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WSQ Funding Singapore

Upskill Courses (Python & Data Science Courses)

The Workforce Skills Qualifications (WSQ) framework is a national continuing education and training and certification system for skills upgrading and employability enhancement of adult learners. WSQ Funding comprises a full competency map covering occupations in an industry with clear career development and training pathways. The WSQ programmes are funded and quality-assured by SkillsFuture Singapore, which awards the WSQ certifications.





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Our Suggested Progression Path in Python & Data Science

Python Programming Foundation
(2 Day Training)

  • This is a beginner’s course
  • Understanding how to code applications in Python, a powerful, modern, and sought-after programming language.
  • Lesson 1: Preparing to Start Learning Python
  • Lesson 2: Data types, Operators, Function, Exception, Control
  • Lesson 3: Modules & packages
  • Lesson 4: Comprehensions, Database
  • Lesson 5: Object Oriented Programming
  • Basic Computer & Internet Operation Skills

Python for Data Science
(2 Day Training)

  • Participants will learn to write programs in Python which can perform calculations, retrieve, and manipulate data, and visualize datasets with graphics (graphs and plots).
  • Participants who complete learning these skills will finish the course at a beginner level of Python and will be ready to take up intermediate and advanced courses in data analytics and science.
  • Lesson 1: Python Foundation
  • Lesson 2: Functions, Classes & File Operations
  • Lesson 3: Understanding Python Libraries and Web Scraping
  • Basic Python programming background

Data Analytics Using Python
(2 Day Training)

  • Data analytics using Python is an intermediate level course in understanding how to play with data and perform visualizations and analytics in Python.
  • Participants will learn to write programs in Python which will help in analysis, visualization, statistical calculations, data wrangling and manipulation.
  • Participants who complete learning these skills will finish the course at an intermediate level of python and will be ready to take up advanced courses in machine learning.
  • Lesson 1: Understanding Data
  • Lesson 2: Data Wrangling
  • Lesson 3: Exploratory Data Analysis
  • Lesson 4: Data Visualization
  • Basic Python programming background

Machine Learning with Python
(2 Day Training)

  • Machine learning with python is an advanced level course in understanding how to perform predictive analytics using complex algorithms and machine learning.
  • Participants will learn to write programs in Python which can perform complex level of analytics and create, predict, and evaluate using various machine learning models.
  • Participants who complete learning these skills will finish the course at an advanced level of Python and will be ready to take up
    further advanced courses in machine and deep learning.
  • Lesson 1: Basic Recap – Fundamentals of Data Preparation
  • Lesson 2: Introduction to Machine Learning with Scikit-Learn
  • Lesson 3: Unsupervised Machine Learning
  • Lesson 4: Supervised Machine Learning
  • Lesson 5: Evaluating Machine Learning Models
  • Basic Python programming background