Descriptive Statistics
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What you learn in Descriptive Statistics ?
About this Course
A background in Statistics can prepare you for a wide range of job opportunities ranging from being a pure statistical researcher to a highly sought after data scientist. Keeping the importance of Statistics in mind, this course on Descriptive Statistics will introduce you to the basics of Statistics, central tendancy, variablility, skewness, and kurtosis.
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Course Outline
Statistics is the discipline of science that deals with studying the collection of data, analyzing, interpreting, and presenting empirical data. It explores the variation in the set of data.
Statistics uses many approaches to collect the data for statistical analysis. Direct observation, Experiments, and surveys are the most popular methods to obtain data for statistical analysis. The survey collects data from people through Gallup polls, pre-election polls, marketing surveys, and other forms.
Descriptive Statistical analysis deals with organizing and interpreting data using graphical and numerical methods, such as Inferential Statistical Analysis, Predictive Analysis, Prescriptive Analysis, Casual Analysis, Mechanistic Analysis are the standard statistical analysis techniques used in Descriptive Statistics.
This section describes measures of central tendency by formulating to solve for the previously mentioned example. It also analyzes various metrics of the solution through graphs.
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1.0 Hours
of self-paced video lectures
