Algobeans is authored by Annalyn Ng (University of Cambridge) and Kenneth Soo (Stanford University). We noticed that while data science is increasingly used to improve workplace decisions, many people do not have a good understanding of how it works. Our goal is to support anyone who wants to get started in data science. Each tutorial covers the important functions and assumptions of a data science technique, without any math or jargon. We also illustrate these techniques with real-world data and examples.
Drawing on the expertise of figures working in statistics, data science, computer science, and even the social sciences, authors Ian Foster and Rayid Ghani discuss the ways in which data science can be applied to real-world problems. Big Data and Social Science, which was written for both students and working professionals, provides its readers with the practical knowledge needed to combine various math and science disciplines in order to approach things like innovation.
Numsense! Data Science for the Layman: No Math Added Annalyn 12
Popular majors for aspiring data scientists include math, statistics, and computer science. Other, less-related majors like business can also provide a useful foundation, though learners may have to take additional courses to brush up on necessary technical skills. 2ff7e9595c
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