Statistics and Hypothesis Testing for Data science >>>> 100% FREE Data Science COURSE
FREE UDEMY Data Science COURSE
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| Statistics and Hypothesis Testing for Data science >>>> 100% FREE Data Science COURSE |
Description
"Statistics and Hypothesis Testing for Data Science" is a Udemy course that provides essential statistical knowledge and data analysis skills for success in the field of data science. The course covers topics such as data-driven insights, Python skills for data manipulation and visualization, data categorization, variance analysis, correlation and covariance relationships, data shape and distribution, standardization, probability theory, set theory, Bayesian probability, complex counting problems, random variables, and probability distributions.
The course is suitable for students or professionals in various fields, including business, science, social sciences, and healthcare, who want to enhance their data analysis skills. Data analysts, researchers, and scientists seeking to strengthen their statistical foundations and Python programming skills are also encouraged to enroll.
The course is suitable for individuals with no prior statistical knowledge, professionals looking to advance their careers, and individuals preparing for standardized tests or exams that include statistical and data analysis components. By acquiring these skills, students and professionals can effectively analyze data, make informed decisions, and apply statistical methods in a data science context.
The course is suitable for students or professionals in various fields, including business, science, social sciences, and healthcare, who want to enhance their data analysis skills. Data analysts, researchers, and scientists seeking to strengthen their statistical foundations and Python programming skills are also encouraged to enroll.
The course is suitable for individuals with no prior statistical knowledge, professionals looking to advance their careers, and individuals preparing for standardized tests or exams that include statistical and data analysis components. By acquiring these skills, students and professionals can effectively analyze data, make informed decisions, and apply statistical methods in a data science context.
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