The best way to learn anything is to build what you don’t know. We emphasize on using projects as a way to help students learn the essential technical aspects of data science. Having partnered with some of the local start-ups and e-commerce firms, we will be collaborating with them to facilitate in building a world-class group of data scientists in Hong Kong.
Using the leading data scientist languages Python and R, we will put students to work on the most common Big Data and Machine Learning problems that a data scientist will face. From scraping data to deploying machine learning algorithms on to cloud, we hope to give students a glimpse of how data analytics is being used in the real world.
In the first project, we will work on teaching students how to gather data sources from multiple websites to build a statistical model to make a prediction. To keep this project interesting for our students, we will work with students to develop a machine learning model that can help forecast stock prices in the Hong Kong Stocks Exchange.
In the third project, we will work together to help a local e-commerce company deploy a product recommendation engine to their e-commerce website; this will teach students to learn the essential concepts in developing a product recommendation engine and deploying it to cloud.
In the last project, students will have the opportunity to build a web application that can systemically analyze massive amounts of online conversations and present it into an app. The objective of this project is to help students develop the skillset to handle a large amount of data as well as witness the end-to-end results of deploying a machine learning model.
By the end of the course, each student will be given an exam to test the skills they have learned. Candidates with exceedingly high scores will be given an opportunity to work alongside some of the local start-ups and corporations to develop the next big data science project.
Fill out the form below to register for the Data Science Professional course! We will contact you shortly afterwards.