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This course is a collaboration between UTS and Coder Academy, aimed at data professionals - whether you model data or interrogate it for conclusions.
Whether your job is to analyse, extract, or draw conclusions from data, this course will provide you with new tools to clean and process the massive amount of data sets out there.
It’s reported that data scientists spend between 50 to 80% of their time on data cleaning and feature engineering, which can be the most time-consuming and least enjoyable part of their work. This course aims to provide data professionals with new tools to clean and process the massive amount of messy data sets out there and to help them become more proficient at data manipulation.
This intensive course is conducted over two three-hour evening sessions and covers:
This course is designed for professionals or researchers with a working knowledge of Python who’re frustrated with the challenges of working with messy or unstructured data – attendees might include business analysts, consultants, data analysts, digital marketers, data journalists, librarians, and researchers.
Ramon is a data scientist and instructor at Coder Academy and a research associate at INSEAD. He works at the intersection of education, data science, and research in the areas of entrepreneurship and strategy. He has previously worked in consumer behaviour and development economics research in professional and academic settings, helping multinational companies understand their customers better and developing new methods to study the levels of financial literacy across the globe. Ramon holds a BSc in economics, finance and marketing, and an MA in Economics. In his spare time, he enjoys cycling, baseball, CrossFit, and finding new coffee shops around Sydney.
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Learn tools, processes and methodologies to help you adapt to disruption and complex problems.