LibGuides: Library Resources Guide For Kettering University Online: Data Science + Data Analytics Resources

SearchEverything Box - Begin Your Research Here!

The SearchEverything box on our homepage is your gateway to articles, books, journals, and databases, searching over 95% of the library's resources in one location.

Tips for a successful search:

Use AND, OR, and NOT to expand and contract your search results. ex: automation AND Germany.
Use the * symbol to search different forms of a word. ex: engineer* also searches engineers, engineering, etc.
Use filters on the results page, such as "full text online," "peer-reviewed," and "publication date" to narrow results.
Don't copy/paste full citations - remove all punctuation or use the citation search tab at the top of the page.

Data Science + Data Analytics Databases

ACM Digital Library [Assoc. for Computing Machinery] This link opens in a new window
Contains every article published by ACM in two distinct collections: The ACM Guide to Computing Literature, which contains citations/abstracts only, and The ACM Full-Text Collection, which is full text. We also have access to the the ACM Collection I and Collection II eBook packages.

Click here for Database Tutorial made by KU Librarians.
Subjects: Computer Science, Information Technology
Engineering Village—Compendex This link opens in a new window
Citations and abstracts only (no full-text) from 5,000 journals and conference proceedings in all engineering fields. Most comprehensive overall engineering database.

Click here for Database Tutorial made by KU Librarians.
[1969 to present] Subjects: nuclear technology, transportation, civil engineering, materials engineering, aerospace engineering, bioengineering, chemical and process engineering control, mechanical engineering, petroleum engineering, automotive engineering
Google Scholar This link opens in a new window
Some full text. A simple way to broadly search for scholarly literature, including articles, theses, books, abstracts and court opinions, from academic publishers, professional societies, online repositories, and universities. Note: In Settings > Library Links there is the ability to add “Kettering University” so if we have the full text you’ll be able to click through to our holdings.

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Google Scholar Button extension available in Chrome browser. Scholar Droid app on android.
IEEE Xplore [Institute of Electrical and Electronics Engineers] This link opens in a new window
Mostly full text. A resource for discovery and access to scientific and technical content published by the IEEE (Institute of Electrical and Electronics Engineers) and its publishing partners. To limit to full text: Advanced Search > Content Filter > My Subscribed Content.

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Subjects: Engineering, Aerospace, Communication, Networking, Broadcasting, Circuits, Computing & Processing, Robotics, Transportation, Photonics & Electro-optics, Electromagnets
[1998 to present]
Journal List A-Z This link opens in a new window
A searchable title list of all full text online journals available at Kettering University. Where to search if Kettering subscribes to the full text content of a specific journal, or to browse our full text offerings by journal title.

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LinkedIn Learning This link opens in a new window
LinkedIn Learning, formerly Lynda.com, offers thousands of courses taught by industry experts in software, creative, and business skills. LinkedIn Learning is a leading online learning platform that helps anyone learn business, software, technology and creative skills to achieve personal and professional goals. Through individual, corporate, academic and government subscriptions, members have access to the LinkedIn Learning Online Courses video library of engaging, top-quality courses taught by recognized industry experts.

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Statista Statistics Portal This link opens in a new window
Provides direct access to quantitative data (statistics, forecasts, studies, dossiers and industry reports) on media, business, finance, politics, and a wide variety of other areas of interest or markets. Includes current infographics and many links to original full text reports.

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Subjects: Business, Finance, Marketing, Media, Politics
Web of Science This link opens in a new window
Citations only (no full text) with article linker to full text within Kettering’s subscribed content. Access to the world’s leading scholarly literature in the sciences, with complete cited reference searching and citation mapping.

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Subjects: Sciences—Material, Chemistry, Physics, Neuroscience, Medicine, Engineering, Geosciences, Math, Computers, Energy, Biology, Food Science, Veterinary, Information Science, Management, Astronomy, Psychiatry, Optics

ALL DATABASES

LinkedIn Learning - Data Science + Data Analytics

Become A Data Analyst
Data analysts examine information using data analysis tools and help their teams develop insights and business strategies. You’ll need skills in math, statistics, communications, and working with tools designed to do data analytics and data visualization. Explore this high-demand career.
Become A Data Scientist
Whether you're working in IT or simply have an interest in entering the exciting field, this learning path will support you in developing a career in data science. Learn about the fundamental stages of data science work, from Statistics and Systems Engineering to Data Mining and Machine Learning.
Become A Data Visualization Specialist: Tools
After mastering the mission-critical skills covered in the Become a Data Visualization Specialist: Concepts learning path, discover how to get the most out of three top visualization and analytics tool sets: Tableau, open-source JavaScript libraries D3.js and dc.js, and Processing.
Become A Machine Learning Specialist
Are you ready to take a deeper dive into mastering the concepts and techniques involved in machine learning? This learning path shows how machine learning algorithms work and how to design them yourself. There's a lot to learn in this rapidly growing (and highly recuited-for) field, and these courses will give you an extremely solid skill set.
Build Your Data Analyst Skills
Learn how to think about data, recognizing the questions to ask to get the right data. Identify the tools you need, including Microsoft Excel, Access, Power BI, and more. Understand the key components of data visualization that will help you communicate more strategically with data.
Build Your Tableau Skills
Tableau is a widely used data analytics and visualization tool. In this learning path, you can find out how to sort, compare, and analyze data from multiple sources. Plus, learn how to create compelling dashboards that represent the data you want to showcase.
Master Advanced Excel Data & Analytics Skills
Take your Excel data science skills to an advanced level. As data strategies become more pervasive, Excel will become even more popular for non-data scientists doing more work, more often, with data. This learning path extends the Master Excel for Data Science learning path, into VBA coding, data viz, and advanced interfacing between Excel and R.
Master Python For Data Science
Quickly learn the general programming principles and methods for Python, and then begin applying that knowledge to using Python in data science-related development.
Master R For Data Science
Learn the most popular data-science-specific language: R! This learning path provides a strong foundation of skills and knowledge on which to build your coding resume.
Master SQL For Data Science
SQL database skills are consistently among the most sought after in the world of data science. Master the skills needed for data science project specialists, and develop a solid foundation of knowledge for working with SQL engineers.

See all 16,000+ online courses taught by real-world professionals.in the areas of business, creative and technology!