PYTHON FUNDAMENTALS
40Hrs Part-Time | 5 Weeks
Transform yourself into a skilled Python programmer
Grants available for SG & PR*
About Data Science Course
Data science refers to next-generation computing, wherein specific tools and algorithms are applied for in-depth analysis of big data, taught in Data Science Course. Python for Data Science is a 40-hour course that covers basic programming abilities in Python, such as variable types, operations, user input/output, logic, loops, functions, and object-oriented programming, over the course of six weeks. Advanced Python concepts, project file management, and rudimentary error handling and testing are also included. Using python, you can apply suggested programming methods such as documentation and naming conventions to create coding solutions through hands-on activities. The software used here is Python. Basic knowledge of computers and using productivity software are necessary for this course. The Python course will teach you how to analyse business objectives, find relevant data, and choose the best programming language to address the problem.
COURSE OVERVIEW
Join us to learn one of the most used programming languages in the world – Python!
Python is used extensively in data science and machine learning which has applications in countless industries.
In our 5-week part-time course, you’ll learn the basics of programming with Python, working with data, calculations, and more. Enroll now to build a strong foundation in software development industry!
DURATION: 40 Hrs across 5 weeks | Part-Time | Tue & Thur
STUDENT-TO-LECTURER RATIO: 18 Students : 1 Lecturer
MEDIUM OF INSTRUCTION AND ASSESSMENT: Lectures, Practical (Hands-on Application) and Project-based Assessment
Course Code: TGS-2022011073 (CLASSROOM & ASYNCHRONOUS E-LEARNING)
Grants Available: SSG, SFC, PSEA
SOFTWARE TAUGHT: Python
HARDWARE REQUIREMENTS: Windows/Mac Laptop no older than 2017
AWARD: Statement of Attainment and Certificate of Completion
COURSE REGISTERED NAME: Python for Data Science
Note: Customisation Available for Corporate Clients
INSTRUCTORS
TOPICS COVERED
- Design requirements for simple, basic software components
- Basic software design tools and techniques
- Types of controls, elements and features in software
- Indicators of software functionality and interoperability
- Documentation of design details
- Analyse business objectives to identify relevant information formation and select the appropriate programming language to solve the problem
- Design, implement, and debug simple programs by implementing the necessary algorithmic constructs and techniques
- Compose and articulate programming solutions based on a business objective.
LEARNING OUTCOMES
- Analyse business objectives to identify relevant information and select appropriate programming language to solve the problem
- Design, implement and debug simple program by implementing the necessary algorithmic constructs and techniques
- Compose and articulate programming solutions based on a business objective
ADDITIONAL INFORMATION
UPCOMING INTAKES
TBC
ENTRY REQUIREMENTS
- Age: 18 years and above
- Minimum Education Level – N Level
- Language: English (Spoken & Written)
- Work Experience (No. of Years) – N.A
Entry Requirements
- Passion for Programming.
- Intend to seek a career switch in the Data Analytics Vertical
- Minimum Education Level – N Level
- Work Experience (No. of Years) – N.A
- Age – 18 years and Above
- Language (Written) – English Language (Spoken) – English
- Language (Written) – English
- Workplace Literacy and Numeracy Level (WPLN) >= 6
- Computer Skills – Basic
Basic Knowledge of Computers
- Start-up, log on, and shut down a computer system properly.
- Use a mouse pointing device and keyboard.
- Identify and use icons (folders, files, applications, and shortcuts/aliases)
- Minimize, maximize, and move windows.
- Check how much space is left on a drive or other storage device.
Proficiency in Using Productivity Software
Understand and know how to use the following types of software programs:
- Word processing (example: MS Word, Google Doc, Writer)
- Presentation (example: PowerPoint, Impress)
- Compression software (example: WinZip, Stuff It, 7-Zip)
Moving Files
- Transfer files by uploading or downloading.
- View and change folder/document security settings.
- Copy files from hard disk to storage devices and vice versa
COURSE FEES
(*Incl 9% GST)
Full course Fees: SGD 2,616
PR/Singaporean 21 – 39Yrs/Non-SME Company Sponsored Singaporean & PR: SGD 1,416
Singaporean 40Yrs or Above/ SME Company Sponsored Singaporeans & PR: SGD 936
Registered Course Name (MySkillsFuture Website) : PYTHON FOR DATA SCIENCE (Classroom & Asynchronous e-Learning)
Registered Course Code/ID : TGS-2022011073
- Self-sponsored students can use SSG Training Grant, Skills Future Credit, PSEA grant, UTAP, and SEP.
- 75% attendance is mandatory to complete the program
- The student should submit and must pass the prescribed assessment (i.e. Practical Project)
- *For additional grant eligibility, please contact us.
FAQs
Do I need to have coding experience for this course?
No, it’s not mandatory for you to know how to code or have any experience for this course.
What is the admission process and payment options are available?
Once you decide to take up the course, our course advisor will guide you through the admissions process and inform you about the available grants.
We accept payments by check, bank transfer, credit/debit card and PayPal. For more information, please contact us directly using the form below.
SPEAK TO AN ADVISOR
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