Group Size
6 Weeks
Course fee
Course Syllabus

Special Offer: Bundle this course with our Python Certificate and receive HK$2000 OFF! Simply mark the option when you enroll.

What you will be able to do after the class:

After completing this course, students will be able to work with massive datasets to extract insight through statistical and machine learning techniques using Python. Learn to formulate questions that drive cutting-edge visualizations and inferences, no matter your industry or profession.

Deploy machine learning techniques to a dataset of your choice

Complete a capstone project that includes a full cycle of data tools

Start your journey to becoming a professional Data Scientist

Learn how to generate insight using the most relevant data science skills

Next Course Information

Starting Date: 26 June 2018

Time & Duration: 6 Weeks, Tuesdays & Thursdays, 19:00 - 21:30

Price: HK$12,500

Language: English

Course Description

If “data is the new oil”, data science is the refinery that transforms data from a raw material to the fuel that drives the world’s economy.

In this 6-week part time evening course, you will learn the building blocks and tools that will empower you to take massive raw data sets and extract valuable insights and data visualizations that bring the data to life. You will learn to manipulate data using various Python libraries while working in Jupyter Notebooks. You will be introduced to common algorithms and techniques for analyzing data and be introduced to the concepts and tools that are used to implement machine learning. 

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.

What is Data Science?

Data Science consists of the exploration of data, from a microscopic level, and being able to piece it together to form valuable insights. Data Scientists generally have a mind for math and statistics, but are also able to formulate the data with an artistic approach so that others within their teams and companies can make good use of it.

There are 2.5 quintillion bytes of data produced daily, leaving massive room for improvements in efficiency for companies to take advantage of. Harvard Business Review even labelled Data Science as the sexiest profession of the 21st century. Despite this, 100's of thousands of Data Science job listings go unfulfilled each year. The problem? There simply aren't enough qualified candidates to take advantage of these roles.

Enthusiasm for numbers and creative interpretation aside, the essential Data Scientist also has a familiarity with todays most useful core languages, such as SQL, Python, and R.

What is Machine Learning?

Machine Learning is the use of algorithms to allow machines to be able to learn and adapt through the use of data input. If you use social media or shop online, you are probably familiar with Machine Learning already, whether Facebook has asked if you wanted to be tagged in a photo or you've been recommended products based on your past shopping habits.

Machine Learning is an essential component to much of the technology hyped up for the near future, such as image recognition, chatbots and AI use cases.

Here's What Students Have to Say

Student in July - August Cohort | Securities Division, Leading Financial Services Firm

"I would highly recommend Accelerate's Data Science & Machine Learning Course. The certificate is a perfect blend of theory and practical application. I can see what I learn in Python applied in multiple applications that benefit me in my full time job and outside data interests. "

Join a Dedicated Community

Gain access to our exclusive Data Science & Machine Learning Slack channel.

Past Student Projects

Our student project gallery showcases work by our students of this course. Take a peek — and imagine what you could make possible.

Meet Our Advisory Board

Teacher / Speaker

Patrick Leung
Patrick enjoys solving problems with statistics and machine learning. He is currently a data scientist at a machine learning startup, specialising in quantitative modelling, text classification and data visualisation. Prior to that, he was a quantitative modeler for 4+ years in the sports trading industry, where he designed and developed predictive models and automated trading tools. Patrick firmly believes in the power of data science and the potential of its profound impact on the world.

Learn key fundamentals of Data Science and Machine Learning in 6 weeks

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