2. Job Role, Skills, and Salary of Data Scientist vs Data Analyst vs Data Engineer:

The Skillsets

Coding skills are central to each of these job roles – data scientists need to have mastery over programming languages like Java, Python, SQL, R, SAS, to name a few. Additionally, you need a working knowledge of Big Data frameworks like Hadoop, Spark, and Pig. Understanding the basics of technologies such as Deep learning, Machine learning, and the like also can propel your career in this role.

When we talk about the role of a data analyst, what you should know is that it is less technical. It is an entry-level role, and you need to have an understanding of tools such as SAS Miner, Microsoft Excel, SPSS, and SSAS. If you have a basic knowledge of Python, SQL, R, SAS, and JavaScript, it would be a plus point. 

The role of a Data Engineer requires you to have a deep understanding of programming languages such as Java, SQL, SAS, Python, and the like. You should also be adept at handling frameworks such as Hadoop, MapReduce, Pig, Hive, Apache Spark, NoSQL, and Data Streaming, at naming a few.

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