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Data Science Machine Learning with Python eLearning/self-paced online Course

April 30 @ 12:00 am - 11:00 pm

Introduction:

The Machine learning course imparts skills that are required for understanding machine learning algorithms, models, and core machine learning concepts, evaluating classifiers and regressors, connections, extensions, and further directions. The study guide is equipped with learning resources to broaden your toolbox and explore some of the field’s most sophisticated and exciting techniques.

 

Prerequisites

No prerequisite, however basic programming knowledge would be very helpful.

Course Objectives:

  • Some Technical Background
  • Predicting Categories: Getting Started with Classification
  • Predicting Numerical Values: Getting Started with Regression
  • Evaluating and Comparing Learners
  • Evaluating Classifiers
  • Evaluating Regressors
  • More Classification Methods
  • More Regression Methods
  • Manual Feature Engineering: Manipulating Data for Fun and Profit
  • Tuning Hyperparameters and Pipelines
  • Combining Learners
  • Models That Engineer Features for Us
  • Feature Engineering for Domains: Domain-Specific Learning
  • Connections, Extensions, and Further Directions

Exams & SQA Framework:

There will be an opportunity for leaners to attain a PDA (Professional Development Award) from SQA upon completion successfully (passing all relevant exams) as this qualification is aligned with the PDA DATA Science @ SCQF level 8. Learner can earn up to 40 SCQF credit points upon passing all exams successfully. All SQA exams costs are included in the funding.

*We can send you further information on the course, application forms via email*

 

Modes of Learning:

eLearning: is self-paced, you will be completing the course in your own time and do not have to attend any traditional face to face classes or virtual. You will be assisted by a dedicated tutor/mentor throughout the course attendance via email.

How to apply for the Course Funding from SAAS PTFG:

SAAS Part Time full funding is available for this course and the course training will be totally free for eligible candidates only. SAAS Part Time full funding is available for this course and the training will be totally free for eligible candidates only. This is a grant not a loan and the funding covers the full cost of our designated courses including the SQA relevant exams.

Student Awards Agency for Scotland (SAAS)

Please visit the https://www.saas.gov.uk/part-time/undergraduate-funding to apply for the course funding;

In addition to the funding application student must fill ITPT course admission application form so we can reserve the place while their SAAS funding application is in process. Any student who do not inform us then their place in the course will not be guaranteed as we have minimum places to offer to SAAS funded students/learners.

Students intending to use SAAS Part Time Fee Grant to fund their studies should apply well prior to the course starting dates. In some cases we allow students to enrol while their funding is in process, if the course date is near or gone past but they have to provide the proof that their funding has been applied to SAAS PTFG and is in under process.

Self-Finance

Students can also self-finance this course if do not qualify for the funding.

 

What ITPT do to help students for SAAS funding application forms?

We advise & provide information regarding their SAAS funding application, how and what information to fill through SAAS PTFG online portal so don’t worry just make an appointment and pop along, our dedicated course consultants will be happy to assist you accordingly.

Contact Us:

For more information please do contact us;

Edinburgh Phone: 0131 552 5558 – 0131 552 5800

Glasgow Phone: 0141 429 2922
Email: info@itpt.co.uk
website: https://www.itpt.co.uk/

Contact us via website: https://www.itpt.co.uk/contact-us/

To Book an Appointment with Course Advisors:

To Book course registration or for further information about the course or its funding, please follow the below link;
https://tinyurl.com/ITPT-Appointment

Details

Date:
April 30
Time:
12:00 am - 11:00 pm

Venue

eLearning / online