Time Series Analysis and Forecasting using Python, Short Course | University Teknologi PETRONAS | Seri Iskandar, Malaysia
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Short On Campus

Time Series Analysis and Forecasting using Python

3 days
Duration
3240 MYR/full
3240 MYR/full
Unknown
Tuition fee
Unknown
Apply date
Unknown
Start date

About

The Time Series Analysis and Forecasting using Python course offered by University Teknologi PETRONAS will start with an overview of Python tools that are necessary for time series analysis.

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

Language

English

Delivered

On Campus

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 now

Starting 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

To always see correct tuition fees
  • International

    3240 MYR/full
    Tuition Fee
    Based on the tuition of 3240 MYR for the full programme during 3 days.
  • National

    3240 MYR/full
    Tuition Fee
    Based on the tuition of 3240 MYR for the full programme during 3 days.
  • PROFESSIONALS: MYR3,600

Funding

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Time Series Analysis and Forecasting using Python
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Time Series Analysis and Forecasting using Python
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University Teknologi PETRONAS

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