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Janani Ravi

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What's inside

Three courses

Finding Relationships in Data with Python

(2 hours)
This course covers techniques for exploring data to find relationships between variables, including summarizing and describing data, and visualization tools to express relationships.

Interpreting Data Using Statistical Models with Python

(2 hours)
This course covers techniques from inferential statistics, including hypothesis testing, t-tests, and Pearson’s chi-squared test, along with ANOVA, which is used to analyze effects across categorical variables and the interaction between variables.

Interpreting Data Using Descriptive Statistics with Python

(2 hours)
This course covers measures of central tendency and dispersion needed to identify key insights in data. It also covers correlation, covariance, skewness, kurtosis, and implementations in Python libraries such as Pandas, SciPy, and StatsModels.

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