The benefit of learning together with your friend is that you keep each other accountable and have meaningful discussions about what you're learning.

Courtlyn
Promotion and Events SpecialistBridging Business and Digital Transformation with Machine Learning and Data Analytics to accelerate competitive advantage.
Download Brochure
8 Months, Online
6-8 hours per week, 1 Day Campus Immersion (Optional)
US$3,900 or get US$390 off with a referral
Our participants tell us that taking this programme together with their colleagues helps to share common language and accelerate impact.
We hope you find the same. Special pricing is available for groups.
The benefit of learning together with your friend is that you keep each other accountable and have meaningful discussions about what you're learning.
Courtlyn
Promotion and Events SpecialistBased on the information you provided, your team is eligible for a special discount, for Machine Learning and Data Analytics using Python starting on 28 March 2023 .
We’ve sent you an email with enrolment next steps. If you’re ready to enrol now, click the button below.
Have questions? Email us at group-enrollments@emeritus.org.
Apply before 3 April 2023 and avail early bird tuition assistance of USD 150.
Use code NUS150EBTA while applying.
WhatsApp an Advisor on +65 8014 3066
Have questions? Our Advisor will assist you promptly.
No prior coding experience
Programme designed for professionals without prior coding experience
Premium school experience
Certificate from Asia’s Leading University
Industry relevant curriculum
In-depth and comprehensive understanding of Machine Learning, Case studies developed by NUS School of Computing faculty and Emeritus
Distinguished faculty
Learn via video lectures from renowned faculty at NUS School of Computing
Flexible mode of delivery
Unique blend of 400+ asynchronous video lectures, 30+ practice-based assignments and assessments, weekly discussion boards and case studies
Live and interactive sessions
4 live sessions with faculty and 2 with industry experts
Campus immersion
Participants will be invited to attend a 1-day networking opportunity to meet with fellow global leaders and interact with programme faculty/director
Capstone project
Toward the end of the programme, you will demonstrate your newly gained analytics skills by applying what you learned to build a simulation of real-life projects
Note: All product and company names are trademarks or registered trademarks of their respective holders.
Use of them does not imply any affiliation with or endorsement by them.
This section teaches you how to collect, organise, and analyse data to
a. provide insights on how a business is functioning
b. predict trends
c. identify areas for improvement
Week 1: Introduction to Analytics
This section provides hands-on experience on the most popular programming language in the data science world, Python Programming, to apply Python functions, operators, files, and packages for:
a. data evaluation
b. data visualisation
c. application development
Week 8: Getting Started with Python
This final section on Machine Learning covers the theoretical learning while emphasising on practical know-how needed to apply the techniques to generate impactful results.
While focusing on Advance models and implementation challenges, the section stands on 3 building blocks of Machine Learning namely
1. supervised learning
2. reinforcement learning
3. unsupervised learning
Week 18: Introduction to Machine Learning and Learning
In this case study, the faculty demonstrates how to use data to provide insights on the potential customers of a sunglasses retailer.
In this demonstration, the faculty shows how to transform data on flight delays into a user-friendly interface.
In this case study, the faculty demonstrates the application of logical flow in programming using various statements in Python to the study the performance of athletes.
In this case study, the faculty demonstrates several operations on string data to organise and display audience feedback.
Through a lecture video, the faculty will show how to develop a system to cluster a dataset containing information on celebrities.
In this demonstration, the faculty demonstrates the application of neural network concepts to identify the median value of houses in Boston based on input features.
In an increasingly data-driven world where humans are producing and consuming about 94 zettabytes of data by the end of 2022, data is becoming integral part of every organisational decision, interaction, and process. Machine Learning and Data Analytics are giving rise to innovative business models and products, and present immense potential to bring transformative changes across business sectors and industries.
Machine Learning and Data Analytics could accelerate businesses’ competitive edge by analysing and processing data to obtain insights to make more accurate predictions and deliver innovative and strong business values.
A key component needed to excel in Machine Learning and Data Analytics includes knowledge and applications of programming languages.
Python is ranked as one of the most demanded programming languages in the workplace used not only by software developers but also by professionals in major industries including finance, healthcare, consulting and academia.
The Machine Learning and Data Analytics using Python programme by National University of Singapore’s School of Computing is curated with a strong emphasis on real-world relevance to meet rapidly evolving industry needs and trends.
The Programme’s holistic and integrative design will provide you not only with strong conceptual knowledge and applications of Machine Learning and Data Analytics but also strong market-ready coding skills and practical applications of Python Programming to deploy solutions and streamline core business processes to increase returns, to meet the evolving needs of organisations.
The Machine Learning Market is expected to grow from $21.17 billion in 2022 to $209.91 billion by 2029, at a CAGR of 38.8% in forecast period.
The Data Analytics Market Worth USD 346.24 Billion at a CAGR of 30.7% by 2030.
Python is the world’s most popular programming language and has reached an all-time high of 15.42% market share.
Upon successful completion of the programme, participants will be awarded a verified digital certificate by NUS School of Computing.
Download BrochureFlexible payment options available.