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Python Programming

Date: 14 Sep, 15 Sep, 16 Sep 2022 | 9am-5.30pm | Online

Duration: 3 Days

Course Overview

Python Programming teaches the fundamentals of Python. It introduces the highly popular programming language with simplicity but brings forth the power and clear syntax of Python. It teaches the core features of Python and participants will be able to create software applications using Python. Besides, it teaches the Numpy and pandas packages that prepare participants to produce Data Analytics software applications.

This module is part of:

Course Objectives

This course will equip learners with the following competencies:

  • Learn and apply data structures in Python
  • Learn and apply programming constructs in Python
  • Learn to create and use files and produce outputs in Python
  • Build a strong foundation in the fundamentals in Python programming
  • Learn and use libraries (e.g. Numpy and pandas) in Python API
  • Learn and apply Python programming language to create simple software applications

Topics

Topics covered include:

  • The Python programming environment: Learn to install and use the Anaconda programming environment to get the best out of Python.
  • The Python variables and types: Learn the fundamental elements that define a programming language.
  • Data structures including list, tuple, set, dictionary and string: Learn the building blocks that make up a Python program.
  • Operators: Learn how to use the components in constructing statements to express yourself in Python.
  • Program flow controls: Learn how to provide dynamism in programming.
  • Functions: Learn how to express yourself more fluently with statements. • Inputs and outputs: Learn how to create interactivity in Python.
  • File handling: Learn how to read from and store data to secondary storage.
  • Numpy: Learn how to use the popular package for managing numbers.
  • pandas: Learn how to use extended data structures, Series and DataFrame, for efficient management of data variables.
  • Create data analytics software applications using the data structures and functions in Python.

Who Should Attend

Data Analyst, Business Analyst

Prerequisites

Diploma Holders

Course Conveners

(Click their photos to view their short biographies)

ccccc Danny Poo

Assoc Prof Danny PooAssoc Prof Danny Poo

ddddd Ai Xin

Dr Ai XinDr Ai Xin

Course Fees

Singapore Citizens
39 years old or younger
40 years old or older
Singapore PRs
Enhanced Training Support for SMEs
International Participants

Total Nett Programme Fee Payable, Including GST, after additional funding from the various funding schemes

Participants must fulfill at least 75% attendance and pass all assessment components to be eligible for SSG funding.

To enquire, email soc-ace@nus.edu.sg

To register, click Register

Course Code:
TGS-2022011018
TGS-2022011046 (Synchronous e-learning)

Course Fee Breakdown

Singapore Citizens

Singapore Citizens

39 years old or younger

Singapore Citizen

40 years old or older
Singapore PRs
Enhanced Training Support for SMEs
International Participants