2 Courses and Certifications

Udemy Statistics Courses & Certifications

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Probability and Statistics for Business and Data Science

The Probability and Statistics for Business and Data Science online course is a 5 hours on-demand program offered by Udemy which consists of 10 articles and 35 downloadable resources. The course teaches about the basics of probability. This hands-on course will cover statistics theory as well as how to apply statistics to real-world issues. Each module includes sample problems, in-class quizzes, and assessment exams. 

The Probability and Statistics for Business and Data Science training begin by discussing the fundamentals of data, including how to evaluate it using measures of dispersion and central tendency, as well as how bivariate data sources may be related to one another. Following that, the course will delve into learning about combinations, probability, and conditional distribution and well as permutations and how to use the Bayes theorem.

The Probability and Statistics for Business and Data Science syllabus cover the most common distributions encountered in statistics, laying the groundwork for knowing how to work with binomial, uniform, normal, and Poisson distributions.

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3,199
Skills Covered:
Statistical skills Data science knowledge

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Master statistics & machine learning: intuition, math, code

Master statistics & machine learning: intuition, math, code certification course is created by Mike X Cohen - Neuroscientist, Writer & Instructor, and is made available through Udemy which is developed for students who want to learn the core principles of machine learning and statistics. Master statistics & machine learning: intuition, math, code online course by Udemy focuses on explaining how to utilize tools such as Python, Octave, and MATLAB for machine learning and mathematical operations, including statistics.

Master statistics & machine learning: intuition, math, and code online classes aim to teach the concepts of statistics and machine learning which act as the foundational principles of A.I. and business intelligence. This course involves more than 38.5 hours of prerecorded lectures, as well as four downloadable resources and three articles on topics like correlation, regression, clustering, classification, ANOVA, black box statistics, descriptive statistics, predictive analysis, signal detection theory, probability theory, data cleaning, data visualization, and data normalization.

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1,299
Skills Covered:
Mathematical skill Machine learning Knowledge of Python Knowledge of MATLAB Knowledge of Data Visualization

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