Python for Data Engineering

Dates: To be advised

Duration: Two Days

Course Overview

This course teaches the essential programming skills in Python needed to become a successful data engineer. Participants will learn fundamental python concepts including data structures and data analysis with a special focus on data engineering skills. It will cover different data engineering elements such as data ingestion, data acquisition and data manipulation. It will cover some additional advanced data engineering topics with Python such as working with Representational State Transfer (REST) Application Programming Interfaces (API) to pull data. By the end of this course, participants will be trained in writing basic programmes involving data engineering skills.

This module is part of Professional Certificate in Data Engineering Foundations.

Course Objectives

This course will equip learners with the following competencies:

  • Foundations in Python
  • Programming data engineering problems with Python
  • Using Python for data ingestion, data acquisition and data manipulation
  • Understanding different libraries and packages in Python which are useful for data engineers

Minimum Entry Requirement

Diploma Holder

Course Convener

(Click their photos to view their short biographies)

ddddd Ganesh Neelakanta Lyer

Dr Ganesh Neelakanta LyerDr Ganesh Neelakanta Lyer

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 Codes: TGS-2023017999 / TGS-2023018000 (Synchronous e-learning)

Select Short Course / Modular Course -> Apply for Myself -> Browse Academic Modules / Short Courses-> Module/Course Category -> Short Courses -> Browse Courses-> Advanced Computing for Exe (Faculty/Department / Unit)

Please download the user guide for NUS Online Application Portal after you click ‘Apply for Myself’ if you need assistance.

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

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