SQL Fundamentals - SQL for Data Analysis and Database DesignIn this learning path, which uses a combination of lecture and exercises, your host, Thomas Nield, guides you through SQL fundamentals and database design. You’ll explore the role of relational databases such as Oracle and MySQL, and you’ll examine the overall data technology environment. Designed for people with a fundamental understanding of data analysis with tools such as Excel (knowing how to use formulas would be helpful) as well as those with advanced skills in data science and programming. (4 h 39 min)
Data VisualizationVisualizing data is often the best—or only—way to understand it. Data visualization is in demand, and having this highly employable skillset helps you empower your audience—whether that’s consumers or internal customers—to interpret, explore, understand, and interrogate data. n this Learning Path, you’ll learn about the principles and practice of data visualization, as well as the hands-on technical skills you need to implement your creations.
Python for Data AnalyticsIf you want to take your Python skills to the next level and perform data analysis, this practical, hands-on learning path will show you how to do vital tasks such as: choosing the correct analytic model for your analytics job; parsing, cleaning and analyzing data using the Python Pandas library; and basic techniques to visualize and present complex data with confidence. (7 h 45 min)
This guide explores all topics related Data Analytics topics. Use the links at the left to explore the selected library resources. Contact the library for help with research on data analytics topics.
Books on Campus
Data Visualization for Dummies by Mico Yuk; Stephanie DiamondA straightforward, full-color guide to showcasing data so your audience can see what you mean, not just read about it Big data is big news! Every company, industry, not-for-profit, and government agency wants and needs to analyze and leverage datasets that can quickly become ponderously large. Data visualization software enables different industries to present information in ways that are memorable and relevant to their mission. This full-color guide introduces you to a variety of ways to handle and synthesize data in much more interesting ways than mere columns and rows of numbers. Learn meaningful ways to show trending and relationships, how to convey complex data in a clear, concise diagram, ways to create eye-catching visualizations, and much more! Effective data analysis involves learning how to synthesize data, especially big data, into a story and present that story in a way that resonates with the audience This full-color guide shows you how to analyze large amounts of data, communicate complex data in a meaningful way, and quickly slice data into various views Explains how to automate redundant reporting and analyses, create eye-catching visualizations, and use statistical graphics and thematic cartography Enables you to present vast amounts of data in ways that won't overwhelm your audience Part technical manual and part analytical guidebook, Data Visualization For Dummies is the perfect tool for transforming dull tables and charts into high-impact visuals your audience will notice...and remember.