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(SCTP) Graduate Certificate in Data Analytics (Programming)

Name: (SCTP) Graduate Certificate in Data Analytics (Programming)
Price: 4050 SGD

Training Provider: SINGAPORE UNIVERSITY OF TECHNOLOGY AND DESIGN

Course Reference: TGS-2023039079

S$4,050

Original: S$13,500

Save S$9,450

About This Course

By the end of this course, learners will be able to:
(a) wrangle data and prepare the dataset ready for Machine Learning Model
(b) leverage on Python for Data Validation and Statistical Analysis
(c) apply basic Predictive Analytics, basic Machine Learning and basic Statistical Model based on a prescribed project

Completing the (SCTP) Graduate Certificate in Data Analytics (Programming) is a pathway to attaining the (SCTP) ModularMaster in Data Science (Programming) certificate.

What You'll Learn

Unlock the power of data with our comprehensive Graduate Certificate in Data Analytics (Programming). Designed for aspiring data professionals, this certificate programme focuses on the specifics of data manipulation and analysis, leveraging the Python programming language to make sense of complex datasets. Gain practical skills in data wrangling, preparation, validation, statistical analysis, and data science modelling, to equip you with the tools to extract valuable insights and make data-driven decisions. Whether you're a beginner or an experienced professional, this programme will propel your career in the rapidly expanding field of data analytics.

Entry Requirements

- Participants should preferably have passed mathematics at least ‘O’ Level or equivalent.

- Participants should be conversant with basic IT skills such as software installation, file management and web navigation.

- Participants are encouraged to complete the Foundation of Data Science before enrolling in this course.

- Participants are required to pass a pre-course assessment to ensure participants have the requisite knowledge of Python programming. This assessment can be waived if participants have completed both Fundamentals in Python (Basic) and Fundamentals in Python (Intermediate).