To search, you can use Boolean operators capitalized such as AND, OR and NOT. Example: Title of Article AND Author Name
It is best not to use punctuation in the SearchEverything Box such as colons, semicolons and commas
You can use the wildcards ? or* but not as the first character of the search term or in a phrase search. Example: To find Olsen or Olson search for Ols?n. To find one or more characters within or at the end of a word use an *. Example: Ch*ter or Temp*
Proximity searches limit result sets to terms within a specified number of words from each other. Example: "cornering force"~5 finds cornering and force within 5 words of one another
On the left, under "Refine Your Search" you can limit to "Scholarly and Peer-Review" to find academic articles. You can also refine your results by content type and date.
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.
Subjects: Computer Science, Information Technology
Citations and abstracts only (no full-text) from 5,000 journals and conference proceedings in all engineering fields. Most comprehensive overall engineering database.
[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
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.
Google Scholar Button extension available in Chrome browser. Scholar Droid app on android.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Quickly learn the general programming principles and methods for Python, and then begin applying that knowledge to using Python in data science-related development.
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.
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!
