Business Statistics for Data Analysts
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1
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Introduction
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Statistical Learning vs Machine Learning
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Datatypes
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Why data types are important
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Data Grouping
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Data summarization techniques
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Measures of location, spread, and shape
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Visual representation of summarized data
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Summary
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Additional Learning Resources
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Chapter 1 Quiz
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2
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Introduction to Probability
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Probability and Business decisions
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Deterministic and Probabilistic models
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3 types of the probabilistic approach
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Understanding basic terminologies 1
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Measuring outcomes
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Understanding probability through Venn diagrams
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Understanding basic terminologies 2
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Types of probability
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Conditional law
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Laws of probability
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Probability distributions
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Binomial distribution
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Poisson distribution
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Continuous distributions
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Uniform distribution
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Normal distribution
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t - distribution
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Choosing an appropriate distribution
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Summary
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Additional Learning Resources
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Chapter 2 Quiz
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3
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Inferential Statistics
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Key concepts and vocab
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Probability & Non-Probability sampling
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Sampling distribution and CLT theorem
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Estimating population parameters
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Confidence levels and Confidence Intervals
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Hypothesis testing
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Null and Alternate hypothesis
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Significance levels
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2 methods to test significance
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Applying significance levels to decision making
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Chi-square test and their applicability in business scenarios
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One way ANOVA and their applicability in business scenarios
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Summary
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Additional Learning Resources
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Chapter 3 Quiz
