About this Course

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.

Course Cost
Free
Timeline
Approx. 2 months
Skill Level
Beginner
Included in Course
  • Rich Learning Content

  • Interactive Quizzes

  • Taught by Industry Pros

  • Self-Paced Learning

  • Student Support Community

Join the Path to Greatness

This free course is your first step towards a new career with the Data Analyst Nanodegree Program.

Free Course

Intro to Descriptive Statistics

Enhance your skill set and boost your hirability through innovative, independent learning.

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Course Leads

  • Ronald Rogers
    Ronald Rogers

    Instructor

  • Katie Kormanik
    Katie Kormanik

    Instructor

  • Sean Laraway
    Sean Laraway

    Instructor

What You Will Learn

Lesson 1

Intro to Research Methods

  • Introduction to several statistical study methods.
  • Learn the positives and negatives of each.
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 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 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 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 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 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.
Lesson 7

Sampling Distributions

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

Prerequisites and Requirements

This course assumes understanding of basic algebra and arithmetic.

See the Technology Requirements for using Udacity.

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 do I get?
  • Instructor videos
  • Learn by doing exercises
  • Taught by industry professionals
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