Now that we have understood what’s the difference between a Data Analyst and a Data Scientist, let’s look at some of the tools they use.
Python is a high-level programming language whose core advantages lie in its readability, large standard library and ability to allow programmers to express concepts in fewer lines of code than they could in other languages. It is a multi-paradigm programming language, which means it supports multiple programming paradigms such as object-oriented programming and structured programming, to name a few.
Python was originally a general purpose language, but it now has a dedicated library for data analysis. Due to its neat syntax, it is easier to code and debug in Python. Any piece of functionality is also always written the same way in Python. Compared to its biggest competitor ‘R’, Python has a relatively low learning curve and is seen as the programming language that rookie programmers should start with before venturing into more challenging languages. It is frequently used when there is a need to integrate the program with web applications.
R is an open source programming language that is widely used among statisticians and data miners. While Python emphasizes efficiency and readability, R focuses on user friendly statistics and graphical models. When using R, statistical models can be written with only a few lines of codes, and, unlike Python, the same piece of functionality can be written in several ways. R has a comparatively steeper learning curve, so it is usually advisable for inexperienced programmers to learn it after they are familiar with other programming languages. There are more data analysis packages in R than in Python.
Structured Query Language (SQL) is designed to manage data held in a relational database management system. It allows the programmer to access multiple records with a single command and eliminates the need to specify how a record should be reached. Data Analysts and Scientists use SQL to get information out of databases to solve business problems.
Tableau is a visualization software that generates different graphs and figures using data obtained from databases and spreadsheets so that the data can be easily understood and, if necessary, communicated to different departments in an organization with little obstacles.
Visual Basic for Applications (VBA) is an event-driven programming language built into most Microsoft Office software. Data Analysts and Scientists generally write VBA codes in Microsoft Excel to automate or simplify data-related tasks such as storing and manipulating data or developing automated reports.