Description of my Data Science Studies

This is a description of my studies experience in data science.
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Statement:

In the section on my academic background, I have provided detailes of my academic experiences. During my studies in these fields, I deeply recognized the significance of quantitative analysis, which permeates research and practice across various field of studies. Therefore, driven by the need for further learning and in anticipation of future academic pursuits, I am convinced that mastering advanced quantitative skills will provide a solid foundation for my academic development.

Based on this understanding, I enrolled in a summer course at the University of Hong Kong in the summer of 2023, marking the beginning of my journey into data science. During the course, I learned some bastic theories of data sciences, such as neural networks, nonlinear programming, and genetic algorithms, which opened the door to the field of data science and gave me an initial understanding of it.

After that, I chose to further my studies through an online course offered by Harvard University on the edX. At the same time, to help me be more proficient in practical usage, I participated in several mathematical modeling competitions and completed a paper on financial mathematical modeling.

So, the studies and practical using in mathematical competitions help me have a good command of analysis tools such as Python, MATLAB, and R, and use these tools for data analysis, machine learning, and other tasks. This not only supports my academic research but also lays a solid foundation for my career development.

I firmly believe that the study of data science will help me to solve complex problems, open up broader career paths for my future, and enable me to achieve higher goals in both academic and professional realms.

The following are the details and materials

It contains three parts:

• Summer program in the University of Hong Kong
• Harvard edx courses——Professional Certificate inData Science
• Participating in Mathematical Modeling Competition
• Paper workings in data science
  
  

Data science course in The University of Hong Kong

Program name is Data Science for Beginners: Theory, Algorithms and Applications

• This is the start of my studies in data science
• Relevant courses: Neural Network; Nonlinear Programming; Genetic Algorithm

Harvards edx courses

Professional Certificate inData Science

• This is the start of my studies in data science
• Relevant courses:
  • Data Science: R Basics
  • Data Science: Visualization
  • Data Science: Probability
  • Data Science: Inference and Modeling
  • Data Science: Productivity Tools
  • Data Science: Wrangling
  • Data Science: Linear Regression
  • Data Science: Machine Learning

Mathematical Modeling

The following are the prizes I earned in the competitions

• Asia-Pacific Mathematical Modeling Competition (contest in Chinese), International Second Prize
• Asia-Pacific Mathematical Modeling Competition (contest in English), International Third Prize
• China Undergraduate Mathematical Contest in Modelling（CUMCM）, Second Prize

Paper working in data science

Three-Dimensional UAV Path Planning in Urban Environments Based on an Improved Parrot Optimization Algorithm

• This is a trial in algorithm studies after my series studies in data science, which is under the revising and excepted to be published as a SCI paper in this year.
• Click here to see the details.

Design of a Securities Market Investment Risk Control Model Based on Market Factors

• This is my paper for the mathematical modeling competition, which is related to financial modeling.
• Click here to see the details.

Global Pet Industry Insights: ARIMA-Based Forecasting of Pet Food Demand and Strategic Implications

• This is my paper for the mathematical modeling competition——Asia-Pacific Mathematical Modeling Competition (contest in English).
• Click here to see the details.