Data Science remains to be the need of the hour and shows no signs of slowing down. Data Science platforms are deployed for sustainability in highly competitive industries enabling optimal use of analytics. As the world produces exponentially more data as time passes, so does the need to collect/gather, wrangle/arrange and analyse the data collected.
Learners will leave with the fundamentals of gathering and loading raw data from various sources and effectively manipulate them to meet business objectives, along with industry best-practices on handling different types of data, appropriate manipulation and coding. They will be exposed to hands-on real world problems using non-trial datasets. This course will equip the learner with the necessary skills and tools needed to tackle business data problems using a programmatic approach.
Duration:40Hrs Across 6 Weeks
Schedule:3Hrs Lesson Twice a Week
Award of Certificate:Statement of Attainment
Grants Available:SFC, TG, PSEA
Course Code :TGS-2022011217 (CLASSROOM & ASYNCHRONOUS E-LEARNING)
Full Course Fees :
PR/Singaporean below 40Yrs/Non-SME Company Sponsored Singaporean & PR :
Singaporean above 40Yrs/ SME Company Sponsored Singaporeans & PR :
(All fees include 7% GST)
Self-sponsored students can use Skills Future Credit and Training Grant by SSG, and PSEA. 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.