Those who wish to pursue a career or role in Data Science, or simply want to know how to analyse data.
Introduction to Data Analytics
Overview
| Module Title | Introduction to Data Analytics |
| Subject Area | Data Science |
| Credits | 5 |
| NFQ | 9 |
| EFQ | |
| Start Date | 8th September 2025 |
| Duration | 12 Weeks |
| Mode of Delivery | Online |
| Course Leader | Leonard Henckel |
| Fee | Full Fee: €900 *Subsidised Fee: €180 *80% Fee Subsidy for Eligible Learners (See Below) |
| Application Deadline | 29th August 2025 Register your interest: (opens in a new window)microcredentials@ucd.ie |
This micro-credentials covers introductory probability and statistical inference, focusing on understanding concepts and methodologies. Topics include: descriptive statistics, probability, sampling distributions, confidence interval estimation, hypothesis testing and regression.
Having successfully completed this micro-credential, learners will be able to:
- Summarise a data set using appropriate graphical and numerical methods.
- Understand the basic laws of probability and compute probabilities for several different distributions.
- Understand the principle of inferential statistics, estimate population characteristics and provide confidence intervals for those estimates.
- Understand the principles of hypothesis testing and for a specified investigation, given the background, identify an appropriate test and interpret the results.
- Understand and compute the equation of the least squares line, compute confidence intervals and prediction intervals from the least square estimates and perform some basic diagnostic checks on the performance of regression models.
Basics of data (types, summaries and descriptive statistics), probability, testing, regression. Modelling and model diagnostics.
You will become familiar with basic data science concepts and will build a foundation for expanding your expertise towards becoming a data scientist.
Video lectures posted each week that walk though module content, blending theory with example exercises.
Practice problem sheets to enable self-assessment of learning outcomes. Sample solutions for these will be posted after each problem set. Coding based problem sets posted with solutions again following.
All content delivered using the VLE which includes a monitored discussion forum with topics created for each weeks lecture material and each problem set.
Learning Requirements:
A basic knowledge of linear algebra and calculus.
Assignments -14%
MCQ exam – 16%
Open book exam – 70%
Group/class feedback, post-assessment.
Prof Cert in Data Science.
Please note: Learners can avail of only one form of funding per application.
Micro-Credentials Learner Fee Subsidy-Human Capital Initiative Pillar 3
The HCI Pillar 3 Micro-credential Learner Fee Subsidy has been introduced to enable more learners to address critical skills gaps and engage with lifelong learning through micro-credentials. The HCI Pillar 3 Micro-credential Learner Fee Subsidy is funded by Higher Education Authority (HEA) and the Department of Further and Higher Education, Research, Innovation and Science.
HCI Micro-credential Learner Fee Subsidies are available on identified micro-credentials only and in fixed numbers from March 2024 until October 2025.
Please see Eligibility Criteria for further information.
On successful completion of this micro-credential, you will receive credits as per the European Credit and Transfer System. These credits are recognised by the awarding institution as credits aligned to learning completed at postgraduate level.
If you have any questions about this micro-credential, or would like to speak to a UCD staff member, please contact (opens in a new window)microcredentials@ucd.ie.