--- title: Data Analysis in the Real World description: Explore data-driven decision-making across sectors such as healthcare, education, and government. Get insights and recommendations based on data analytics. image: https://aspire.loyola.edu/hubfs/ASPIRE%20Assets/Icons/Data%20Analytics%20and%20Management.png --- [Home](https://aspire.loyola.edu/?hsLang=en) [Categories](https://aspire.loyola.edu/products?hsLang=en) Data Science and Technology [Data Analysis in the Real World](https://aspire.loyola.edu/products/2247079711#) ![product_image](https://aspire.loyola.edu/hubfs/ASPIRE%20Assets/Icons/Data%20Analytics%20and%20Management.png) # Data Analysis in the Real World #### $129 Start Today! [Add to cart](https://catalog.mindedge.com/loyola/courses/1498fcd4-e641-4032-b873-be2b2c24fdae/data-analysis-in-the-real-world?mode=purchase) #### [ Professional Credits: ](https://aspire.loyola.edu/credit_terminology?hsLang=en) CEU: 0.5 ATD CI: 5 HRCI: 5 SHRM: 5 #### $129 Start Today! [Add to cart](https://catalog.mindedge.com/loyola/courses/1498fcd4-e641-4032-b873-be2b2c24fdae/data-analysis-in-the-real-world?mode=purchase) ![](https://aspire.loyola.edu/hubfs/ASPIRE%20Assets/Icons/Completion.png) Completion Time 5 hours ![](https://aspire.loyola.edu/hubfs/ASPIRE%20Assets/Icons/Access%20time.png) Access Time 90 Days ![](https://aspire.loyola.edu/hubfs/ASPIRE%20Assets/Icons/Outcome.png) Outcome Individual Skill Course ![](https://aspire.loyola.edu/hubfs/ASPIRE%20Assets/Icons/Language.png) Language English ![](https://aspire.loyola.edu/hubfs/ASPIRE%20Assets/Icons/Training%20level.png) Training Level Beginner #### Delivery Information: Online Asynchronous Self-paced #### Description This course discusses data-driven decision making across a variety of sectors such as healthcare, education, and government. This training course also offers recommendations for decision-making based on data analytics for each sector. The course will begin with an introduction of Big Data, then continue into a deeper dive on its implications within each sector. This  *Data Analysis in the Real World *course is offered in collaboration with the trusted learning partner MindEdge. #### Learning Outcomes After completing this course, the learner should be able to: - Explain the management implications of the use of business intelligence and knowledge management systems - Define Big Data and describe its current uses for analysis and future potential and its implications - Explain common analytics for business and quality improvement - Recommend manufacturing business decisions based on data analytics - Explain common analytics used in health care - Recommend health care decisions based on data analytics - Explain common analytics used in education - Recommend educational decisions based in data analytics - Explain common analytics used in government - Recommend governmental decisions based on data analytics #### Additional Information ** This course includes an “Ask the Expert” feature. You can use this feature to submit questions about course content. A subject matter expert will provide guidance or point you to additional resources for the topics you’re studying. Questions are answered as quickly as possible and usually within 24 hours. Learners must achieve an average test score of at least 70% to meet the minimum successful completion requirement and qualify to receive IACET CEUs. #### Requirements ** ##### Technology Requirements Hardware Requirements: This course can be taken on either a PC, Mac, or Chromebook. Software Requirements: Software must be installed and fully operational before the course begins. - PC: Windows 8 or later. - Mac: macOS 10.6 or later. - Browser: The latest version of Google Chrome or Mozilla Firefox are preferred. Microsoft Edge and Safari are also compatible. Cookies and JavaScript must be enabled - The latest Adobe Reader/Acrobat Reader ( free download available at https://get.adobe.com/reader/ ) - Any modern Office suite: Microsoft Office, Apple iWork, OpenOffice, or LibreOffice Other: - Reliable internet connection. Broadband cable or highspeed DSL is recommended for optimal experience. - E-mail account (to be able to register and to receive e-mail from the course system regarding registration, course status, etc.) #### Reviews ** "Good course. Explained a lot of information that I have used or been exposed to but didn't really know about, just knew how to use." Shon H. "Knowing how to extract information from a data warehouse is really beneficial and important." Reda B. "This course applied directly to my job and positions in which I am interested. Thank you!" Sara H. #### Enroll My Team ** Are you looking to enroll your team in this training Course? You Can: ##### Option 1 Click "Add to Cart" and then update the number of seats you'd like to purchase in yout cart. [Add to Cart](https://catalog.mindedge.com/loyola/courses/1498fcd4-e641-4032-b873-be2b2c24fdae/data-analysis-in-the-real-world?mode=purchase) ##### Option 2 Contact us to explore enrollment options, including potential discounts! [Contact Us](https://aspire.loyola.edu/individuals-contact-form?hsLang=en) ### $129 ##### Start Today! [Add to cart](https://catalog.mindedge.com/loyola/courses/1498fcd4-e641-4032-b873-be2b2c24fdae/data-analysis-in-the-real-world?mode=purchase)