Data Science Skills Study 2023

The “Data Science Skill Study 2023” report provides a comprehensive overview of the current state of data and analytics professionals. Our “Skill Survey” reached out to a diverse cohort of individuals, from data scientists and analysts to data engineers and machine learning practitioners, across various industries and regions.

The report delves into key aspects of the data analytics profession such as programming languages, tools and platforms used for data visualization, cloud platforms, use of advanced algorithms and so on.

Python and R are the preferred programming languages among data and analytics professionals due to their extensive libraries, strong communities, statistical prowess, user-friendly syntax, integration with emerging technologies like machine learning and big data, and adaptability for various data-related tasks.

A complex interplay of factors guides professionals in making well-informed decisions when selecting the cloud platform that aligns most effectively with their precise technical and business imperatives.

The differences in preference among data and analytics professionals for various algorithms can be attributed to the specific characteristics and applications of each algorithm type. Natural Language Processing (NLP) Algorithms are highly favored for their relevance in understanding and processing human language, while Time Series Forecasting Algorithms find popularity in predicting future trends in time-ordered data.