Recently, at the 3rd Digital China Construction Summit, Zhong Nanshan, an academician of the Chinese Academy of Engineering, said that big data and artificial intelligence have greatly improved the level of diagnosis, prediction and treatment of China's new coronary pneumonia.
Source: Tencent
Zhong Nanshan believes that in this sudden epidemic in 2020, big data has become an extremely important basis and support for understanding the laws of diseases and how to prevent them.
Zhong Nanshan Review
Remember the beginning of the disease. Through the big data of more than 1,000 patients with new coronary pneumonia from across the country, we learned the incubation period and clinical features of the disease, which played a reference role for early diagnosis and differential diagnosis.
We also used the big data of more than 5,000 patients to predict the patient's recovery, and identified the top ten risk factors for reference to the majority of medical staff.
From nearly 1 million CT data and artificial intelligence technology, it can make more accurate predictions for patients with differential diagnosis, systemic damage prediction and recovery, and help young doctors improve their ability to diagnose new coronary pneumonia.
The use of big data to predict the peak of disease development has made a good prediction model for the Spring Festival transport, which is more accurate than foreign countries, and provides an important basis for domestic policy making.
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Indeed, with the emergence of a new round of scientific and technological revolution and industrial transformation, digital technology is rising strongly in the construction of Internet hospitals, telemedicine, public health emergency system construction and ecological environmental protection, and benefiting mankind.
When it comes to big data, everyone is no stranger. Relevant departments use big data analysis methods to quickly target at-risk groups and monitor the whereabouts of quarantined people, and to compete against the epidemic is one of the keys to stabilizing the epidemic.
Nowadays, the Internet is rumored that "We have nowhere to hide in front of big data", which shows that big data is not only powerful, but also more and more widely used.
The so-called "market orientation determines the relationship between supply and demand", it is reported that the demand for talents in China's big data industry is expected to reach 2.1 million in 2020, and the growth rate of 30%-40% will be maintained in the next 5 years, and the total demand will be around 20 million.
For this reason, domestic colleges and universities are vying to open up new big data and related majors, but the output of big data talents is far from being scaled up, causing companies to focus more on the practical ability of practitioners rather than academic qualifications.
Under this background, companies looking for suitable big data and data analysis talents must rely on the long-term stable formation of high gold content certificates in the industry.
Under the trend of big data and artificial intelligence, the vigorous development of the industry has spawned the rapid rise of CFA, PMP, ACCA, etc., which have become generally recognized certificates in the industry, which is the CDA data analyst certification.
The CDA data analyst certificate covers the skills required by big data, artificial intelligence and data analysis practitioners, and provides data analysis talent reference standards for global enterprises and institutions. It is gradually recognized by governments, enterprises and practitioners, and it is a long-term and stable industry talent. standard.
Therefore, obtaining the CDA Data Analyst Certificate will be your stepping stone to enter the industry and be used to certify your own capabilities.
Why does the CDA certificate become a stepping stone?
The CDA Data Analyst Certification Certificate means that the holder has strong business data analysis and practical ability, can obtain a higher salary and have more job options...
——The salaries of certificate holders are generally high
Taking the top 10 cities in the country as an example, comparing the monthly salary of CDA holders and non-certified holders of data analysis positions in the job market, it is found that the monthly salary of those who study systematically and obtain grade certification is higher than that of the uncertified people. This situation is not limited to the first line. The city is also more obvious in the second and third tier cities.
LEVEL I Comparison of the monthly salary of TOP10 cities between holders and non-certificates
The CDA Level I certificate is mainly for business data analysis. It is a junior position in the field of data analysis. It is matched with data maintenance posts, data analysts, data enablement posts, BI engineers, data development posts, and monthly jobs for CDA Level I holders. The average salary is higher than that of non-licensors.
Comparison of the monthly salary of the LEVEL II holders and non- holders of TOP10 cities
The CDA Level II certificate is divided into data mining and big data directions. It is an intermediate position in the field of data analysis. It matches with data mining engineers and big data analysts. The average monthly salary of CDA Level II holders is higher than that of non-certified holders. By.
Comparison of the average monthly salary of LEVEL III licensed and non-licensed groups
The CDA Level III certificate is data science, which is a senior position in the field of data analysis. It is generally recruited by large companies such as listed companies and state-owned enterprises, mainly in the first-tier cities of Beijing , Shanghai , Guangzhou and Shenzhen . The average monthly salary of CDA Level III holders is higher than that of non- Holders.
——More diversified job options for certificate holders
The demand for data analysis certification is huge. In the next 5 years, data analysts will grow at a rapid rate of over 20% per year. The urgent market demand makes data analysis posts diversified.
Pure data incubates data engineers, data scientists, and artificial intelligence experts . The job responsibilities are mainly focused on data processing, business modeling, data visualization, and data platform construction. They work in the company's data department.
In addition, in the digital transformation of enterprises, different positions in different industries have put forward requirements for data analysis skills, making data-enabling positions diversified and permeating various industries.
CDA Candidate Growth Rate
Data analysis posts are favored by job seekers and practitioners due to their detailed division of labor and many choices. This is also the number of CDA certification candidates is increasing year by year, and the growth rate in the past two sessions is one of the key factors for as high as 40%.
——Proof of the practical ability of the holder
Although the data analysis industry is an emerging industry in China, the output of talents from universities cannot meet market demand, prompting companies to pay more attention to the practical ability of data analysis practitioners rather than academic qualifications. Therefore, the overall threshold of this industry is not high, even It can be said to be low.
Taking the two main categories in the data analysis job market as an example, pure data jobs cover education from high-level vocational to doctoral degrees, and the other type of data empowerment jobs have greater threshold tolerance than pure data jobs .
Distribution of previous certificate holders' academic qualifications
However, because of the lack of academic qualifications, companies who want to find suitable counterparts have to rely on the long-term stable formation of high gold content certificates in the industry. As a result, a large number of companies have introduced CDA certificates as the evaluation criteria for internal data analysis talents. .
Therefore, there will be more research troops to win this stepping stone for a better future to prove their data analysis capabilities.
Why are CDA holders favored by enterprises?
It is true that a certificate is an auxiliary bargaining chip and cannot represent everything. What can support a further advancement in the industry is a strong business and practical ability.
CDA examination and training courses are closely integrated with business practice. While consolidating the theoretical knowledge of the students, it also focuses on cultivating practical skills, making the CDA data analyst certification widely recognized by the society.
As of 2020, CDA data analyst holders have spread all over the world, and companies that have introduced CDA certificates as the evaluation criteria for internal data analysis talents have also increased significantly .
CDA holders work for the company
For data analysis industries where there is a large talent gap, relatively high salaries, but not much academic qualifications, the CDA certificate adds a number of winning weights to practitioners in all aspects.