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There’s also a similarly structured beginner-level Nanodegree, “ Programming for Data Science“, that is the perfect pick for you if you don’t meet the prerequisites for this program. However, don’t be discouraged if you lack these prerequisites. This program is best suited for students who have working experience with Python (and in particular NumPy and Pandas) and SQL programming. In addition to covering both theory and practice, the program also includes regular 1-on-1 mentor calls, an active student community, and one-of-a-kind career support services. Udacity’s Data Analyst Nanodegree will teach you all of the knowledge, skills, and tools needed to build a career in data analytics.
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Analytics became even more important in the 1960s when researchers began to use computers to help make business decisions. People have been analyzing data since at least the 19th century when Henry Ford measured the speed of every component in his new assembly line to see where it could be made more efficient.