Free Course

Intro to Descriptive Statistics

Mathematics for Understanding Data

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 Product

Rich Learning ContentRich Learning Content

Interactive QuizzesInteractive Quizzes

Taught by Industry ProsTaught by Industry Pros

Self-Paced LearningSelf-Paced Learning

Join the Path to Greatness

Use Python, SQL, and statistics to uncover insights, communicate critical findings, and create data-driven solutions.

Free Course

Intro to Descriptive Statistics

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

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Nanodegree Program

Data Analyst

byKaggle

Use Python, SQL, and statistics to uncover insights, communicate critical findings, and create data-driven solutions.

 
 

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 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.

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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