Certificate in Data Analytics for Finance

Self Study + Live Online LearningNext Course Starts Nov 16thfrom €1,500

Discover the principle tools, techniques, and algorithms that can be applied to financial datasets with this Certificate in Data Analytics for Finance. With this course unearth crucial insights for decision-making in the rapidly evolving financial domain. Analyse data and generate invaluable information that will help to balance risk and return.

Why UCD Professional Academy?

  • Valuable, trusted qualification
  • Interactive learning and expert mentoring
  • Flexible live online learning

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Course Information for Data Analytics for Finance

€1,500

Secure your place with a 10% deposit and pay the rest in instalments. Flexible payment options available.

Enrol now with a 10% deposit Download brochure

Showing dates for: Nov - Mar 2022

Starts 16 Nov - Ends 18 Jan 2022

Part-time

Course Type

Live online lectures with an industry expert, plus additional self-directed learning

Duration

8 weeks: One 1 hour lecture & 4 hours of self-study per week

Timetable

Tuesdays, 6.30pm - 7.30pm

Starts 19 Jan - Ends 09 Mar 2022

Part-time

Course Type

Live online lectures with an industry expert, plus additional self-directed learning

Duration

8 weeks: One 1 hour lecture & 4 hours of self-study per week

Timetable

Wednesdays, 6.30pm - 7.30pm

Starts 22 Mar - Ends 10 May 2022

Part-time

Course Type

Live online lectures with an industry expert, plus additional self-directed learning

Duration

8 weeks: One 1 hour lecture & 4 hours of self-study per week

Timetable

Tuesdays, 6.30pm - 7.30pm

We've trained the employees of...

What our alumni say about our Data Analytics for Finance course

The Certificate in Introductory Data Analytics was a very good experience. I learned a lot! I got a good foundation in the subject and I now have the skills and guidance on how I can progress in the area, while implementing what I have learned to my current role.

Greg Lenehan


Accounts Assistant, Nicholas O'Dwyer Ltd

I found the Certificate in Data Analytics for Finance to be both challenging and informative. Learning how to use Python was one of the biggest benefits of the course, given that it’s a glue coding language and can be applied elsewhere. The course - alongside my existing experience - will be such a stepping stone into a career in Data Analytics.

Sinead O'Kane


Credit analyst, Maynooth University

Certificate in Data Analytics for Finance was a great introduction to the world of Data Analytics. We got some exposure to all aspects of data analytics tools and systems. The case studies were focused around the financial world. I would definitely recommend the course as it gives a great overview of what data analytics is all about.

David O'Rouke


Associate of Payment Operations

Certificate in Data Analytics for Finance course content and learning outcomes

Discover how to process financial data, including analysing time-series data, using Python programming language and packages such as NumPy, statsmodels, and pyfolio. Develop your practical skills using real-world financial data.

What will I learn about Data Analytics for Finance?

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Working on DataCamp’s world-class interactive learning platform, you will learn mission-critical financial analysis skills such as evaluating stock performance or calculating returns for various time horizons - accurately and efficiently. You will develop hands-on Python programming skills and an understanding of how Python tools are used to import and manage data. Weekly mentoring sessions with a data analytics industry expert will help translate this theoretical learning into practical, job-relevant knowledge.

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

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Data Analytics for Finance Course Modules:

Introduction To Python For Finance

Introduction To Python For Finance

Discover how Python is used for financial analysis. Learn Python data structures such as lists and arrays, as well as powerful ways to store and manipulate financial data to identify trends.

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  • Python Introduction
  • Lists
  • NumPy arrays
  • Visualisation
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Intermediate Python For Finance

Intermediate Python For Finance

Learn how to use Python data structures, execution control statements, and DataFrames to manipulate financial data. Work with pandas, using data from the Federal Reserve Bank to explore national economic trends.

