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Course Overview

Data Science is an umbrella term that incorporates multiple disciplines, including data analytics, statistics, computing, machine learning, predictive analytics, text analytics and more. It is a forward-thinking approach that blends data extraction, preparation, exploration and machine learning with the aim of discovering hidden insights and predicting outcomes. Many organisations recognize the importance of Data Science in gaining a competitive edge. So, what skills do data scientists need? How does one get started with a data science project?

 

This course covers the fundamental skills needed to kick-start a data science project by using an open-source programming language. It focuses on how to read, explore, manipulate data and present data using the right visualisations. There will be guided programming and participants will learn how to perform data exploration and analysis techniques to discover new knowledge from data to aid data-driven decisions in an intelligent and informed way.

 

Who Should Attend

Individuals who would like to have a hands-on introduction to data science.

 

 

Pre-requisites 

 

Basic IT or Technology-related background.

What You'll Learn

By the end of this course, you will be able to use an open-source programming platform and its related packages to:

  • Understand your data
  • Manipulate your data into desired formats
  • Apply appropriate techniques to carry out Exploratory Data Analysis (EDA)
  • Use suitable visualizations to communicate your findings

Introduction to Data Science

  • What is data science?
  • The different skills required of a data scientist
  • Overview of the applications of data science

Data Types and Structures

  • Understanding data types and structures
  • Getting data into useful form
  • Summarizing data
  • Transforming data

Exploratory Data Analysis (EDA) with visualizations

  • Univariate analysis
  • Bivariate analysis
  • Multivariate analysis

Communication with Markdown report

 

 

Certification

 

Participants who meet at least 75% of the required course attendance and attempt the assessment will be awarded the Certificate of Performance. 

Course Schedule/Apply

Intake Info Application Closing Date Course Duration

Not Available

Not Available

1 day

9.00am - 5.30pm

Register Interest

Registration may be closed earlier due to overwhelming response.

 

For Corporate training, click here.

 

 

Application Procedures

 

Click on the Apply button above to submit your application online. Registration may be closed earlier due to overwhelming responses.

 

Steps to follow in your application:

 

Step 1 - Enter NRIC/ Passport No

Step 2 - Select ZN6 and course commencement date.

Step 3 - Enter personal, qualification, employment and sponsoring details (if applicable).

Step 4 - Applicable for 'Stackable based modular course' or 'Diploma or Post-Diploma courses' only. Select, rank your preference for the selected subject(s) and indicate the number of subject(s) you wish to take. Please note that the subject start date(s) denotes the semester start date.

Step 5 - Make declaration and submit online application

Course Fees

Fees Type Course Fees
(w GST) 
Singapore Citizens
Full Course Fee / Repeat Students S$321.00
Aged 40 and above / SME-sponsored S$36.30
Aged below 40 S$96.30
Non-Singapore Citizens
Full Course Fee / Repeat Students S$324.00
Singapore Permanent Residents / Long-Term Visit Pass Plus (LTVP+) Holder S$97.20
SME-sponsored (Singapore Permanent Residents) / Long-Term Visit Pass Plus (LTVP+) Holder) S$37.20

SkillsFuture Credit Approved. For more details, please click here


With effect from 1 Jul 2020, the Workforce Training Scheme (WTS) will be replaced by the Work Support Scheme (WSS), for more information, please visit:
https://www.wsg.gov.sg/programmes-and-initiatives/workfare-skills-support-scheme-individuals.html

Lecturer/Trainer Profile

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Course Contact

  • 67881212
  • Monday - Thursday: 8:30am - 6:00pm
    Friday: 8:30am - 5:30pm
     
    Closed during lunchtime, 12:00pm - 1:00pm
    and on weekends and public holidays.

  • https://www.tp.edu.sg/tsa
  • Temasek SkillsFuture Academy (TSA)
    Temasek Polytechnic
    East Wing, Block 1A, Level 3, Unit 4
    21 Tampines Ave 1
    Singapore 529757

     

  • Temasek Polytechnic reserves the right to alter the course, modify the scale of fee, amend any other information or cancel a course with low enrolment.