This is an introductory course designed for business or accountancy or Finance undergraduate students who are interested to learn how to manage data, conduct business analytics programmatically, create AI model to automate business processes and create predictive model to increase profitability or return. It is oriented to enhance their technical skillset. The aim of this course is to provide a broad understanding on how to manage data, the process of preparing data for analysis, basics of analytics, using AI to automate financial analysis process and generate accounting reports. This course will equip you with the ability to write customized solutions to make informed business decisions, integrate statistical libraries for data analysis, create AI models to automate accounting and financial process. This module will provide you with individual hands-on practices to hone your coding skills and opportunities to develop coding solutions in a team. We utilize R and Python language as the medium of learning because it is one of the most in-demand coding language and its user-friendly syntax is well suited for the beginner level. You will utilise modern development tools to turn information into insights including Keras' Deep Learning model, Google Brain TensorFlow, Hadoop, Spark and Cloud.
Academic Units | 3 |
Exam Schedule | Not Applicable |
Grade Type | Letter Graded |
Department Maintaining | BUS |
Prerequisites | |
Mutually Exclusive | |
Not Available to All Programme | (Admyr 2011-2020) |
Index | Type | Group | Day | Time | Venue | Remark |
---|
0930
1030
1130
1230
1330
1430
1530
1630
1730
BC3415
00625
SEM | S4-SR5
Teaching Wk1,2,4-13
BC3415
00626
SEM | S4-SR4
Teaching Wk1,2,4-13
BC3415
00625
SEM | ONLINE
Teaching Wk3
BC3415
00627
SEM | ONLINE
Teaching Wk3
BC3415
00627
SEM | S4-SR1
BC3415
00628
SEM | ABS-SR7
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