Intro to Descriptive Statistics

Overview

Statistics is an important field of math that is used to analyze, interpret, and predict outcomes from data. Descriptive statistics will teach you the basic concepts used to describe data. This is a great beginner course for those interested in Data Science, Economics, Psychology, Machine Learning, Sports analytics and just about any other field.

Syllabus

  • Intro to Research Methods
    • Introduction to several statistical study methods.,Learn the positives and negatives of each.
  • Visualizing Data
    • Take your data and display it to the world.,Create and interpret histograms, bar charts, and frequency plots.
  • Central Tendency
    • Compute and interpret the 3 measures of center for distributions: the mean, median, and mode.
  • Variability
    • Quantify the spread of data using the range and standard deviation.,Identify outliers in data sets using the concept of the interquartile range.
  • Standardizing
    • Convert distributions into the standard normal distribution using the Z-score.,Compute proportions using standardized distributions.
  • Normal Distribution
    • Use normalized distributions to compute probabilities,Use the Z-table to look up the proportions of observations above, below, or in between values
  • Sampling Distributions
    • Apply the concepts of probability and normalization to sample data sets.

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