Data Analysis Boot Camp Training in Hong Kong

  • Learn via: Classroom / Virtual Classroom / Online
  • Duration: 2 Days
  • Price: Please contact for booking options
We can host this training at your preferred location. Contact us!

In this fast-paced classroom experience, you will learn how to use your data to deal with critical factors: risk, performance, quality, forecasting, estimating, simulation, business process improvement, and much more. You will learn how to perform practical analytics, modeling, and interpretation the moment you return to work. Through a combination of demonstrations and hands-on exercises, you will get practice with the sort of skills and techniques which are typically the domain of expensive consultants.

You will quickly master powerful skills and the technologies to deploy them without reliance on proprietary technology. (We teach data skills you can deploy using Excel, R, or Python). Working through these scenarios, you will learn the value of analytics in supporting decision-making processes and the management and controls of business processes. In addition to providing real-world data analysis skills and concepts, you will apply the knowledge you acquire in a number of real business scenarios to learn practical applications.

There are no prerequisites for this course.

  • Business analyst, business systems analyst, CBAP, CCBA
  • Systems, operations research, marketing, and other analysts
  • Project manager, program manager, team leader, PMP, CAPM
  • Data modelers and administrators, DBAs
  • IT manager, director, VP
  • Finance manager, director, VP
  • Operations supervisor, manager, director, VP
  • Risk managers, operations risk professionals
  • Process improvement, audit, internal consultants and staff
  • Executives exploring cost reduction and process improvement options
  • Job seekers and those who want to show dedication to process improvement
  • Senior staff who make or recommend decisions to executives

  • Identify opportunities, manage change, and develop deep visibility into your organization
  • Terminology and jargon of analytics, business intelligence, and statistics
  • Applications for applying data analysis capability
  • Visualize both data and the results of your analysis for straightforward graphical presentation to stakeholders
  • Estimate more accurately while accounting for variance, error, and confidence intervals
  • Create plots and charts to reveal hidden trends and patterns in your data
  • Differentiate between "signal" and "noise" in your data to smooth what's extraneous and reveal what's important
  • Different distribution models and how each applies in the real world
  • Practical statistics and how they relate to risk, probability, results, and action
  • Develop a robust, practical understanding of probability theory - and how to leverage it
  • Form and test hypotheses - use multiple methods to define and interpret useful predictions
  • Learn about statistical inference and drawing conclusions about the population
  • Leave class with a substantial yet practical toolbox of modeling skills
  • Use computation to mine data, run simulations, find clusters and discover important attributes
  • Apply your data to practical uses: Reporting, Dashboards, Metrics, Quality, Financial Modeling and more
  • Get hands-on with predictive analytics - leave class with the vocabulary and algorithms you need
  • Forecast future results, find opportunities for process improvement, and analyze past performance
  • Introduction to the INFORMS CAP (Certified Analytics Professional) certification
  • Investigate a number of real-world examples that bring to life the new tools you've learned
  • Over three days, get access to a real-world data expert who relates skills and methods to your own scenario


Contact us for more detail about our trainings and for all other enquiries!

Upcoming Trainings

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.

Classroom / Virtual Classroom
06 July 2024
Hong Kong, Kowloon, Tsuen Wan
2 Days
Classroom / Virtual Classroom
10 July 2024
Hong Kong, Kowloon, Tsuen Wan
2 Days
Classroom / Virtual Classroom
12 July 2024
Hong Kong, Kowloon, Tsuen Wan
2 Days
Classroom / Virtual Classroom
24 July 2024
Hong Kong, Kowloon, Tsuen Wan
2 Days
Classroom / Virtual Classroom
13 August 2024
Hong Kong, Kowloon, Tsuen Wan
2 Days
Classroom / Virtual Classroom
04 September 2024
Hong Kong, Kowloon, Tsuen Wan
2 Days
Classroom / Virtual Classroom
12 September 2024
Hong Kong, Kowloon, Tsuen Wan
2 Days
Classroom / Virtual Classroom
25 September 2024
Hong Kong, Kowloon, Tsuen Wan
2 Days
Data Analysis Boot Camp 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.
By using this website you agree to let us use cookies. For further information about our use of cookies, check out our Cookie Policy.