Data science tools: Statistical Hypothesis Testing-1 | Science Online Course by Udemy

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Basic of Statistical Hypothesis Test from the beginning

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Data science tools: Statistical Hypothesis Testing-1

Hypothesis testing is one of the most important concepts in statistics specially in inferential statistics. The basis of statistical hypothesis test and different terminologies (p-value, level of significance, type 1 and type 2 errors)will be explained elaborately. Students will be capable to infer about a population mean, proportion, differences between means or proportions, and the relationships between variables and many others. The students will come to know the process of formulating and conducting the hypothesis test in step by step. They will gain the insight view of different types of statistical hypothesis test. They will be able to distinguish between the t-test and z-test. The course will laid the foundation for the advanced level of statistical hypothesis test. It will be very helpful to understand and infer about the different models and algorithms in data science and machine learning. Specially, who are interested to advance their carriers in data science and machine learning should complete the course

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