statistical analysis lending club data was taken from the datasets listed on this website. (https://www.lendingclub.com/info/download-data.action)
General Goals:
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The basics of probability and statistics as they apply to descriptive analysis of data sets.
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Perform basic statistical measures and descriptive analysis in Python.
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Linear and logistic modeling in Python.
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Naive Bayes, Time-series Analysis, and Markov Models, and how they relate to data science.
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Calculate probability distributions and probability densities.
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Graph distributions in Python.
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Understand linear regression and correlation.
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Clean data to perform linear regression in Python.
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Interpret and analyze the results of a linear model.
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Learn the fundamentals of logistic regression models.
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Build and analyze a logistic regression model in Python.
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Learn key concepts in multivariate analysis.
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Perform multivariate analysis in Python.
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Learn basic concepts in time-series analysis.
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Perform time-series analysis in Python.
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Learn the fundamental concepts important in understanding Markov processes.
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Calculate basic transitional probabilities in Python.
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Learn Bayes' Theorem and the concepts of prior, posterior, and conditional probabilities.