Hong Kong Baptist University

FOUNDATIONS IN BIG DATA ANALYTICS: PROGRAMMING (MODULE FROM MASTER OF SCIENCE IN DATA ANALYTICS AND BUSINESS ECONOMICS)

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Course Information

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Course Overview

Assessment Methods / 評核方式
(A) Assessment Items and Their Weightings: (1) Class Participation/ Discussion: 20% (2) Assignment(s): 80% (B) Completion Requirements and CEF Reimbursement Requirements: (1) An overall passing mark: 50% (2) Attendance requirement: 70%

Entry Requirement / 入學要求
(1) A Bachelor degree from a recognised university, or equivalent, with satisfactory academic performance. The applicant is expected to possess an undergraduate degree either in business or in non-business fields with good quantitative training. (2) Proof of English proficiency is required for applicants whose first degree were obtained from non-English-medium institutions. This can be fulfilled by obtaining a minimum TOEFL iBT score of 79; or a minimum of 6.5 in IELTS; OR other equivalent qualifications.

Instructor's Qualifications / 導師資歷
(a) Education qualification(s): Master or Doctorate Degree Holders or; (b) Professional qualification(s): Experienced Professionals

QR Number / 資歷名冊登記號碼
19/001145/L6

QF Level / 資歷架構級別
6

CEF Registration Invalid From / 基金課程登記失效日期
27-MAY-26

What You’ll Learn

(I) Introduction of Ipython (3 hrs) (II) Introduction to Numpy (6 hrs) (III) Introduction to Pandas (6 hrs) (IV) Introduction to Matplotlib (6 hrs) (V) Machine Learning I (6 hrs) (VI) Machine Learning II (6 hrs) (VII) Machine Learning III (6 hrs)


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