foreword
In today's era of rapid technological development, the application of computer technology has penetrated into all walks of life. Girls learning computers can not only master a practical skill, but also open up broad career development opportunities for them. The various occupations that girls may engage in after learning computers provide some inspiration and reference for those girls who are interested in computers.
1. Kindergarten teacher major
Kindergarten teachers are very suitable for girls who have graduated from junior high school. Generally, kindergartens do not have very high requirements for academic qualifications. Moreover, if you study this major after graduating from junior high school, you can also be regarded as a graduate of technical secondary school. Now many kindergartens will hire such teachers.
What kind of jobs can girls learn computers
2. Makeup aesthetics and film and television design
Makeup training is a very common industry. Many people engaged in this industry have already started learning when they graduated from junior high school, and some have not even graduated from junior high school. This industry is an industry that meets people's needs, and the employment prospects of this industry are relatively good.
Beauty aesthetics and film and television design
3. Computer major
WEB front-end design, software development, UI design, animation design, and recently popular data analysis and artificial intelligence, etc. Girls are delicate in mind, have endurance, and have advantages in learning computers. Now many large companies also like to find female programmers or software development.
smart city application technology
4. Smart city application technology
Urban rail transit is a very popular major at present. It is not only easy to get a job, but also very decent. With the development of national railway lines, some medium and small cities are also building high-speed rail subways. Railway professionals are relatively in short supply, so High-speed rail crew is a popular major in the future, and there is a relatively large demand for talents. Girls can work in passenger transport, crew, ticketing, etc. after studying.
At present, the recruitment demand for data analysis, artificial intelligence, and Python continues to rise, and the salary offered is very attractive. If you are also interested in it and want to actively participate in it, then learning Python is essential! ! !
1. Introduction to Python
The following content is the basic knowledge necessary for all application directions of Python. If you want to do crawlers, data analysis or artificial intelligence, you must learn them first. Anything tall is built on primitive foundations. With a solid foundation, the road ahead will be more stable.All materials are free at the end of the article！！！
Include:
Computer Basics
python basics
Python introductory video 600 episodes:
Watching the zero-based learning video is the fastest and most effective way to learn. Following the teacher's ideas in the video, it is still very easy to get started from the basics to the in-depth.
2. Python crawler
As a popular direction, reptiles are a good choice whether it is a part-time job or as an auxiliary skill to improve work efficiency.
Relevant content can be collected through crawler technology, analyzed and deleted to get the information we really need.
This information collection, analysis and integration work can be applied in a wide range of fields. Whether it is life services, travel, financial investment, product market demand of various manufacturing industries, etc., crawler technology can be used to obtain more accurate and effective information. use.
Python crawler video material
3. Data Analysis
According to the report "Digital Transformation of China's Economy: Talents and Employment" released by the School of Economics and Management of Tsinghua University, the gap in data analysis talents is expected to reach 2.3 million in 2025.
With such a big talent gap, data analysis is like a vast blue ocean! A starting salary of 10K is really commonplace.
4. Database and ETL data warehouse
Enterprises need to regularly transfer cold data from the business database and store it in a warehouse dedicated to storing historical data. Each department can provide unified data services based on its own business characteristics. This warehouse is a data warehouse.
The traditional data warehouse integration processing architecture is ETL, using the capabilities of the ETL platform, E = extract data from the source database, L = clean the data (data that does not conform to the rules), transform (different dimension and different granularity of the table according to business needs) calculation of different business rules), T = load the processed tables to the data warehouse incrementally, in full, and at different times.
5. Machine Learning
Machine learning is to learn part of the computer data, and then predict and judge other data.
At its core, machine learning is "using algorithms to parse data, learn from it, and then make decisions or predictions about new data." That is to say, a computer uses the obtained data to obtain a certain model, and then uses this model to make predictions. This process is somewhat similar to the human learning process. For example, people can predict new problems after obtaining certain experience.
Machine Learning Materials:
6. Advanced Python
From basic grammatical content, to a lot of in-depth advanced knowledge points, to understand programming language design, after learning here, you basically understand all the knowledge points from python entry to advanced.
At this point, you can basically meet the employment requirements of the company. If you still don’t know where to find interview materials and resume templates, I have also compiled a copy for you. It can really be said to be a systematic learning route for nanny and .
But learning programming is not achieved overnight, but requires long-term persistence and training. In organizing this learning route, I hope to make progress together with everyone, and I can review some technical points myself. Whether you are a novice in programming or an experienced programmer who needs to be advanced, I believe that everyone can gain something from it.
It can be achieved overnight, but requires long-term persistence and training. In organizing this learning route, I hope to make progress together with everyone, and I can review some technical points myself. Whether you are a novice in programming or an experienced programmer who needs to be advanced, I believe that everyone can gain something from it.
Data collection
This full version of the full set of Python learning materials has been uploaded to the official CSDN. If you need it, you can click the CSDN official certification WeChat card below to get it for free ↓↓↓ [Guaranteed 100% free]
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Understand the prospect of python: https://blog.csdn.net/SpringJavaMyBatis/article/details/127194835
Learn about python's part-time sideline: https://blog.csdn.net/SpringJavaMyBatis/article/details/127196603