Fresh graduates in architecture want to learn data analysis with zero foundation. What are the career development prospects? Can you learn it?
Of course, it can be learned, but if you want to have a development prospect, you need not only be able to analyze data, but also need practical ability, be able to analyze in combination with different businesses, master various common analysis methods, and so on. As a fresh graduate, it is easier to understand and get used to learning than students who have worked for several years, mainly because of their advantages in learning ability, understanding ability, and energy.
As a student with zero foundation in architecture, as long as he goes through systematic and professional course teaching and does project combat with professional technical teachers, he can basically master the basic skills of data analysis in about 3 months and meet the requirements of the position. Therefore, if you want to learn data analysis and employment with zero foundation, choosing to enroll in a class is the best way to learn, but you need to find a more reliable institution.
1. Development prospect of data analysis
The major of data analysis is an emerging profession due to the emergence of big data in recent years. It is divided into big data analysis and data analyst. The difference is that big data analysts have higher requirements, not only the basic ability of data analysis, but also the With programming ability, machine learning skills, and the processing of massive data, generally large e-commerce websites Taobao, JD.com or websites like 12306 that need to process massive data require big data analysts.
However, general medium and large enterprises or e-commerce data analysis positions do not have such high requirements. For example, it is only required to use Python to process data, understand Excel tables, SQL, understand Power BI and other analysis tools, and understand statistics related knowledge, etc.
Then, in the context of the big data era, data analysis, as an important tool for data processing, is a technical position that is urgently needed by many companies. According to relevant statistics in the white paper on the development of China's big data industry, by 2023, the scale of my country's big data industry will exceed 1 trillion yuan. At present, there are only about 500,000 domestic data analyst practitioners, and the data predicts that in the next 3 to 5 years, the talent gap will reach 1.5 million.
The government strongly supports the development of the big data industry. In the 14th Five-Year Plan, the development of the digital economy will accelerate the construction of a digital China and promote the digital and intelligent transformation of society. The implementation of these policies urgently requires the participation of digital talents. In the past three years of the epidemic, the call of the digital age has become stronger, and data analysis, as an important part of digitalization, has a bright future.
2. Job recruitment requirements for data analysis
Data analysts are professionals who specialize in the collection, organization, and analysis of industry data, and can make business reports, provide decision-making, manage data assets, evaluate and forecast based on the data. It has an increasing impact on the development and income of current enterprises, and it also provides important strength for enterprises to escape from the hardships caused by the epidemic.
Since domestic data analysis started relatively late and the talent saturation in the industry is not high, this is undoubtedly an excellent opportunity to enter the data analysis industry. Although the skills required for data analysis are not many, the employment salary of the position is not low. Generally, you can get a salary level of 7 or 8K directly after finishing your studies, and you can get a salary of tens of thousands if you learn well; Mostly medium and large enterprises, career promotion and benefits are better in all aspects; the work of data analysis is also directly connected to the leadership decision-making layer, which affects the company's business development direction and leadership decisions, so the position is highly valued, and relatively Compared with other positions of the same level, the salary will be 20% to 30% higher.
Data analysis has a wide range of employment, not only for Internet companies, but also for finance, logistics, transportation, media, retail, communications, and government departments. Basically covering all industries, you can choose the field of your interest to work. All industries and positions are exposed to a large amount of data, so workers who have mastered data analysis capabilities are more competitive than those who have not.
3. Career development direction of data analysis
After the data analysis major enters the industry, the general career development process experienced: data analysis specialist - data analyst - senior data analyst - data analysis expert
The abilities of junior data analysts include answering business questions raised by leaders with correct data, and ensuring a reasonable data structure and relevance to the business.
Generally, after two or three years in the industry, the ability to reach the level of senior data analysts requires the ability to independently complete high-quality data analysis reports, such as product planning, market activities, etc., and complete the entire process from early planning to mid-term detail improvement to post-evaluation analysis. process.
It usually takes about three to five years to become an expert , and it depends on individual efforts to become an independent analyst . Data analysis experts have leadership skills, can lead the team to solve problems in an all-round way, and control the work quality of their data analysts. In terms of technology, he can control the entire process of data analysis, has good means for data collection, burying, modeling, and cleaning into the data warehouse, and can use data to answer any questions that data can answer.
Data analysis is a position with great potential. It has requirements for practitioners' personal abilities, skills, and perspectives and heights. It can cultivate macroscopic and comprehensive thinking, and it is easier to have a big-picture view. And companies are more willing to promote such talents to management positions.
4. Are you suitable for learning data analysis with zero foundation?
Although data analysis seems to be simpler and easier to learn than other IT technologies. But not everyone is suitable for data analysis. To learn data analysis, you need to meet some basic entry requirements. The most important thing is that you are optimistic about this industry and interested in it.
1. You like working with data very much. If you like this profession and want to study hard, you can learn data analysis no matter whether you have the foundation or not. Because this major is very easy for most people to get started, and it is also suitable for zero-based learning.
2. Secondly, it is necessary to pay attention to the academic qualifications. Because of the particularity of the position itself, it is also the leadership that is connected, so the academic qualifications are generally at least a junior college.
3. There are basically no restrictions on majors. Non-computer majors and statistics-related majors can switch to study. Generally, there are more fresh graduates who choose this field, and it is easy to learn quickly and well. Therefore, architecture majors can learn data analysis, and whether you can learn it depends on your willingness and hard work.
Novice job seekers don't have to worry about work experience requirements. Basically, there are no restrictions. As long as you have basic professional skills, you can interview for employment. If you enter the industry through training and learning, you can accumulate practical work project experience during the learning process, which is also your competitive advantage during interviews.
Finally, on the question of whether you can learn it . This still depends on whether you are willing to learn and whether you study hard. If you are self-study, you must be strict with yourself. Make a study plan every day, complete it on time and according to the amount, and find enough real projects for practical exercises. , Accumulate technical practical ability.
If you choose to enroll in the class, basically you follow the teacher's rhythm, and there is no problem in mastering professional skills, such as completing the homework that should be completed, project exercises, and asking the teacher for guidance as soon as you have any questions, or discussing with your classmates, learning goals Be firm and not half-hearted and so on. But if you are lazy, don’t want to learn halfway through learning, or give up when encountering a little difficulty, it is recommended that you reconsider whether to choose this career.
If you still want to know more about data analysis and career change, you can take a private class~~~