Advanced Certificate in Applied Data Analytics
Brought to you in collaboration with SMU Academy
Learn with SMU Academy
- An introduction to large scale data analysis with Cloud Computing by harnessing the power of virtual machines deployed on the Amazon Web Services cloud
- Build a strong analytical mindset along with the technical skills to uncover, analyse and evaluate patterns from data
- Complete a practical capstone project to add to their portfolio to showcase their Python and Data Analysis competencies
Skills You'll Get
Cloud data analysis
AWS virtual machines
Analytical mindset
Pattern analysis
Capstone project
Python competencies
Data analysis skills
Course Overview
Learn to use a variety of data techniques drawn from the fields of machine learning, data visualisation, Big Data and many others to interpret large and complex datasets in an applied setting. Participants in this course will delve further in data analysis with prior knowledge in Python programming, and enhance their analytical skills.
Intermediate
Advanced Certificate in Applied Data Analytics
Modules Information:
6 Modules (Total 90 hours)
Each module (15 hours) consists of:
Each module (15 hours) consists of:
- 2 weekday sessions
(7pm - 10:30pm) - 1 Saturday session
(9am - 6pm: 1 hour lunch break)
Fees:
$10,464* (as low as $1,219.20 after maximum funding)
*Registration is with SMU Academy
*Registration is with SMU Academy
Course Outline
Module 1: Applying Data Analytics to Sales and Marketing through Linear Models
16th Jul 2024Module 2: Avoiding Pitfalls in Business Analysis through Model Specification
30th Jul 2024Module 3: Business Intelligence with Web Scraping and Text Mining
13th Aug 2024Module 4: Storytelling with Advanced Data Visualisations
27th Aug 2024Module 5: Understanding Big Data with Cloud Computing
10th Sep 2024Module 6: Executing Projects in Applied Data Analytics
24th Sep 2024Course Duration
6 Modules (Total 90 hours)
Each module (15 hours) consists of:
Each module (15 hours) consists of:
- 2 weekday sessions
(7pm - 10:30pm) - 1 Saturday session
(9am - 6pm: 1 hour lunch break)
Who Should Attend
- Data science professionals
- Managers looking to explore predictive modelling
- Those interested in learning and applying advanced data analysis techniques
Course Fees Funding
$10,464* (as low as $1,219.20 after maximum funding)
*Registration is with SMU Academy
*Registration is with SMU Academy
Learn from the Industry Experts
Ian Choo
Chief Executive Officer, SG Code Campus,
M.Sc. Management Science & Engineering, Stanford
M.Sc. Management Science & Engineering, Stanford
Ian holds graduate and undergraduate degrees in Management Science & Engineering (Stanford University) and Applied Mathematics & Economics (University of California, Berkeley). His computational expertise was developed through graduate studies in Computational Engineering and Machine Learning, followed by professional experience as a quantitative risk manager at Barclays Investment Bank. This professional role involved extensive data analysis and the development of financial models using Python, R, VB.NET, and FORTRAN, further sharpening his technical skills.
Ian's passion for education led him to found SG Code Campus, where he designs curricula for students of all ages and backgrounds in areas such as Web & Mobile programming, Cloud Computing, and Data Science. His teaching extends to Singapore Management University Academy, where he delivers the Advanced Certificate in Applied Data Analytics and Certificate in Technology Foundations courses to working professionals. Additionally, his technical leadership is exercised as Chief Technology Officer, overseeing systems deployed on AWS and Google clouds.
Ian's passion for education led him to found SG Code Campus, where he designs curricula for students of all ages and backgrounds in areas such as Web & Mobile programming, Cloud Computing, and Data Science. His teaching extends to Singapore Management University Academy, where he delivers the Advanced Certificate in Applied Data Analytics and Certificate in Technology Foundations courses to working professionals. Additionally, his technical leadership is exercised as Chief Technology Officer, overseeing systems deployed on AWS and Google clouds.
Sun Chang
Senior Data Scientist, Grab,
PhD. Computational Engineering, Singapore-MIT Alliance (NUS)
,Instructor, SG Code Campus
PhD. Computational Engineering, Singapore-MIT Alliance (NUS)
,Instructor, SG Code Campus
Sun Chang is a Senior Data Scientist at Grab with a proven track record of applying his expertise in database management, data analytics, visualisation, model training, big data, and cloud computing to drive business solutions. He holds a Ph.D. in Computational Engineering from the Singapore-MIT Alliance at the National University of Singapore (NUS) and a Bachelor's degree in Applied Mathematics with First Class Honours.
Dr. Chang's unique background blends strong academic foundations with diverse industry experience. Before joining Grab, he successfully delivered AI solutions to the healthcare and manufacturing sectors as a technical consultant. This combination of research and practical application empowers him to deliver a balanced, hands-on approach to data science education.
He currently teaches at the Singapore Management University (SMU) where he delivers classes in advanced Data Science and Analytics to working professionals under SMU Academy's Advanced Certificate in Applied Data Analytics and Certificate in Technology Foundations Series programmes.
Dr. Chang's unique background blends strong academic foundations with diverse industry experience. Before joining Grab, he successfully delivered AI solutions to the healthcare and manufacturing sectors as a technical consultant. This combination of research and practical application empowers him to deliver a balanced, hands-on approach to data science education.
He currently teaches at the Singapore Management University (SMU) where he delivers classes in advanced Data Science and Analytics to working professionals under SMU Academy's Advanced Certificate in Applied Data Analytics and Certificate in Technology Foundations Series programmes.