Certificate in Advanced Data Analysis (MQF 5)

Module 1 - 6 ECTS

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.

1 reading
Reading: Certificate in Advanced Data Analysis

Module 2 - 6 ECTS

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.

1 reading
Reading: Certificate in Advanced Data Analysis

Module 3 - 6 ECTS

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.

1 reading
Reading: Certificate in Advanced Data Analysis

Module 4 - 6 ECTS

Power BI

In this module Power BI is used to facilitate the transformation of disparate data into an easier consumable format.

1 reading
Reading: Certificate in Advanced Data Analysis

Module 5 - 6 ECTS

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.

1 reading
Reading: Certificate in Advanced Data Analysis

Certificate in Advanced Data Analysis (MQF 5)

€3,750
Categories:

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.

 

 

Duration

7 Months

Start Date

May/Sep

Delivery

Work-based Learning

Credits

30 ECTS Credits

Awarding Body

This qualification is awarded by Central Mediterranean Business School (CMBS).

 

This qualification is accredited by the Malta Further and Higher Education Authority. MFHEA deems this Certificate in Advanced Data Analysis to be at Level 5 in the Malta Qualifications Framework and the European Qualifications Framework for lifelong learning.

 

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

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.

1 reading
Reading: Certificate in Advanced Data Analysis
30 hours

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.

1 reading
Reading: Certificate in Advanced Data Analysis
30 hours

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.

1 reading
Reading: Certificate in Advanced Data Analysis
30 hours

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.

1 reading
Reading: Certificate in Advanced Data Analysis
30 hours

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.

1 reading
Reading: Certificate in Advanced Data Analysis
30 hours