Tools of Data Analysis

Dive into the toolbox of a data analyst. Master the techniques, software, and methodologies that transform raw data into insightful narratives. For those ready to sculpt mountains of data into masterpieces of insight.Course Duration:5 hoursCredits:CEU Credits: 0.5AMA PCM CEU Credits: 0PDU Credits: 5HRCI Credits: 5SHRM Credits: 5CFRE Credits: 0ATD CI Credits: 5ACE Credits: 0 Course Description There are a number of statistical tools and techniques that are commonly used by organizations to inform decision-making. These tools span numerous business functions and support many different objectives. This intermediate-level course describes, evaluates, and analyzes different statistical techniques and their real-world limitations and benefits. The course features crossover analysis, break-even analysis, cluster analysis, decision tree analysis as well as an introduction to regression. Learning Outcomes Describe linear programming as finding the "best" solution to a problem Explain how crossover analysis is utilized in decision making Explain the factors and assumptions involved in break-even analysis Apply the standard deviation rule to a special case of normal distributions Interpret the results of an ANOVA test Describe the various forecasting techniques and the benefits and limitations Identify regression analysis applications for purposes of description and prediction Describe other statistical techniques (time series analysis, cluster analysis, decision trees) and their real-world application Explain the advantages and disadvantages of various statistical techniques Choose a statistical technique based on a brief case study Testimonials Sumair K. It was a great course to understand tools of data analysis. Kathryn P. Very good and relevant examples throughout the course.