Certificate in Introductory Data Analytics

Self Study + Live Online LearningNext Course Starts Nov 17thfrom €1,500

Develop your data analysis skills with a Certificate in Introductory Data Analytics. With this course you can become a valuable contributor to your organisation’s decision-making process. The demand for data science skills far outstrips supply as organisations increasingly rely on data and insights to drive economic growth, innovation, and digitisation.

Why UCD Professional Academy?

  • Valuable, trusted qualification
  • Expert data analytics mentor
  • Flexible live online learning

Last places remaining for upcoming courses. Don't miss out!

Course Information for Introductory Data Analytics

€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 17 Nov - Ends 19 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

Wednesdays, 6.30pm - 7.30pm

Starts 20 Jan - Ends 10 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

Thursdays, 6.30pm - 7.30pm

Starts 15 Feb - Ends 05 Apr 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 24 Mar - Ends 12 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

Thursdays, 6.30pm - 7.30pm

We've trained the employees of...

What our alumni say about our Certificate in Introductory Data Analytics

I would recommend this course because Data Analytics is a top in-demand job today and having the basic skills in this field is always beneficial. Learning to use data and visualise it will be useful in any job! Self-learning was important in this course but there was also the interactive element with the lecturer.

Malvika Oke


Senior Administrator Screening Services, Amazon

I enjoyed the Certificate in Introductory Data Analytics as I’m a technical person and enjoy the field of Data Analytics in general. The course gave a very good introduction to Python and it has given me the tools to be able to access data online and extract the pertinent information.

Roger Woods


Senior Executive Engineer, BAI

I really enjoyed my time doing the Certificate in Introductory Data Analytics. I think Data Camp was really great and helpful, and my professor was really knowledgeable. The course was very informative and a great jumping off place, so I would absolutely recommend it to others. 

Macia Pinkwas


The Certificate in Introductory Data Analytics was a very enjoyable experience - it provided interesting insights which I expect to use as I move into coding down the road.

Matthew Ryan


The Certificate in Introductory Data Analytics really helped me focus on a possible future career in Data Analytics. I found the detail and the real life focus of the course really useful and the course guided me on what a career on Data Analytics looks like. I would strongly recommend this course!

Peter Kenny


Demand and Supply Planner, Merck

Certificate in Introductory Data Analytics course content and learning outcomes

Using open-source programming language and real-world datasets, you will learn to work with large volumes of data from different sources and apply statistical analysis to gain useful and actionable insights.

What will I learn about Data Analytics?

image

This interactive, hands-on course will give you a thorough grounding in the algorithms, methods, and tools that can be used to analyse and understand large datasets.

Using Python programming language on DataCamp’s world class learning platform, you will process data – importing, cleaning, formatting, and manipulating it – and then create data visualisations to present different kinds of information. Weekly mentoring sessions with your data analytics industry expert will help translate this theoretical learning into practical work-based knowledge. This qualification will prove to potential employers that you are a skilled professional who can help them derive meaning and value from the large volumes of data they hold.

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


image

Introductory Data Analytics Course Modules:

Introduction To Python

Introduction To Python

Learn why this general-purpose programming language is so popular for data science. Discover helpful data science tools and powerful ways to store and manipulate data. Begin conducting your own analyses.

Download Brochure
  • Python concepts and data types
  • Use lists to organise data
  • Use functions, methods, and packages
  • Work with the NumPy array
Download Brochure

Intermediate Python

Intermediate Python

Learn key concepts such as Boolean logic, control flow, and loops in Python. Bring together these core skills to solve a case study using hacker statistics.

Download Brochure
  • Data visualisation with Matplotlib
  • Dictionaries and the pandas DataFrame
  • Logic, control flow, and filtering
  • Looping and iteration
  • Case study: hacker statistics
Download Brochure

Introduction To Importing Data In Python

Introduction To Importing Data In Python

Learn the many ways to import data into Python: flat files (txt/ csv); software files such as Excel spreadsheets, Stata, SAS, and MATLAB; and relational databases such as SQLite and PostgreSQL.

