Everything Popular in the 2021 Data Science Landscape
Brief data analysis of 2021 Kaggle ML & DS Survey data
“Data is the new oil”, they said and there are a lot of frameworks, tools, and instrumentations schemes required to employ this new oil to convert it into a valuable fuel to reach the finish line. These data come in multiple formats images, videos, text, audio, etc… and one can achieve a lot of things using data to solve different real-world problems for different industries. Sometimes data aids in human decision making, sometimes algorithms are modelled around patterns found from the data using statistical learning or deep learning, and sometimes machine learning or deep learning models are trained on these data to automate certain decisions. Starting from data cleaning to visualisation to modelling to decision making there are a lot of tools and instruments developed to make these processes more convenient and smooth for individual developers and teams of developers.
In this blog, we will look at tools, frameworks, databases, platforms, and programming languages popular/fashionable in the Data Science industry. We will also see how much money is spent on cloud services, what are the sizes of data science teams, and how much experience a candidate should have to enter this industry and have the sexiest job of the 21st century. (AS IF 😐)
