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In this course, you will learn
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Data analysis FAQ related to interview questions in your career .
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Four main things you should know them in data analysis and business analysis
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HYPOTHESIS TESTING
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Normal distribution and standard normal in details using Z table .
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Sampling distribution with practical simulation apps and answering of important technical questions .
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Confidence level and Confidence interval .
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What is t distribution ? ( with projects )
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Inferential and Descriptive statistics with collection of important quizzes and examples .
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One sample mean t test .
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Two sample means t test .
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How to calculate P value using manual and direct method ?
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What is after data analysis ?
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TWO PROJECTS related to hypothesis testing
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Null hypothesis and alternative hypothesis .
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What is P value ?
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Data types and Why we need to study data types ?
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What is Type one error ?
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Relationship between Type one error and Alpha ( non confident probability )
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Is Normal distribution and t distributions are cousins ?
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Projects like Estimation of goals in premier league ( using confidence interval ) , and more .. and more to learn it
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Ice Cola example with student's t distribution .
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Help fisherman to catch Tuna using sampling distribution
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What is "double edged sword of statistics" ?
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Is programming something mandatory to learn data analysis and business analysis ?
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Which programming languages i should start with it ?
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Practical significance versus statistical significance , and more to learn .. and more to learn it
