Data science is the field that studies data and how to extract meaning from it while machine learning focuses on tools and techniques for building models that can learn by themselves by using data.
Data is information that can exist in textual, numerical, audio, or video formats. Data science is a highly interdisciplinary science that applies machine learning algorithms, statistical methods, and mathematical analysis to extract knowledge from data. Moreover, this field also studies how to work with data ― formulate research questions, collect data, pre-process it for analysis, store it, analyze, and present the results of the research in reports and visualizations. Data for analysis comes from different channels and is growing fast so analyzing it is beyond human capabilities. At least, without special tools and techniques. Therefore, to work in data science one needs a diversified set of technical skills. They need to know programming and computer science but also statistics, math, and data visualization. Moreover, it’s important to possess a research-oriented mind, be able to notice knowledge gaps and formulate questions that can help to fill them in.
To enroll or learn more click here!