Shulou(Shulou.com)06/03 Report--

As the saying goes, true knowledge comes from practice, and the same is true when learning the development of big data, so do you know why it is so important to learn from big data's development training project? Next, let's give you a brief introduction.

Job-hunting angle, enterprise recruitment requirements

The ultimate goal of an enterprise is to make a profit, so it will choose the employees with the highest value. Through the online recruitment information, it is not difficult to find that work experience is an important assessment standard for enterprise recruitment. Therefore, many recent graduates are underpaid because they have no work experience, but training institutions are different from traditional schools. They pay more attention to the importance of practical training, so that students really have practical ability, so that students have a high practical ability after learning, which is equivalent to work experience and becomes the key to job hunting.

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Personal development needs, rapid growth

Just talking but not practicing is always a sham. IT technology is not the same as learning in other fields. What students need most is practical practice and master what they have learned in practice. Manatee College has detailed training programs to take out valuable data from huge amounts of data and calculate the finished report data that can be viewed by products, operators and enterprise decision-makers so that they can timely grasp the product flow information and users' use of products to help them make timely and correct adjustments to the business and achieve rapid growth of students.

Real training programs are more conducive to the improvement of skills.

Big data's real project can make scholars really feel the charm of big data, if it is only false data, then the significance of practical training is not very great. Manatee College has detailed training programs, such as the Taobao similar item recommendation system, which allows students to mine the most relevant items from massive user data based on the user's behavior. and consider the time window of user interest and the reduction of rights of multi-item owners. Used in the intelligent recommendation advertising strategy in the Internet advertising recommendation system, mining the relevance of items through the user's behavior can greatly improve the accuracy of the personalized recommendation system and thus improve the advertising revenue on the subdivided traffic. increase the company's ability to realize traffic. Only in this way can we improve the students' skills.

I believe that after reading this article, you should know why it is so important to learn from big data's development and training project. A form of teaching done while learning. Through teachers'on-site demonstration and students'on-site practice, we can achieve the purpose of skillfully mastering the teaching content, which can not only improve the learning efficiency, but also promote the rapid growth of students.

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