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.
SHORT COURSE OVERVIEW
Join us to learn one of the most used programming languages in the world – Python!
In our 5-week part-time course, you’ll learn the basics of programming with Python, working with data, calculations, and more. Python is used extensively in data science and machine learning which has applications in countless industries.
Enroll now to gain a strong foundation in this invaluable skill!
Duration: 40Hrs (Tuesdays and Thursdays; 7:30PM – 10:30PM SGT)
Course Code: TGS-2022011073 (CLASSROOM & ASYNCHRONOUS E-LEARNING)
Grants Available: SSG, SFC, PSEA
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
Jan 2024
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 8% GST)
Full Program Fees: SGD 2,592
PR/Singaporean 21 – 39Yrs/Non-SME Company Sponsored Singaporean & PR: SGD 1,392
Singaporean 40Yrs or Above/ SME Company Sponsored Singaporeans & PR: SGD 912
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.
FREQUENTLY ASKED QUESTIONS
Who is this program for?
- 16 years old and above [min. 16 years old for Unreal Engine Foundation Program]
- Open to all Singapore Residents (Including citizens, PR, LTVP Holders)
- Basic computer skills & proficiency in English
Do I need to know coding for these courses?
No, it’s not mandatory for you to know coding for this program, but basic needs to be clear in advance.
If you’re passionate about the web development and data science industry, we’re the team that will make you a successful part of it.
What is this course all about?
This course aims to teach basic programming skills using Python, including variable types, operations, user input/output, logic, loops, functions, and object-oriented programming.
Students also explore advanced Python concepts, learn to manage project files, and perform basic error handling and testing. Through hands-on activities, students apply recommended programming practices including documentation and naming conventions to build coding solutions using python.
What is the admission process and payment options are available?
Once we receive your contact information the course consultant will contact you he/she will guide you through the admissions process and the grants that are available for you.
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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