Python is a highly versatile and beginner friendly programming language with tremendous growth in popularity showing no signs of stopping. It has widespread application (from data science and software engineering to advanced mobile app development, machine learning, and artificial intelligence) and is largely community supported.
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.
Duration:40Hrs Across 6 Tuesdays and Thursdays (7:30PM - 10:30PM)
Note:Customisation Available for Corporate Clients
Award of Certificate:Statement of Attainment and MAGES Certificate of Completion
Grants Available:SFC, TG
Course Registered Name:Python for Data Science
Course Code :TGS-2022011073 (CLASSROOM & ASYNCHRONOUS E-LEARNING)
Full Course Fees : SGD 2,568
PR/Singaporean 21 – 39Yrs/Non-SME Company Sponsored Singaporean & PR : SGD 1,368
Singaporean 40Yrs or Above/ SME Company Sponsored Singaporeans & PR : SGD888
(All fees include 7% GST)
Self-sponsored students can use Skills Future Credit and Training Grant by SSG. Learners eligible for SSG funding must achieve at least 75% attendance and pass all assessment components. *For additional grant eligibility, please contact us.
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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.