--- title: Introduction to Data Analysis description: This course will provide you with information you can use to better understand data and its importance in the business world. 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 [Introduction to Data Analysis](https://aspire.loyola.edu/products/2247071929#) ![product_image](https://aspire.loyola.edu/hubfs/ASPIRE%20Assets/Icons/Data%20Analytics%20and%20Management.png) # Introduction to Data Analysis #### $139 Start Today! [Add to cart](https://aspire-cart.loyola.edu/simple_order?catalogid=TC_ME_A_Int_to_Dat&quantity=1&return=https%3A%2F%2Faspire-cart.loyola.edu) #### [ Professional Credits: ](https://aspire.loyola.edu/credit_terminology?hsLang=en) CEU: 0.5 HRCI: 5 PDU: 5 SHRM: 5 #### $139 Start Today! [Add to cart](https://aspire-cart.loyola.edu/simple_order?catalogid=TC_ME_A_Int_to_Dat&quantity=1&return=https%3A%2F%2Faspire-cart.loyola.edu) ![](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 Professionals in all industries rely on data to make decisions. By including data in your decision-making process, you can remove some of the guesswork that comes from relying solely on instincts and experience. This course will introduce you to the world of data analysis by exploring the Davenport-Kim three-stage model for quantitative analysis. You will learn about different analytical methods, data quality and management, and visual representations of data. You will also explore research standards and best practices, as well as challenges that may arise as you analyze data. This course will provide you with information you can use to better understand data and its importance in the business world. | This* Introduction to Data Analysis** *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 value of analytics for an organization and define key terms related to data analysis - Explain the stages of the Davenport-Kim three-stage model for analysis - Describe different data collection methods - Differentiate between qualitative and quantitative data - Explain standard analytical techniques - Describe the characteristics of high-quality data - Describe the elements of data management - Identify possible biases and errors within a data set - Describe different graphical displays for a data set - Describe common challenges associated with data analysis #### 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 ** "This course has provided a good intro to Big Data and its practical uses in industry as well as different businesses." Mateen A. "The course really helped in refreshing my analytical concepts and is definitely going to help me in applying such concepts to my job role." Fatima S. "I had such an impactful experience as the course topic was simplified to my understanding and the platform is user-friendly. Thank you." Aswond S. #### 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://aspire-cart.loyola.edu/simple_order?catalogid=TC_ME_A_Int_to_Dat&quantity=1&return=https%3A%2F%2Faspire-cart.loyola.edu) ##### Option 2 Contact us to explore enrollment options, including potential discounts! [Contact Us](https://aspire.loyola.edu/individuals-contact-form?hsLang=en) ### $139 ##### Start Today! [Add to cart](https://aspire-cart.loyola.edu/simple_order?catalogid=TC_ME_A_Int_to_Dat&quantity=1&return=https%3A%2F%2Faspire-cart.loyola.edu)