Sep 19 - Nov 2, 2022

from HK$9,750

Data Science & Machine Learning

6 weeks, Part-time

Sep 19 - Nov 2, 2022

Mon & Wed, 7:15PM to 9:15PM

Taught in: Chinese & English

Join class on-campus or watch via online livestream

HK$ 12,500

or 12 payments of

HK$958

over 12 months with

or 3 payments of

HK$3,833

over 3 months with

Join lectures via livestream from anywhere

HK$ 9,750

or 12 payments of

HK$729

over 12 months with

or 3 payments of

HK$2,917

over 3 months with


Compare

Starts in 37d 21:11:20

20%

booked

Course overview

This 6-week part-time evening data science and machine learning course is the perfect data science course for obtaining a data science certification and upskilling if you are a beginner to data science. 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.

Upon completion of the data science and machine learning course, students will be able to demonstrate their understanding of AI machine learning.

...

Course Delivery

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

Ready to start your tech career? Try our Free Discovery Courses

Curriculum

Recieve a certificate for every module accomplished

Course plan

Unit 1

Python for Data Science

Fundamentals of Data Science

Applicative Statistics with Python; NumPy & SciPy

Unit 2

Data Cleaning & Visualisation

Introduction to Pandas

How to visualize your data with Matplotlib

Unit 3

Project week - Analytics on Real-life Datasets

Project Preparation

Project Presentation

Unit 4

Theories on Machine Learning

Fundamentals of Machine Learning

Supervised vs Unsupervised Machine Learning

Unit 5

Application of Machine Learning

Regressions & Classifications

K-Means Clustering, Decision Trees & Entropy

Unit 6

Project Week

Project Preparation

Project Presentation

Request a detailed syllabus

Instructors

Ravi Murugesan

Data Science Instructor

A critical thinker who is efficient in discovering, defining, analysing, visualising and communicating data driven solutions to complex problems. An agile learner with transferable skills honed over 14 years of professional experiance in the Automatove engineering industry, is excited to explore new challenges in Data Science

Reshma Punjabi

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.

Matthew Bilo

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.

Course schedule

Dec 7 - Jan 13, 2022

Tue & Thu, 7:30pm-9:30pm

Course closed

100%

booked

Feb 8 - Mar 17, 2022

Tue & Thu, 7:30pm-9:30pm

Course closed

100%

booked

May 10 - Jun 16, 2022

Tue & Thur, 7:30PM - 9:30PM

Course closed

100%

booked

Jun 27 - Aug 3, 2022

Mon&Wed, 7:30pm-9:30pm

Course closed

100%

booked

Sep 19 - Nov 2, 2022

Mon & Wed, 7:15PM to 9:15PM

Starts in 37d 21:11:20

Early Bird
Early Bird Offer $1000 Off

Deadline: 19 Aug

20%

booked

Dates or times don't work for you?

Feature Comparison

Hybrid Flex

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HK$ 12,500

HK$ 11,500

Remote Learner

HK$ 9,750

HK$ 8,750

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

Sep 19 - Nov 2, 2022

Mon & Wed, 7:15PM to 9:15PM

Taught in: Chinese & English

Join class on-campus or watch via online livestream

HK$ 12,500

or 12 payments of

HK$958

over 12 months with

or 3 payments of

HK$3,833

over 3 months with

Join lectures via livestream from anywhere

HK$ 9,750

or 12 payments of

HK$729

over 12 months with

or 3 payments of

HK$2,917

over 3 months with


Compare

Starts in 37d 21:11:20

20%

booked

Frequently Asked Questions

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.

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.

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.

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.

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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