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Introduction to Data Analytics

2 courses , 24 lessons , 2 exams

People often apply analytical methods without really understanding them. These courses will teach you the relevant principles behind important methods in statistics and predictive modeling.

Course List (2)

Principles of Statistics

Statistics is the process of collecting, analyzing and interpreting data. It underpins most work in data analytics. We can divide statistics into two broad areas: descriptive statistics and inferential statistics. Descriptive statistics focuses on summarizing a dataset of interest, so we can draw conclusions about the data. Inferential statistics involves making a prediction about a population of data based on a sample of that data.

10 lessons
48 minutes
Created with Sketch. Intermediate
Introduction to Predictive Modeling

In analytics, a model is a simplified mathematical approximation of some real-world process. We use models to identify relationships between fields or observations in a data set. When we create a good model, we should be able to use it to analyze other datasets or make predictions for the future.

14 lessons
73 minutes
Created with Sketch. Intermediate