Data Analytics Essentials Certification Preparatory Course

• Create data models for analytics function on multiple data sources
• Prepping the data with Jupyter Notebook, Python & SQL Lab and perform diagnostics analytics with Apache Superset
• Select an appropriate machine learning algorithm at hand with Python & Scikit-learn

Anyone who want to:

• Prove their ability to perform self-service diagnostic analytics for insights
• Display their value to use low-cost and high-return open-source technology to improve daily performance
• Show their inclination to work productively with your colleague with data and analytics

• Completion of CDPOS Module 2
• Basic computer software skill
• Basic internet skill

50 Multiple Choices | 75 minutes (Module 3)

Analytics Process

• The analytics process of diagnostic and predictive analytics
• Data prep tasks- data collection, data cleansing, data munging and data visualisation
• Build analytics model – convert unstructured data into quantified metrics

Diagnostic Analytics Essentials

• Diagnostic analytics objectives, processes, data prepping and
• Data modelling for diagnostic analytics with Jupyter Notebook, Python and SQL Lab
• Data visualisation for diagnostic analytics – Apache Superset

Predictive Analytics Essentials

• Predictive analytics objectives, best practices, processes, data prepping and model building using Python, SQL Lab and Apache Superset
• Recognise and select an appropriate machine learning algorithm at hand
• Predictive modelling – decision-tree, clustering with Jupyter Notebook, Python and Scikit-learn

Mr. Patrick Tsoi

• Doctor of Education (in progress), Hong Kong Baptist University
• Master in IT in Education, University of Hong Kong
• Bachelor of Engineering in System Engineering and Engineering Management, Chinese University of Hong Kong
• An Experienced Trainer, Educator and Chief Data Scientist with a demonstrated history of working in the talent training and staff recruiting industry
• He is a strong IT training professional who is proficient in Hands-on Data Science Training, Learning Management, Instructional Design, Professional Services and Programming

Mr. Simon Mok

• M.Phil. Computer Science, University of Hong Kong
• MSc, Computer Science, Chinese University of Hong Kong
• He works as a Chief Technology Officer as well as a professional IT trainer
• Simon’s work includes software development projects, specializing in IT service management, full-stack web-based and mobile apps development, software testing, Internet security, AWS web services, big data, databases and NoSQL. He is a holder of many professional qualifications from Microsoft (MCSE, MCSD), Oracle (MySQL and Oracle databases), Exin (ITIL, ISO 20000), and more. On top of his identity of CTO, he is also a frequent trainer at the HKPC and various private enterprises, both domestically and internationally.