數據科技及機器學習課程

職業證書

數據科學及AI
機器學習  Bootcamp

Name: Data Science and Machine Learning Certificate Course Hong Kong
Price: 9888 HKD

透過實踐練習及真實客戶專案，學習數據科學、機器學習(ML)和AI技能。加入專屬社群，讓您與夢想工作更近一步。

FREE 60-minute trial session with an expert

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View Syllabus

聘請我們畢業生的500+間企業:

COURSE OUTCOMES

What You'll Learn

Python: Develop programming skills essential for Data Analysis and Software Development.

Python: Develop programming skills essential for Data Analysis and Software Development.

Python: Develop programming skills essential for Data Analysis and Software Development.

SQL: Develop programming skills essential for Data Analysis and Software Development.

Create insightful visualizations using tools such as Matplotlib, Seaborn, Tableau, and Plotly

Data Visualization: Using tools such as Matplotlib, Seaborn, Tableau, and Plotly

Implement techniques for preparing raw data, ensuring it is suitable for Data Modelling.

Data Modelling: Implement techniques for preparing raw data, ensuring it is suitable for Data Modelling.

Utilize advanced data manipulation techniques in Pandas for comprehensive analysis.

Data Manipulation: Utilize advanced data manipulation techniques in Pandas for comprehensive analysis.

Interpret data distributions and derive meaningful insights from datasets.

Data Analysis: Interpret data distributions and derive meaningful insights from datasets.

Apply a range of machine learning algorithms, like linear regression to real-world datasets.

Machine Learning Algorithms: Apply a range of machine learning algorithms, like linear regression to real-world datasets.

Learn to evaluate machine learning models using performance metrics.

Model Evaluation: Learn to evaluate machine learning models using performance metrics.

Build and train deep learning models for image recognition, natural language processing ...

Deep Learning Model Building: Build and train deep learning models for image recognition, natural language processing ...

Analyse and interpret text data using NLP techniques like tokenization, stemming & more

NLP: Analyse and interpret text data using NLP techniques like tokenization, stemming & more

Understand and apply time series analysis techniques for data forecasting

Data Forecasting: Understand and apply time series analysis techniques for data forecasting

Uncover patterns, trends, and relationships in data with exploratory data analysis

Interactive Dashboards: Create and deploy interactive data visualization dashboards using tools like Streamlit

Develop collaborative filtering and content-based recommendation systems

Building AI Tools: Develop collaborative filtering and content-based recommendation systems

Develop collaborative filtering and content-based recommendation systems

Building AI Tools: Develop collaborative filtering and content-based recommendation systems

“Xccelerate created a golden opportunity for me to consolidate what I have learned as well as to work on various practical projects that can be displayed in my portfolio.”

Rico Ng

Data Scientist

“A great course for learning Data Science. I received multiple job interviews/offers upon graduation.”

David Wan

Quantitative Developer

“y highest recommendation for any keen learners in getting starting data science, engineering and machine learning - worked for me!.”

Desmond Chiu

Digital Performance Specialist

“Highly recommend!!!!! This course is really useful for me to get a relatively good understanding of data science and machine learning.”

Bruce Lam

Data Analyst

COURSE CURICULLUM

Hand-Crafted For Success

The course syllabus is regularly revised to stay relevant with the state-of-the-art industry practices. Each unit contains exercises and projects to test your skills and make your industry ready.

🌱 Unit 1: Prep Work

Master the fundamentals of data science and programming and start thinking like a data scientist.

Lessons

Python Coding Fundamentals: Get hands-on with practical exercises designed to help you write clean, efficient code
Conditional Statements: Make your programs smarter by learning how to automate decision-making processes and handle complex scenarios
Loops: Harness the power of loops to streamline repetitive tasks and analyze large datasets with ease
Exception Handling: Develop strategies to anticipate and handle errors gracefully, ensuring your code runs smoothly

Mini Project: Build a portfolio that showcases your understanding of basic data science principles

🧑🏼‍💻 Unit 2. SQL & Database Management

Take your data science skills to the next level with knowhow of structured query language (SQL). Learn how to efficiently store, retrieve, and manipulate data using industry-standard tools.

Lessons

MySQL: Dive into the world of relational databases and master the fundamentals of MySQL, the most popular open-source database management system
Set-up MySQL Service and Workbench: Get hands-on experience setting up your own MySQL environment and exploring its powerful features using the intuitive MySQL Workbench interface.
SQL Access from Python: Bridge the gap between Python and SQL, learning how to seamlessly integrate these two essential tools for data science projects.

Mini Project: Build a functional database and impress potential employers with your ability to handle complex data structures

🐍 Unit 3. Data Science with Python & co.

