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I climb with a bachelor's degree in applied mathematics and will pursue a master's degree in statistics in this case.
There are many specialized fields in applied statistics. I realize that I may be more interested in becoming a data analyst, with large data in market research or to work, but I'm not sure what kinds of skills need, and what are the core courses I need, To become a data analyst.
I learned a few Matlab, R, SPSS, C, Ruby, can not say that I am an expert for this. I learn Sas, because SAS seems to know what every statistical master should know. (Is that really true?)
I'm a bit confused now and need a special advice, which skills I should learn intensively and what courses I should take.
Apart from the technical skills, such as R or SAS, SQL is important, and a few other capabilities at higher level, including:
Data manipulation : To be able to analyze data, you often have a significant time to acquire the data and create it into a form that can be analyzed. Many statisticians tell them that most of their time is issued on a specific project with the manipulating data. So it is important that it is good to be good here!
Understand : Many people appreciate the time required to understand a complex record. In earlier days, you had to fulfill time for a masterpiece, with a record, with a record that you see the different facets of the data and understand the dimensions and missing data and talk to the people to understand the data to the To understand data. Again, they spend a considerable time to do this, it requires the practice to build this ability!
visualization : hand in hand with the above side is the visualization. Knowing how to poisen data to facilitate understanding is important. Later, if you want to show someone else what you have found in the record, a carefully created picture says a thousand words.
Requirements : One of the hardest to learn is requirements that specifies to the requirements. Your customer is often not clear what they want in their own head, and even less clearly in what they tell them.