AY2026 Semester 1 data is now available →
AY2022/2023 Semester 1
This is an introductory course designed for business or accountancy undergraduate students who have no programming background and are interested to learn how to manage data and conduct business analytics programmatically. 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, and the means to communicate analytics outcome. This course will equip students with the ability to write customized solutions to inform business decision, integrate statistical libraries for data analysis, and construct visuals or reports for business understanding. This module will provide students with individual hands-on practices to hone their coding skills and opportunities to develop coding solutions in a team. We utilize 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. Students will utilise modern development tools to turn information into insights.
| AUs | 3.0 AUs |
| Categories | CoreGeneral EducationBDE |
| Not Available To Programme | ADM, AERO, ARED, ASEC, BCE, BCG, BEEC, BIE, BMS, BS, BSB, BSPY, CBE, CBEC, CE, CEE, CEEC, CHEM, CHIN, CS, CSC, CSEC, CVEC, DSAI, ECMA, ECON, ECPP, ECPS, EEE, EEEC, EESS, ELAH, ELH, ENE, ENEC, ENG, ESPP, HIST, IEEC, IEM, LMS, MACS, MAEC, MAEO, MAT, MATH, ME(DES), ME(NULL), ME(RMS), MEEC(DES), MEEC(NULL), MEEC(RMS), MS, MS-2ndMaj/Spec(MSB), MTEC, PHIL, PHY, PPGA, PSLM, PSMA, PSY, REP, SCED, SOC, SSM |
| Mutually Exclusive With | AB8401, BC0401 |
| Exam |
| Mon | Tue | Wed | Thu | Fri | |
|---|---|---|---|---|---|
| 930 | |||||
| 1000 | |||||
| 1030 | |||||
| 1100 | |||||
| 1130 | |||||
| 1200 | |||||
| 1230 | |||||
| 1300 | |||||
| 1330 | |||||
| 1400 | |||||
| 1430 | |||||
| 1500 | |||||
| 1530 | |||||
| 1600 | |||||
| 1630 | |||||
| 1700 | |||||
| 1730 | |||||
| 1800 |
| Mon | Tue | Wed | Thu | Fri | |||
|---|---|---|---|---|---|---|---|
| 830 | 00614 SEM (1) 0830-1020 Mon S4-SR18 | 00615 SEM (2) 0830-1020 Mon S4-SR17 | 00621 SEM (8) 0830-1020 Mon S4-SR3 | 00624 SEM (11) 0830-1020 Wed S3-SR7 | 00628 SEM (15) 0830-1020 Fri S4-SR3 | ||
| 900 | |||||||
| 930 | |||||||
| 1000 | |||||||
| 1030 | 00616 SEM (3) 1030-1220 Mon S4-SR18 | 00617 SEM (4) 1030-1220 Mon S4-SR17 | 00619 SEM (6) 1030-1220 Mon S4-SR3 | 00625 SEM (12) 1030-1220 Wed S3-SR7 | 00629 SEM (16) 1030-1220 Fri S4-SR3 | ||
| 1100 | |||||||
| 1130 | |||||||
| 1200 | |||||||
| 1230 | |||||||
| 1300 | |||||||
| 1330 | |||||||
| 1400 | |||||||
| 1430 | 00618 SEM (5) 1430-1620 Mon S4-SR14 | 00630 SEM (17) 1430-1620 Mon S3-SR10 | 00622 SEM (9) 1430-1620 Tue S4-SR11 | 00626 SEM (13) 1430-1620 Wed S4-SR15 | |||
| 1500 | |||||||
| 1530 | |||||||
| 1600 | |||||||
| 1630 | 00620 SEM (7) 1630-1820 Mon S4-SR14 | 00623 SEM (10) 1630-1820 Tue S4-SR11 | 00627 SEM (14) 1630-1820 Wed S4-SR15 | ||||
| 1700 | |||||||
| 1730 | |||||||
| 1800 | |||||||