# Intro to Descriptive Statistics (Udacity)

##### Start Date
Self Paced Free Course
Categories
Effort
Certification
Languages
This course assumes understanding of basic algebra and arithmetic.
Misc

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Mathematics for Understanding Data. 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.

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Why Take This Course

This course will teach you the basic terms and concepts in statistics as well as guide you through introductory probability.

You will learn how to....

- Use statistical research methods.

- Compute and interpret values like: Mean, Median, Mode, Sample, Population, and Standard Deviation.

- Compute simple probabilities.

- Explore data through the use of bar graphs, histograms, box plots, and other common visualizations.

- Investigate distributions and understand a distributions properties.

- Manipulate distributions to make probabilistic predictions on data.

### What You Will Learn

LESSON 1

Intro to Research Methods

Introduction to several statistical study methods.

Learn the positives and negatives of each.

LESSON 2

Visualizing Data

Take your data and display it to the world.

Create and interpret histograms

bar charts

and frequency plots.

LESSON 3

Central Tendency

Compute and interpret the 3 measures of center for distributions: the mean

median

and mode.

LESSON 4

Variability

Quantify the spread of data using the range and standard deviation.

Identify outliers in data sets using the concept of the interquartile range.

LESSON 5

Standardizing

Convert distributions into the standard normal distribution using the Z-score.

Compute proportions using standardized distributions.

LESSON 6

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

LESSON 7

Sampling Distributions

Apply the concepts of probability and normalization to sample data sets.

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