Course Information

  • Sessions 5 days
  • Duration 37.5 hrs
  • Level Beginner
  • Assessment NA

Venue

12 Woodlands Square #07-85/86/87 Woods Square Tower 1, Singapore 737715. 5 mins walk from Woodlands (NS9) MRT station.

The venue is disabled-friendly.

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Certification

  • Certificate of Completion from Tertiary Infotech - Upon meeting at least 75% attendance and passing the assessment(s), participants will receive a Certificate of Completion from Tertiary Infotech.

Additional Information

Duration

2 months (Full Time)

Assessment

3 hours online assessment after each module

Class (No of teacher : student): 1:20

Intake

  • 3 Nov 2025 to 29 Sep 2026
  • 4 May 2026 to 26 June 2026
  • 2 Jan 2026 to 2 Mar 2026
  • 2 Mar 2026 to 27 Apr 2026

Enrolment Requirement

  • Age: 21 years old and above
  • Language Proficiency: At least C6 for GCE "O" Level English
  • Academic: At least C6 for GCE "O" Level in any 3 subjects

Graduation Requirement

  • Attendance: 75%
  • Assessment: Passed

5 Days Python Programming Specialization

Course Code: C1200

What's This Course About

Step into the world of programming with our 5 Days Python Programming Specialization course. This course is crafted for those aspiring to master Python, one of the most versatile and in-demand programming languages in the tech industry. Over the course of five days, you will be immersed in an intensive learning experience, covering the fundamentals of Python, from basic syntax and control structures to complex functions and modules. Our curriculum is designed to build a solid foundation, whether you're a beginner or looking to refine your skills.

In this specialization, you will explore the practical applications of Python in various domains such as data analysis, web development, and automation. The course highlights include hands-on projects and real-world scenarios that will equip you with the skills needed to solve complex problems efficiently. By the end of this course, you will not only understand the core concepts of Python programming but also be able to apply them in creating robust and scalable applications. This is more than just a programming course; it's a gateway to advancing your career in tech, preparing you to tackle challenges and seize opportunities in the fast-evolving digital landscape.

WSQ Funding

Full Fee $1,500.00 Before GST
GST $135.00 9% of fee
Baseline Nett $885.00 SG/PR age 21+ · 50% funded
MCES / SME Nett $585.00 SG age 40+ · 70% funded
Funding and Grant Applications

No funding is available for this course

Course Fee

$1,500.00 (GST-exclusive)
$1,635.00 (GST-inclusive)

Course Date

Course Time

* Required Fields

Additional Note

Please bring your own laptop for hands-on training. If you don't have laptop, we can provide spare laptop for training use.

Post-Course Support

  • We provide free consultation related to the subject matter after the course.
  • Please email your queries to enquiry@tertiaryinfotech.com and we will forward your queries to the subject matter experts.

Cancellation & Reschedule Policy

  • You can register your interest without upfront payment. There is no penalty for withdrawal of the course before the class commences.
  • We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% for any paid amount.
  • Note the venue of the training is subject to changes due to availability of the classroom.

Course Details

Course Details

What You'll Learn

Day 1 Topic 1: Python Fundamental

Topic 1.1 Get Started on Python

  • Overview of Python
  • Install Python
  • Install Python IDE
  • Code Your First Python Script
  • Comment

Topic 1.2: Data Types

  • Number
  • String
  • List
  • Tuple
  • Dictionary
  • Set

Topic 1.3 Operators

  • Arithmetic Operators
  • Compound Operators
  • Comparison Operators
  • Membership Operators
  • Logical Operators

Topic 1.4 Control Structure, Loop and Comprehension

  • Conditional
  • Loop
  • Iterating Over Multiple Sequences
  • Comprehension

Topic 1.5 Function

  • Function Syntax
  • Return Values
  • Default Arguments
  • Variable Arguments
  • Lambda, Map, Filter

Topic 1.6 Modules & Packages

  • Import Modules and Packages
  • Python Standard Packages
  • Third Party Packages

Day 2 Topic 2: Python Intermediate

Topic 2.1 Comprehensions & Generators

  • Comprehension Syntax
  • Types of Comprehension
  • Generator Syntax
  • Types of Generators

