CET184 Python for Data Analytics

Course Provider

Wee Kim Wee School of Communication and Information (WKWSCI)

Certification

FlexiMasters

Academic Unit

3

Introduction

Data science involves the collection, management, processing, analysis, visualization, and interpretation of vast amounts of heterogeneous data associated with a diverse array of applications. Although it started over fifty years ago, data science has become important in the last ten years because of society’s move to an online lifestyle. Today, organisations have data on a wide variety of our data activities, and data scientist has become one of the most promising jobs in the 21st century. In this course, we will be analyzing data using Python, an interpreted general-purpose programming language. We will begin with using Python as a calculator and moving on to performing basic statistical calculations using Python and ending up with using Python to visualize data.

This course is part of:

- Graduate Certificate in Information Management and Analytics
- FlexiMasters  in Information Management and Analytics

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Course Availability

  • Date(s): 06 Jul 2024 to 31 Aug 2024

    Time: 10am - 1pm, 2pm - 5pm (Saturdays: 6, 13, 20, 27 Jul, 3, 10 & 31 Aug 2024)

    Schedule: Download here

    Venue: Online (Synchronous e-learning)

    Registration is closed.

The learner will be able to write and debug basic Python programmes. The learner will also be prepared to take a data mining module based on Python’s numpy, scipy and matplotlib libraries.

  • Using Python as a calculator.
  • Basic data types: integers, floats, and strings. Compound data types: lists, dictionaries, sets, and tuples.
  • Flow control: if … else, for loop, while loop, break and continue, pass.
  • Functions: arguments, recursion, Python modules and packages.
  • File operations: opening and closing files, reading file content.
  • Python date and time modules.

Working adults from the industry with some experience in information technology and related fields would better appreciate the course. 

Good communication skills (written and spoken English) are recommended as some assessment components may require presentations and report writing.

Standard Course Fee: S$4,905

SSG Funding Support

 Course fee

Course fee payable after SSG funding, if eligible under various schemes

 

BEFORE funding & GST

AFTER funding & 9% GST

Singapore Citizens (SCs) and Permanent Residents (PRs) (Up to 70% funding)

S$4,500.00

S$1,471.50

Enhanced Training Support for SMEs (ETSS)

S$571.50

SCs aged ≥ 40 years old
SkillsFuture Mid-career Enhanced Subsidy (MCES)
(Up to 90% funding)

  • Standard course fee is inclusive of GST.
  • NTU/NIE alumni may utilise their $1,600 Alumni Course Credits. Click here for more information.

 

Read more about funding

Vaidhyanathan Hariharan

Vaidhyanathan Hariharan has over 25 years of technology experience and has worked as developer, analyst, Delivery Project Manager as well as Product Head.  Specializing in the banking and finance sector, Hariharan has implemented various projects in compliance, risk management, corporate and investment banking and asset management. As a Product Head, he was a member of a high profile team to propose cash management reforms and amendments in the domain of payments, data mining and analysis and business process management analysis. This has contributed not only in implementation of new business and cash management processes, and also reduced payment-related frauds. Hariharan is an alumni of NTU, certified Project Manager, certified scrum master and holds Six Sigma Lean Black Belt certification.

COURSE TITLEACADEMIC UNIT
CET180 Information Discovery in the Age of the Internet3
CET181 Information Retrieval Systems and Techniques3
CET182 Introduction to Data Mining3
CET183 Information Visualization Techniques3
CET185 Knowledge Management Tools3


Listed courses are:

  • Credit-bearing and stackable to Graduate Certificate in Information Management and Analytics (total 9AUs) and FlexiMasters in Information Management and Analytics (total 15AUs).
  • SkillsFuture Credit approved.