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
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. It’s the best Programming Bootcamp in Hong Kong. In this 22-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 or career path 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 the 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.
Begin your data science adventure by mastering Python.
Deepen your skills on mathematics and data visualization.
Dive into generative AI and neural networks.
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
AI training and the ability to not only stay ahead, but inform stakeholders on future trends and opportunities
Data Engineering and Cloud Computing in alignment with current market trends
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
Personalize your schedule with 1-on-1 Courses. Ask our sales team for more details.
The direct interaction with a mentor enables the learner to receive immediate feedback, ask targeted questions, and gain insights from the mentor's expertise and real-world experience.
The direct interaction with a mentor enables the learner to receive immediate feedback, ask targeted questions, and gain insights from the mentor's expertise and real-world experience.