Diploma in Data Analytics

Discover the fundamentals of data analytics. Learn to collect, analyse, and interpret data to drive informed decisions and unlock valuable insights for your organisation

Online: 24th February 2025
On Campus: 26th February 2025

14 weeks, one evening per week

Wednesdays

EUR 1235 (Online) EUR 1595 (On Campus)

Unlock Your Future with 2024 Prices


Take Advantage of Our 2024 Prices and Start Your 2025 Journey for Less! Enjoy 10% off any diploma course. Hurry—this offer ends December 31! T&Cs apply. Use code IBATDEC10 when applying.

Price: EUR 1235 1111 (Online) EUR 1595 1196 1435 (On Campus)

Diploma in Data Analytics

Why Data Analytics?

The Diploma in Data Analytics will aid your understanding of data models including how to extract, profile, clean, transform and present data, as well as teach you how to develop analytical skills to secure employment. You will be introduced to many popular techniques used in the field including the three main components of data analysis: understanding how data is stored and manipulated in databases (using MySQL and MySQL workbench), how to extract and present data using Microsoft Power BI, and how to develop predictive models using RapidMiner. 

By the end of this programme, you will be able to create measures with DAX, optimise model performance, create reports for usability, enhance reports to expose insights, and perform advanced analysis. 

As well as helping you become an expert in data analytics, this business data analysis course online will support you in your preparation for the Analysing Data with Microsoft Power BI exam. (Exam-Ref PL-300) 

Graduates of this programme will be able to acquire more senior roles in their careers and roles with more responsibility such as strategist, analyst, and adviser. You will gain confidence to apply for roles that actively partner with management and operations functions to influence the direction and decisions of the business on a day-to-day basis.

Looking for data analytics courses online? Studying with IBAT will prepare you to work in some of the world’s largest firms, including Google, LinkedIn, Facebook, IBM, Apple, Pfizer, Twitter, and GlaxoSmithKline, that have European headquarters in Ireland and are always looking for data scientists.

Course Overview

This programme will introduce you to big and small data, teaching you how to manipulate, analyse, and interpret it in sophisticated ways and to present findings in a persuasive and influential manner. You will also learn how to identify situations in which predictive analytics can add value by better meeting customer needs through the smarter allocation of marketing budgets and by improving financial decisions. 

Please Note: Although all techniques are based on the theory of statistics, this is not a statistics course. This course takes a logic-based approach rather than a formula-based one. It will not focus on helping you become knowledgeable on statistics but rather on knowing how to apply all techniques learned in a practical manner.  
Students must use a Windows computer for this course. A Mac is fine as long as it is capable of running Windows. 

Course Content

The course covers the following areas:

  • Storing Data
    • Working with SQL to store and retrieve data
  • Preparing Data
    • Power BI
  • Modelling Data
    • Power BI
  • Visualising Data
    • Power BI
  • Analysing Data
    • Power BI
  • Building Predictive Models
    • RapidMiner (Decision Trees, Confusion Matrix, Clustering, Text Analysis)
  • Deploying Data Workflows
    • Power BI
  • Ethical Overview
  • Microsoft Exam Overview

 This course requires no programming skills.

Assessment 

Participants will be required to successfully complete project work (100%) on real-world case studies and data sets. 

What is a Professional Diploma? 

An IBAT Professional Diploma is a focused, short-duration practical course that consolidates, upskills, and/or reskills learners in a professional area. It is a stand-alone qualification that does not lead to an award on the National Framework of Qualifications (NFQ). 

Career Opportunities

Data analysts are in high demand in many industries, including pharmaceuticals, marketing, finance and insurance, and cloud computing.  According to GoStudy Consulting and EdTech, the demand for a graduate in data analytics in Ireland has increased by 50% in the last five years (as of 2020).  Graduates from Ireland are highly employable thanks to industry-led courses in med-tech, analytics, digital marketing, data engineering, data analytics, life sciences, ICT, pharma, and health care.  According to Stoodnt, Ireland has more than 17,000 startups. As the amount of data and technological insights grows, organisations in Ireland are looking for talented analysts. 

Entry Requirements

This programme is suited for individuals with a variety of different experience levels, and while there is no academic requirement for entry, all applicants should demonstrate an interest in and an aptitude for data analytics. Basic computer literacy is a requirement with a digital literacy certificate or equivalent.

It should be noted that while this is not a statistics course, all techniques taught are based on the theory of statistics. You will need to understand basic business statistical concepts, including mean/average, standard deviation and normal distribution.

Please note: Students need to be using a Windows computer.  If they have a Mac it must be capable of running Windows.

Diverse Programmes

Take your pick of our wide range of courses, each designed with your future in mind.

Expert Tutors

Learn from industry professionals at the very top of their game.

Flexible Learning

Life happens. We get it. Study and achieve your goals on your schedule.

Central Location

Study at one of our two campuses placed in the heart of central Dublin.

Small Class Sizes

Get one-to-one, personalised support from our tutors.

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Meet Our Students

Hear from our students as they share why they chose IBAT Dublin and the invaluable benefits they’ve gained from their journey with us. 

Study options

You can attend lectures Online or On Campus, offering maximum flexibility with your time and how you learn.

Digital Certification

A Digital Certificate will be issued upon successful completion of an in-class exam for each of the two modules, in addition, you will also receive a Digital Badge.

What is a Digital Badge?

A micro-credential is a compact credential that verifies the achievement of a skill or knowledge gained. A Digital Badge is a visual representation of having earned a micro-credential which can be shared on various online platforms to showcase the earner’s achievement.

Why have a Digital Badge?

Your Digital Badge and Certificate can be shared on social media channels such as LinkedIn and Facebook. Digital Badges can also be added to email signatures, displayed on resumes or added to recognised achievement platforms such as Badgr, Credly and OpenBadges. These are a great way to communicate your knowledge and skills, and highlight your commitment to Continuing Professional Development (CPD).

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