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.
| AUs | 4.0 AUs |
| Grade Type | |
| Prerequisite | BC2406 |
| Not Available To Programme | |
| Not Available To All Programme With | (Admyr 2021-onwards) |
| Not Available As BDE/UE To Programme | |
| Not Available As Core To Programme | |
| Not Available As PE To Programme | |
| Mutually Exclusive With | BC3415, BF3222, BF3223, SC4090 |
| Not Offered As BDE | Yes |
| Not Offered As Unrestricted Elective | |
| Exam |
Available Indexes
| Mon | Tue | Wed | Thu | Fri | |
|---|---|---|---|---|---|
| 1430 | 00620 SEM (1) 1430-1720 Mon S4-SR22 | 00621 SEM (2) 1430-1720 Tue S4-SR4 | 00622 SEM (3) 1430-1720 Wed S4-SR1 | ||
| 1500 | |||||
| 1530 | |||||
| 1600 | |||||
| 1630 | |||||
| 1700 |
Other offerings
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Analytics I: Visual & Predictive Techniques
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Analytics Ii: Advanced Predictive Techniques
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