Dates
10 June – 20 July 2021
Duration
6 week – 8 weeks
Location
Online
The course aims to equip individuals with the knowledge and skills needed to use Python programming language and its various data science libraries and frameworks, to perform data analysis, visualisation, modelling, and machine learning tasks. It will cover various data science concepts and techniques and how to use Python to implement them, preparing students to analyse and interpret complex data, make predictions, and extract valuable insights.
This course is ideal for individuals working in data-related roles, such as data analysts, data engineers, and data scientists, who would benefit significantly from enhancing their data science skills for data manipulation, analysis, and visualisation. Additionally, professionals in roles such as business analysts, market researchers, and financial analysts who work with data on a regular basis would find value in learning data science with the Python language to improve their analytical capabilities and gain deeper insights from data. The course is also valuable for managers and decision-makers, aiming to derive meaningful information, make data-driven decisions, and enhance business performance through statistical analysis and predictive modelling.
We anticipate the application form will take approximately 15 minutes to complete. You will need to create a new account to get started.
As soon as you submit your application, you will receive a receipt email.
You will receive a follow up email within two days of your application.
Your participation is not secured until payment is made.
As the programme is conducted in English, a good working knowledge of the language is essential.
Delegates who cancel their registration less than 15 working days prior to programme/course commencement, will be liable for 50% of the programme fee. Those who do not participate in the course without cancelling will still be liable for the full fee. Notification of cancellation must be sent in writing to the Programme Manager.
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