What is the difference between a data analyst and a data scientist?

Question

What is the difference between a data analyst and a data scientist?

Answer 1

In this answer, you will get to know clearly about the differences between 

Data Scientist: Data Scientist deals with various data operations.

Data Scientist are involved in several underlying data procedures.

Their task is to handle structured and unstructured data.

A Data Scientist possesses knowledge of Mathematics, Statistics and Machine Learning Algorithms.

Also, they are proficient in Python, R, SAS, TensorFlow, Hadoop, and Spark.

Data Analyst: Data Analyst job is data cleaning, transforming, and generating inferences from data.

The involvement of a Data Analyst is limited to small data and static inferences.

They only deal with structured data. They have problem-solving skills and knowledge of statistics.

They are proficient in Excel, SQL, and Tableau.

Now, you can also watch this video to know the difference between Data Scientist and Data Analyst.

I hope you are clear with the difference between the two and know about the skills and job opportunities in the field.

If you are keen to learn Data Science and aim to become a Data Scientist. then you can check out this Data Science course.

On the other, if you like the career prospect of Data Analyst. Then you can go through this Data Analytics course for more insight.