Previously, Benjamin was teaching Engineering and Physics at U. Tayo is a Physicist, Data Science Educator, and Writer, as well as the Owner of DataScienceHub. Without statistics, data science would be incomplete, and the analysis of data would be limited to basic descriptive measures like mean, median, and mode.
The focus is on the foundational computational statistical analysis and visualization methods underpinning modern data science. The course employs a combination of theory and hands-on experience using Python programming tools. Anyone interested in data science must learn the fundamentals of statistics.īenjamin O. In this course students build a foundation for doing data science, machine learning, and artificial intelligence (AI). In summary, we’ve reviewed the essential statistical concepts useful for data science such as mode, median, mean, standard deviation, probability distributions, normal distribution, and Bayes’ theorem. A simple tutorial on how Bayes’ theorem is used in a binary classification algorithm is found here: Bayes’ Theorem in Plain English. It is used for evaluating the predictive power of binary classification algorithms. Data Science Essentials DSE - Basic Linear Algebra & Calculus DSE - Basics of Java DSE - Basics of Python Programming DSE - Introduction to C++ DSE. Probability distribution of the sepal length width | Image by Authorīayes’ Theorem and Conditional Probabilityīayes’ theorem is an important theorem in statistics and data science.
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