Introduction to Predictive Analytics Training in Hong Kong

  • Learn via: Classroom / Virtual Classroom / Online
  • Duration: 3 Days
  • Price: Please contact for booking options

Machine learning requires strong statistical foundations. In this module, we solidify that groundwork by reviewing probability concepts such as important distributions, Bayes' Rule, and conditional expectation. We then move on to rigorous statistical analysis — parameter estimation, hypothesis testing, p-values, z-scores, and other core concepts in statistical inference. We extend this basis of statistical knowledge into machine learning basics such as regression, regularization, overfitting, and important learning metrics. Students put these concepts into practice on real-world datasets using Python’s stats-oriented libraries to ask interesting, relevant questions and draw concrete inferences from population data.

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We can host this training at your preferred location.

Prerequisites

Basic Python, basic statistics, and/or successful completion of the Introduction to Data Wrangling in Python course

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Who Should Attend

  • Beginning programmers who want an applied statistics introduction, including how to implement that theory into code
  • Analysts who have completed Data Wrangling in Python and want to take their skill-set to the next level
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What You Will Learn

  • The fundamentals of probability and statistical inference
  • How to utilize those fundamentals in Python to analyze large, real-world datasets
  • Machine-learning basics that derive from statistical principles
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Contact us for more detail about our trainings and for all other enquiries!

Avaible Training Dates

Join our public courses in our Hong Kong facilities. Private class trainings will be organized at the location of your preference, according to your schedule.

09 April 2025 (3 Days)
Hong Kong, Kowloon, Tsuen Wan
Classroom / Virtual Classroom
12 April 2025 (3 Days)
Hong Kong, Kowloon, Tsuen Wan
Classroom / Virtual Classroom
09 May 2025 (3 Days)
Hong Kong, Kowloon, Tsuen Wan
Classroom / Virtual Classroom
14 May 2025 (3 Days)
Hong Kong, Kowloon, Tsuen Wan
Classroom / Virtual Classroom
05 June 2025 (3 Days)
Hong Kong, Kowloon, Tsuen Wan
Classroom / Virtual Classroom
06 June 2025 (3 Days)
Hong Kong, Kowloon, Tsuen Wan
Classroom / Virtual Classroom
02 July 2025 (3 Days)
Hong Kong, Kowloon, Tsuen Wan
Classroom / Virtual Classroom
17 July 2025 (3 Days)
Hong Kong, Kowloon, Tsuen Wan
Classroom / Virtual Classroom
Introduction to Predictive Analytics Training Course in Hong Kong

Hong Kong is officially known as the Hong Kong Special Administrative Region of the People's Republic of China (HKSAR) and is a city and special administrative region of China on the eastern Pearl River Delta in South China. Hong Kong is one of the most densely populated places in the world, with over 7.5 million population. The official languages of the HKSAR are Chinese and English. Hong Kong is a highly developed territory and ranks fourth on the United Nations Human Development Index and the residents of Hong Kong have the highest life expectancies in the world.

The best time to visit Hong Kong is from September to December, since the temperatures, averaging between 19 to 28 degree Celsius. During this outdoor activities-friendly travelling season, you can take a walk along Victoria Harbour, visit the islands of Lantau, Lamma and Cheung Chau and participate in the Mid-Autumn Festival. Top choices of the tourists to visit in Hong Kong are Big Buddha statue, Wong Tai Sin Temple, Repulse Bay and the Beaches and Hong Kong Disneyland.

Explore our diverse range of IT courses, encompassing programming, software development, cyber security, data science, business skills, and Agile/Scrum. Wherever you are in Hong Kong, our seasoned instructors will bring practical training and expert knowledge to your preferred training venue.
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