Programme Highlights
- A customised workshop for non-technical executives and managers to acquire the basic knowledge in STEM and how technology revolutionize your business
- Learn how Python programming can improve your business (e.g. customer trends prediction, process automation, etc.)
Learning Outcomes
By taking this course, you will be able to
- Understand how technology revolutionize our workplace
- Understand the emerging technologies in business
- Learn Python programming examples for business e.g. document and workflow automation
- Learn how Python works in predictive analytics for business
Course Fee – RTTP Approved
HK$4,800/ HK$4,320*
*Group discount for 2 or more, Membership discount: 10% discount off the original listed price
For RTTP applicants: HK$1,600# (Original price: HK$4,800)
#Maximum saving, with the final grant subjects to approval.
This course is an approved Reindustrialisation and Technology Training Programme (RTTP) with up to 2/3 course fee reimbursement upon successful applications. For details: https://rttp.vtc.edu.hk.
Date
4 – 5 October 2021 (Mon & Tue)
Time
09:30 – 17:00
Duration
Total 12 lecture hours
Medium
Cantonese
(supplemented by English and with English handouts)
Award of Certificate
A Certificate of Attendance will be awarded to participants who have attended 75% or above of the course.
Course Structure
| Part I – STEM & Business |
| 1.1 Introducing STEM in Business |
| A. What is STEM B. Deploying STEM in Business |
| 1.2 Emerging Technologies |
| A. Data Science B. Artificial Intelligence C. Big Data D. Blockchain E. Embedded Device & IoT F. Robotic Process Automation |
| 1.3 Applications of STEM in Business |
| A. Applications of Business Analytics in Trends Prediction B. Applications of Customer Analytics in Revenue Growth C. Applications of Document Classification D. Applications of Unstructured Data Searching E. Applications of Business Workflow Processing F. Applications of Process Automation G. Applications of Enhancing Operation Efficiency |
| Part II – Python for Business Executive |
| 2.1 Introduction to Python Programming |
| A. Introduction B. Installation and Configuration C. Use of Python Notebook |
| 2.2 Numpy Basics |
| 2.3 Pandas Basics |
| A. Introduction to Pandas Data Structures B. Series, DataFrame, Index Objects C. Reindexing D. Dropping Entries from Axis E. Arithmetic and Data Alignment F. Sorting and Ranking G. Summarizing Statistics H. Correlation and Covariance I. Handling Missing Data J. Filtering Out Missing Data K. Filling in Missing Data |
| 2.4 Data Loading, Storage and File Formats |
| A. Reading & Writing Data in Text Format B. Json and XML C. Binary Data Formats Handling |
| 2.5 Data Preparation: Clean, Transform, Merge, Reshape |
| A. Combining and Merging Data Sets B. Reshaping C. Data Transformation |
| 2.6 Plotting and Visualisation |
| A. Introduction to Matplotlib B. Line Plots, Bar Plots C. Histograms, Scatter Plots D. Maps |
| 2.7 Data Aggregation and Group Operations |
| A. GroupBy Mechanism B. Data Aggregation C. Group-wise Operations |
| 2.8 Time Series in Business |
| A. Basics in Time Series Processing |
| Part III – Applying Predictive Analytics in Business |
| 3.1 Simple Prediction Analytic in Regression |
| A. Introduction to Data Science Process B. Concept in Regression C. Python Examples in Running Standalone Regression |
| Part IV – AI Example for Business |
| 4.1 Introduction to AI Python |
| A. Short AI Example in Python |
| Part V: Case Studies |
| A. Example 1: Customer Trends Prediction by STEM B. Example 2: Process Automation by STEM C. Example 3: Image Recognition Application in Business D. Example 4: Document AI in Business |
Trainer
Alan LEE has held senior management role in technology group, overseeing the corporate strategy, product development and production management for more than 14 years. With strong IT background, he possesses practical project experience on sophisticated analytics and large-scale global technology project management.
He also has rich training experience in the design and delivery of digital transformation training including AI, Big Data, Blockchain, etc.