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Diploma in Data Analytics – Live Online (2 evenings per week for 12 weeks)

start date: 17 September 2024

Fitzwilliam Institute's Live Online Part-time Evening Diploma in Data Analytics is one of Ireland's most successful data analytics courses. Delivered interactively by Ireland's leading data analysts, the course is delivered live online and will run two evenings per week for 12 weeks, and features:

  • Over 3 months of intensive high-level data analytics training with interactive modules covering: Describing and examining data in which individual attributes can be described and summarized: the scales on which they are measured, how to describe their center as well as the variation using descriptive statistical approaches, and how to make statements about these attributes using inferential statistical methods, such as confidence intervals or hypothesis tests, etc.
  • Practical skills training delivery from leading industry professionals. All of Fitzwilliam Institute’s data analytics trainers are top industry professionals with many years of successful data analytics experience. Fitzwilliam Institute’s data analytics course contains the core and vital Python and “R” programming industry key skillset and, on completion, all of our students are ready for their data analytics career.
  • Real life data analytics programming briefs. Fitzwilliam Institute’s Diploma in Data Analytics offers practical and specific Python programming skills that can be applied in real world situations. You will complete a real life data analytics programing brief, which will help you gain invaluable data analysis experience and develop your work portfolio. A combination of interactive group sessions, presentations, and questions and answers allows you to gain transferrable skills and invaluable experience, in real-life situations, which will prepare you for a successful future in the industry.
  • Data analytics jobs, networking and volunteer opportunities. Fitzwilliam Institute is extremely well placed within the Information Technology field. Employers are always looking for Fitzwilliam Institute’s data analytics students and alumni – that’s why they come to us first to hire. Fitzwilliam Institute’s website features a comprehensive jobs and volunteer opportunities section.
start date: 17 September 2024

Basic Statistics

Descriptive statistics; inferential statistics; graphical summaries;


Working with Python Programming Language

Functions and graphics in Python programming language;


Introduction to Python Programming

Use built-in data structures such as lists, dictionaries, and tuples to perform increasingly complex data analysis;


Using PyCharm

Basic use of PyCharm interface; the Python libraries used will be Pandas, Numpy, SciPy, Matplotlib;


Statistical Testing

Deciding whether data supports your assumptions; types of statistical tests; one and two sample tests; 


Regression Analysis

Understanding relationships with a linear pattern; simple linear regression and multiple linear regression; model diagnostics;


Analysis of Variance

Understanding one-way and two-way analysis of variance ANOVA;


Types of Probability Distributions

Understanding probability; different probability distributions - Gaussian; Binomial; Gamma and Poisson;


Data Mining

Analyzing data while looking at multiple variables simultaneously; clustering techniques; k-means algorithm;

Introduction to R Programming and R Studio 

Functions and graphics in “R” programming language and use of the RStudio;


Classification Analysis

Analyzing data when the outcome of interest is binary; logistic regression and decision tree algorithm;


Machine Learning

The process of developing, testing; applying predictive algorithms to achieve future outcomes; understanding random forest algorithm;


Simulation / Model Validation

Determining the accuracy of competing models; assessing model fit; selecting best model;


Time Series Analysis

Analyzing and predicting data over time; understanding and using time series data;

start date: 17 September 2024

Q1. What was the best part of the course for me?      

The best part of the course was the ease of coding and interpretation of datasets; I was completely amazed when I came across statistics and probability because it related to my field in Accounting, and I love mathematics so much, so these caught my attention and were the best part of the course for me.   

Q2. What did I learn?       

I learnt a wholesome set of Skills, in fact, an entire field I never knew existed in the computer world. I'm very familiar with  Microsoft Excel, Word and Peachtree Accounting Softwares, Xero, ERPs, Sage and Accounting seed. Still, I never have come across ML (Machine Language), Anaconda, Python, R and SQL. These were totally new to me, I had zero knowledge of them beforehand, and now, it is absolutely amazing how my inquisitive nature has driven me thus far. I was plain Curious!  

Q3. How did/will the course benefit me?       Okay, based on my new experience and Exposure to the Data Analytics world. This would be of great advantage to me in my quest to becoming a financial Analyst, plus, at the rate at which the world is going, the " computer " is where up to 95% of Jobs get done; this piece of knowledge (computer) has brazen and heightened my view on Data Analysis. Furthermore, based on my predictions, it will never go extinct; thus, its Relevance!!!.   

Q4. Would you recommend it to others?     

100% yes I would recommend because the delivery of the lectures was fantastic, the Exercise, Assignment and Exam Ethics was optimum Professional and very understandable.  

Q5. Why should others consider applying for this course in the future?  

This is a course that will remain relevant and will not go out of importance. It should be regarded with High importance. It is futuristic in its capacity to Analyse, predict, or forecast events with classes of Datasets and codes. " Everyone needs an assessment of an Asset, Insurance, Project, Estate, Lottery, or Game ". Do this; it is worth applying for as a course of the future. Thank you.

Gabriel Iyere, Diploma in Data Analytics 2021 - 2022

start date: 17 September 2024

On successful completion of this course you will receive a Professional Diploma qualification that is certified and awarded by the ICM (Institute of Commercial Management).

The Institute of Commercial Management was founded in 1979 and is one of the leading Professional Examination and Certification Bodies in the world today. Fitzwilliam Institute have developed and provided practical skills training courses in liaison with the Institute of Commercial Management qualifications and certifications framework for over 25 years. The Institute of Commercial Management certifications and continual professional development training awards are recognised by leading industries, bodies and professions.

start date: 17 September 2024
next start date: 17th September 2024 (Tuesday)

Course Fees: €1,495.00

To secure your place on the course a deposit of €296.00 is required. The remainder of the course fee €1,199.00 is due 30 days prior to the commencement of the course. All fees must be paid before the course begins. Please note, the full course fees are inclusive of all course materials and certification costs.

Enrolment intake is strictly limited on this course. Early application is advised. Places are allocated on a first come first served basis.

We want to make education easy and enjoyable for you. At Fitzwilliam Institute, we offer a range of finance options to suit your needs.

You can buy now and pay later with humm - humm provides a simple application process, simple terms and conditions, up to 36 monthly payments. With low-interest rates.

Fitzwilliam Institute closes on Bank Holidays and for a number of days at Christmas and New Year. Fitzwilliam Institute reserves the right to postpone, cancel or alter courses without notice or to change any of the details in this brochure. Fees are not refundable unless the course is cancelled by the Fitzwilliam Institute. Distance Learning courses are provided by Fitzwilliam Institute - BGLS Ltd.

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start date: 17 September 2024

Year on year, we have the pleasure of training students from top Ireland and international companies. See where our most recent students come from and find out what they have to say.

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