There are many courses for big data mining engineers, including JavaSE development, JavaEE development, concurrent programming development, Linux refinement, Hadoop ecosystem, Python development, Storm real-time development, Spark ecosystem, ElasticSearc, Docker container engine, machine learning, ultra-large-scale cluster optimization, and actual combat of big data projects. If you want to master all the above knowledge, you must study systematically. It is recommended to enroll in online or offline courses of relevant professional institutions. At the same time, the employment prospects of big data engineers after graduation are still very clear, and they also have advantages in salary and treatment, because big data engineers are scarce in the IT profession, and their income and treatment can be said to have reached the top of their kind. 10% of domestic IT, communication and industry recruitment are related to big data, and the proportion is still rising.
If you want to know about the course of data mining engineer, I recommend you to take the course of CDA data analyst. This course not only cultivates students' hard data mining theory and Python data mining algorithm skills, but also cultivates students' soft data governance thinking, business strategy optimization thinking, mining management thinking, algorithm thinking and predictive analysis thinking, so as to improve students' data insight in all directions. Click to make an appointment for a free audition class.