Learn How to Analyze Data and Real Case Problems Using the Powerful Tool of Excel
This course will illustrate data analytics with Excel using fundamental statistical concepts (i.e., descriptive statistics, statistical inference, and regression analysis). In so doing, it offers students a jumping-off point into the world of visualizations and data-driven decision-making from a one-stop-shop software solution. Participants will become adept at tools such as Pivot Tables, the Data Analysis Toolpak, the VLOOKUP, and other formulas which are relevant and applicable to today's vast enterprises and business endeavors.
Benefits of our Excel Analytics Course
There are many benefits of taking our Excel analytics course, but most participants highlight the following:
Save time and increase productivity
Learn to organize data easily
Handle small and big data better
Sharpen your ability to identify trends
Potential to improve salary
Expand job prospects
Sharpen your overall skillset
Participants in our Essentials of Analytics in Excel course can expect the following outcomes:
- Navigate Excel's functions and formulas most often used in data/business analytics
- Create tables and charts on the fly/ad hoc
- Formulate and test hypotheses about a population mean and/or a population proportion
- Identify linear relationships in data and produce regression models
Number of Units: 2.0 graduate level extension credit(s) in semester hours
Who Should Attend: This course provides continuing education for working professionals who have completed at a minimum a bachelor's degree or are currently enrolled in a degree program, including financial/data and/or business analysts, accountants, client relationship managers, and account managers from a wide variety of industries. Anyone interested in data analytics is also welcome.
- Required Text, Essentials of Modern Business Statistics with Microsoft Excel, 8th edition by David Anderson, Dennis Sweeney, Thomas Williams, Jeffrey Camm and James Cochran available at Amazon.com or your local bookstore
- Optional, Recommended Text, Excel Statistics: A Quick Guide, 3rd edition by Neil Salkind available at Amazon.com or your local bookstore
- Microsoft Excel (for analysis)
Job Market and Career Outlook
Proficiency in Excel, especially in the world of data science and data analytics, is a highly sought after skill that is often required for advancement in the field. A joint study by Capital One and Burning Glass Technologies stated that advanced digital skills — like Excel analytics — are required for 82% of middle-skill positions, and those with advanced knowledge, on average, work in higher-paying jobs. This same study found that Excel analytics proficiency increases the likelihood of promotions by 12% on average.
Employers are seeking out professionals with a strong Excel analytics skill set for a wide range of jobs. Here are some of the higher paying and growing fields that value an Excel background.
Q: Do courses need to be taken in sequence?
A: Yes, and this is the first course in the certificate sequence. However, you do not have to pursue the certificate and can take individual courses.
Q: How long are courses?
A: Courses take 7 weeks to complete.
Q: Are there textbooks required?
A: There is a required text and an optional text. The required textbook, Essentials of Modern Business Statistics with Microsoft Excel, 8th edition by David Anderson, Dennis Sweeney, Thomas Williams, Jeffrey Camm and James Cochran, is available at Amazon.com or your local bookstore. The optional, but recommended reading is Excel Statistics: A Quick Guide, 3rd edition by Neil Salkind, also available at Amazon.com or your local bookstore.
Q: Can I take more than one course at a time?
A: No, classes must be taken one at a time, in sequence.
USD is accredited by the Western Associate of Schools and Colleges (WASC).
This is the first of four courses in the Data Analytics and Visualization Certificate. Courses must be taken in order.
A Bachelor's degree or currently in a bachelor's program, with a basic mathematics background preferred, with at least one course, preferably, in basic statistics taken at the college level.
Applies Towards the Following Certificate(s), Professional Programs and Series
- Data Analytics and Visualization Certificate : Required Courses - Start with DAV-X800 and continue in order