Data Science & ML Part-Time (English/Cantonese)

Discover how to leverage ChatGPT to tackle challenges, delve into the technical aspects of data science and machine learning with a seasoned instructor from Accenture and DBS. This program has been crafted in conjunction with our Data Science advisor, who has previously taught at MIT. Upon completion, you'll possess the necessary knowledge to create business value and distinguish yourself from others. Additionally, you'll benefit from individualized career coaching and have access to networking opportunities with leading employers to facilitate job placement. Signup for this 6-week part-time program and transform your career prospects.

Build Data Science Fundamentals
in 6 weeks
Top Instructors
learn from the best
Real-World Projects
learn and apply
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Introduction to Data Science and Machine Learning Program Details

In this program, you will

Learn from course created with our advisor Nathan Landman who taught data science classes at MIT.
Learn to use Python to solve real problems involving data sets and simple algorithms.
Learn from an expert instructor who is a data scientist at one of the world's leading consultancies.
Receive tailored coaching from our career mentors to ready yourself for a career in Data Science.
Pre-requisites
No prior experience is required for this course.
Career Outcomes
Machine Learning Engineer, Quantitative Analyst, Business Intelligence Analyst, Business Analyst, Data Scientist, Data Analyst
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Curriculum

Unit 1: Introduction to Data science and Machine Learning

Overview of the course, Data Science, Machine Learning and Python

Unit 2: Introduction to Python: Basic Functions

Understanding the fundamentals

Data types and variations

Maths operators

Control and flow

Strengthening the fundamentals

Unit 3: Introduction to Python: Data Analytics

Exploratory Data Analysis (EDA) and Data Visualisation

Unit 4: Modeling: Regression methods and Classification methods

Regression model

Tree-based models: Decision Tree, Random Forest, Gradient Boosting

K Nearest Neighbours

Support Vector Machine

+ 2 more units

The instructor is very knowledgeable and great in that she had real-life examples from her experiences in top tiers firms such as Accenture, HKBN and DBS.

Miranda Thang, Managing Director, Aitken Vanson

Instructor

Clare Liu

Data Scientist at Accenture, DBS

Clare Liu is a data scientist is a data scientist with DBS, Accenture and HKBN. She is also a contributing author at several publications including KDnuggets and analyticsvidhya. She was one of the top bloggers at Kdnuggets in 2020.

Her Youtube channel - AI Sensei was launched in March 2020 delivering innovative and cutting edge AI and Machine Learning knowledge. There are more than 4000 followers on different AI Sensei social media platforms including Facebook, Youtube and Linkedin.

Prior to joining HKBN, Clare was working in DBS innovation and ecosystems team to drive various data-related projects. She specialises in data mining research and providing innovative insights to clients. She was also a speaker in different fintech events including Whatthefintech and Waterstechnology Innovation Exchange.

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Hear From our Students

Career Support that works

Recruitment is our DNA built up over 15 years. Leverage our relationships with HR and founders of 1000s of companies. To have the best chance to land your dream job, you need best-in-class career support.

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Our career coaches and mentors are the best in the market

WorkHap is the leading career coaching company helping thousands of individuals around the world to pivot their careers.

You will receive workshops with valuable guidance, insights and tips and also 1-2-1 sessions with our in-house career mentors.

Why become a Data Scientist?

Most in demand job in the world
Data Science is evolving quickly because of the increasing demand of data around the world

Add value to the business
Data Scientist play a very important role as a strategic advisor to management

Highest paid field
According to Glassdoor, Data Science was the highest paid field to get into

Why H Academy?

No.1 Academy in Hong Kong
With 175+ reviews on switchup.org and a 99.6% student satisfaction rating

World Class Instructors and Real World Experience
We handpick only the best real-world projects and world-class instructors to optimise your learning

Career Support
For those looking to move into Data Science, we help open the door to potential career opportunities through our partnership with 2000+ companies

Course Fees

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Need Advice? Our Course Advisors are here to help.

Contact Course Advisor

Future Course Dates

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FAQs

Will I receive a certificate at the end of the course?

Yes, once you complete the requirements of attending and completing 80% of the classes, you will be eligible for a certificate to share on your CV and LinkedIn.

You will receive feedback on your coursework.

What do the course fees cover?

Course fee covers expert instruction and mentoring throughout the course.

You will also receive career coaching, mentoring, career workshops and tailored support to help you win in your career.

With our partnership with 800+ companies, we can help open the door to career opportunities.

What career support will I receive to help me transition to a new career path?

We have the best career coaches to prepare you for career transition and be ready to find the right culture and job.

We have career coaches and outcome coaches that work with you to tailor a plan for you that includes workshops in interview skills, creating winning CVs, boosting your Linkedin profile and job search hacks.

What projects will I work on during the course?

With our partnership with 800+, we identify only the best real-world projects with companies such as Samsung, Citibank, Prive Technologies and more.

Through our research with 100s of companies that hire students from bootcamps, the key difference they saw that ensure students were able to succeed in a new role was based on the projects they worked on.

By being able to tackle problems and projects that are from larger companies and therefore more complex, students are truly able to learn and apply their skills. This applies particularly to UX/UI, Data Science and Coding courses. For Digital Marketing, projects from startups and corporates can both be relevant.

We therefore ensure that we only find and select the most challenging projects from well-known companies.

Can the course be taken offline and online?

Yes, we do offer both online and offline.

Speak to one of our course advisors to learn more about the options.

Are there financing options?

We want to make sure that education is accessible to everyone so that you are able to achieve your career goals.

We have various payment options that can help you. Please reach out to one of our course advisors to learn more.

What if I still have further questions?

Our Course Advisors are always available to help answer any questions you have. You can reach out to us on email, WhatsApp, phone or even come say hello to us at our campus in Sheung Wan.

We also hold zoom calls to introduce you to the instructors so you can ask your questions directly on the course and syllabus.

Want to know if Introduction to Data Science and Machine Learning is right for you?

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Data Science & ML Part-Time (English/Cantonese)

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Part-Time

Data Science & ML Part-Time (English/Cantonese)

Clare Liu
Data Scientist at Accenture, DBS

About This Workshop

About This Bootcamp

Key Takeaways

Who this course is for

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HKT
Hong Kong (Offline)
TBC

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About the Instructor

Clare Liu
Data Scientist at Accenture, DBS

Clare Liu is a data scientist is a data scientist with DBS, Accenture and HKBN. She is also a contributing author at several publications including KDnuggets and analyticsvidhya. She was one of the top bloggers at Kdnuggets in 2020.

Her Youtube channel - AI Sensei was launched in March 2020 delivering innovative and cutting edge AI and Machine Learning knowledge. There are more than 4000 followers on different AI Sensei social media platforms including Facebook, Youtube and Linkedin.

Prior to joining HKBN, Clare was working in DBS innovation and ecosystems team to drive various data-related projects. She specialises in data mining research and providing innovative insights to clients. She was also a speaker in different fintech events including Whatthefintech and Waterstechnology Innovation Exchange.

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