Preface
In their early 20s, they have no direction in their work and are confused in life. This is a situation that many students will encounter. I often receive private messages from male fans asking me, what technique is best to learn?
Indeed, if boys do not have a solid skill, they will be under great pressure in life and work. Although all roads lead to Rome, the gap between industries is still huge. How to choose a high-paying job that suits you is crucial.
When choosing a job, you must choose a good prospect.
"The market is large and on the rise."
There is no doubt that in the current digital age environment, the dividends of Internet technology and industries are still being released, and the demand for technical talents in related industries is at a strong stage.
There are many types of Internet technologies. Among them, big data has slowly entered the public's field of vision and become familiar to more and more people. Some people say that in this era of information explosion, mastering big data is the same as mastering the world's important technologies.
From a national level, government departments are paying more and more attention to the development of big data technology. The State Council officially issued the "Action Outline to Promote the Development of Big Data", which shows that the country's emphasis on big data has gradually increased in recent years.
△ The picture comes from the Internet, such as intrusion and deletion
From the perspective of Internet companies, major Internet companies represented by Alibaba, Tencent, and Huawei are eager for big data talents.
Big data development engineer salary at major Internet companies:
△ The picture comes from the Internet, such as intrusion and deletion
When choosing a job, you should also choose a high-paying job.
"There is a huge talent gap and salary increases quickly."
According to statistics from the Data Analysis Department of the China Chamber of Commerce, the gap in basic data analysis talents in China will reach 10 million+ in the future. The shortage of talents has also made the employment salary of big data positions higher and higher.
At present, the monthly salary of big data engineers easily exceeds 10,000 yuan. Taking Beijing as an example, the average monthly salary of big data development engineers is 30.8K, of which the largest proportion, 66.7%, earns 30K-50K salary.
△ The picture comes from Zhiyouji, if it is invaded or deleted
Statistics show that in China's top Internet companies, the salary of big data engineers is more than 30% higher than that of other positions at the same level, while the annual salary of top big data technical talents easily exceeds one million.
Whether it is the iteration of big data technology itself or the strong demand for big data from major enterprises, they all express the same message to practitioners: there is a shortage of talents in the field of big data.
This has made entering the field of big data a major trend and an opportunity for better development in the future.
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 first learn them. Anything high-end is built on a primitive foundation. By laying a good foundation, the road ahead will be more stable.All information is available for free at the end of the article！！！
Include:
Computer Basics
python basics
Python introductory video episode 600:
Watch zero-based learning videos. Watching videos is the fastest and most effective way to learn. It is easy to get started by following the teacher's ideas in the video, from basic to in-depth.
2. Python crawler
As a popular direction, crawlers are a good choice whether you use them part-time or as an auxiliary skill to improve work efficiency.
Through crawler technology, relevant content can be collected, analyzed and selected to get the information we really need.
This information collection, analysis and integration work can be applied to a very wide range of areas. 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 information
3. Data analysis
The "Digital Transformation of China's Economy: Talent and Employment" report released by Tsinghua University School of Economics and Management shows that the data analysis talent gap is expected to reach 2.3 million in 2025.
With such a huge talent gap, data analysis is like a vast blue ocean! 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 integrated 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 comply with the rules) and transform the table (perform different dimensions and granularity on the table according to business needs) degree, different business rules calculation and statistics), T=load the processed table to the data warehouse in increments, full quantities, and different times.
5. Machine Learning
Machine learning is to learn from a part of the computer data, and then predict and judge other data.
The core of machine learning is "using algorithms to parse data, learn from it, and then make decisions or predictions about new data." That is to say, the computer uses the data obtained to derive a certain model, and then uses this model to make predictions. This process is somewhat similar to the human learning process. For example, after a person acquires certain experience, he or she can predict new problems.
Machine learning materials:
6. Advanced Python
From basic syntax content to many in-depth advanced knowledge points and understanding of programming language design, after studying here, you will basically understand all the knowledge points from entry to advanced python.
At this point, you can basically meet the company's employment requirements. If you still don't know where to find interview materials and resume templates, I have compiled one here for you. It can really be said to be a systematic learning route for nannies and caregivers. .
But learning programming does not happen overnight, but requires long-term persistence and training. In organizing this learning route, I hope to make progress together with everyone, and I can also review some technical points myself. Whether you are a newbie in programming or an experienced programmer who needs to advance, I believe everyone can gain something from it.
It doesn’t happen overnight, but requires long-term persistence and training. In organizing this learning route, I hope to make progress together with everyone, and I can also review some technical points myself. Whether you are a newbie in programming or an experienced programmer who needs to advance, I believe everyone can gain something from it.
Data collection
This complete version of Python learning materials has been uploaded to CSDN official. If you need it, you can click on the CSDN official certification WeChat card below to get it for free ↓↓↓ [Guaranteed 100% free]
Good article recommendation
Understand the prospects of python: https://blog.csdn.net/SpringJavaMyBatis/article/details/127194835
Learn about python’s part-time side job: https://blog.csdn.net/SpringJavaMyBatis/article/details/127196603