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Hurry! Save 10% on select upcoming courses. Enrol by 30th September. Only remaining!Download Brochure
Data Analytics for Marketing Course Modules
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.
1. 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.
- Basic Python
- Functions and packages
2. 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.
- Dictionaries and pandas
- Logic, control flow, and filtering
- Case study: hacker statistics
Learn how to manipulate DataFrames with Pandas 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.
- Transforming data
- Aggregating data
- Slicing and indexing
- Creating and visualising dataframes
- Analysis of Walmart sales figures
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
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
- Relational Databases
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 real world datasets.
- Data merging basics
- Merge tables-join
- Advanced merging and concatenating
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.
- Introduction to matplotlib
- Plotting time-series
- Quantitative comparisons and statistical visualisations
- Sharing visualisations with others
8. Machine Learning for Marketing
Machine learning is being used to optimize customer journeys which maximize their satisfaction and lifetime value. You will learn how to use different techniques to predict customer churn and interpret its drivers, measure, and forecast customer lifetime value, and finally, build customer segments based on their product purchase patterns.
- Linear regression
- Neural Networks
- Deep Learning
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.Download Brochure
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Frequently Asked Questions
Is this course right for me?
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 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?
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 certificates and awards 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 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 Awards & 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 qualification to your LinkedIn profile.
What payment options are available?
A place on any of our programmes can be secured with a 5% 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/
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- Weekly Live tutorial classes
- Access to DataCamp's learning platform
- Complete in 8 Weeks