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About the Postgraduate Diploma in Data Science
Program Highlights
- Duration: 3 Months
- Modules: 3
- Credit Value: 24 ECTS
Key Learnings
- Gain in-depth knowledge of machine learning algorithms, including how to build, train, and evaluate models for predictive analytics.
- Learn techniques to improve the performance of machine learning models and apply these methods to real-world business problems.
- Understand how to critically analyse business problems, identify opportunities, and apply advanced analytics to drive data-informed decisions.
- Develop skills to handle large datasets, perform statistical analyses, and create compelling data visualizations to communicate insights effectively.
- Acquire the ability to collect, clean, and analyse data, uncovering patterns and trends through exploratory data analysis.
- Develop the capability to interpret data analysis results and present findings to both technical and non-technical stakeholders.
The program is structured into three modules. Upon completion, learners will earn up to 24 ECTS credits.
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Modules
Upon completion of the module, learners will be able to:
- Understand various machine learning algorithms and their applications in predictive analytics.
- Learn how to build, train, and evaluate machine learning models using appropriate metrics and techniques.
- Acquire knowledge of techniques to enhance model performance.
- Gain experience in applying machine learning algorithms to real-world datasets, solving business problems, and making data-driven decisions.
- Develop proficiency in collecting, cleaning, and analysing large datasets using statistical techniques and programming languages.
- Gain the ability to effectively communicate insights and patterns from data through compelling visualizations.
- Learn techniques for exploratory data analysis to uncover hidden patterns and trends.
- Develop skills to interpret data analysis results, draw meaningful conclusions, and effectively communicate findings to both technical and non-technical stakeholders.
- Critically analyse business problems and discuss the opportunities for organizations to become more analytical and data-driven to solve such problems.
- Evaluate different categories of analytics.
- Critically analyse the importance of analytics in social media functions.
- Apply a broad range of advanced applications of analytics to a chosen business.
About Guglielmo Marconi University
Guglielmo Marconi University is a modern institution known for its innovative education and strong ties with leading tech organizations. Accredited by the Italian Ministry of Education, it offers internationally recognized programs across various levels, including graduate, doctoral, and certificate courses. The university is renowned for high standards in program quality and fosters a collaborative learning environment that emphasizes critical thinking and creativity. With a strong focus on research and interdisciplinary programs, Marconi University addresses real-world challenges and job market demands.
Highlights:
- First Italian Open University recognized by MIUR.
- Accredited by DOATAP since 2010
- Top 25 globally in U-Multirank for International Joint Publications, Open Access Publications, and Regional Joint Publications
- 16,000+ students, 300 faculty members, 200 tutoring experts.
- Top-ranked online university for distance learning programs.
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By providing your contact details, one of our academic advisors will contact you soon.
