Since the COVID-19 pandemic took over, companies are collecting and handling larger volumes of data, which is causing stakeholders to have more questions than answers about the state of their business. There’s good news. Data science tools can help. Data science tools can predict changes within businesses and forecast upcoming trends so stakeholders are more prepared for the unknown.
Programming languages, BI tools, data warehouses, analytics solutions, machine learning, and AI technology are all great assets to have because they are valuable additions to any company with a digital presence.
If you’re interested in investing in data science tools in 2020, we’ve compiled a list of the most in-demand technologies and skills for digital businesses.

Data Science Tools to Invest In


According to LinkedIn, Python was the most in-demand skill required for data scientists in 2019, with more than 76% of employers asking their applicants to be proficient in this programming language. 
Python incorporates modules, exceptions, dynamic typing, very high-level dynamic data types, and classes. It has become the leading language for data science and machine learning due to its readability, and is not only a way to develop models, but also used for developing any other applications needed in the deployment of machine learning into production systems.
According to the PYPL index on Github, Python is by far the most popular programming language in the world, stealing Java’s crown. It has more than 29.88% of the total web searches in the past year. Its popularity increased by +4.1% compared to 2018. 
The PYPL Popularity of Programming Language Index is created by analyzing how often language tutorials are searched on Google: the more a language tutorial is searched, the more popular the language is assumed to be. It is a leading indicator, with the raw data coming from Google Trends.

R & R Studio

Coming up second, with 57.92% is R, a statistical analysis language and environment for statistical computing and graphics. R provides a wide variety of statistical (linear and nonlinear modeling, classical statistical tests, time-series analysis, classification, clustering, etc.) and graphical techniques, and is highly extensible. 
According to the PYPL, R is not only one of the most in-demand in the job market, but it also ranks 7th in the most popular programming languages in the world in 2020.  
R is easily extensible through functions and extensions, and the R community is noted for its active contributions in terms of packages. Many of R’s standard functions are written in R itself, which makes it easy for users to follow the algorithmic choices made.
R Studio is an integrated development environment for R, with a console, syntax-highlighting editor that supports direct code execution, and tools for plotting, history, debugging and workspace management.
With R Studio, data scientists can publish and distribute data products across their organization. 
R is also used by big tech companies, such as Google, Facebook, and LinkedIn, in their analytics operations. However, most applicants come from finance and analytics-driven industries.

SQL & SQL Consoles

SQL is a domain-specific language used in programming and designed for managing data held in a relational database management system (RDBMS), or for stream processing in a relational data stream management system (RDSMS). 
SQL is particularly useful in handling structured data (for example, data incorporating relations among entities and variables).
SQL consoles, such as MySQL Workbench, are visual tools that provide data modeling, SQL development, and administration tools for server configuration, backup, and more.
It has numerous features such as visual SQL development, visual database administration, performance tuning, user and session management, connection management, data management, visual data modeling, reverse and forward engineering, schema and model validation, scripting, database migration, and many others. 

Jupyter Notebook

The Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations, and narrative text. Uses include data cleaning and transformation, numerical simulation, statistical modeling, data visualization, machine learning, and much more. 

Unix Shell

Unix shell is a command-line interpreter or shell that provides a command-line user interface for Unix-like operating systems. The shell is both an interactive command language and a scripting language and is used by the operating system to control the execution of the system using shell scripts.
Users typically interact with a Unix shell using a terminal emulator; however, direct operations via serial hardware connections or Secure Shell are common for server systems. All Unix shells provide filename wildcarding, piping, here documents, command substitution, variables and control structures for condition-testing and iteration.

AWS – Amazon Web Services

Amazon Web Services (AWS) is a subsidiary of Amazon that provides on-demand cloud computing platforms and APIs to individuals, companies, and governments, on a metered pay-as-you-go basis. In aggregate, these cloud computing web services provide a set of primitive abstract technical infrastructure and distributed computing building blocks and tools. 
AWS’s version of virtual computers emulates most of the attributes of a real computer, including hardware central processing units (CPUs) and graphics processing units (GPUs) for processing; local/RAM memory; hard-disk/SSD storage; a choice of operating systems; networking; and pre-loaded application software such as web servers, databases, and customer relationship management (CRM).
The AWS technology is implemented at server farms throughout the world and maintained by the Amazon subsidiary. 



MATLAB combines a desktop environment tuned for iterative analysis and design processes with a programming language that expresses matrix and array mathematics directly. It includes the Live Editor for creating scripts that combine code, output, and formatted text in an executable notebook.
MATLAB apps let you see how different algorithms work with your data. Iterate until you’ve got the results you want, then automatically generate a MATLAB program to reproduce or automate your work.
You can scale your analyses to run on clusters, GPUs, and clouds with only minor code changes. One of the great advantages of MATLAB is that there’s no need to rewrite your code or learn big data programming and out-of-memory techniques.

Power BI

Power BI is a collection of software services, apps, and connectors that work together to turn your unrelated sources of data into coherent, visually immersive, and interactive insights. Your data may be an Excel spreadsheet or a collection of cloud-based and on-premises hybrid data warehouses. Power BI lets you easily connect to your data sources, visualize and discover what’s important, and share that with anyone or everyone you want.


Tableau is a data visualization software company. Tableau products query relational databases, online analytical processing cubes, cloud databases, and spreadsheets to generate graph-type data visualizations. The products can also extract, store, and retrieve data from an in-memory data engine.


Data is at the heart of any digital business today but companies need insights and actionable paths to optimize their business and adapt when needed for maximum results. Especially during the COVID-19 pandemic, having the right tools and skill sets in place is required for businesses to make decisions quickly and efficiently.
If you need help picking the best technology for your business, or the best technology vendors, our team of experts can help you make the best decision.
We can also assist you in expediting the process of digitally transforming your business. Now, perhaps more than ever, speed is essential, and businesses must adapt in order to survive and thrive. 

About the author

Sebastian Stan

Sebastian is a journalist and digital strategist with years of experience in the news industry, social media, content creation and management, and digital analytics.

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