(6.30pm-9.30pm)
29th August 2023
Tuesday for August
On-Campus: €1250
This course is starting in June 2023. Apply now!
Why Predictive Data Analytics
Learn how to extract information from existing data sets in order to determine patterns and predict future outcomes and trends.
This course will:
- Teach you the multivariate techniques used to transform information from large data sets into actionable insights
- Give you a hands-on experience using software platform, RapidMiner
- Give you skills to enhance your career prospects opening up roles such as strategist, analyst and adviser
- Introduce you to ‘big’ and ‘small’ data
- Teach you how to identify situations in which predictive analytics can add value by better meeting customer needs
- Teach you how to present this in a persuasive and influential manner
- Teach you advanced statistical techniques used in the field of marketing and financial predictive analytics.
Some of the world's largest firms, including Google, LinkedIn, Facebook, IBM, Apple, Pfizer, Twitter, and GlaxoSmithKline, have European headquarters in the country. And data scientists are always in demand at firms of that size.
Course Overview
The Diploma in Data Predictive Analytics will introduce you to many of the popular advanced statistical techniques used in the field of marketing and financial predictive analytics. On the course you will learn the multivariate techniques used to transform information from large data-sets into actionable insights. You will gain hands-on experience using RapidMiner [a software platform for data preparation and predictive model generation] and prepare to be a part of this growing field.
The skills obtained through this programme will enable you to shift roles from ‘trusted observer’ to a more commercial role as strategist, analyst and adviser. You can move to a role where you actively partner with management and operations functions to influence the direction and decisions of the business on a day-to-day basis.
On the programme you will also be introduced to both ‘big’ and ‘small’ data; learn how to manipulate, analyse and interpret it in sophisticated ways; and realise how to present this in a persuasive and influential manner. It will teach you 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: It important to note that this is not a statistics course; even though all the techniques are based on the theory of statistics; the approach taken here is logic-based, rather than formula-based. Therefore, you will not be a statistics expert at the end of this course; however, you will know and be able to apply all the techniques in a practical manner.
In the end, you will be able to apply all learned theory into practice and start building a more data-driven culture within your organisation.
Course Content
This programme will teach you how to identify situations where predictive data analytics can add value by better meeting customer needs, realising smarter allocation of marketing budgets, and improving the financial performance of your company.
You will know when to use the following modelling techniques, and understand their relevant pros and cons:
- Factor analysis for data reduction
- Multiple regression for prediction purposes
- Multiple discriminant analysis for classification
- Cluster analysis for better segmentation
Each week, class time will be allocated for you to work with RapidMiner, learning how to analyse and interpret a different multivariate statistical technique using a real-world dataset.
On completion of the programme, you will be able to apply learned theory and start building a more data-driven culture within your organisation.
In the end, you will be able to apply all learned theory into practice and start building a more data-driven culture within your organisation.
Course Content
- Business Intelligence and Data
- Power BI
- Data Mining
- SQL
- Types of Analytics
- Python / Jupyter
- RapidMiner:
- Data Preparation
- Data Preparation
- Modelling and Performance
- Modelling (Decision Trees)
- Modelling (Knn, Confusion Matrix)
- Modelling (K Means clustering, Association rules
- Text / Sentiment Analysis
Assessment
Participants will be required to successfully complete project work (100%), the project work will bebased on a 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. They are stand-alone qualifications that do not lead to an award on the National Framework of Qualifications (NFQ).
Lecturer Profile
Career Opportunities
Data Analysts are in strong demand in many industries, including pharmaceuticals, marketing, finance and insurance, as well as 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.
Ireland has more than 17,000 startups, according to Stoodnt. Organizations in Ireland are looking for talented analysts as the amount of data and technological insights grows.
Testimonials
My favourite aspect of the course was working & learning rapid miner.
Learned new skills, especially around Rapidminer and datasets.
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 the techniques are based on the theory of statistics and you will need to understand basic business statistical concepts, including mean/average, standard deviation and normal distribution.
How to Apply
Click on ‘Find out More’ or ‘Apply Now’ to reserve your place or enquire more about this course.
You can also book a one to one with one of our course specialists by calling us at: +353 1 8075 055 or emailing us at: This email address is being protected from spambots. You need JavaScript enabled to view it.
We also have flexible payment plans, please ‘Find out More’ or call us to discuss your options or visit the college anytime and our course specialists will be more than willing to discuss any queries you may have.
A Digital Certificate will be issued upon successful completion of a project based on real world case studies and data-sets, 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 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).