Big Data Capstone Project

Обучение бесплатное
Сертификация платная
1 час курса
О курсе

The Big Data Capstone Project will allow you to apply the techniques and theory you have gained from the four courses in this Big Data MicroMasters program to a medium-scale data science project.

Working with organisations and stakeholders of your choice on a real-world dataset, you will further develop your data science skills and knowledge.

This project will give you the opportunity to deepen your learning by giving you valuable experience in evaluating, selecting and applying relevant data science techniques, principles and theory to a data science problem.

This project will see you plan and execute a reasonably substantial project and demonstrate autonomy, initiative and accountability.

You’ll deepen your learning of social and ethical concerns in relation to data science, including an analysis of ethical concerns and ethical frameworks in relation to data selection and data management.

By communicating the knowledge, skills and ideas you have gained to other learners through online collaborative technologies, you will learn valuable communication skills, important for any career. You’ll also deliver a written presentation of your project design, plan, methodologies, and outcomes.

Big Data Capstone Project
Further develop your knowledge of big data by applying the skills you have learned to a real-world data science project.
Что Вы изучите?
  • The Big Data Capstone project will give you the chance to demonstrate practically what you have learned in the Big Data MicroMasters program including:How to evaluate, select and apply data science techniques, principles and theory;
  • How to plan and execute a project;
  • Work autonomously using your own initiative;
  • Identify social and ethical concerns around your project;
  • Develop communication skills using online collaborative technologies.
Nick Falkner
Nick Falkner
Associate Professor, School of Computer Science University of Adelaide
Nick loves teaching and does most of his education research into the areas of motivation, time management and effective teaching delivery. He also looks at the role of social networks in forming strong communities for learning, to identify positive and supportive behaviour that will lead to better outcomes for everyone.
Gary Glonek
Gary Glonek
Associate Professor, School of Mathematical Sciences University of Adelaide
Gary is a lecturer in statistics and the Head of the School of Mathematical Sciences at the University of Adelaide. His research interests are in statistics, especially with applications in bioinformatics. He is also interested in applied statistics and has undertaken consultancies across a wide range of areas, including road safety, wine quality and healthcare policy.
Lingqiao Liu
Lingqiao Liu
Researcher, School of Computer Science University of Adelaide
Lingqiao is a researcher in the School of Computer Science at the University of Adelaide. His research focuses on machine learning, in particular its applications in computer vision and multimedia signal processing. He builds tools for recognising objects and activities in images or videos, for automatically learning visual knowledge from the Internet, and for composing music by computers.
Gavin Meredith
Gavin Meredith
Research Associate, School of Computer Science University of Adelaide
Gavin is a research associate and tutor in the School of Computer Science at the University of Adelaide. He has been developing courses for the Big Data MicroMasters program and tutoring students in several first and second year computer science courses, including Introduction to Programming, Object Oriented Programming, Algorithm Design and Data Structures, and Problem Solving and Software Development.
Ian Knight
Ian Knight
Lecturer, School of Computer Science University of Adelaide
Ian is a lecturer and tutor in the School of Computer Science at the University of Adelaide, where he teaches Networks, Operating Systems and Web Computing. He is passionate about helping his students get the most out of their courses, and developing resources to further their understanding. Ian's area of interest lies in network optimisation as well as system design and implementation.
Эта платформа предоставляет все курсы бесплатно. Авторами выступают топовые университеты и корпорации, которые стараются удерживать стандарты качества. За несоблюдение дедлайнов, невыполнение домашнего задания студенты теряют баллы. Как и в других платформах, лекционные видео чередуются с практическими заданиями. Обучение проводится на английском, китайском, испанском, французском и хинди.
Big Data Capstone Project