Learn to efficiently access, manipulate, and visualize data by master Python's most powerful libraries and tools

Lessons

Numerical Libraries: Dive into the world of data analysis using Python's essential libraries, such as NumPy for numerical computing, SciPy for scientific algorithms, and Pandas for data manipulation
Accessing Data with APIs: Learn how to tap into vast sources of data by leveraging the power of APIs. Discover techniques for efficiently retrieving and integrating data from diverse sources.
Scraping Data from Websites: Master the art of web scraping using Python. Extract valuable insights from websites and transform unstructured data into structured datasets ready for analysis

Mini Project: Harness Python's libraries, APIs, and web scraping techniques to uncover meaningful insights

🤖 Unit 4. Machine Learning & AI

Gain a solid understanding of the fundamental concepts and techniques that drive modern AI applications. Gain hands-on experience with the most advanced techniques driving the AI revolution.

Lessons

Foundations of ML: Dive into the core principles and algorithms that form the backbone of machine learning. Understand how machines learn from data and make intelligent predictions
Supervised Learning: Master the art of training models using labeled data. Learn how to build and evaluate powerful predictive models for classification and regression tasks.
Unsupervised Learning: Explore the realm of uncovering hidden patterns and structures in unlabeled data. Discover techniques for clustering, dimensionality reduction, and anomaly detection

Machine Learning Project: Build an impressive portfolio piece that demonstrates your ability to harness the power of AI

🧠 Unit 5. Deep Learning

Explore the cutting-edge field of deep learning and unlock the power of neural networks that drive modern AI applications like ChatGPT and more.

Lessons

Natural Language Processing (NLP): Master the art of teaching machines to understand, interpret, and generate human language. Discover how to build intelligent systems that can analyze sentiment, translate languages, and even engage in conversation
Tokenization: Learn how to break down text data into meaningful units, laying the foundation for advanced NLP tasks. Gain practical experience with tokenization techniques that power real-world applications.
Computer Vision (CNN): Dive into the world of visual intelligence using Convolutional Neural Networks (CNNs). Discover how to build powerful models that can recognize objects, detect faces, and interpret complex visual scenes
Image Processing: Master the techniques for preprocessing and enhancing image data. Learn how to apply filters, transformations, and augmentations to improve the performance of your computer vision models.

Deep Learning Projects: Build impressive portfolio pieces that demonstrate your ability to harness the power of deep learning

⚒️ Unit 6. Data Engineering

Unlock the power of data and learn how to build robust data pipelines that drive real-world applications. In this unit, you'll gain hands-on experience with the most essential tools and techniques for data engineering

Lessons

BI Tools - Tableau and Power BI: Master the industry-leading business intelligence tools that turn raw data into actionable insights. Learn how to create interactive dashboards and visualizations that inform data-driven decision making
Deployment and Containerization: Discover how to deploy your data-driven applications in the cloud using containerization technologies like Docker and Kubernetes. Gain practical experience with the DevOps practices that ensure scalability and reliability

Data Engineering Projects: Create impressive portfolio pieces that demonstrate your ability to harness the power of data

📽️ Unit 7. Showcase Your Expertise with Capstone Projects

Put your newfound data science and machine learning skills to the ultimate test with real-world capstone projects. Collaborate with your peers and build impressive portfolio pieces that demonstrate your ability to solve complex challenges

Lessons

Capstone Project Preparation: Learn how to scope and plan your capstone projects effectively. Gain practical experience in project management and collaboration, essential skills for thriving in a professional data science role

By the end of this unit, you'll have a portfolio of real-world projects. Get ready to stand out in the job market and launch your exciting new career in the world of data

💼 Unit 8. Launch Your New Career with Confidence

Gain the job search skills, interview techniques, and professional network you need to confidently launch your new data science career. In this unit, you'll receive personalized support to help you stand out in the job market and land your dream role

Lessons

1-on-1 Consultation: Benefit from dedicated guidance tailored to your unique career goals and aspirations. Our expert mentors will provide personalized advice to help you navigate the job search process with confidence
CV and LinkedIn Profiles: Learn how to craft compelling CVs and LinkedIn profiles that showcase your skills and accomplishments. Discover tips and techniques to make your professional brand stand out to potential employers.
Interview Tutorial: Master the art of interviewing and learn how to effectively communicate your value to hiring managers. Gain practical experience with mock interviews and receive constructive feedback to refine your technique
Presentation Skills: What and How to Share with Hiring Managers: Discover how to create engaging presentations that showcase your projects and expertise. Learn what information to include and how to effectively communicate your value to potential employers

Personal Branding Glow-Up

Resume: Create a compelling resume that highlights your Data Science and Machine Learning skills and projects, positioning you as a competitive candidate in the job market.
LinkedIn Profile: Develop a professional LinkedIn profile that attracts recruiters and showcases your expertise to your network.

By the end of Unit 8, you'll have the job search skills, professional branding, and confidence to launch your new data science career. Our dedicated support and resources will help you navigate the job market, connect with potential employers, and ultimately land your dream role in this exciting field

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Become Xccelerate certified

The Xccelerate certification makes sure that you are ready to join the workforce as an entry-level Data Scientist and excel in your new job role.

