Apache Spark and other analytical tools are likely necessary to master for those that really want to be professional data scientists like alberto guth angra partners. Technical skills are obliged to understand if you want to pursue a career as a data scientist. Instead of mastering some useful analytical tools, you will work on the tasks slowly. This is why you have to be familiar with some analytical tools so that you can work on the data conveniently and effectively. Here you need to be patient to master those analytical tools. However, as you can pass the process of learning, you will be very grateful that those tools help you at your workplace a lot.
When you are trained to use those tools, you tend to use ready data. In this case, you use the data which are ready to analyze. In fact, when you do the project, you will have to deal with unstructured data. That is something normal in data science. Thus, it is important for you to get involved in some projects. When your friends invite you to help them do some freelance projects, you may just welcome them. By this way, you are going to be used to deal with those unstructured data.
As the area of works in data science is relatively large, sooner or later you automatically have to narrow your specialities. In this case, you do not have to determine your specialities strictly. It is much better for you to flexibly determine your specialities based on the projects that you are used to dealing with.
If you are too strict to yourself, you may leave some valuable opportunities which you can take and utilize it well. As you think that are beginners in this field, you should grab opportunities as many as possible.
