of traditional techniques for time series analysis
- Basic principles of deep neural and convolutional neural networks (CNN)
- Principles of recurrent neural networks.
- Hands-on with examples from different fields
Key information
Duration
- Full-time
- 3 days
Start dates & application deadlines
- Starting
- Apply before
-
Language
Delivered
Disciplines
Software Engineering View 4 other Short Courses in Software Engineering in MalaysiaWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Student insurance
Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items, so make sure your student insurance ticks all the following:
- Additional medical costs (i.e. dental)
- Repatriation, if something happens to you or your family
- Liability
- Home contents and baggage
- Accidents
- Legal aid
We partnered with Aon to provide you with the best affordable student insurance, for a carefree experience away from home.
Get your student insurance nowStarting from €0.53/day, free cancellation any time.
Remember, countries and universities may have specific insurance requirements. To learn more about how student insurance work at University Teknologi PETRONAS and/or in Malaysia, please visit Student Insurance Portal.
Other requirements
General requirements
- Anyone interested in time series analysis
- Engineers, Researchers and graduate students
Tuition Fee
-
International
3240 MYR/fullTuition FeeBased on the tuition of 3240 MYR for the full programme during 3 days. -
National
3240 MYR/fullTuition FeeBased on the tuition of 3240 MYR for the full programme during 3 days.
- PROFESSIONALS: MYR3,600