Professional Diploma In Data Analytics Course Price €1095. Flexible payment options available. Apply Online!
Embark on an exciting journey with our Certified Diploma in Data Analytics Course at the Dorset College Dublin Professional Academy. This 13-week, part-time online programme is designed to equip you with in-demand skills in predictive data analysis and data visualisation. It is ideal for business professionals, aspiring data analysts, IT specialists, and individuals looking to pursue a career in this rapidly growing field. You will gain the business intelligence tools and analytical techniques needed to make data-driven decisions and derive valuable insights from complex datasets.
Why Choose This Course?
✔ Live Online Training
✔ Hands-On Data Analysis Projects
✔ Career-Ready Skills
✔ Aligned with Emerging Industry Trends
✔ Delivered by Experienced Industry Experts
✔ Flexible Learning Options
✔ Strengthen Problem-Solving Abilities
✔ Built on Industry Best Practices
This course offers a practical, industry-focused approach to predictive data analytics, enabling you to analyse trends, forecast outcomes, and make informed decisions that support business growth and success. If you would like to learn more about this or any of our programmes, please contact [email protected] or call us on (01) 574 6850.
The Python Institute certification exam (cost included in the course fee) is structured as follows:
✔ PCEP – Certified Entry -- Data Analyst With Python Certification (Exam PCED-30-XX).
✔ Use Python for Data Analytics – Understand programming basics including syntax, variables, and control flow
✔ Prepare and Clean Data – Import, clean, organise, and manage messy datasets
✔ Manipulate Data – Apply Pandas for data transformation, filtering, and merging
✔ Visualise Data – Create clear, insightful charts and graphs to communicate findings
✔ Perform Statistical Analysis – Identify trends, patterns, and correlations
✔ Understand Machine Learning Basics – Explore regression, classification, and predictive modelling
✔ Integrate and Report Data – Combine datasets and present insights effectively
✔ Handle Real-World Data – Import, filter, analyse, and export data confidently
✔ Complete a Final Project – Apply newly acquired skills to a hands-on, practical analysis project
Week 1: Introduction to Data Analytics and Programming Fundamentals
✔ Explore the basics of data analytics, its applications, and programming concepts.
✔ Set up Python and learn its foundational syntax.
Week 2: Python for Data Analytics Foundations
✔ Learn key Python libraries for data analytics, such as Pandas, NumPy, and Matplotlib.
✔ Understand how to perform basic data manipulation, calculations, and visualisations.
Week 3: Data Importing and Cleaning
✔ Extract and clean data from sources like databases and the internet.
✔ Handle missing or inconsistent data effectively.
Week 4: Dataframes and Data Manipulation
✔ Learn to manipulate and transform large datasets using Python libraries like Pandas.
Week 5: Joining Data and Data Preparation
✔ Combine multiple data sources meaningfully.
✔ Develop skills in feature engineering and data preparation techniques.
Week 6: Data Visualisation with Python
✔ Understand the importance of data visualisation and use Python tools to create impactful visuals.
Week 7: Statistical Data Exploration
✔ Analyse data using statistical methods and summary statistics to uncover patterns and trends.
Week 8: Introduction to Modelling and Machine Learning Basics
✔ Learn the fundamentals of machine learning, including linear regression and classification.
✔ Explore supervised, unsupervised, and reinforcement learning algorithms.
Week 9: Data Importing, Filtering, and Exporting
✔ Import data from formats like CSV and Excel, filter and transform it, and export it in various formats.
Week 10: Presenting Data Effectively
✔ Format data for reports and create clear tables and visuals.
✔ Learn best practices for presenting insights to stakeholders.
Week 11: Final Project
✔ Complete a comprehensive data analysis project, applying skills in data importing, manipulation, and visualisation.
Data Analytics Classes at Dorset College Dublin are now 100% Online: You can now up-skill or re-skill from the comfort of your own home with expert led industry experienced lecturers who will provide you with inspirational lectures and all support materials you need to achieve your goals.
This aim of this course is to develop a solid understanding of data analytics and business intelligence for learners from non-IT and non-technical backgrounds, to equip the learner with essential skills for the entire data analysis process, from problem formulation to data collection, cleaning, analysis, visualization, and interpretation. Learners develop critical thinking and problem-solving abilities to apply data-driven solutions across various fields. The course emphasizes effective communication, enabling clear presentation of insights to technical and non-technical audiences through compelling visualizations and reports.
Assessment is continuous throughout the programme and consists of a personal project, & assignments.
✔ A project (100%) designed to showcase your ability to use Data Analytics with Python.
The Python Institute exam (cost included in the course fee) is structured as follows:
✔ PCEP – Certified Entry -- Data Analyst With Python Certification (Exam PCED-30-XX).
Upon successful completion of the Data Analytics Course, you will receive Data Analytics:
✔ A Diploma In Data Analytics Course Using Python from Dorset College Dublin
✔ Simply submit the online application form to get started.
✔ You can upload your photo ID later, it is not required to begin your application.
Once your application is submitted, a member of our team will contact you to guide you through the next steps. You’re welcome to start your application even if your documents aren’t ready yet. If you need any support at any stage, our Admissions Team is here to help at [email protected].
By the end, students will identify different data types, select appropriate analysis techniques, perform exploratory data analysis, create visualizations, conduct hypothesis testing, and apply these skills to real-world data.
✔ Mastering data science involves understanding different data types (quantitative, qualitative, structured, unstructured), identifying relevant data sources, and evaluating data quality for biases.
✔ Data preparation skills include cleaning, transforming, and structuring data for analysis.
✔ Exploratory analysis covers calculating descriptive statistics and creating visualisations (histograms, scatterplots, box plots) to explore data distributions and relationships.
✔ Hypothesis testing involves formulating and testing hypotheses, conducting basic statistical tests (t-tests, correlation analysis), and interpreting results.
✔ Effective communication skills are essential for selecting appropriate visualizations, explaining analysis results to non-technical audiences, and creating concise, informative reports.
To secure a place on this course a non-refundable deposit of €150 applies:
Flexible payment plans available.
| Deposit | €150.00 |
| 1st Instalment: | €316.00 - 17/02/2026 |
| 2nd Instalment: | €316.00 - 17/03/2026 |
| 1st Instalment: | €316.00 - 17/04/2026 |
