Aug 29 - Mar 13, 2023
from HK$29,000
26 weeks, English and Chinese
Terms and conditions apply.
Join our bootcamp and receive a Microsoft Surface Pro 8
Specs: SP8, Intel Core i5/128GB SSD/8GB RAM
*Valid until July 31st and limited to 15 spots
Aug 29 - Mar 13, 2023
Monday to Thursday
Taught in: English and Chinese
Hybrid Flex
HK$ 49,000
Join class on-campus or watch via online livestream
or 12 payments of
HK$4,083
over 12 months with
or 3 payments of
HK$16,333
over 3 months with
Remote Learner
HK$ 29,000
Join lectures via livestream from anywhere
or 12 payments of
HK$2,417
over 12 months with
or 3 payments of
HK$9,667
over 3 months with
60%
booked
Graduates work at some of these companies and more
This Full-Time Data Science and Machine Learning Bootcamp is highly immersive and designed for students who want to gain data-science knowledge in the A.I. industry and it’s the best Programming Bootcamp in Hong Kong. In this 16-week Data Science and Machine Learning Course, you will learn the building blocks and tools that will empower you to tackle, build and deploy AI machine learning projects. You will learn to use Python for Data Science, Scikit-learn, Keras TensorFlow and Tableau to collect, clean and transform data to gain valuable insights and perform data visualizations. You will develop the practical skills necessary to work in a job requiring the implementation of deep learning tools and techniques.
The classroom and learning environment is designed to be practical and allow students to quickly apply their new skills to real-world problems and work with real datasets. Upon completion of the Machine Learning and Data Science Certification Course, students can expect to be able to build impressive, portfolio-ready data science projects that will demonstrate their ability in AI data analytics and AI machine learning to add value to their next job as full-stack data engineer, data analyst or data scientist.
While many PHDs spend much of their time engulfed in theory and self-study practitioners struggling between time and subject management, your 1000+ hours with Xccelerate Data Science and Machine Learning Course will be spent on effective and practical learning to build a career in one of the most exciting fields in technology: Artificial Intelligence.
Build a portfolio with multiple projects that showcase your skills in Data Science, Machine Learning, Deep Learning, Data Engineering, and Business Intelligence
Collaborate with your peers and master the art of remote working and adding value to a team dynamic
Analyse real-world problems and provide meaningful data-driven insights to relevant stakeholders
Leverage Xccelerate Live for mentorship from industry experts, Xccelerate Alumni Community for lifelong guidance, and the Xccelerate Job Board and Hiring Network to create your dream career!
Course schedule - Monday to Friday
Daily lectures on course material
Weekly face-to-face tutorials
Co working space available
Offline mentor support (5 days a week)
Campus hot desk available to all students
Access anytime or anywhere
Access to all recordings in case you miss a lecture
Online support from mentors
If you don’t receive a job offer within 6 months of graduation, your tuition will be refunded. - *Terms and Conditions Apply.
Perform Deep Learning algorithms
Solid foundation in Python and Mathematics for Data Science, including Web Scraping to build your datasets
Conduct Exploratory Data Analysis with Data Visualisation and implementing end-to-end supervised and unsupervised Machine Learning Models
Comprehensive skill set in Business Intelligence and the tools to perform BI Visualisation
Data Engineering and Cloud Computing in alignment with current market trends
Graduate job placement rate
Average graduate to placement
Satisfaction rate (switch-up)
Recieve a certificate for every module accomplished
Unit 1
Foundations of Coding & Mathematics for Machine Learning
• Python Coding Fundamentals
• SQL and Web Scraping
• Mathematics for Machine Learning and Optimization
• Statistics for Data Science
• Mini Project
Unit 2
End-to-End Machine Learning Workflow
• Foundations of Machine Learning
• Supervised and Unsupervised Machine Learning Algorithms
• Deep Learning on Image Data (Convolution Neural Network, CNN)
• Deep Learning using pretrained networks and transfer learning
• Recommendation Systems and Natural Language Processing
Unit 3
Business Intelligence, Data engineering and Deployment
• Business Intelligence and AI in Business
• Business Intelligence - Theory and Use Cases
• BI with Tableau - Data Cleaning, Summarising, Analysis and Dashboards
• BI with Tableau - Data Analysis and visualisation.
• Data Engineering , Cloud Computing, Scaling and Deployment
Unit 4
Collaboration and Capstone Projects
• Capstone Project Preparation
• Final Presentation in Demo night
Request a detailed syllabus
Head of Data Science
A Data Scientist with a passion for turning data into actionable insights, and meaningful stories. Right from the data extraction till the final data product or actionable insights, he enjoys the journey with the data. A dedicated and determined person who can adapt to any environment which is quite evident from the cross-domain projects involving different types of data, platforms and techniques he has worked on. Apart from the skills related to data capture, analysis & presentation, he possesses good problem-solving skills. Being from computer science field is really an add-on to do things quickly and in a re-usable manner. Along with Machine learning, he believes in Quick learning as and when needed.
Data Science Technical Mentor
Ipsita holds a Masters degree in Computer Science and has taught various undergraduate computer engineering courses. She loves teaching and believes that it’s the best way to better understand and retain what you’ve learnt. She’s always excited about learning something new and expanding her knowledge and skills constantly while making a significant contribution to the betterment of the world.
