The Hong Kong University of Science and Technology

Durartion of the Course

12 Hours

Course Fee


Mode of Learning

Self-Paced with Assessments

What is The Course All About?


  • Beginner-friendly introduction to Python for finance: Suitable for learners with basic Python and statistics knowledge.
  • Practical focus on financial analysis: Teaches how to use Python for analyzing stock market data and performing financial calculations.
  • Clear explanations and examples: The instructor provides easy-to-understand explanations and relevant financial examples.
  • Affordable: The course is affordable, especially if audited for free.


  • Limited depth in some areas: Could benefit from more in-depth coverage of advanced statistical methods and financial modeling techniques.
  • No live interaction or personalized feedback: Lacks opportunities for real-time engagement with the instructor or personalized feedback.
  • Limited career guidance: Does not offer career support or job placement assistance.
Primary Focus: Skill Acquisition & Knowledge Acquisition

Curriculum & Skills:

  • Python: Basic syntax, data types, functions, libraries (pandas, NumPy)
  • Statistics: Probability, distributions, hypothesis testing, linear regression
  • Financial Analysis: Analyzing financial data using Python, basic financial modeling

Who is the Course Meant For?

  • Individuals with a basic understanding of Python and statistics who want to apply these skills to financial analysis.
  • Finance professionals looking to enhance their quantitative analysis skills using Python.
  • Students and professionals interested in financial modeling and data-driven decision-making.

Accreditations and Rankings

The Hong Kong University of Science and Technology
Intermediate (for those with basic knowledge)

Skills: What does this program cover?

  • Depth and Breadth of Topics Strong
  • Case Studies Strong
  • Tools Strong
  • Capstone Projects/Real World Application Moderate
Skills: 23 /30

Faculties: Who are the experts behind the course?

  • Academic/Industry Exp. Strong
  • Teaching Experience Strong
  • Industry Recognition Moderate
Faculties: 17 /20

Delivery Methods: How Is the program delivered?

  • Live Interaction Very Limited
  • Self-Paced Strong
  • Assessment Strong
  • Community Moderate
  • Collaborative Very Limited
Delivery Methods: 17 /30

Career Assistance: How does the program support career growth?

  • Mentoring Very Limited
  • Personalized Assistance Very Limited
  • Alumni Network Limited
  • Industry Partnerships Not Applicable
Career Assistance: 4 /15

Student Satisfaction and Feedback: What Do Students Say About the Course?

  • Feedback & Improvement Strong
Alumini Feedback: 4 /5

Benchmark Labels:

Strong (75-100%): This indicates the course demonstrates exceptional strengths in this area, exceeding expectations.
Moderate (50-74%): This signifies the course performs adequately in this area, covering essential aspects.
Limited (25-49%): This highlights areas where the course could significantly improve to provide a more comprehensive learning experience.
Very Limited (1-24%): This indicates the course offers minimal coverage or resources in this area.
Not Applicable: This indicates that this criteria is not available for this course.

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Alumni Feedback Form

Skills: What does this program cover?

Faculties: Who are the experts behind the course?

Delivery Methods: How is the program delivered?

Career Assistance: How does the program support career growth?

Acquired new skills in my area of expertise
Gained practical hands-on experience through assignments
Built a professional network by connecting with instructors and fellow learners
Expanded career opportunities and job prospects
Opened doors to new industries or job roles
Secured a new job through the course
Prepared for professional certifications or examinations
Stayed updated with industry trends and advancements
Accessed resources and materials for future reference
Received a promotion
Received a pay raise
Other (please specify)