Certificate in Data Analytics for Marketing

Self Study + Live Online LearningNext Course Starts Jan 20thfrom €1,500

With this course you can develop your ability to convert data into intelligent visualisations for marketing decision-making, including visualising geospatial data with this Certificate in Data Analytics for Marketing. The Gartner CMO Survey 2020 shows that data science is one of the top five marketing skills employers are now pivoting towards.

Why UCD Professional Academy?

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

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

Course information for Marketing Data Analytics

€1,500

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

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Showing dates for: Jan - Mar 2022

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 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

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Certificate in Data Analytics for Marketing course content and learning outcomes

Learn to measure cause and effect in marketing campaigns, using Python to analyse and visualise datasets from different sources. Develop geospatial representations to leverage marketing insights based on geographical context.

What will I learn about Data Analytics for Marketing?

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Working on DataCamp’s world-class learning platform, you will learn how to create compelling visualisations of data using Python libraries such as Matplotlib, Seaborn, and Bokeh. You will effectively convert data into intelligence to leverage marketing success with visualisations of data from different sources that deliver valuable insight for marketing. Weekly mentoring sessions with a data industry expert will help translate theoretical learning into practical knowledge you can apply to your role.

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

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Data Analytics for Marketing Course Modules:

Introduction To Python

Introduction To Python

Learn how Python is used for data science. Discover powerful ways to store and manipulate data, and helpful data science tools to begin conducting your own analyses.

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  • Basic Python
  • Lists
  • Functions and packages
  • NumPy
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Intermediate Python

Intermediate Python

Learn to visualise data with Matplotlib's functions and discover data structures such as the dictionary and the pandas DataFrame. Understand key concepts such as Boolean logic, control flow, and loops.

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  • Matplotlib
  • Dictionaries and pandas
  • Logic, control flow, and filtering
  • Loops
  • Case study: hacker statistics
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Data Manipulation With Pandas

Data Manipulation With Pandas

Learn how to manipulate DataFrames as you extract, filter, and transform real-world datasets for analysis. Import, clean, calculate statistics, and create visualisations using pandas, the world's most popular Python library.

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  • Transforming data
  • Aggregating data
  • Slicing and indexing
  • Creating and visualising dataframes
  • Analysis of Walmart sales figures
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Introduction To Data Visualisation With Matplotlib

Introduction To Data Visualisation With Matplotlib

Learn to use Matplotlib, a data visualisation library, to visualise data in plots and figures, exposing underlying patterns. Using different kinds of data, understand how to customise, automate, and share visualisations.

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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 Data Visualisation With Seaborn

Introduction To Data Visualisation With Seaborn

Learn to use the Python library, Seaborn, to create informative and attractive visualisations - scatter plots, box plots, and bar plots. Understand the advantages of Seaborn as a statistical visualisation tool.

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  • Introduction to Seaborn
  • Visualising two quantitative variables
  • Categorical and quantitative variables
  • Customising Seaborn plots
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Intermediate Data Visualisation With Seaborn

Intermediate Data Visualisation With Seaborn

Discover Seaborn's sophisticated visualisation tools to analyse multiple real-world datasets. Use its functions to visualise your data in several different formats and customise Seaborn plots for your unique needs.

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  • Customising Seaborn plots
  • Additional plot types
  • Creating plots on data-aware grids
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Interactive Data Visualisation With Bokeh

Interactive Data Visualisation With Bokeh

Bokeh is an interactive data visualisation library that targets modern web browsers for presentation. Learn to create versatile, data-driven graphics and connect your data science stack to create rich, interactive visualisations.

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  • Plotting with Bokeh
  • Layouts, interactions, and annotations
  • Building interactive apps with Bokeh
  • Case study: Gapminder dataset
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Visualising Geospatial Data In Python

Visualising Geospatial Data In Python

Learn to make attractive visualisations of geospatial data with the GeoPandas package, spatially joining datasets and linking data to context. Overlay geospatial data to maps to add even more spatial cues.

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  • Building two-layer maps
  • Creating and joining geodataframes
  • Geoseries and folium
  • Creating a Choropleth map
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Have questions about the Certificate in Data Analytics for Marketing?

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 but should have some marketing experience as this course looks at data analysis in marketing but does not cover marketing concepts. In addition, we have to 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)

If you have found yourself asking questions about why different marketing activities, content, or channels get better results than others, developing your data analysis skills will help you to find the answers. You will learn to visualise data and understand the relationships between data's physical location and its geographical context.

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?

To judge return on investment, organisations need to understand how their marketing strategy is performing across all channels. As customer expectations rise, better intelligence is needed to guide product development, customer support, and service delivery. Only sound data analysis can achieve this.

If you are looking to level up in your career, or perhaps bring a more data-driven decision-making process to your organisation, this practical and interactive course will demonstrate your knowledge and skill in data analytics for marketing.

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 marketing 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 dataset – you will retrieve, manipulate, and process the dataset, 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 Marketing

Develop your ability to glean valuable insights from campaigns, products, or services and deliver better marketing outcomes using Python.

Course Price

€1,500 Enrol Now

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