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Basics of Excel: Part 2

This class will cover the basics of Excel, from simple formulas (SUM, COUNTIF) to more complex Excel features like Macros and the Data Analysis ToolPak. By the end of both sections, students will be able to employ Excel skills to open source policy data sets. These skills are transferrable to any sector.

Topics Covered Will Include:

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D-Lab Fellows Talk

Data Analysis for a Sustainable Energy Transition: A focus on Equity 

Join us with D-Lab Fellow, Sergio Castellanos, as he shares about his research! 

Emphasizing equity in the way policies are planned and technologies are rolled out is an important element to ensure a movement towards a just and inclusive society, especially in the context of a clean energy economy transition.

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Working with data to explore Transportation and Society: Part 2

Posted: Nov, 04, 2019

By: Sergio Castellanos

In a previous blog I wrote about an exciting project on transportation in cities that, along with some colleagues, I’ve had the opportunity to work on.

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D-Lab Community in Action

Posted: Nov, 04, 2019

By: Iliana Lopez Yanez

Former D-Lab instructor and consultant Chris Hench, now a research scientist in Alexa AI’s Applied Modeling and Data Science group at Amazon, has been collaborating on a project that made it possible for Amazon’s Alexa to feature three new languages: Hindi, U.S. Spanish and Brazilian Portuguese.

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Secure Data Open House

Research IT is happy to announce that campus has approved funding for the development of a new Secure Research Data and Compute (SRDC) Platform built for researchers working with highly sensitive data. The SRDC Platform will bring together High Performance Computing (HPC) nodes, virtual machines, and data storage in support of a wide range of research, disciplines, and workflows. 

You are invited to an open house about these activities in the D-Lab on Thursday, 11/7 from 3-4:30pm. 

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Introduction to Data Visualization in Python

For this workshop, we'll provide an introduction to visualization with Python. We'll cover visualization theory and plotting with Matplotlib and Seaborn, working through examples in a Jupyter (formerly IPython) notebook. The following plot types will be covered:

  • line
  • bar
  • scatter
  • boxplot

We'll also learn about styles and customizing plots.

Throughout the workshop, we'll discuss the plot types best suited for particular kinds of data.

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The Importance of Side Projects - or how I remind myself that I love R

Posted: Oct, 29, 2019

By: Ijeamaka Anyene

Those who are new to data science are recommended by data science blogs and data scientists to pursue side projects. These side projects should showcase your skill set and help you create a foundation for your portfolio. The job industry places a large emphasis on ones “research portfolio” as an important piece of landing a job. Despite this sound logic, I pursue side projects for different reasons.. 

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Introduction to NVivo

This workshop focuses on how to organize and code qualitative data in NVivo. The training will outline key decisions researchers must make in the coding process, as well as review how to start a new project and engage in basic tasks.

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Introduction to Dedoose

This workshop focuses on how to organize and code qualitative data in Dedoose. The training will outline key decisions researchers must make in the coding process, as well as review how to start a new project and engage in basic tasks.

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Introduction to Qualtrics

This workshop will introduce students to the basics of designing a survey instrument using the Qualtrics platform, such as randomization and survey flow. We will also cover more advanced topics like implementing embedded data and using javascript, as well as tips and tricks on how to use your design to maximize the number of quality responses you get.

The last hour of the workshop will be left open to allow for feedback on any existing designs on which participants are working.

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