Data science refers to next-generation computing, wherein specific tools and algorithms are applied for in-depth analysis of big data. Several organizations are deploying data science platforms to sustain in the competitive landscape through the optimal use of analytics and to obtain valuable insights from structured and unstructured data available within the ecosystem.
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 Weeks
Schedule:3Hrs Lesson Twice a Week
Award of Certificate:Statement of Attainment and MAGES Certificate of Completion
Grants Available:SFC, TG
Course Code :TGS-2022011073 (CLASSROOM & ASYNCHRONOUS E-LEARNING)
Full Course Fees : SGD 2,568
PR/Singaporean below 40Yrs/Non-SME Company Sponsored Singaporean & PR : SGD 1,368
Singaporean above 40Yrs/ 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.
Don’t worry, your information will not be shared and we will not spam your inbox
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.