What skills do data mining engineers need?

Generally speaking, you need to have the following skills: 1, programming/statistical language 2, operating system 3, big data processing framework 4, database knowledge 5, basic statistical knowledge 6, data structure and algorithm 7, machine learning/deep learning algorithm 8, and natural language processing.

1, solid basic engineering ability tends to learn the Java and C++ languages of the underlying computer system, which are highly valued in the recruitment process of enterprises. Of course, this is not the only criterion. The technical team leader will first test the candidate's basic engineering ability, that is, code ability, which means that your work ability at least meets the basic needs.

2. Algorithms and data mining theory Because the industry started relatively late, many candidates do not have practical experience in algorithms and data mining. Therefore, the mastery and application of algorithm and data mining theory knowledge has become an important factor in recruitment.

3. Excellent basic professional qualities such as learning ability, self-driven ability and logical analysis ability are also important reference factors in recruitment.

Regarding the related learning of data mining, we recommend the related courses of CDA data division. The course content takes into account the cultivation of horizontal ability to solve data mining process problems and vertical ability to solve data mining algorithm problems. Students are required to think from the root of data governance, explore business problems through digital working methods, and then select business process optimization tools or algorithm tools through proximate cause analysis and macro root analysis, instead of "adjusting algorithm packages when encountering problems", and click to make an appointment for a free audition class.