# Content: Courses

Change Search Criteria:### Study Design

Courses / Self-paced online courseA course in study design covering the following topics: Statistical questions Sampling and observational studies Quiz Sampling methods Types of studies (experimental vs. observational) Experiments

### Differential Equations

Courses / Self-paced online courseA list of courses and exercises for learning and practicing the following topics in differential equations: First order differential equations Second order linear equations Laplace transform

### Multivariable Calculus

Courses / Self-paced online courseA list of courses and exercises for learning and practicing the following topics in multivariable calculus: Thinking about multivariable functions Derivatives of multivariable functions Applications of multivariable derivatives Integrating multivariable functions Green’s, Stoke’s, and the divergence theorems

### Integral Calculus

Courses / Self-paced online courseA list of courses and exercises for learning and practicing the following topics in integral calculus: Indefinite integrals Definite integrals introduction Riemann sums Fundamental theorem of calculus Definite integral evalution Integration techniques Area & arc length using calculus Integral applications Volume using calculus Sequences & series intro Series convergence & estimation Power series

### Differential Calculus

Courses / Self-paced online courseA list of courses and exercises for learning and practicing the following topics in differential calculus: Limits basics Continuity Limits from equations Infinite limits Derivative introduction Basic differentiation Product, quotient, & chain rules Differentiating common functions Advanced differentiation Analyzing functions with calculus Derivative applications

### Linear Algebra

Courses / Self-paced online courseCourses and exercises for learning and practicing the following topics in linear algebra: Vectors and spaces Matrix transformations Alternate coordinate systems (bases)

### Statistics and Probability

Courses / Curricula / References, Learning Guides, Etc. / Self-paced online courseA list of courses from the Khan Academy covering the following topics: Introduction to statistics Analyzing categorical data Displaying and comparing quantitative data Summarizing quantitative data Modeling data distributions Exploring bivariate numerical data Study design Probability Counting, permutations, and combinations Random variables Sampling distributions One-sample confidence intervals One-sample z and t significance tests Two-sample inference for the difference between groups Inference for categorical data (chi-square tests) Advanced regression (inference and … Continue Reading

### Intro to SQL: Querying and managing data

Courses / Self-paced online courseFrom Khan Academy: “Learn how to use SQL to store, query, and manipulate data. SQL is a special-purpose programming language designed for managing data in a relational database, and is used by a huge number of apps and organizations.” The course includes the following steps: SQL basics – “We’ll show you the basics of creating tables and selecting data in various different ways.” More advanced SQL queries – “Learn how … Continue Reading

### Advanced SQL for Data Scientists

Courses / Self-paced online courseFrom LinkedIn: “There is an increased need for data scientists and analysts to understand relational data stores. Organizations have long used SQL databases to store transactional data as well as business intelligence related data. If you need to work with SQL databases, this course is designed to help you learn how to perform common data science tasks, including finding, exploration, and extraction within relational databases. The course begins with a brief … Continue Reading

### A Course for Visualization in R, Taking You From Beginner to Advanced

Courses / Self-paced online courseFrom FlowingData: “The point of this course is to remove the guesswork and guide you from beginner up to advanced. I recommend a four-week schedule — 5 to 10 hours per week — but you can learn at your own pace. You start with the basics of R and then jump right into visualization. The focus of the course is all about the how. You work through tutorials and pause to … Continue Reading

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