It is difficult to get a job every year in the graduation season. This year, due to the impact of the global epidemic and the international situation, this year's graduates are even more difficult.
How do college students who will graduate next year get high-paying offers in the next spring recruitment?
"So many students from prestigious schools apply for jobs with me, why should the company choose me?"
"What skills should I master, and how can I maintain my core competitiveness in the era of rapid renewal and iteration of talents and skills?
I believe most people have not thought about these issues seriously.
Let's take a look first, what have you missed in 2020?
Individuals in the 1980s, stocks in the 1990s, futures in 1995, privatization in 1997, PC Internet financing in 1999, real estate speculation in 2001, SP agency fees in 2003, advertising alliances in 2005, and futures in 2006 Franchise, Taobao in 2007, SNS in 2008, Tmall in 2009, Baidu bidding in 10 years, website group in 11 years, Double Eleven in 12 years, Internet + financing in 13 years, WeChat business in 14 years , 15 years of P2P, 16 years of live broadcast and community, 18 years of short video...
Didn't catch up!
Back to the present, what is the current trend of the times?
Since 17 or 18, the most mentioned by people around you are artificial intelligence, big data, and machine learning. Graduates of these majors will be robbed by leading companies as soon as they come out, and their annual salary has repeatedly hit new highs.
According to Lei Jun's "follow the trend" statement, since the trend of the whole society is the direction of artificial intelligence, what you need to do is to learn quickly in the fields of data analysis and artificial intelligence, and put aside those who only stare at the front.
So how can you stand out and gain the favor of interviewers in this era?
Homogenization makes you lose your competitiveness. Only by mastering data analysis and artificial intelligence technology can you stand out.
Speaking of this, some students may start to murmur, why do you master data analysis and artificial intelligence technology to stand out? Are you afraid that you will not fool me to apply for your class?
Don't worry, classmates, please take a closer look at the next analysis to see if what I said is reasonable.
We divide people who master data analysis techniques into two categories.
1. Popular occupation target groups.
In recent years, data analysis has been called the sexiest skill. It is not only popular, but also brings high salaries to practitioners. The average monthly salary of data analysts with 1-2 years of work experience can reach 13k+, and the older the more valuable.
In the next five years, the total domestic demand for big data talents will exceed 20 million, and data analysis, big data, artificial intelligence and other fields have started a "savage growth" mode.
If your career goal is data analysis, then mastering data analysis techniques will definitely make you stand out.
2. Other professional empowerment groups.
In recent years, various scientific and technological applications based on big data have become a hot market. By applying big data to product marketing, customer experience improvement, risk control, etc., good results have been achieved. In all major fields, innovations based on big data mining and artificial intelligence emerge in an endless stream, becoming the source of power for the industry to create value. From product manager to data product manager, from marketing to digital marketing, from operations to growth hacking, from manual risk control to digital automatic approval, big data, data analysis, AI and other technologies have gradually changed the traditional business model and operation of enterprises Modes and operating procedures. In the process of informatization, digitalization, and digital intelligence, enterprises will derive a large number of new professions that need to deal with data.
At present, there are about 600 million people in China using office, excel and other tools, but most of them are to meet the needs of daily office, and the data analysis module of the tool is rarely used. In the future, with the continuous popularization of zero code and low code, data analysis technology In the new business era, data thinking and basic digitization capabilities have become common workplace skills that everyone needs.
Mastering data analysis technology is undoubtedly the best means for career empowerment.
So, how can we quickly master data analysis technology and stand out from the crowd?
My suggestion is: take the CDA data analyst certification exam. The reasons are as follows:
1. Self-control is often not enough, and there are too many learning resources for online data analysis, which makes most students feel unable to start. In addition, scattered data analysis and learning can easily lead to unstructured learning, and it is difficult to master the real technology of data analysis in a short time.
2. To apply for the CDA Data Analyst Certification Exam, it is the right choice to promote learning, take the master route, comprehensively and quickly understand data analysis knowledge, empower future career choices, and save a lot of precious time and energy.
CDA is a more professional and authoritative international certificate in the field of data in the digital economy era. Many people working in banks, telecommunications, state-owned and foreign companies are taking the test. CDA is a professional certification brand for cutting-edge technology fields such as data science and artificial intelligence. Among them, "registered data analyst" is a professional and authoritative international qualification certification in the field of business data analysis and big data application. The certification is divided into LEVEL I, II, and III levels. Assess the general technical ability of professional data talents. On this basis, in order to better penetrate into the industry, positions, and special technical fields, and fully assess the specific skills, special skills and practical abilities of talents, the diversified certification of CDA+ industry and positions will be launched one after another, with "AI+ evaluation" technology All-round intelligent evaluation of talent performance, with the integrated model of "online learning-training-examination", to meet the fragmented, phased, and systematic learning needs of people in different industries and fields, and to complete the personalized empowerment of talents With professional certification.
There is no end to learning, but diligence can reach! Instead of facing so many dilemmas, it is better to work hard and get a certification as a CDA data analyst to break through employment barriers and speed up career promotion channels!
Salary data from recruitment websites is also sufficient to prove that there is a large gap in data analyst positions and high salaries.
Skills and certificates are like college diplomas. Once they are obtained, they have lifetime value. Big data is also a new industry. If you grasp the opportunity early, it will not harm you. In 6 years, CDA data analyst certification has helped 10,000+ licensees achieve high salaries.
Missed real estate speculation, bull market, e-commerce, live broadcast, we must not miss the CDA data analyst certification.