Are you ready to leave the sandbox and go for the real deal? Have you followed Data Analysis: Take It to the MAX() and Data Analysis: Visualization and Dashboard Design and are ready to carry out more robust data analysis?

In this project-based course you will engage in a real data analysis project that simulates the complexity and challenges of data analysts at work. Testing, data wrangling, Pivot Tables, sparklines? Now that you have mastered them you are ready to apply them all and carry out an independent data analysis.

For your project, you will pick one raw dataset out of several options, which you will turn into a dashboard. You will begin with a business question that is related to the dataset that you choose. The datasets will touch upon different business domains, such as revenue management, call-center management, investment, etc.

This open resources textbook contains 10 Units that describe and explain the main concepts in statistical analysis of psychological data (managing data, measures of central tendency, measures of spread, correlations, simple linear regression). In addition to conceptual descriptions and explanations of the basic analyses for descriptive statistics, this textbook also explains how to conduct those analyses with common statistical software (Excel) and open-source free software (R). This book is directed to undergraduates studying basic statistics, especially basic statistics in psychological research.

Learn how instructional designers use data to inform the creation of a Learning Persona. Learning Personas help determine the needs of the training and help ...

Course Description: This course covers the management of healthcare data, selected data management topics with current importance in the field, and how to use statistical methods in data analysis.

Learning Objectives: Upon completion of the course students should be able to:
1. Describe analytics and decision support.
2. Validate the reliability and accuracy of secondary data sources.
3. Identify data sources requiring data management and analytics skills.
4. Demonstrate the statistical methods used in data analysis.

This is a textbook for teaching data science using the Python programming language at a general first year undergraduate level.

This is a textbook for teaching data science using the R programming language at a general first year undergraduate level.

Data talks are short 5-10 minute classroom discussions to help students develop data literacy. This pedagogical strategy is similar in structure to a number talk, but instead of numbers students are shown a data visual and asked what interests them.

In this lab, students are introduced to the difference between relative and absolute dating, using the students themselves as the material to be ordered. Initially, the students are asked to develop physical clues to put themselves in order from youngest to oldest (exposing the inferences we make unconsciously about people's ages), and this will be refined/modified using a list of current events from an appropriate historical period that more and more of the students will remember, depending on their age (among other variables). Absolute age is introduced by having the students order themselves by birth decade, year, month, and day, and comparing the absolute age order to the order worked out in the relative-dating exercise, with a discussion of dating precision and accuracy.

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Spreadsheets Across the Curriculum/Geology of National Parks module. Students calculate the haze index and standard visual range from concentrations of particulate matter.

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A demonstration (with full class participation) to illustrate radioactive decay by flipping coins. Shows students visually the concepts of exponential decay, half-life and randomness. Works best in large classes -- the more people, the better.

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This hands-on lab activity is designed to teach students about how density differences, due to salinity, drive the flow of currents in the ocean. It also helps develop skills in performing and designing simple laboratory measurements; data entry, calculations and graph plotting in a spreadsheet; and comparing experimental data with a theoretical equation.
Key words: ocean circulation; density driven flows; salinity; ocean density; thermohaline circulation.

This module addresses the problem of how to determine the density of the earth and has students do some field experiments to get the data they need to answer the problem.

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This module addresses the problem of how to determine the size of a ton of rocks of a given composition and invites the student to figure out how to solve the problem.

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This module addresses the real problem of determining the density of the Earth and invites the student to figure out how to solve the problem.

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Analyzing three-dimensional orientation data using a stereonet is an important component of any structural geology course, ideally helping students to visualize structural geometry and serving as a springboard for more advanced topics such as fault and fold kinematics. Rather than teaching my students about stereonets using tracing paper and pushpins, I use the newest version of Rick Allmendinger and NÃstor Cardozo's OSXStereonet program, which includes elegant, interactive three-dimensional view options. Simultaneously, I teach students transformation of orientation data between spherical coordinates and Cartesian coordinates, using MATLAB functions to carry out the conversions. We simultaneously solve problems involving orientation data using OSXStereonet and MATLAB, allowing students to gain an understanding of the mathematics that OSXStereonet carries out behind the scenes while using the visualization capabilities of OSXStereonet to reinforce the three-dimensional concepts.

Keywords: Stereonet, OSXStereonet, Matlab, spherical, Cartesian, visualization

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The Smith College Sedimentology course is an example of a course structured around projects, most of which are field based. The projects are carefully designed to take advantage of the local geology and to address a variety of topics. Of utmost importance in designing individual projects is demonstrating the relevance of the work the students do. Therefore the projects are designed to mimic real-life situations: for example, the students address concerns of a local farmer, or have roles as field conference organizers and collaborators (with paleontologists) on a multidisciplinary research project.

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Dr. Thomas Hickson (University of St. Thomas) and Karen Campbell (National Center for Earth Surface Dynamics) developed a small, two-dimensional deltaic sedimentation model for the Teaching Sedimentary Geology workshop. This page provides a complete exercise and construction plans to build your own desktop delta.

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Research-grade Global Positioning Systems (GPS) allow students to deduce that Earth's crust is changing shape in measurable ways. From data gathered by EarthScope's Plate Boundary Observatory, students discover that the Pacific Northwest of the United States and coastal British Columbia -- the Cascadia region - are geologically active: tectonic plates move and collide; they shift and buckle; continental crust deforms; regions warp; rocks crumple, bend, and will break.

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A homework/classroom activity where students collect historical earthquake information and use it to forecast the probability of larger earthquakes.

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The activity is designed to help students conceptualize the spatiotemporal relationships between erosion and deposition across a convex topography, which serves as a proxy for understanding rill and gully formation, knickpoint migration, valley excavation, and the interplay between sediment supply and accommodation across distributary features. The exercise utilizes simplistic flume observations and measurements to generate digital terrain models (DTMs) of generated topographies; by changing individual flume parameters between experimental runs (such as discharge, slope, and sediment type and moisture content), students are able to determine controls on sediment dispersion.