Python for Data, Ops and Things

Overview

Python is a fun, flexible and expressive scripting language that can automate repetitive process and tasks, evaluate performance of your servers, and even interact with your IoT devices. Python can also be used to handle data such as crawling, scraping, cleaning and processing your data from webpages external APIs, or other sources for mining and manipulation.

By the end of the course, you'll have the basic capability in using Python for simple data transformation and analysis. The course is hands-on; spotted with many case studies in what you need to do to solve problems including your very own real-world challenge. Rather than covering the entire Python language, this course is designed to firm your foundation – to ready you to the world of backend development that involves data, algorithms, server management, administration and machine learning and interaction.

This course is part of the StackUp - Startup Tech Talent Development programme offered by NUS-ISS.
  • Python for Data, Ops and Things
  • Python for Data, Ops and Things

Enquiry

Please contact Ms. Sherlyn LIM at tel: 65165777 or email for more details.

Facts

Class Time: 9.00am - 5.00pm

Upcoming Classes

Class 101 Jun 2018 to 14 Jun 2018 (Full Time)

Duration: 10 days

When:
Jun:
01, 04, 05, 06, 07, 08, 11, 12, 13, 14
Time:
9.00am - 5.00pm

Class 225 Jun 2018 to 06 Jul 2018 (Full Time)

Duration: 10 days

When:
Jun:
25, 26, 27, 28, 29
Jul:
02, 03, 04, 05, 06
Time:
9.00am - 5.00pm

Class 328 Jul 2018 to 24 Aug 2018 (Part Time)

Duration: 10 days

When:
Jul:
28(Sat), 30
Aug:
01, 03, 04(Sat), 06, 08, 10, 11(Sat), 13, 15, 17, 18(Sat), 20, 23, 24
Time:
9.00am - 5.00pm (Saturdays); 6.30pm - 10.00pm (Weeknights)

Class 401 Oct 2018 to 12 Oct 2018 (Full Time)

Duration: 10 days

When:
Oct:
01, 02, 03, 04, 05, 08, 09, 10, 11, 12
Time:
9.00am - 5.00pm

Course Details

  • Key Takeaways
  • Who Should Attend
  • What Will Be Covered
  • Fees & Funding
  • Certificate
  • Preparing for Your Course
At the end of the course, you will be able to:
  • Apply basic Python syntax
  • Use Python to automate your daily operational work
  • Use Python to evaluate server performance (i.e., processes, file system)
  • Plan and implement Python code to collect structured data from API
  • Use Python to process and organize unstructured data in website scraping
  • Apply Python for data analysis
  • Apply Python to do simple data transformation
This course is designed for:
  • Data/Business/Financial Analyst
  • Data Analytic/Data Science Professional
  • Hardware/Data/Systems/IoT Engineers
  • Systems Administrator
  • Managers, Engineers, Designers, Accountants, Lawyers, Healthcare Professionals
  • Other professionals with disciplines from many background

What to Bring

Please bring along your laptop during the training.
Specs: 8 GB RAM minimum
16 GB RAM recommended
64 GB storage 1280x1024 minimum screen resolution
Windows 10 or Later/Mac OSX 10.10 or Later (64-Bit OS Required)

 
  • How to run Python codes (virtual environment, Jupyter Notebook)
  • Basic data structures, math operation, String
  • Basic Python data structures
  • Function in Python
  • Advanced python concepts
  • Overview of Linux operating system: Concepts of file system, process and how they work together in the operating system
  • File system concepts
  • File searching in Python
  • Process concepts
  • Process monitoring using Python
  • Networking concepts
  • Port scanner using Python
  • Introduction to Secure Shell Access (SSH)
  • Log file processing on remote server using Python
  • Introduction to API & example of API documentation
  • Data Collection via REST API using request & json library
  • Introduction to HTML for web scraping
  • Web scraping using scrapy
  • Data Analysis in Python with Pandas
  • Python coding practices: Pandas
  • Data visualization using Bokeh, Matplotlib
  • Python coding practices: visualization
  • Data Analysis in Python: numpy & scipy
  • Python coding practices: numpy, scipy
  • Python for Things - IoT
  • MQTT
  • Full data processing pipeline & visualization
Format
Lectures, quizes and assesments

Self-sponsored

International Participants

S'poreans and PRs 
(aged 21 and above)

SkillsFuture Mid-Career Enhanced Subsidy1 
(S’poreans aged 40 and above)

Workfare Training Support2
(S’poreans aged 35 and above, and earn ≤ $2,000 per month)

Full course fee

S$3000

S$3000

S$3000

S$3000

SSG grant

-

(S$2100)

(S$2100)

(S$2100)

Nett course fee

S$3000

S$900

S$900

S$900

7% GST on nett course fee

S$210

S$63

S$63

S$63

Total nett course fee payable, including GST

S$3210

S$963

S$963

S$963

Less additional funding if eligible under various schemes

-

-

(S$600)

(S$750)

Total nett course fee payable, including GST, after additional funding from the various funding schemes

S$3210

S$963

S$363

S$213


Singaporeans aged 25 and above can use their SkillsFuture Credit to pay for course fees, apart from government subsidies. For more information, click here.

