English for Statistics for Data Science & Business Analysis

In this course, delivered in partnership with 365 Data Science, learners are taught the basics of statistics, from histograms and scatter plots to correlation and standard deviation, and apply them to business analyses.

Учебный план

Population and Samples

Learn the difference between population and samples, and understand random representative samples.

Types of Data: Categorical & Numerical

Understand categorical data, and the types of numerical data: discrete and continuous.

Levels of measurement

Learn about qualitative and quantitative measurement.

Visualizing Data

Learn the basics of visualizing data with both numerical and categorical variables.

Graphs and Charts

Understand how to create histograms, cross tables and scatter plots.

Measures of Central Tendency

Understand how to calculate the mean, median and mode of a data set.

Assymentry and Variability

Take a closer look at skewness, variance, standard deviation and the coefficient of variance.

Covariance and Correlation

Understand covariance and correlation, and the important factors of each.

Case study: A business analysis

Apply lessons from the course to analyze a California real estate company.

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