Udacity

Intro to Descriptive Statistics (Udacity)

Offered by Udacity,
Intro to Descriptive Statistics (Udacity)

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.

Go to Class
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