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  • Datetimes and dictionaries
  • Control flow and logic
  • Pandas DataFrame
  • Working with NASDAQ stock data
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Data Manipulation With Pandas

Data Manipulation With Pandas

Extract, filter, and transform real-world datasets for analysis, exploring all the core data science concepts. Learn how to import and clean data, calculate statistics, and create visualisations using pandas.

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  • Transforming data
  • Aggregating data
  • Slicing and indexing
  • Creating and visualising DataFrames
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Joining Data With Pandas

Joining Data With Pandas

Learn to combine and work with multiple datasets and discover why pandas is a cornerstone of the Python data science ecosystem, working with World Bank and City of Chicago datasets.

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  • Data merging basics
  • Merging tables and join types
  • Advanced merging and concatenating
  • Merging ordered and time-series data
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Introduction To Data Visualisation With Matplotlib

Introduction To Data Visualisation With Matplotlib

Learn how to use the powerful Python data visualisation library, Matplotlib. Create rich visualisations of many different kinds of datasets and learn how to customise, automate, and share them.

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  • Introduction to Matplotlib
  • Plotting time-series
  • Quantitative comparisons and statistical visualisations
  • Sharing visualisations with others
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Introduction To Financial Concepts In Python

Introduction To Financial Concepts In Python

Understand the basic principles of finance and learn to combine this knowledge with Python to construct powerful financial tools. Discover the time value of money and how to make data-driven decisions.

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  • The time value of money
  • Making data-driven financial decisions
  • Simulating a mortgage loan
  • Budgeting application
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Manipulating Time Series Data In Python

Manipulating Time Series Data In Python

Learn the basics of manipulating time series data - data that are indexed by a sequence of dates or times. Learn how to calculate rolling and cumulative values for times series.

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  • Time series in pandas
  • Time series metrics and resampling
  • Rolling and expanding metrics
  • Building a value-weighted index
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Importing And Managing Financial Data In Python

Importing And Managing Financial Data In Python

Learn how to bring data from Excel into pandas, and back. Work with APIs. Learn to calculate returns for various time horizons, analyse stock performance by sector, and calculate and summarise correlations.

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  • Importing data from Excel
  • Importing data from the web
  • Summarising and visualising
  • Aggregating and describing by category
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Have questions about the Certificate in Data Analytics for Finance?

Find out how this industry-focused course will give you the job-ready skills and knowledge to advance your career.

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Is this course right for me?

You do not need a prior qualification in data analysis to apply. However we do have the following 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)

This course is ideal for anyone who is curious about coding and wants to explore data in the world of finance or introduce data analysis within their organisation to further explore better decision-making.

Although basic financial concepts are covered, this course is not about learning deeper financial theory but rather the practical skills needed to import, clean, format, and visualise financial data using Python programming language, tools, and libraries.

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?

The financial services industry relies heavily on data analysis to solve complex problems and reduce risk. Financial institutions depend on data from different sources and need skilled analysts to import, manage, and derive meaning from it.

Throughout this course, you will work with multiple real-world datasets from, for example, the World Bank, NASDAQ, AMEX, and Google, allowing you to demonstrate your hands-on experience and skills to potential employers. The average salary of a data scientist in Ireland is €49,000.

What is the online learning experience like?

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 Certificate?

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

The Professional Academy in 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 Awards & Governance please visit https://www.ucd.ie/professionalacademy/governance/

How do I get my 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 qualification to your LinkedIn profile.

What payment options are available?

A place on any of our programmes can be secured with a 10% deposit.

For full-time (boot camp) programmes, the balance must be paid in full before course commencement.

For part-time programmes students will be required to pay 45% of the fees before the start of the course, with the remaining balance due within 30 days of the course commencing.

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

Pricing

Certificate in Data Analytics for Finance

Learn why the financial industry uses Python for programming and quantitative analysis such as understanding trading dynamics or risk management systems.

Course Price

€1,500 Enrol Now

Secure your place with a 10% deposit and pay the rest in instalments.