Course Overview

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.

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1. Population & Samples

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

2. Types of Data: Categorical & Numerical

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

3. Levels of Measurement

Learn about qualitative and quantitative measurement.

4. Visualizing Data

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

5. Graphs & Charts

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

6. Measures of Central Tendency

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

7. Asymmetry & Variability

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

8. Covariance & Correlation

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

9. Case Study: A Business Analysis

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

Certification available for your learners

Learners who complete the English for Statistics for Data Science & Business Analysis course will receive certificates of completion to demonstrate their proficiency level.

Courses on any subject are available

We are constantly adding new courses to help learners with their career-specific English skills, and can easily include new ones to meet the particular needs of your learners.