Certificate in Advanced Data Analysis (MQF 5)
€3,750
About this course
The MQF 5 Certificate in Advanced Data Analysis course tackles several tasks related to handling data, which is why it is ideal for students who wish to pursue a career as IT System Analysts, Data Scientists and Data Analysts, among others. It shall help its learners identify and define various approaches to gathering and managing data and information. Furthermore, it will allow them to gain the necessary competencies to collaborate with peers when it comes to generating reports and monitoring changes in data.
Awarding Body
Entry Requirements
To be eligible for this course, students should be in possession of minimum ECDL Advanced Spreadsheets (or similar) and English Language (EU Self Assessment level C). If you do not meet the standard entry requirements and are adequately prepared to succeed in this programme, we welcome and encourage you to contact us for an interview.
Assessment Mode
There will be three types of assessments for this course:
- Time constrained assignment – Students will have to do the assignment in class. This will be a practical assignment that needs to be done on a computer.
- Home assignment – Students will have a period of time to prepare work at home backed up by research and self-study
- Presentation – Some of the work will have to be presented in class.
Delivery Mode
This Certificate in Advanced Data Analysis is delivered through a combination of seminars and work-based learning. Classroom-based sessions will take place in the form of seminars and one-to-one mentoring sessions.
Who is this course for?
This course is intended for those who are aged 18+ and aspire to work or are already working as data scientists, machine learning engineers, business intelligence analysts, logistics analysts, data architects, business systems analysts, or marketing analysts.
Language of Instruction
This programme will be delivered in English.
Location of Lectures
Lectures will be delivered at Business Leaders Hub, 160, Mdina Road, Zebbug, Malta, ZBG 9015.
How to Apply
Interested candidates can apply by sending an email to admissions@cmbs.edu.mt or by calling us on 00356 9912 1110. Applicants will be provided with a link to complete our booking form and will be requested to submit any relevant documents required to process the application.
Have questions?
Email Daniela at admissions@cmbs.edu.mt or call on 00356 9912 1110 to learn more.
Price (EU Students): 3,750
€2,812 will be refunded via the Get Qualified Scheme
Pay only €938
Price includes:
- Access to a comprehensive student management system
- Overall qualification certificate
- Course material tutorial support notes
- Access to online course resources
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Syllabus
Module 1 - 6 ECTS 0/1
Statistical Data Analysis
This unit aims at providing general knowledge and the skills needed for a researcher to perform statistical analysis on a dataset in order to prepare a number of hypothesis and perform due research. By using a number of editing and visualisation tools, this unit allows researchers to interface with a number of data storage applications, create data models, and perform the necessary data transformations and analysis. Finally, this unit covers various techniques for how data can be visualised and prepared in dynamic reports.
Module 2 - 6 ECTS 0/1
SQL 1
The unit starts off with an overview of the basic database principles and the setting up of a simple database environment. Database design practices are introduced using Entity Relationship Diagrams (ERD) which follow commonly used normalisation rules. Attention is later directed towards the actual implementation of designed databases through SQL.
Module 3 - 6 ECTS 0/1
Python Scripting
In this module Python is used to introduce scripting as a tool to gather, clean, analyse and visualise data. The module does not assume any prior knowledge of Python or any other scripting/programming language.
Module 4 - 6 ECTS 0/1
Power BI
In this module Power BI is used to facilitate the transformation of disparate data into an easier consumable format.
Module 5 - 6 ECTS 0/1
Data Analysis Project
In this highly practical module, all the skills learned in the previous four modules, together with some new ones, will be applied in a project that covers all the aspects of a real-world data project.