Certificate For Module In Big Data Using Cloud Computing For Marketing Management - The School Of Continuing And Professional Education, City University Of Hong Kong
課程名稱: |
Certificate For Module In Big Data Using Cloud Computing For Marketing Management - The School Of Continuing And Professional Education, City University Of Hong Kong |
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院校名稱: |
香港城市大學專業進修學院 |
課程編號: |
33C128462 |
範疇: |
商業及管理 |
上課模式: |
36 hours, PT |
為期: |
10 – 12 weeks |
學費: |
8,500.00 |
入學要求: |
To Be Eligible For Admission To The Programme, An Applicant Must: (I) Have Obtained Level 2 Or Above In Five Subjects In Hkdse Examination, Including Chinese Language And English Language (A Maximum Of Two Applied Learning (Apl) Subjects Can Be Counted) Or Equivalent; Preferable With Knowledge In High-School Statistics Such As Average Calculation And Standard Deviation, Plus At Least One Year Of Related Work Experience; Or (Ii) Have Passed Five Subjects In Hkcee, Including Chinese And English At Level 2 / Grade E Or Equivalent; Preferable With Knowledge In High-School Statistics Such As Average Calculation And Standard Deviation, Plus At Least Two Years Of Related Work Experience; Or (Iii) Be A Mature Student Of At Least 21 Years Of Age, Plus Having At Least Three Years Of Relevant Work Experience, Preferable With Knowledge In High-School Statistics Such As Average Calculation And Standard Deviation. |
課程大綱: |
(1) Course Overview (1 Hour) (2) Introduction To Data Science And Big Data, Business Need For Big Data (1 Hour) (3) Introduction To Tools For Data Science, What Is Cloud Computing Platform, Paas Saas Iaas Caas (1 Hour) (4) Distributed File System, Structured Data Vs Unstructured Data (1 Hour) (5) What Are Open Source Solutions, Big Data Architecture: Linux , Hadoop (1 Hour) (6) R Programming Language, How R Different From Other Languages, Data Structure : Dataframe Matrix, Third Party Package Repository Cran (1 Hour) (7) Revisit Correlation And Probability, R Example : Any Relationship Between Two Properties (1 Hour) (8) R Installation And Cloud Platform, Import Data, Export Data, Plot Graph (1 Hour) (9) Retrieve Data Over Internet (1 Hour) (10) Data Manipulation: Filter (1 Hour) (11) Data Manipulation: Reordering And Data Conversion (1 Hour) (12) Shiny (1 Hour) (13) Data Science Technique, Cluster Algorithm (1 Hour) (14) Case: Grouping Customers Using Clustering (1 Hour) (15) Classification Algorithm (1 Hour) (16) R : K-Means Cluster (1 Hour) (17) Visualization Using R (1 Hour) (18) Visualization Using Shiny (1 Hour) (19) Data Science Technique 2, Case: Looking For Higher Successful Leads In Crm (1 Hour) (20) Time Series Data Pattern Recognition Algorithm (1 Hour) (21) Time Series Prediction (1 Hour) (22) Bayesian Tree Using R (1 Hour) (23) Prediction Model (1 Hour) (24) Time Series Prediction Using R (1 Hour) (25) Artificial Intelligence, Neural Network (Nn) (1 Hour) (26) Supervised Learning, Unsupervised Learning (1 Hour) (27) Introduction To Python, Python Package (1 Hour) (28) Google Tensorflow (1 Hour) (29) Face Recognition And Deep Network (1 Hour) (30) Python Vs R (1 Hour) (31) Neural Network Using R (1 Hour) (32) Neural Network Using Keras (1 Hour) (33) Prediction Model Using R (1 Hour) (34) Neural Network Practice Using R (1 Hour) (35) Customer Behaviour Prediction Using Nn, Simple Stock Market Prediction (1 Hour) (36) Course Summary (1 Hour) |
資歷名冊登記號碼: |
20/000098/L4 |
資歷架構級別: |
4 |