Which big data training school has better teaching quality?

Which big data training institution is good, it is recommended that you consider many aspects and visit the site in person.

1. Recognize yourself before choosing a big data training institution.

Before learning big data technology, you must recognize yourself, this is not a joke, but a very important condition, and it can even be said that if you don't even know yourself, then you will encounter big trouble in choosing a training institution and future learning, and it may also lead to your own failure.

2. Have a clear understanding of the teaching mode of the institution when choosing an institution.

Because different institutions have different teaching methods, different teachers, and different teaching plans and service systems, the combination of these problems leads to the very different reputation and teaching results of each big data training institution, and finally causes the training of students to work differently.

3. Finally, you must consider the issue of tuition fees.

Everyone's economic situation is different, and the cost of big data training is a lot, so when considering signing up for a study class, you can choose a cost-effective big data training class according to your own situation.

No matter which big data training institution you go to, it is inseparable from your own efforts, so you need to be able to persevere, ask for advice with an open mind, and master the real technology.

I believe that students who develop in the IT field are familiar with big data. It has always been in the leading position in the ranking of big data programming languages, which can directly reflect the importance of big data. Therefore, many students are ready to participate in the systematic learning of big data training institutions.

So, which big data training institution is better? Let's take a look.

With the popularization of big data, more and more people understand big data, and companies will also put forward higher requirements for job seekers, they want to recruit some people who can start working immediately, so they often recruit some people with project development experience. That's why so many computer science majors can't find jobs, so more and more college students will choose to take some professional big data training courses before and after graduation to increase their practical experience. Only by strengthening oneself can one be invincible.

Which big data training institution is better? Judging whether big data training institutions are good or bad mainly depends on the following aspects.

1.Look at the content of the teaching course.

The most important thing to learn big data technology is to keep pace with the times, and the technical points mastered can meet the employment needs of today's enterprises. If you want to know whether the courses offered by a training institution are new, you can also go to the official website of the institution to understand the course outline of the subject you want to study. Let's see how the learning roadmap is arranged, whether there is a system built from zero to one, whether there is a proportion of strengthening practical training and practical operation, and there are as many projects as possible.

Because enterprises have high requirements for the technical ability and hands-on ability of big data practitioners.

2.Look at the faculty.

Because the technical knowledge of big data development is highly professional, it is easy to fall into misunderstandings if you blindly learn it. On the contrary, having a lecturer to lead and standing on the shoulders of giants often results in twice the result with half the effort. After all, in this day and age, you only need to communicate with others more to get more valuable information, and beginners must not work behind closed doors.

3.Look at word of mouth.

The reputation in the industry is better, and students are more recognized by the training institutions, and this kind of institutions focus on the students, which is the proper attitude of education.

4.Look at the employment situation.

Training institutions that aim to find students employed are now the most important. It is important to know that employment is also the embodiment of teaching achievements, and good employment cannot be achieved without a good teaching guarantee.

5.Door-to-door free trial.

The purpose of the audition is to better feel the course content, lecture style, class atmosphere, etc. of the training institution, and at the same time, to communicate with the students in the class, to further understand whether the training institution meets their needs in all aspects.

The overall reputation of the school should be understood through online, offline or on-site visits.

There are many places for big data training, and I hope you will investigate more to find a place that suits you.

Big data has just emerged recently, and there are only a few, and the strength of big data in Beijing is still quite good.

What Big Data Technologists Know:

Basic stage: Linux, Docker, KVM, MySQL basics, Oracle basics, MongoDB, and Redis

Hadoop MapReduce HDFS Yarn:Hadoop: Hadoop concepts, versions, history, how HDFS works, introduction to YARN, and components.

Big data storage stage: HBase, Hive, and SQOOP

Big data architecture design: Flume distributed, ZooKeeper, and Kafka

Real-time computing of big data: Mahout, Spark, and Storm

Big data collection stage: Python and Scala.

Big data business practical stage: practice the business scenarios of enterprise big data processing, analyze requirements, implement solutions, and apply comprehensive technologies in practice.

Employment direction of big data: big data system research and development talents, big data application development talents and big data analysis talents.

If you want me to say, it must be Mr. Liu Jack, he has done big data marketing courses for large enterprises at home and abroad for many times, and has unanimously received good reviews from everyone, and you need to find a big data marketing lecturer trainer, then Mr. Liu Jack is your best choice!

First, whether the teaching system is perfect.

At present, the demand for talents in the market is often all-round, so education and training institutions are required to have a mature teaching system.

Second: whether the course arrangement is reasonable.

A good course arrangement can allow students to learn systematically, and it can also allow Xiaobai to get started faster, of course, the course should also be connected with market demand, so that students can achieve better growth.

Third: faculty and hardware facilities.

A good teacher is of great significance to the growth of students, and the choice of an educational institution can be ignored by others, but the choice of lecturers cannot be ignored. A good teacher can explain the knowledge points more clearly, and the teaching method can be more in line with the habits of the students.

Fourth: the choice of teaching method.

There are basically two modes of teaching in the market today, face-to-face classes and online classes. The difference between the two models is not only in the cost of training, but also in the quality of teaching. It is recommended that if you want to complete the big data learning most efficiently, it is best to attend a face-to-face class.

Fifth: the founder's background and technical strength.

Whether the founder is a technical celebrity, and what is his own strength? Ask a non-technical founder, how do you know that his organization is professional?

Qianfeng Education, Chuanzhi Podcast, Dark Horse Programmer, and Peking University Jade Bird are all good, and Qianfeng Education is recommended even more, Qianfeng Education is relatively large, and it is also well-known in the IT training industry.

Qianfeng's big data training course is set up to closely follow the development of the industry and focus on future needs, and the course content includes one-stop technology for development, collection, storage, and computing, covering the core technologies in the big data system, such as Hadoop, Storm, Spark, etc., and comprehensively covering the technical points required by big data talents. The practical projects used in the course are all based on the real projects of the enterprise, and students can be qualified for the design and development positions in related fields of the enterprise after completing this course. With the technical background of Zhongguancun, Xierqi and other companies with dense IT companies in Shenzhen, the data is the source data of first-line Internet companies, which has certain commercial value and strictly controls the forward-looking nature of the actual project.

If you want to sign up for a programming training class, choose Qianfeng Education. Qianfeng has established directly-operated campuses in more than 20 core cities such as Beijing, Shenzhen, Shanghai, Guangzhou, Zhengzhou and Dalian, serving nearly 200,000 students, nearly 1,000 universities and tens of thousands of enterprises. In addition, it has also launched professional competency certification courses such as soft test, Adobe certification, PMP certification, Huawei certification, Red Hat RHCE certification, and Ministry of Industry and Information Technology certification. The Qianfeng Teaching and Research Institute, which was established at the same time, has continuously improved the quality and efficiency of Qianfeng vocational education and training by virtue of the concept of vocational education without class.

Qianfeng IT training institutions, popular IT course trial places are available for a limited time.