1. programming skills: learn one or more programming languages, such as Python, Java, C++, JavaScript, etc. It will be helpful to engage in software development, data science and other related work in large factories.

2. Data analysis and mining: learn data analysis tools (such as Excel, SQL, Python, etc. ) and basic knowledge of statistics, and master the skills of data cleaning, preprocessing, analysis and visualization.

3. Artificial intelligence and machine learning: Understand basic machine learning algorithms (such as decision trees, support vector machines, neural networks, etc.). ) and deep learning frameworks (such as TensorFlow, PyTorch, etc. ), cultivate the ability to solve practical problems.

4. Project management: learn the basic theories and methods of project management such as agile development and waterfall model, and improve teamwork and project management ability.

5. Professional software skills: according to the target industry and post, learn relevant professional software, such as Adobe series software (Photoshop, Illustrator, etc. ), 3D modeling software (Blender, 3ds Max, etc. ), video editing software (Premiere, Final Cut Pro, etc. ), etc.

6. Soft skills: Improving soft skills such as communication, teamwork, innovative thinking, problem solving, and adaptation to change will help you better integrate into the team at work and cope with various challenges.

7. Internship experience: Look for internship opportunities related to big factories, understand the corporate culture, working atmosphere and responsibilities in advance, and add color to your resume.

8. Establish a personal brand: show your professional skills and achievements by writing blogs, participating in technical communities and open source projects, and improve your visibility in the industry.

In short, through the study and practice during the summer vacation, college students can increase their competitiveness and lay the foundation for finding an ideal job in a big factory.