COMPARISON OF DATA SCIENCE EXPERTS
The most recent industry predictions claim that within 2020, 28% of all digital jobs will be made up from the field of Data Science. This means an extraordinary demand for all categories of Data Science professionals. But there is some confusion regarding the categories of professionals here. In this article, we discuss the comparative status of data scientist vs data analyst vs data engineer. Skill-sets The skill-sets vary with each category of Data Science expert. The role of a Data Analyst is the least technical of the three categories. Since this is an entry level position, the Data Analyst needs to be able to skillfully use tools, such as, Microsoft Excel, SPSS, SSAS and SAS Miner. Additionally basic competence with R, Python, SQL, SAS and JavaScript is a distinct advantage. The Data Engineer needs to have strong expertise in the use of Programming Languages like Java , SQL, Python and SAS. Frameworks such as Hadoop, Pig, Hive, Apache Spark, NoSQL, Data Streaming, MapReduce etc a