Applied Data Science with Python

CPD0115/2026

Applied Data Science with Python

GPM

1 - 31 January 2026

Total 45+ hours (5+ hours Self-paced Learning video; 40 hours Live Virtual Classes)

PTI Professional Development Limited

Online

Free Trial Course (4 days)

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.

• 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.

• 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

English

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.
5. Subject to T & Cs, as updated from time to time

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