Data Analyst and Data Scientist has a lot of roles and responsibilities in common – depending upon the industry or company that the individual is engaged in. However, in general, students need to develop their skillsets and acumen in the field of statistics to make a transition from data analyst to data scientist. Students can scale up in statistics starting from basic probability & algebraic concepts; and then progressing towards more complicated stuffs.

Another important concept which data analyst needs to upskill to become a data scientist is coding, specifically in Python as this is a mandate for developing data science models and algorithms.