Data Science and Machine Learning Instructor
Reshma Punjabi is a Data Science and Machine Learning Instructor at Xccelerate. Her academic background is in Banking and Financial Services, and a Master’s in Mathematics specialising in Big Data Analytics and Computations. Prior to working at Xccelerate, she was working at a virtual bank in Hong Kong. In this role, she was heavily involved with the Credit Risk and Business Intelligence teams. She also has experience as a Technology Instructor educating children in Virtual Reality, Website Design, and other digital skills rooted in coding.
Software Engineer & Growth Hacking Specialist
Matthew is a software engineer with previous experience working in back-end development specializing in databases, as well as teaching data science and programming skills to students. As a software engineer for Xccelerate, he is currently implementing features for Xccelerate's many platforms. Staying true to his jack-of-all-trades mindset, he also helps optimize marketing campaigns as part of his role as a Growth Hacking Specialist. He is an avid learner and is extremely passionate about furthering his skills in front-end engineering, as well as in blockchain development. He hopes that he can use his skills to help bring major positive impacts to society.
Jan 3 - May 17, 2022
Mon-Fri, 9am-6pm
Course closed
100%
booked
Apr 4 - Aug 16, 2022
Mon-Fri, 9am-6pm
Course closed
100%
booked
Jun 13 - Oct 18, 2022
Mon-Thur
Course closed
100%
booked
Aug 29 - Mar 13, 2023
Monday to Thursday
Starts in 17d 15:11:07
60%
booked
Our course is designed for life-long learners that need time flexibility, live lectures and pre recorded content. With us, you will achieve your next career milestone.
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Explore our payment plans and choose the best option for you.
X
Make 3 payments of HK$16,334 over 3 months with 0% interest
New users get HK$80 off when they spend HK$1000 on our courses
X
Make 12 payments of HK$4,083 over 12 months with 0% interest
New users get HK$200 cash reward for opening Livi account with code X#livi
Users can enjoy up to 8% cash back
Hybrid Flex ![]() HK$ 49,000 | Remote Learner HK$ 29,000 | ||
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Lectures | |||
Option to join lectures online | |||
Option to join lectures on-campus | |||
On-campus hotdesk | |||
Industry-Centric Projects | |||
Individual | |||
Group | |||
Curriculum Access | |||
Unlimited during bootcamp | |||
8 Months extended access | |||
Lecture Recordings | |||
24/7 Access During Bootcamp | |||
Career Opportunities | |||
Profile listing on Xccelerate talent database | |||
Hong Kong Tech Career Guide | |||
Access to the Xccelerate Hiring Network | |||
Personal Interview Prep | |||
Personal CV Review | |||
Personal LinkedIn Review | |||
Soft Skills Training | |||
Receive job posts from Xccelerate network | |||
Job Negotiation Training | |||
Tech Industry Speaker Series | |||
Aug 29 - Mar 13, 2023
Monday to Thursday
Taught in: English and Chinese
Hybrid Flex
HK$ 49,000
Join class on-campus or watch via online livestream
or 12 payments of
HK$4,083
over 12 months with
or 3 payments of
HK$16,333
over 3 months with
Remote Learner
HK$ 29,000
Join lectures via livestream from anywhere
or 12 payments of
HK$2,417
over 12 months with
or 3 payments of
HK$9,667
over 3 months with
60%
booked
How is Xccelerate different from the other institutes?
Xccelerate was founded to address the main concerns that our students found lacking in traditional offline and even online learning environments. What you will find with us that does not come standard with a majority of other options is: - Our dedication to practical hands-on training environments that keep you accountable to your own success but also provide access to a modern curriculum with the aid of expert instructors. - For our immersive programs, we provide an in-house career support team as opposed to many other institutes where you are left to fend for yourself. Your job search progress will be closely followed up by our career consultants throughout the duration of the immersive program and even after graduation. - Our career team organizes various career events, e.g. networking evenings, guest sharing, workshops, etc. With such a commitment, we have achieved 91% successful hiring rate in the previous cohorts. Your success is our success! - Access to an always growing tech community. All Xccelerate students are invited to join our exclusive learning community, which is a platform of sharing and receiving news related to tech, such as the latest tech inventions, tech-talent roles openings, etc, allowing alumni and all stakeholders to discuss.
I do not have any tech background, are these courses suitable for me?
Our bootcamp programs are completely immersive. We teach from zero and expect you to have job-ready skills after the course. While it is not fully required to have pre-existing hard tech skills before the course, we highly recommend completing pre-course prep work that will be assigned before the course begins to best set you up to succeed.\n\nThe immersive courses are engineered to produce the best possible outcomes within 16 weeks, therefore students should fully understand the commitment and work ethic required to complete the program.
I am not sure which full-time and/or part-time courses I should take, is there a way to erase my concern?
You can schedule a free course consultation with us by emailing admissions@xccelerate.co where we will address your current career situation as well as your desired outcomes to help point you in the right direction.
Are there any trial classes for me to have a basic understanding of the courses?
We do not offer trial classes at the moment as it turns out to be quite distracting for current students and instructors, but we recommend you to schedule a campus tour with our Admissions Manager at +852 68838583. You can observe the class and talk to our instructors if necessary to learn more about the course.
How many students in each section of the courses? Would it be possible that the instructors might not be able to take care of all the students?
There are usually 15-20 students within each full time immersive course. In terms of in-house support offered by Xccelerate, our instructors are constantly available through dedicated channels that we have so that students can be walked through the course on a step by step level.
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10 Ubi Crescent, #05-42 Ubi Techpark, Singapore 408564