Download Brochure
  • Importing from flat files
  • Importing from software files
  • Working with relational databases
Download Brochure

Intermediate Importing Data In Python

Intermediate Importing Data In Python

Discover how to import data from the web. Pull data from Application Programming Interfaces (APIs) such as the Twitter streaming API, which allows us to stream real-time tweets.

Download Brochure
  • Importing data from the internet
  • Interacting with APIs
  • Deep dive into the Twitter API
Download Brochure

Data Manipulation With Pandas

Data Manipulation With Pandas

Explore all the core data science concepts with pandas, the world's most popular Python library. Manipulate DataFrames as you extract, filter, and transform real-world datasets for analysis.

Download Brochure
  • DataFrames and fundamental manipulations
  • Aggregating data
  • Slicing and indexing
  • Creating and visualising DataFrames
Download Brochure

Joining Data With Pandas

Joining Data With Pandas

Learn to handle multiple DataFrames by combining, organising, joining, and reshaping them using pandas. You'll again work with real-world data sets (the World Bank and the City of Chicago).

Download Brochure
  • Data merging basics
  • Different join types
  • Advanced merging and concatenating
  • Ordered and time-series data
Download Brochure

Introduction To Data Visualisation With Matplotlib

Introduction To Data Visualisation With Matplotlib

Matplotlib provides the building blocks to create rich visualisations of many kinds of datasets. Learn to create visualisations for different kinds of data and customise, automate, and share these visualisations.

Download Brochure
  • Using the Matplotlib visualisation library
  • Plotting time-series
  • Quantitative comparisons and statistical visualisations
  • Sharing visualisations with others
Download Brochure

Introduction To Data Visualisation With Seaborn

Introduction To Data Visualisation With Seaborn

Use Seaborn in a variety of situations to explore your data and effectively communicate your analysis with visualisations such as scatter plots, box plots, and bar plots.

Download Brochure
  • Using Seaborn
  • Visualising two quantitative variables
  • Visualising categorical/quantitative variables
  • Customising Seaborn plots
Download Brochure

Intermediate Data Visualisation With Seaborn

Intermediate Data Visualisation With Seaborn

Use Seaborn's sophisticated visualisation tools to analyse multiple real-world data sets including the American Housing Survey and guests from TV’s The Daily Show. Customise Seaborn plots for your unique needs.

Download Brochure
  • The Seaborn library
  • Customising Seaborn plots
  • Additional plot types
  • Plots on data-aware grids
Download Brochure

Have questions about the Certificate in Introductory Data Analytics?

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

Download Brochure

Is this course right for me?

You do not need a prior qualification in data analysis, but we do 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.

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.

Data science is a rewarding career where you will be central to finding solutions to business challenges as well as spotting opportunities.

How will this course help with my career?

Data science is booming. Data Scientist has been in the top 10 of LinkedIn’s list of Emerging Jobs Report for the past few years, and demand outstrips supply. You will find opportunities in a wide range of sectors, from global tech companies to banking, from healthcare to retail. There are data roles in most industries, plus you can choose to specialise in a particular area (e.g. finance or marketing). The average salary of a data scientist in Ireland is €49,000.

What is the online learning experience like?

Our online experience is designed to be just as interactive, supportive, and inspiring as the UCD Professional Academy campus experience.

Online courses can be accessed from any computer or laptop with an internet connection.

The DataCamp platform, where you will transform your data skills is trusted by over 6 million learners globally. All of your learning happens in-browser, so there’s no need for installation of heavy and costly software programmes.

Your learning is supported by weekly live 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 Introductory Data Analytics

Join one of the fastest-growing career paths. Learn to use data as a catalyst for economic growth, innovation, and digitisation.

Course Price

€1,500 Enrol Now

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