Hands-on learning, less theory

Become ready to join the workforce as an entry-level Data Scientist

24/7 accessible learning videos

Learn anytime, anywhere with pre-recorded videos and online lectures

Real projectas from real companies

Get deployed and work on real projects from real companies

Lifetime access to new course content

Receive lifetime access to new course content for all Xccelerate courses

Assignment Review by Industry Professionals

Get assignment feedback from industry experts and hone your skills

Online community with a global mindset

Join an online global community with a growth mindset

Job interview training with inudstry professionals

Receive job interview training with a dedicated coach to ace your applications and interviews

'Get the Job' playbook, materials and checklist

Use the 'Ace the Job' playbook, materials and checklist to stay ahead of the competition

INSTRUCTION TEAM

Learn Live With Experts

The direct interaction with a mentor enables the learner to receive immediate feedback, ask targeted questions, and gain insights from mentor's expertise and real-world experience.

Avishek Majumder

Avishek is a computer vision researcher who graduated from the prestigious Indian Institute of Science with a specialization in Deep Learning. He has over 7+ years of professional experience in the Data Science and Artificial Intelligence industry. He is currently working as the Head of AI and Data Science at Xccelerate.

課程的對象是？

初學者

Someone with no prior experience or formal education in Programming or Data Science

轉換職業

Individuals who are transitioning from one profession to another.

技能提升

深入研究生成AI和神經網絡(NNs)。

Prerequisites

None, but basic programming knowledge is encouraged. Python coding fundamentals are covered in the prep work.

Career paths

Junior Data Scientist, Data Analyst, Data Engineer, Machine Learning Engineer, BI Associate

Scholarship Program

We aim to keep our courses as accessible as possible. Ask our sales team to learn more.

Course Schedule

Learn Live Thrice a Week

😪 Monday

🍵 Tuesday

🔥 Wednesday

🌈 Thursday

🎉 Friday

✨ Saturday

直播课

(Online)

7.30 PM - 8.30 PM

直播课

(Online)

7.30 PM - 8.30 PM

直播课

(Online)

10 AM - 12 PM

😪 Monday

自学

预先录制

🍵 Tuesday

直播课

（群组）

晚上 7 点 30 分-晚上 9 点

🌈 Wednesday

自学

预先录制

🔥 Thursday

直播课

（群组）

晚上 7 点 30 分-晚上 9 点

🎉 Friday

自学

预先录制

✨ Saturday

直播课

（群组）

10 AM - 12 PM

Still not sure about the course schedule? Chat with our team for more clarity

UPCOMING COHORTS

Reserve Your Seat Today

Are you committed to advancing your career by master Data Science and Machine Learning?
Select your desired cohort that suits your timings.

4 seats left

Asia Bootcamp (GMT +8)

Starts Jan 13

16 weeks

7:30pm - 8:30pm

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11 spots left

Europe Bootcamp (GMT)

Starts Jan 13

16 weeks

7:30pm - 8:30pm

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5 spots left

Americas Bootcamp (GMT -4)

Starts Jan 13

16 weeks

7:30pm - 8:30pm

立即報名

Can't join the upcoming cohort? Talk to our team to enrol in a future cohort.

Pricing

Invest In Your Future Self

Unlike other courses who tuck away their prices, we are totally transparent with our online Bootcamp pricing and take pride in being accessible and affordable.

Full Stack Data Science and Machine Learning Bootcamp

HK$38888

HK$21888

22-week Bootcamp

$19888 HKD

Early Bird Discount

-$2000 HKD

Total

$19888 HKD

Enrol Now

80 hours of live-mentoring with industry professionals

Lifetime access to all Xccelerate course videos

Personalized Job Application and Interview Training

Privileged access to networking events and hackathons

10 hours of personal mentorship with Avishek Majumder

Access to Xccelerate career workbook

Access to Xccelerate's alumni network

We also offer monthly installments. Connect with our support team to enquire further

What you’ll learn

Figma

Achieve proficiency in creating wireframes, prototypes, and high-fidelity mockups using Figma.

Portfolio Tools

Build a portfolio that WOWS employers with tools like Framer or Webflow.

Remote Working

Master the art of remote working and how to add value to a tech team dynamic.

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.

The Xccelerate Method

Trusted by +15,000 graduates

This holistic approach ensures participants are equipped with practical skills, industry insights, and networking opportunities for successful career advancement in the dynamic field of uiux design.

Self-driven
Learning

Our courses have been built so that both currently employed and fully committed individuals can succeed.

Live online
Lessons

Instructors will be available via livestream on designated days to ensure you get extra help with course materials or assignments. Lectures are recorded in the event you can’t make it live.

Community
Development

You are invited to come onto campus to chat with instructors or work alongside other students to solve tough problems.

24/7 Career
Support

Get unlimited support from our experts and prepare a killer CV to land your dream job. Class content will be available for you to access throughout the duration of the course.

Real-Client
Projects

Solve real-world problems with real-client projects and grow your professional experience. Gain practical skills to reinforce your learning journey and portfolio.