Early Bird: Save 10% on upcoming courses! Enrol before 31st May.

Save 10% on upcoming courses! Enrol by 31st May.

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Certificate in Data Analytics for Business

Self Study + Live Online Learning Next Course Starts Jan 19th from €1,500

Develop the skills you need to analyse data in ways that help to meet your organisation's goals with a Certificate in Data Analytics for Business. With this course you will learn core data concepts, understand how to answer real-world questions using data, and become a more confident and data-driven decision-maker within your organisation.

  • Bundle and Save: Book 2 courses and save 15%.

  • Combine Python and Analytics for €2,252 (save €397). Download brochure for details.

Hurry! Early Bird 10% off. Enrol before 31st May. Download the brochure now to reveal your discount code.

Upcoming Intakes

Browse our upcoming live online classes. Download your brochure to learn more.

Starts 19 Jan — Ends 09 Mar 23

Part-time / evening
  • Live online tutorials with an industry expert, plus additional self-directed learning
  • 8 weeks: One 1 hour tutorial & 4 hours of self-study per week
  • Thursdays, 6:30pm - 7:30pm

Secure your place with a 5% deposit and pay the rest in instalments. Flexible payment options available.

Why UCD Professional Academy?

  • Valuable, trusted qualification
  • Industry expert lecturers
  • Flexible learning options

Data Analytics for Business Course Modules

In addition to live online tutorials, you will work on DataCamp’s world-class learning platform. There you will get an interactive, hands-on initiation into data analysis for business decision-making. You will use Python to import, clean, format, and manipulate large volumes of data. Using real-world datasets, you will learn different ways to visualise data so that it is easily understood by others. Weekly tutotial sessions with a data analytics industry expert will help translate this theoretical learning into practical, work-based knowledge.

Or browse our wide range of expert-led online courses and grow your career potential today.

1. Introduction To Python

Learn why this programming language is so popular for data science - with a focus on powerful ways to store and manipulate data, and helpful tools to begin conducting your own analyses.

  • Basic Python
  • Lists
  • Functions and packages
  • NumPy

2. Intermediate Python

Learn to visualise data with Matplotlib and get acquainted with data structures such as the dictionary and the pandas DataFrame. Discover key concepts such as Boolean logic, control flow, and loops.

  • Matplotlib
  • Dictionaries and pandas
  • Logic, control flow, and filtering
  • Loops
  • Case study

3. DataFrames

Learn about pandas, the world's most popular Python library, used for everything from data manipulation to data analysis. Learn to manipulate DataFrames and import, clean, calculate statistics, and create visualisations.

  • Data merging basics
  • Merge tables-join
  • Advanced merging and concatenating
  • Merging ordered and time-series data

4. Version Control

Version control is one of the power tools of programming. It allows you to keep track of what you did when, undo any changes you decide you don't want, and collaborate at scale with other people. This course will introduce you to Git, a modern version control tool that is very popular with data scientists and software developers, and show you how to use it to get more done in less time and with less pain.

  • Basic workflows
  • Repositories
  • Undo
  • Branches
  • Collaborating

5. Importing Data

As a data scientist, you will need to clean data, wrangle and munge it, visualize it, build predictive models, and interpret these models. Before you can do so, however, you will need to know how to get data into Python. In this course, you'll learn the many ways to import data into Python: from flat files such as .txt and .csv; from files native to other software such as Excel spreadsheets, Stata, SAS, and MATLAB files; and from relational databases such as SQLite and PostgreSQL.

  • Flat Files
  • APIs
  • Relational Databases
  • SQL

6. Joining Data

Learn to combine and work with multiple datasets. Handle multiple DataFrames by combining, organising, joining, and reshaping them using pandas, working with datasets from the World Bank and City Of Chicago.

  • Data merging basics
  • Merge tables-join
  • Advanced merging and concatenating
  • Merging ordered and time-series data

7. Visualisation

Learn to find insights by visualising data in plots and figures. Discover how good visualisations help communicate data to others. Use Matplotlib to create visualisations of different kinds of datasets. Learn how the powerful Python library, Seaborn, makes it easy to create informative, interactive and attractive visualisations. Visualise data using plots such as scatter plots, box plots, and bar plots.

  • Plotting time series
  • Quantitative comparisons and statistical visualisations
  • Sharing visualisations with others
  • Customising Seaborn plots
  • Creating plots on data-aware grids

8. Data Science For Business

Understand the data sources your company can use and how to store that data. Explore machine learning, including clustering, time series prediction, natural language processing (NLP), deep learning, and explainable AI.

  • Introduction
  • Data collection and storage
  • Analysis and visualisation
  • Prediction

What our Alumni Say

My experience with the UCD Professional Academy was great. The lecturer was amazing and taught us very well. I will definitely be looking to further my skills with UCD Professional Academy. Studying remotely in my own time helped with work balance. After completing the course I was able to get a promotion in my current workplace.

The UCD Professional Academy Diploma in Office Administration was a valuable experience, which provided me with further opportunities - I’ve changed jobs since completing the course!

