Python for Data Science

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This programme introduces basic Python programming and community best practices such as using Jupyter/Python. The programme then moves on to show how Python can be applied to data mining, analytics, data science and artificial intelligence projects. At the end of this programme, participants will gain an overview of the Python ecosystem as well as the skills necessary to self-learn and continue on their Python learning journey.  
The programme will define data science and explore the first two things a data scientist must do – cleaning and visualizing data. It will then cover the Data Science Workflow - training models and testing them through the application of machine learning models to various industry-relevant data science problems. The tools used will be Scikit-learn and Keras.

Day 1
1. Python Basics (I): Python Environments
2. Python Basics (II)
3. Working with Data Sources
4. Mini-Project: Making a Data Product with Python and Jupyter

Day 2
1. Data Exploration and Wrangling
2. Data Visualization with the matplotlib
3. Introduction to key Data Science
4. Mini-Project (and/or) Recap: Creating data visualization and data analytics product

Jupyter, Python.

Key Benefits
At the end of the programme, participants will be able to:
• Use Python for basic data munging to aggregate, clean and process data from local files, databases,   and online.
• Create visualization with Matplotlib, Pandas.plot, and Seaborn
• Create basic to intermediate analytics models with Python/Sckit-learn
• Using the above tools within the context of solving essential data science problems.
• Applying Python tools to import data from various sources, explore them, analyze them, learn from   them, visualize them, and share them.

Who Should Attend
Business Analysts, Data Analysts, Software Engineers, Programmers 

Must be familiar with the Python programming language, or have attended the Introduction to Python training and statistics 101 at a pre-university level.

Python for Data Science


20 - 21 Sep 2018
12 - 13 Nov 2018
28 - 29 Nov 2018


2 Days
9.00am to 5.30pm (Daily)


National University of Singapore
University Town


Download brochure in pdf format

International Participants

S$ 1605.00

  • Incl. GST

Singapore Citizens
(39 yrs old or younger) 
or Singapore PRs

S$ 481.50

  • Incl. GST

Singapore Citizens
(40 yrs or older)

S$ 181.50

  • Incl. GST

Enchanced Training Support for SMEs

S$ 181.50

  • Incl. GST

Fees & Fundings


Singapore Citizen1
39 years old or younger
Singapore Citizen1
40 years or older2
Citizen1 Eligible
for WTS3
Singapore PRs

Enhanced Training
Support for SMEs4
Full Programme FeeS$1,500.00S$1,500.00S$1,500.00S$1,500.00S$1,500.00S$1,500.00
SkillsFuture Funding-(S$1,050.00)(S$1,050.00)(S$1,050.00)(S$1,050.00)(S$1,050.00)
Nett Programme FeeS$1,500.00S$450.00S$450.00S$450.00S$450.00S$450.00
7% GST on Nett
Programme Fee
Total Nett Programme
Fee Payable, Incl. GST
Less Additional Funding if
Eligible Under Various Scheme
Total Nett Programme Fee, Incl. GST,
after additional funding from the various funding schemes
1 All self-sponsored Singaporeans aged 25 and above can use their $500 SkillsFuture Credit to pay for the programme. Visit to select the programme.
2 Mid-Career Enhanced Subsidy - Singaporeans aged 40 and above may enjoy subsidies up to 90% of the programme fee.
3 Workfare Training Support (WTS) - Singaporeans aged 35 and above (13 years and above for persons With disabilities) and earn not more than S$2,000 per month, may enjoy subsidies up to 95% of the programme fee.
4 Enhanced Training Support for SMEs (ETSS) - SME-sponsored employees (Singaporean Citizens and PRs) may enjoy subsidies up to 90% of the programme fee. For more information, visit
5 Eligible organisations (excluding government entities) may apply for the absentee payroll funding via SkillsConnect at for Singaporean/permanent resident participants attending the programme during working hours. The absentee payroll funding is computed at 80% of hourly basic salary capped at $4.50 per hour or $7.50 per hour for SME or 95% of hourly basic salary for WTS. For more information, visit

Registration will close 5 working days prior to programme commencement date