Gain a global perspective on Data Science and Machine Learning. Our immersive bootcamp connects you with instructors that have global experience. Collaborate on real-world case studies, master Python in live online classes, and build stunning projects ready for international employers.
Someone with no prior experience or formal education in UX design.
Individuals who are transitioning from one profession to another.
Professionals looking to enhance their skills to their current roles.
None, but basic programming knowledge is encouraged. Python coding fundamentals are covered in the prep work.
Junior Data Scientist, Data Analyst, Data Engineer, Machine Learning Engineer, BI Associate
We aim to keep our courses as accessible as possible. Ask our sales team to learn more.
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Personalize your schedule with 1-on-1 Courses. Ask our sales team for more details.
Avishek is the Head of Data Science Courses at Xccelerate and an experienced Research Engineer. In the past, he has developed several novel methods to segment objects from images and videos.
Steve is an experienced business analyst with a decade of experience in international companies in Hong Kong and Shenzhen. He is a skilled Data Analyst with proven track record in growing businesses.
Master the basics of Data Science and Machine Learning to get ahead of the game
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Get unlimited access to all our courses and 1:1 Data Science and Machine Learning mentoring
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UX Research: Build a solid foundation in UX research methods, conduct user research, create user personas, and develop user flows.
UI Design: Master UI design principles and industry-standard tools to develop aesthetically pleasing and functional designs.
Product Design: Gain comprehensive skills in product and service design, coupled with a strategic design mindset.
System Design: Analyse real-world problems and provide meaningful user-centered design solutions to relevant stakeholders
Industy Experience: Experience working on real-client projects and collaborating with cross-functional teams to solve practical problems.
If you still have questions or you're unsure about which course is right for you, send us an email or schedule a free call to find out more.
Beginners and students with previous experience in similar realms will be able to get something out of this bootcamp. If you put the right time and effort into this bootcamp, you have a very good chance of starting a new career or advancing in your current career.
Bootcamp is a term commonly used for programs that help individuals learn many key skills in a condensed period of time. In that sense, this program could be considered a Data Science Bootcamp given the amount you will learn.
Many students demonstrate the desire to use these skills in international work environments, not exclusive to Hong Kong. Because of this, English is generally the medium of instruction however we do offer support in Cantonese. For those desiring the ability for remote roles, English also offers a large advantage.
We have been running this bootcamp for over 6 years in Hong Kong and hundreds of our students have received jobs both inside and outside of Hong Kong. Students who apply themselves through the program will be qualified for roles both in and around Data Science.
This is the longest running Data Science and Machine Learning bootcamp in Hong Kong. We have developed a positive reputation on behalf of the hundreds of students that have gone on to accept jobs and our ability to work with medium and large organizations on real projects is second to none. In addition, we provide many opportunities for employment seeking and active networking given our longstanding relationships.
We want to make sure that there is a mutual fit between our programs and our students. Afterall, a positive experience reflects well on us. We recommend that you set up a quick call with us so that we can assess your desired outcomes and fit for the program. We take pride in our ability to present well-equipped students to organizations, so you can be rest assured that we also screen candidates for the program.