"“数据科学与大数据技术”专业实践教学体系构建研究：以贵州师范大学为例"

The research paper titled "Research on the Construction of Practical Teaching System for Data Science and Big Data Technology Major" addresses the challenges faced in the development of the "Data Science and Big Data Technology" major in local undergraduate institutions. The issues highlighted include curriculum design, textbook development, faculty training, and hardware equipment enhancement. In response to these challenges, the paper proposes a practical teaching system construction plan, using a combination of theoretical analysis and case studies, with Guizhou Normal University as a case study. The proposed practical teaching system includes various components such as course experiments, comprehensive experiments, semester internships, professional internships, enterprise internships, graduation projects, and extracurricular activities for skill enhancement. It emphasizes the importance of integrating practical experience into the curriculum to enhance students' comprehensive application abilities and elevate the level of education in the field of data science and big data technology. The paper stresses the need for each institution to tailor their practical teaching system to their specific educational context, striving to create a unique system that aligns with their strengths and goals. By doing so, colleges and universities can better equip students with the necessary skills and knowledge to succeed in the rapidly evolving field of data science and big data technology. In conclusion, the research paper provides valuable insights into the construction of a practical teaching system for the "Data Science and Big Data Technology" major, offering a roadmap for institutions to enhance their educational programs and better prepare students for the challenges of the data-driven future. It highlights the importance of practical experience and hands-on learning in cultivating well-rounded professionals in the field of data science and big data technology.