Company-sponsored

International Participants

S'poreans and PRs 
(aged 21 and above)

SkillsFuture Mid-Career Enhanced Subsidy1 
(S’poreans aged 40 and above)

Workfare Training Support2
(S’poreans aged 35 and above, and earn ≤ $2,000 per month)

Enhanced Training Support for SMEs3

Notes

Full course fee

S$3000

S$3000

S$3000

S$3000

S$3000

SSG grant

-

(S$2100)

(S$2100)

(S$2100)

(S$2100)

Nett course fee

S$3000

S$900

S$900

S$900

S$900

7% GST on nett course fee

S$210

S$63

S$63

S$63

S$63

Total nett course fee payable, including GST

S$3210

S$963

S$963

S$963

S$963

Fee payable to NUS-ISS

Less additional funding if eligible under various schemes#
(company needs to submit training grant and claim via Skillsconnect)

-

-

(S$600)

(S$750)

(S$600)

Total nett course fee payable, including GST, after additional funding from the various funding schemes

-

-

S$363

S$213

S$363

Actual financial outlay by company

Various Funding Schemes

1Mid-Career Enhanced Subsidy

  • Singaporeans aged 40 and above may enjoy subsidies up to 90% of the course fees.


2
Workfare Training Support (WTS)

  • Singaporeans aged 35 and above (13 years and above for Persons With Disabilities) and earn not more than $2,000 per month, may enjoy subsidies up to 95% of the course fees.


3
Enhanced Training Support for SMEs (ETSS)

  • SME-sponsored employees (Singaporean Citizens and PRs) may enjoy subsidies up to 90% of the course fees. For more details, click on Enhanced Training Support for SMEs.


Course attendee is eligible for only one funding scheme.

#For company-sponsored participants, companies would need to pay upfront 30% of the course fee to NUS-ISS and submit a training grant application for the remaining eligible subsidies, and subsequently a claim in Skillsconnect. For details, please refer to Skillsconnect guide 4.1 & 5.1.

This course is aligned to the National Infocomm Competency Framework (NICF) and accredited by SSG. Absentee payroll and up to 70% SSG funding of the course fee is available for eligible participants (Singapore Citizens and Permanent Residents). Absentee payroll subsidy will be capped at 56 hours and is available for eligible companies and companies on a short work week system will receive the absentee payroll subsidy based on their employees' current income. Please visit www.ssg.gov.sg for full details.


Certificate of Completion

The ISS Certificate of Completion will be issued to participants who have attended at least 75% of the course.

Assessment

Participants will be assessed based on their aptitude, attitude and the quality of deliverables produced.

Participants may need to attend additional coaching sessions and re-assessments if they do not pass. ISS reserves the right not to disclose any information on the course assessment process.

 

NUS-ISS Course Registration Terms and Conditions

Find out more.

NUS-ISS and Learner’s Commitment and Responsibilities

Find out more.

WIFI Access

WIFI access will be made available. User ID and password will be provided in the participant’s kit.

Venue

NUS-ISS Stackup Studio
JTC LaunchPad @ One North
Block 79 Ayer Rajah Crescent #02-09
Singapore 139957

In the event of a change of venue, participants are advised to refer to the acceptance email sent one week prior to the commencement date.

Course Confirmation

All classes are subject to confirmation and ISS will send an acceptance email to participants one week prior to the commencement date. Confirmed registrants are to attend and complete all lectures, class exercises, workshops and assessments (where applicable). Additionally, all responses to feedbacks and surveys conducted by ISS and its partners must be submitted. All training and assessments will be delivered as described in the course webpage.

General Enquiry

Please feel free to write to isstraining@nus.edu.sg or call 6516 2093 if you have any enquiry or feedback.

Course Resources

Develop your Career in the Following
Training Roadmap(s)

Please click on the discipline(s) to view the training roadmap of related courses to assess your training needs and goals.

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