Topic 2.2 File and Directory Handling

  • Read and Write Data to Files
  • Manage File and Folders with Python OS Module
  • Manage Paths with Python Pathlib Module

Topic 2.3 Object Oriented Programming

  • Introduction to Object Oriented Programming
  • Create Class and Objects
  • Method and Overloading
  • Initializer & Destructor
  • Inheritance
  • Polymorphism

Topic 2.4 Database

  • Setup SQLite3 Database
  • Apply CRUD Operations on SQLite3
  • Integration to External Databases

Topic 2.5 Error Handling Using Exception

  • Exceptions versus Syntax Errors
  • Handle Exceptions with Try and Except Blocks
  • The Else Clause
  • Clean Up with Finally

Day 3 Topic 3: Python Data Analytics and Visualization

Topic 3.1 Data Preparation

  • Data Analytics with Pandas
  • Pandas DataFrame and Series
  • Import and Export Data
  • Filter and Slice Data
  • Clean Data

Topic 3.2 Data Transformation

  • Join Data
  • Transform Data
  • Aggregate Data

Topic 3.3 Data Visualization

  • Data Visualization with Matplotlib and Seaborn
  • Visualize Statistical Relationships with Scatter Plot
  • Visualize Categorical Data with Bar Plot
  • Visualize Correlation with Pair Plot and Heatmap
  • Visualize Linear Relationships with Regression

Topic 3.4 Data Analysis

  • Statistical Data Analysis
  • Time Series Analysis

Topic 3.5 Advanced Data Analytics

  • Data Piping
  • Groupby and Apply Custom Functions
  • Linear Regression

Topic 1 Descriptive Statistics

  • Mean & Medium
  • Standard Deviation & Variance
  • Percentiles
  • Summary

Topic 2.1: Data Visualization with Seaborn

  • What is Seaborn
  • Visualizing Statistical Relationships with Scatter Plot
  • Visualizing Categorical Data with Bar Plot
  • Visualizing Correlation with Pair Plot and Heatmap
  • Visualizing Linear Relationships with Regression

Topic 2.3 Hypothesis Testing with SciPy

  • What is Hypothesis Testing
  • T Statistics
  • Student's t-test

Day 4 Topic 4: Python Statistical Analysis

Topic 4.1 Descriptive Statistics

  • Mean & Medium
  • Standard Deviation & Variance
  • Percentiles
  • Summary

Topic 4.2: Data Visualization with Seaborn

  • What is Seaborn
  • Visualizing Statistical Relationships with Scatter Plot
  • Visualizing Categorical Data with Bar Plot
  • Visualizing Correlation with Pair Plot and Heatmap
  • Visualizing Linear Relationships with Regression

Topic 4.3 Hypothesis Testing with SciPy

  • What is Hypothesis Testing
  • T Statistics
  • Student's t-test

Topic 4.4 Statistical Modeling with StatsModel

  • What is Statistical Modeling
  • Statistical Modeling with StatsModel
  • Goodness of Fit
  • ANOVA

Topic 4.5 Bayesian Inference with PyMC3

  • Bayesian Inference
  • Using PyMC3 for Bayesian Inference

Day 5 Topic 5: Python Web API with Flask

Topic 5.1 Get Started on Flask API

  • What is Flask?
  • Request Response Cycle
  • Create a Simple Flask API
  • Debug Mode
  • Routing
  • Testing the API on Postman

Topic 5.2 Returned Data from API

  • JSON Format
  • Jsonify the Data
  • HTTP Methods and Status Code
  • Add Status Code to the Data
  • Variable Rules
  • Test Out URL Rules on Postman

Topic 5.3: Working with Database

  • Database
  • ORM and SQLAlchemy
  • Define Table and Data
  • Serialize Data with Marshmallow

Topic 5.4: API Security

  • Create a Register Form
  • Login
  • Authentication with JSON Web Token (JWT)

Topic 5.5: Read, Create, Update and Delete

  • Read Data
  • Add Data
  • Update Data
  • Delete Data

Course Info

Prerequisite

The learner must meet the minimum requirement below :

  • Read, write, speak and understand English

Target Audience

  • NSF
  • Full Time Students
  • Data Analysts

Software Requirement

This course will use Google Colab for training. Please ensure you have a Google account.

