This course introduces the fundamental process of data science and provides the necessary computational and statistical foundations for further courses in the Master of Data Science. Design thinking methodology will be utilised to approach complex data science problems as a design problem.

Completion of Queensland Year 12 or equivalent Mathematics B and aﾠ3-year undergraduate degree with a major in computer science, IT, statistics, mathematics, engineering, or a program with substantial quantitative competencies sufficient to allow timely completion of the master of data science.ﾠ.

Effective environmental management strategies therefore require contributions from: scientific, political, economic, cultural, social and legal perspectives. Accordingly, this course will be of interest to students from a range of fields, in addition to environmental management students.

This course covers important macroeconomic issues such as growth, inflation, unemployment, interest rates, exchange rates, technological progress, and budget deficits.

This is an introductory, inter-disciplinary course providing an overview to the key non-technical and technical concepts behind the preventative, offensive and defensive aspects of cyber security. Through coordinated lectures, expert guest lectures and tutorials covering case studies and real-world examples.

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It is Figure: the R logo. stable, powerful, and widely used. An interpreter-based programming, graphics and statistics package. Free, stable, can be extended. Can easily perform standard statistical and numerical analysis. Can be programmed to handle non-standard cases.

ECON7001 is a blended-learning course with the following learning activities:ﾠ. Weeklyﾠ 2-hour in-person tutorials ﾠduring Week 1 to 13 (note:ﾠtutorial starts from Week 1). What is the difference between the online lectures and in-person lecture?

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