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This course is a collaboration between UTS and Coder Academy, aimed at data professionals. Whether your job involves cleaning, manipulating, extracting, or drawing conclusions from data, this course will provide you with new tools to access the massive amounts of data stored on the web.
A recent report from Deloitte Access Economics suggests that the world creates an additional 2.5 quintillion bytes of data each year, with 90 percent of all data in existence being created in just the last two years. Unstructured data makes up around 80% of the data that organisations are producing. This includes emails, social media posts, photos, videos, word documents, PDF’s and instant messages.
Unstructured data presents both huge opportunities and challenges. If managed appropriately, it can help with new product development, increase sales leads, help with meeting compliance requirements, improve data governance, detect patterns throughout different social media channels, and inform decision making.
On the flip side, poorly managed, unstructured data can present a growing and expensive storage problem and a major cyber risk.
This course will provide you with the tools necessary to capture, manipulate, clean, and store unstructured data coming from the web.
For more information on the UTS & Coder Academy course collaboration, or to contact the Coder Academy team directly, follow this link.
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 looking to work better with data from multiple sources – 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.
This online course runs for a small group of up to 50 participants, and registration for each session closes at midnight the day prior to the class.
An online introduction to the fundamentals of Deep Learning and Neural Networks.
An online introduction to the key technologies, context, and current deployment of 5G networks.
Learn how to use Python to professionally design, run, analyse and evaluate online A/B tests.
A primer for directors on the cyber landscape and managing cyber breaches.
Learn how to use Python for data cleaning, feature engineering, and visualization.
Level up your Python skills and learn how to extract, clean and work with unstructured data from the web.
Learn how to apply Bayesian statistics to your Python data science skillset.