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UNIVERSITY OF CINCINNATI DATA ANALYSIS METHODS HOW TO
UNIVERSITY OF CINCINNATI DATA ANALYSIS METHODS PROFESSIONAL

Visualise data for exploratory and confirmatory analysis and visualise model evaluations to assess business value / usefulness. UC graduates are lifelong learners: Adapt to complexity, ambiguity and change by being flexible and keen to engage with new ideas. UC graduates are professional: Use creativity, critical thinking, analysis and research skills to solve theoretical and real-world problems.

UC graduates are professional: Employ up-to-date and relevant knowledge and skills communicate effectively and use creativity, critical thinking, analysis and research skills to solve theoretical and real-world problems.Įvaluate predictive models: how well do models predict a phenomenon?

UNIVERSITY OF CINCINNATI DATA ANALYSIS METHODS PROFESSIONAL

UC graduates are global citizens: Adopt an informed and balanced approach across professional and international boundaries.Īdvanced ability to apply data science solutions, data visualisation tools, data analysis skills and data mining tools to enable deep and effective analysis of data and information.

UC graduates are professional: Employ up-to-date and relevant knowledge and skills and use creativity, critical thinking, analysis and research skills to solve theoretical and real-world problems. Through appropriate research, be able to apply established theories to produce quantitative analyses and data-driven / evidence-based predictions on real-world data. Interact with databases to query for relevant info, store data and deal with big data: mining massive amounts of information.ĭemonstrate an advanced and integrated understanding of, and advanced abilities to utilise: Information technology and statistical tools in collecting, processing, analysing and extracting meaning from such diverse and extensive data sources.Ībility to transform raw data into features that are useful for predictive models. Have an advanced and integrated understanding of the common tools for programming, development and data management to enable basic database querying for data access, data processing, visualisation, and machine learning. UC graduates are lifelong learners: Evaluate and adopt new technology. UC graduates are global citizens: Make creative use of technology in their learning and professional lives. UC graduates are professional: Employ up-to-date and relevant knowledge and skills.

Earn an industry recognised and respected qualificationĭemonstrate an advanced and fully operational set of specialised skills and knowledge in the underpinning mathematics and statistics to enable understanding of the appropriate tools to analyse data.

Learn and apply professional ethics, teamwork, critical analysis, communication and management skills.

Gain practical skills working on real world issues.

UNIVERSITY OF CINCINNATI DATA ANALYSIS METHODS HOW TO

Learn how to critically analyse databases and offer innovative solutions.

Become proficient using state-of-the-art industry tools.

Learn the knowledge and skills to read and interpret Big Data.

Study a Master of Data Science at UC and you will: This course offers the chance to specialise in Sports Analytics, Business Intelligence, Artificial Intelligence & Computational modeling. Using a unique combination of interdisciplinary coursework, a strong background in research methodology and comprehensive training via industry-based projects (work-integrated learning), this course will uniquely position graduates of this course to become leaders in this field in either industry, the government sector or academia. To help process and navigate this vast and ever-growing mass of data, the industry desperately needs trained specialists who can understand and interpret vast amounts of data (big data), while providing effective and ethical ways to protect the privacy of that information. If you consider yourself a big picture thinker, then the UC Master of Data Science is the course for you, as not only will it introduce you to a whole new world of data interpretation, it will also teach you the skills to recognise, interpret and ultimately manage trends at both a micro and global scale.ĭata analysis and modelling underpins all aspects of social and community development and thanks to the internet and smart phones there has been a dramatic growth in the scale and complexity of data that can be collected and analysed across industries including health care, sports, business practices, scientific discoveries and government policy.