Data Analytics and AI with Python

Learn Python from the fundamentals, then collect, clean, analyse and visualise financial-services data. Your individual capstone turns a chosen dataset into explained business insights.

Finance professionalsBeginner15 hours3 days · In person

Data Analytics and AI with Python — a Metacamp session in progress

01 / What you’ll build

A clean, analysis-ready dataset

Collect, assess, impute and organise financial-services data with Python.

A Python analysis notebook

Use NumPy and pandas to explore the data, calculate statistics and derive business insights.

A visual data story

Create charts with Matplotlib and Seaborn and explain what the patterns mean for the business.

02 / Curriculum

6 topics · 3 days · 2 half-days per day15 hoursTGS code · TGS-2024042276

Topic 01Day 01 · AMData Analytics & Python Foundations

Understand big data, its characteristics and economic value, and distinguish analytics from data science.
Review common analytics use cases, tools and the reasons Python is widely used for data work.
Navigate Jupyter Notebook, write a first program and work with Python data types and variables.
Apply arithmetic, equality, comparison and logical operators in short code-along exercises.

Topic 02Day 01 · PMPython Collections & Iteration

Topic 03Day 02 · AMControl Flow, Functions & Debugging

Topic 04Day 02 · PMNumerical Analysis with NumPy

Topic 05Day 03 · AMData Wrangling with pandas

Topic 06Day 03 · PMData Analysis & Visualisation with Python

03 / Your instructor

Vincent Leow

Tech Lead, Neutral Trade. He has built production data pipelines and machine-learning systems and previously co-founded the Singapore Data Science Academy, where he served as lead instructor.

04 / Course fee and subsidies

What you pay, and what funding covers.

Learner profile	Subsidies	Final course fee
Singaporeans aged 40 years and above	70% IBF subsidy	S$525
Singaporeans aged 40 years and above	70% IBF subsidy + up to S$500 Opening SkillsFuture Credit	from S$25
Singaporeans aged below 40 years	50% IBF subsidy	S$875
Singaporeans aged below 40 years	50% IBF subsidy + up to S$500 Opening SkillsFuture Credit	from S$375
Permanent Residents (PRs)	50% IBF subsidy	S$875
Others (non-Singaporeans and non-PRs)	N/A	S$1,750

IBF-STS support is available to eligible Singapore Citizens or Permanent Residents who are physically based in Singapore and successfully complete the course, subject to prevailing eligibility, quantum and caps. Eligible Singapore Citizens may use up to S$500 from their Opening SkillsFuture Credit; SkillsFuture Mid-Career Credit cannot be used.