Technical Skills Every Data Scientist Must Have
The recently emerged field of Data Science, has rapidly becoming the most sought after, career option in the short period of time, since its inception. There are so many people, both from technical as well as non-technical background that are drawn to this filed and rightfully so. The main reason why this field has amazing future prospects, is mainly because our entirely world, today has begun to run on data and it various other nuances. So for all those who think they have the right kind of mindset, the suitable likes and dislikes and traits for becoming a data scientist, it is also important to have certain technical skills. The shape that the field of Data Science has taken today, the professionals working in here, are very much expected to be well versed in the use of popular data analytics tools. These tools are what enables the data scientist, to carry on their work with finesse. They are namely, R Programming, SAS, Hadoop, Java, Python, SQL, Hive, Pig and so on. While having the nontechnical skills like visualization, unearthing hidden patterns, trying to look beyond the ordinary count, but these professionals are expected to have a strong technical skills set, if they wish to make it big in this industry. Here’s a list of technical skills, that every Data Scientist is expected to possess Math and Stats The very basic requirement of a Data Scientist, is the knowledge of R, SAS and strive to recognize patterns in huge data sets. As it is data sets that are being dealt with here, having a strong background in statistics, maths, algorithms and machine learning; becomes of utmost importance. Domain Expertise