Diploma in Data Analytics

Program Overview

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The Diploma in Data Analytics from DBS equips learners with the fundamentals of data analytics and business intelligence. Through a combination of classroom instruction and online resources, the program develops analytical skills, problem-solving abilities, and practical knowledge in data pre-processing, statistical techniques, machine learning, and data visualization. Graduates are prepared for careers as data analysts, data scientists, and other roles in the growing field of data analytics.

Program Outline

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Program: Diploma in Data Analytics

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Degree Overview:

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Objective:

• Equip learners with the fundamental principles of data analytics and business intelligence.
• Foster analytical skills and knowledge by applying analytical processes, methods, and algorithms to real-world business challenges.
• Empower graduates to analyze data and develop predictive models using user-friendly tools.
• Enable graduates to translate data analytics and business intelligence knowledge into practical applications for enhanced business operations.

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Delivery:

• Designed for learners with diverse backgrounds, including those without technical knowledge or those with limited data analytics experience.
• Focuses on developing analytical skills and problem-solving abilities.
• Encourages time management, presentation, report writing, and analytical skills development.
• Employs a combination of classroom instruction, live discussion forums, and Moodle resources.

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Outline:

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Key Subject Areas:

• Importance of Data: Discusses various data types, data quality, and errors in data.
• Data Sources: Explores different data sources like flat files, spreadsheets, and databases.
• Data Pre-processing: Covers techniques like aggregation, sampling, dimensionality reduction, and feature subset creation.
• Statistical Techniques: Analyzes measures of central tendency, scatter charts, correlation, regression analysis, and logistic regression.
• Supervised and Unsupervised Machine Learning: Introduces techniques like decision trees, support vector machines, k-nearest neighbors, k-means clustering, neural networks, and model development, testing, validation, and interpretation.
• Data Visualization: Explores data visualization tools and techniques for generating charts and graphs, creating filters, and developing dashboards.

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Structure:

• Delivered over 12 weeks, with a focus on key subject areas.
• Continuous assessment throughout the program.
• Weekly activities include classroom, live discussion forums, and Moodle resources.
• Designed to equip students with the knowledge and practical skills of data analytics for business application.

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Assessment:

• Completion of two practical data analytics assignments (individual and group assignments).
• Assignments focus on developing data analytics skills and knowledge, along with problem-solving, time management, presentation, report writing, and analytical skills.
• Program is not on the National Framework of Qualifications (NFQ).

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Careers:

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Target Audiences:

• ICT professionals seeking advancement in data analytics.
• Professionals aiming to upskill themselves in data analytics.
• Individuals seeking to apply data analytics skills in their current roles.

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Potential Career Opportunities:

• Data Analyst
• Data Scientist
• Data Administrator
• Data Consultant
• Leadership roles in Big Data and Analytics

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Other:

• The program addresses the increasing need for data analysts across various industries, creating added value for businesses and society.
• Successful graduates can find employment in diverse fields like healthcare, finance, insurance, and cloud computing.
• The demand for professionals with expertise in data analysis is growing rapidly.

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Delivery Information:

• Begins in February 2024.
• Schedule: 1 evening per week, 6:15 pm - 9:30 pm.
• Duration: 12 weeks (part-time).
• Mode: Online Classes.
• Fee: €1,500 (inclusive of tuition, registration, exam fees, and DBS library membership).

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Further Information:

• Prospective students can attend Open Events to receive guidance and information from leading academics.
• DBS Student Facilities: Online Notes System (Moodle), DBS Library Aungier Street, DBS Careers and Appointment Service, Subsidised Parking, Subsidised Student Canteen.

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Contact:

• Email: admissions@dbs.ie
• Phone: 01 417 7500
• Opening times: Monday to Friday, 8:45 am - 5:15 pm

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Additional Resources:

• View all DBS Evening Diploma fees here.
• Find out when the next Open Event is taking place.
In such cases, the extracted information will be included in the "Other" section.

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The fee for the Diploma in Data Analytics is €1,500. This is inclusive of tuition, registration, exam fees and DBS library membership.