Commemorating Love Data Week 2021

Love Data Week is an annual event promoted by research data specialists across the United States and around the world. Attend one of our free workshops or check out one or more CSUMB library books and ebooks on data skills, data visualization, and data analysis programs.

Open to students, staff, and faculty. All student workshop attendees provided with a Certificate of Completion. Check with your instructor to verify a workshop qualifies as extra-credit for your class.

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Analyzing Qualitative Data (text) Using SAS-Enterprise Miner.

Monday, 2/8/21, 10:00—11:00

Pre-requisite: Email instructor at mabouzahra@csumb.edu for zoom session link and SAS program link.

Need to analyze large volumes of text? Whether you’re a student, researcher, or professional conducting social media research, marketing research, or some other text-heavy analysis, this workshop will take you through the steps necessary to analyze textual data using the free (for academics) cloud-based program SAS Enterprise Miner—no software download necessary.

Instructor: Assistant Professor Mohamed Abouzahra, College of Business

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Introduction to a Free Alternative for SPSS

Tuesday, 2/9/21, 10:00—11:00 am

Statistical Package for Social Sciences (SPSS) is one of the most user-friendly statistical software programs available for researchers. However, SPSS is not free. In this workshop, we will introduce an alternative program that is free, PSPP. You will learn about the PSPP environment for data management and basic data analysis (descriptive statistics), including data structure and output interpretation. No prior experience required.

Session link (active 2/9/21 at 9:45 am): https://csumb.zoom.us/j/738254720

Instructor: Assistant Professor Meng-Han Tsai, Department of Health, Human Services and Public Policy

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Searching for Data and Statistics: Tools and Techniques

Wednesday, 2/10/21, 4:00—5:00 pm

Join us as we first define the difference between statistics and data, then take a look at some standard statistical sources as well as a few popular data sets. We will also touch on a couple of useful data and statistical search strategies.

Session link (active 2/10/21 at 3:45 pm): https://csumb.zoom.us/j/738254720

Instructor: Senior Assistant Librarian Stephen Fadel, CSUMB Library

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Making your Projects Reproducible Using R Markdown

Thursday, 2/11/21, 4:00—5:00 pm

Whether you use R, SAS, or Python, it is possible to use R Markdown to generate a reproducible report that is easily updated, formatted, and shared. We will go through the basics of getting started with R Markdown. To get started, create a FREE account on RStudio Cloud (https://rstudio.cloud/) before Thursday. No R experience necessary!

Session link: < https://csumb.zoom.us/j/81907423853 >, Meeting ID: 819 0742 3853

Instructor: Professor Judith Canner, Mathematics and Statistics Department
Here is a collection of titles available through the CSUMB library. Print books are available for library curbside pickup or mailing for those beyond 25 miles of the CSUMB campus. For more information, see "How do I get books and other materials from the library during the COVID-19 remote learning semester?" Ebooks should be available online.

Data skills

Click on book cover for more info.

The Art of Statistics: Learning from Data (2019, print)

Confident Data Skills: Master the Fundamentals of Working with Data and Supercharge your Career (2015, print)

Critical Statistics: Seeing Beyond the Headlines (2019, print)

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The Chicago Guide to Writing About Numbers (2015, print)

Damned Lies and Statistics : Untangling Numbers from the Media, Politicians, and Activists (2001-print, 2012-online)

Data Literacy: A User's Guide (2016, print)

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A Field Guide to Lies: Critical Thinking in the Information Age (2016, print)

A General Introduction to Data Analytics (2019, online)

An Introduction to Data: Everything You Need to Know About AI, Big Data and Data Science (2019, online)

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Millions, Billions, Zillions: Defending Yourself in a World of too Many Numbers (2018, print)

More Damned Lies and Statistics: How Numbers Confuse Public Issues (2004, print and online)

Statistics Done Wrong: The Woefully Complete Guide (2015, online)

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Stat-Spotting: a Field Guide to Identifying Dubious Data (2013-online, 2008-print)

Thinking Through Statistics (2018, print)

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Data analysis programs

Click on book cover for more info. For additional titles, click on name of data software program.

Excel

Excel 2019 Bible (2019, online)

Excel Data Analysis for Dummies (2019, online)

Microsoft Excel 2019 formulas and functions (2019, online)

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Google Data Studio

Google Data Studio for Beginners: Start Making Your Data Actionable (2021, online)

Hands on with Google Data Studio: a data citizens survival guide (2020, online)

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NVivo

Qualitative Data Analysis with NVivo (2019, print)

Using NVivo in Qualitative Research (2019, online)

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R

Learn RStudio IDE: Quick, Effective, and Productive Data Science (2019, print)

Practical R4: Applying R to Data Manipulation, Processing and Integration (2020, online)

R graphics Cookbook: Practical Recipes for Visualizing Data (2018, print and online)

Statistics with R: A Beginner's Guide (2018, print)

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SAS

A Gentle Introduction to Statistics Using SASⓇ Studio (2019, online)

Learn Data Science Using SAS Studio: A Quick-Start Guide (2020, online)

SAS Essentials : Mastering SAS for Data Analytics (2016, online)

SAS for R users: a book for budding data scientists (2020, online)

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SPSS

An Easyguide to Research Design and SPSS (2019, print)

IBM SPSS Statistics 26 Step by Step: A Simple Guide and Reference (2020, print)

SPSS Statistics for Data Analysis and Visualization (2017, online)

SPSS Statistics For Dummies (2020, online)

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Stata

Applied Statistics Using STATA: A Guide for the Social Sciences (2017, print)

Using Stata for quantitative analysis (2015, print)

A Gentle Introduction to Stata (2018, print)

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Tableau

Innovative Tableau: 100 More Tips, Tutorials, and Strategies (2020, online)

Prepare your Data for Tableau: A Practical Guide to the Tableau Data Prep Tool (2020, online)

Tableau for Dummies (2016, online)

Visual Data Storytelling with TABLEAU (2018, print and online)

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Visualizing data

Click on book cover for more info.

Data Visualization: Charts, Maps and Interactive Graphics (2019, print)

Data Visualization for Success: Interviews with 40 Experienced Designers (2017, print)

Data Visualization: Volumes 1 & 2 (2017, online)

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The Data Visualization Workshop: An Interactive Approach to Learning Data Visualization (2020, online)

Effective Data Visualization: The Right Chart for the Right Data (2019, print)

Info We Trust: How to Inspire the World with Data (2019, print)

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Making Data Visual: A Practical Guide to Using Visualization for Insight (2018, online)

Playful Data: Graphic Design and Illustration for Infographics (2018, print)

Storytelling With Data: Let's Practice! (2020, online)

Commemorating Love Data Week 2021

Analyzing Qualitative Data (text) Using SAS-Enterprise Miner.

Introduction to a Free Alternative for SPSS

Searching for Data and Statistics: Tools and Techniques

Making your Projects Reproducible Using R Markdown

Data skills

Data analysis programs

Visualizing data

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