Job Roles

Job Roles

  • Aspiring Software Developer
  • Data Analyst
  • Web Developer
  • Automation Engineer
  • Data Scientist
  • System Administrator
  • Bioinformatics Specialist
  • Research Scientist
  • Finance Professional
  • Machine Learning Enthusiast
  • GIS (Geographic Information System) Specialist
  • IT Consultant
  • Network Engineer
  • Database Administrator
  • Tech Entrepreneur.

Trainers

Trainers

Dr Alvin Ang: Dr Alvin Ang is a ACTA certified trainer. Alvin Ang did his Ph.D., Masters and Bachelors from NTU, Singapore. Previously he was a Principal Consultant (Data Science) as well as an Assistant Professor. He was also 8 years SUSS adjunct lecturer. His focus and interest is in the area of real world data science. Though an operational researcher by study, his passion for practical applications outweigh his academic background. He owns a startup externally Terence Ee: Terence Ee is a ACTA certified trainr that has delivered IT training in Singapore and Myanmar. He has also facilitated faith formation courses for Christians in Singapore and Myanmar. As a trainer, his mission is to co-create insightful and actionable learning experiences with his learners.His current areas of focus include project management, information security management, quality management and office productivity applications. Terence has more than 25 years of corporate IT experience. He has held senior management roles in the public and private sectors. He holds a Master of Science in Technology Management, a Bachelor of Science in Computer and Information Sciences, a Diploma in Family Education, and the Advanced Certificate in Training and Assessment (ACTA). Part of his spare time goes towards tutoring his children in their studies (while learning a thing or two along the way). He is also imparting to them the essential skills for thriving in a digital world. Alan Tan: Alan Tan is a ACTA certified trainer. Alan Tan hold Masters in Data Science in Singapore University of Technology and Design. He is Microsoft Power Platform PL-900 certified and Microsoft Azure Data Fundamentals  Certified DP-900. He have this skills in Microsoft Power Platform development skills such as Powerapps, Power Automate,Power Portal, Power Virtual Agent, Power BI, Sharepoint, Dataverse, etc. For Programming language such as Python and Robotics Process Automation (RPA) development. He is working as a Senior Data Engineer in an MNC. Bernard Peh: Bernard Peh is a Business Development Director and ACTA certified trainer with over 20 years of experience in the financial services industry. He has held key leadership roles and integrated technology, digital marketing, and data science to drive growth in sales, recruitment, and financial planning. As a mentor, Bernard has developed many successful financial professionals who have achieved top industry accolades like TOT, COT, and MDRT. With deep expertise in data science, Bernard has advised firms and designed training programs for institutions like NTUC Learning Hub. He continues to apply data science to collective funds, achieving exceptional results such as a 400% increase in assets under management, while empowering financial professionals with technology-driven solutions. Ken Yuen: Ken Yuen is a ACTA certified trainer. He has more than 10 years of experience working as an instructor, Application Development Engineer, Technical Consultant and Project Manager. He is an MOE-Registered Instructor teaching STEM programs for past 3 years such as Arduino, Micro:bits and robotics to schools and libraries based on the smart nation initiative roadmap. He completed his Diploma in Electronic Engineering at Singapore Polytechnic and graduated with Bachelor of Electrical and Electronics Engineering from Nanyang Technological University and certified PMP (Project Management Professional). Shahul H. Maricar: Shahul H. Maricar is a ACTA certified trainer. Shahul H. Maricar has been a content developer and  webmaster, building educational websites and applications with HTML, CSS and JavaScript. He then served as an IT analyst, writing programs for automating custom workflows as well as data extraction and analysis in the healthcare field.   He is currently a freelance educator and is actively involved with development projects in game programming,  computer-aided design and computer graphics. Noel Lou: Noel Lou is a ACTA certified trainer. Experienced Mentor with a demonstrated history of working in the education management industry. Skilled in IOS, Unity3D, Python, Microsoft Excel, Customer Service, and Microsoft Word. Strong professional with a Bachelor’s Degree focused in Marine offshore engineering from Newcastle University.

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