Office Administration

Access to thousands of journals, articles and papers. Free of charge.

Students taking part in this course will now have access to the EBSCO Online Library, free of charge, for the full duration of the course. Here you can browse thousands of relevant journals, articles and other reliable academic and commercial texts like the Harvard Business Review, Bloomberg Businessweek and Forbes Magazine, to supplement your learning and assignments.

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We've trained the employees of

For Business

Relevant skills for your team, results for you.

Whether you’re interested in making your training budget work harder with volume discounts across our standard portfolio, or have bespoke training needs to be addressed, we’ll help you level up. Our team of upskilling experts are ready to take the pain out of meeting your training targets.

Talk to our experts

Frequently Asked Questions

Is this course right for me?

You do not need a prior qualification in data analysis, but you should be comfortable with technology and Excel formulas.We have the follow entry requirements:

  • Basic Computer Skills (Mandatory), 

  • Skills to Install Software from Online Websites (Mandatory), 

  • Understanding of Data and Charts in Excel (Or any related Software to create Charts/graphics)

Good maths skills are a definite advantage for a career in data science. A basic understanding of coding would also prove beneficial. If you don’t have any experience in coding, you may need to spend extra time on self-study. You’re encouraged to discuss this with one of our Education Consultants before booking your place on the course.

You will need a computer capable of running a development environment: a modern 64-bit CPU, with at least 4GB of RAM and 5GB of available storage running a recent or preferably the latest version of Windows, Linux or macOS. If you use a company computer, you may need to check with your IT department to ensure you have access and permissions to install the required software.

How will this course help with my career?

As data becomes the world’s most valuable commodity, it’s never been more important to be able to understand and clearly communicate data concepts. This course will teach you the skills you need to analyse data in ways that bring value to business.

This certificate is the ideal way to prove to potential employers that you have the practical skills to jump into a role in data analytics.

What is the online learning experience like?

Outside of your online tutorial sessions, students will need to complete some self-study work using the DataCamp platform.DataCamp is a world-class learning platform for building data skills. Because you access it online, the tools are available anytime, anywhere. No need for bulky, costly software, just run code in your browser.

Learning is supported by live weekly expert mentor sessions, delivered using Zoom. During these classes, your teachers will use technology interactively to ensure an engaging learning experience. When appropriate, students will be encouraged to activate their microphones so that they can ask questions and communicate with other students.

Explain the UCD Professional Academy and DataCamp collaboration to me?

DataCamp is a world class learning platform for building data skills online. Unlike other courses, which require you to download bulky and costly software everything happens via your browser, meaning you’ll have access to the very tools to master python skills anytime, anywhere. Check out Datacamp's case study on UCD Professional Academy collaboration.

A weekly one-hour mentor session with a data analytics industry expert supports your learning. This helps you take your knowledge and apply it to real-world business scenarios to give you practical, applicable skills. Our mentors have first hand knowledge of how to build and develop a career in this exciting field.

What is the student experience like?

Student care is a high priority at UCD Professional Academy, which is why our Student Services team is on hand to support you throughout your time with us. They will respond to any queries you have, help you with any technical issues, and facilitate your learning experience at every point. All students are given access to our Student Portal, where you can see your timetable, access all your study materials, and manage your account.

How is this course assessed?

If you are studying an online course, your assessment will also be submitted online.

There is no final exam. You will be assessed based on your submission of a report-based project, which will evaluate your understanding of the concepts you have learned. Your project will analyse an open source data set – you will retrieve, manipulate, and process a data set, working with it through the various stages of the course.

What are the benefits of a Professional Academy Certificate?

UCD Professional Academy Certificates and Diplomas are designed to give your career an advantage. Developed in conjunction with industry thought leaders our courses teach practical, applied skills to support you to achieve your career and business goals. Professional Academy Certificates are suitable for career minded learners wishing to advance their professional skills and prospects rather than their academic credentials.

The Professional Academy is an independent wholly owned part of UCD designed to address the need for skills development in the workforce. Courses tend to be short, designed and delivered by industry practitioners, and are not part of nor do they lead to a traditional University award such as a degree or a masters. They are widely accepted by employers and many students are sponsored to study by their organisation.

For full details of UCD Professional Academy’s Certifications & Governance please visit https://www.ucd.ie/professionalacademy/governance/

How do I get my Professional Academy Certificate?

Your UCD Professional Academy Certificate will be issued electronically on a secure platform, with a link that you can share with employers and others wishing to verify your credentials. You can also add this certificate to your LinkedIn profile.

What payment options are available?

A place on any of our part-time & on demand courses can be secured with a 50% deposit with the remaining balance due within 30 days of the course commencing.

For full-time Bootcamp courses, 100% of the course fee should be paid before starting.

Please note that standard terms and conditions apply, which you can review here: https://www.ucd.ie/professionalacademy/terms-and-conditions/

Still have more questions? Download the brochure

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Live Classes

  • Weekly Live tutorial classes
  • Access to DataCamp's learning platform
  • Complete in 8 Weeks
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