5 Top Tools Data Scientists Use

It could be said that data scientists are only as good as their tools, so it’s crucial to have the best tools at their disposal. From software applications to programming languages, these data scientist tools can help with the data analysis itself as well as communicating the results of analysis through data visualization. This article contains a brief overview of some of the most useful tools that data scientists use frequently to deliver the results their organizations need.??

The Number 1 Data Scientist Tool: Microsoft Excel

It may surprise you to learn that an old classic, Microsoft Excel, is number one on this list. ? However, Microsoft Excel has a wide variety of useful data functions, with everything from basic calculations to SQL queries and scripting with Python, the next tool on this list. While it may not be able to handle large volumes of data, for the day-to-day work of a data scientist, Microsoft Excel remains extremely useful. No matter which tool or application that I’ve used in the past, being able to export to an Excel or CSV file makes sharing and working with data easier than ever.?

Python

Python continues to be a top choice of programming language for data scientists. In spite of its utility for the technically minded, it is generally? easy to learn, with the simple lines of code that are quick to write. It has a diverse range of data science uses including data visualization and data analysis. It also works with a variety of libraries and its own automation frameworks.??

Tableau

Originally created in 2003, Tableau is a very useful visual analytics platform. Tableau facilitates the use of business intelligence in organizations, as it lets data scientists easily communicate key results to stakeholders. It also helps data scientists to collaborate with other departments across the organization. Tableau prides itself on having an intuitive user interface that makes it possible for a wider range of users to access data insights.

R

The simply named R is a programming language that data scientists can use to create data visualizations.? It’s also loaded with some of the most advanced statistical packages in the industry. ? This is yet another example of a data science tool that has stood the test of time, since its creation in the 1990s. R can also be used for machine learning applications.

Structured Query Language (SQL)

Last but certainly not least.? After decades in use SQL is still a powerful tool used by data scientists, engineers, and developers to create, delete, update, select, and manipulate data. At this point in industry, some may consider SQL to be a foundational part of becoming a data scientist.? With the ability to work well with Python and a host of other languages, SQL will always be in my data science toolkit.??

Get the Data Science Help You Need with Square Peg Technologies

Square Peg Technologies data scientists wield a suite of tools to create the data solutions your organization needs. We have the expertise to make sure your use of technology serves your objectives. We also have the ability to communicate with stakeholders at all levels of technical competency, and we’re always happy to provide support. Contact us today to learn how to optimize your use of data.?