When you decide to learn a skill, then there is one question that you have to focus on and that is what learning styles are available, which one is good and which one is your preferred one? When different learning styles conflict, what learning style should you choose? For example, nowadays, learning big data has the most common is self-study big data and big data training, learning big data choose self-study or training?

Self-study big data is definitely more preferred by most of the friends, who do not hurt the money? But the effect of big data training is better ah, it is also undeniable, when the two learning modalities conflict, you should choose which learning modality? You have a bottom in mind? For big data learning, IT training advice is to choose big data training for many reasons.

Big data to learn things are very mixed, learning is also very difficult, you choose to learn big data, a lot of problems are beyond your ability to solve the scope of the problem, in other words, you choose to learn big data, then in the study of a lot of you do not have the means to solve the problem will emerge from time to time, affecting the confidence of your learning big data, you may be the more frustrated the more courageous, but a lot of the time undoubtedly is a waste of time. You're not going to be able to do that.

Self-study big data many times is to encounter bottlenecks, and appear the most is that you are busy every day day after day to learn big data, but is not the corresponding results. The big data training is different, it must be effective, otherwise you spend so much training costs is for what? Big data training also knows this, will certainly find ways to confirm your learning results, such as more project training, find excellent big data training teacher and other ways.