課程編號: CPD0115/2026
類別
GPM: General and Professional Matters
H&S: Health and Safety including Occupational Safety and Health
OTM: Environment, Information Technology, Quality and Other Technical Matters not directly related to a Trainee's own discipline
課程名稱
Applied Data Science with Python
類別
GPM
日期
1 - 31 January 2026
時間
Total 45+ hours (5+ hours Self-paced Learning video; 40 hours Live Virtual Classes)
主辦單位
PTI Professional Development Limited
地點
Online
費用
Free Trial Course (4 days)
簡介

This course provides comprehensive understanding of data science essentials, including data preparation, model building, & evaluation. Participants will learn concepts like strings, Lambda functions, and lists.

 

Learners will also explore topics like NumPy, linear algebra, & statistical concepts, including measures of central tendency and dispersion, skewness, covariance, and correlation.

 

This Course also covers hypothesis testing, such as Z-test, T-test, and ANOVA, and data manipulation using pandas. Participants will develop data visualization skills using popular libraries like Matplotlib, Seaborn, Plotly, and Bokeh.

目標
  • Explain fundamentals of data science & practical applications.
  • Explore processes of data preparation, model building, and evaluation.
  • Apply Python concepts like strings and comprehensively understand Lambda functions and lists.
  • Develop solid understanding of fundamentals of NumPy.
  • Explore array indexing and slicing techniques.
  • Apply principles of linear algebra in data analysis.
  • Understand the application of calculus in linear algebra.
  • Calculate measures of central tendency and dispersion
  • Gain clear understanding of statistical concepts Describe null hypothesis and alternative hypothesis.
  • Examine different hypothesis tests, including Z-test and T-test.
  • Understand concept of ANOVA.
  • Work with pandas’ two primary data structures: Series and DataFrame. Utilize pandas for tasks such as data loading, indexing, reindexing, and data merging.
  • Prepare, format, normalize, and standardize data using data binning techniques.
  • Create visualizations with Matplotlib, Seaborn, Plotly, and Bokeh.
內容
  • Introduction to Data Science
  • Essentials of Python Programming
  • NumPy
  • Linear Algebra
  • Statistics Fundamentals
  • Probability Distributions
  • Advanced Statistics
  • Working with pandas
  • Data Analysis
  • Data Wrangling
  • Data Visualization End-to-End Statistics Applications in Python
語言

English

備註
  1. Complimentary coupon of HKD200 - Can be deducted from fees for next enrolment for courses with NET fees (after discount) of HKD3,000 or above (one year validity from date of purchase)
  2. One year access to Learning Management System (LMS) from date of activation of LMS.
  3. Recordings of registered LVCs available post-class, during access period to LMS
  4. Different batches of Live Virtual Classes (LVCs) available, learners can choose the batch convenient to them.  
  1. Subject to T & Cs , as updated from time to time
本網站採用Cookies工具來改善使用者體驗及確保網站有效運行。閱讀更多 Cookie 相關資訊