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Applied Data Analytics [Module From Bachelor Of Science (Honours) In Applied Sciences (Statistics And Data Science)] - School Of Professional Education And Executive Development, Polyu
課程名稱: |
Applied Data Analytics [Module From Bachelor Of Science (Honours) In Applied Sciences (Statistics And Data Science)] - School Of Professional Education And Executive Development, Polyu |
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院校名稱: |
香港理工大學專業進修學院 |
課程編號: |
42Z128007 |
範疇: |
理學科 |
上課模式: |
39 hours (FT) |
為期: |
13 weeks (7 weeks for Summer Term) |
學費: |
8,070.00 |
入學要求: |
(1) A Recognized Associate Degree Or A Higher Diploma Or Equivalent Qualification*. Applicants Should Also Have Prior Knowledge In Linear Algebra. [“Equivalent Qualifications” In Admission Requirement Include Qualifications That Are Accredited At Hkqf Level 4 But Not Titled As “Associate Degree” Or “Higher Diploma”, Such As “Advanced Diploma”, “Professional Diploma” Or “Professional Certificate” Programmes.] (2) Those Who Do Not Possess The Above-Mentioned Qualifications But Have Reached The Age Of 25 Before 1 September, In The Year In Which They Seek Admission, May Apply As Mature Applicants. Mature Applicants Should Possess Relevant Work Experience In Senior Positions And Have Completed Post-Secondary Studies In Related Fields. [The Mature Applicants Are Considered Case-By-Case And Some Essential Factors Would Be Considered, For Example, Number Of Subordinates Under His/Her Supervision And Number Of Years Of Supervisory /Managerial Experiences In Applied Sciences Industry.] They Will Also Be Required To Pass An Admission Test And Demonstrate To The Admission Interview Panel Their Ability To Complete The Programme. *The Main Medium Of Instruction Of The Study Programmes Concerned Should Be English. Applicants Who Have Completed Programmes With Other Languages As The Main Medium Of Instruction Are Required To Attain The Following English Language Requirement: (I) Ielts 6.0 Or (Ii) Toefl 550 (Paper Based); 80 (Internet Based) [The Above Language Requirements Are Applicable To The Mother Programme.] |
課程大綱: |
1. Introduction To Big Data (6 Contact Hours) 2. Big Data Architecture (6 Contact Hours) 3. Big Data Acquisition And Pre-Processing (6 Contact Hours) 4. Big Data Storage (7 Contact Hours) 5. Data Analytics Tools And Applications (7 Contact Hours) 6. Big Data Visualization (7 Contact Hours) Total: 39 Contact Hours |
資歷名冊登記號碼: |
15/002369/L5 |
資歷架構級別: |
5 |