Advanced Tools and Techniques for Data Analysis (Live Online)

This 2-day advanced analytics seminar will introduce you to predictive analytics techniques, so you can frame strategic and operational questions involving marketing, finance, and operations or other real-world business applications.In this hands-on course, you will cover a variety of analytics tools, such as histograms, ANOVA analysis, A/B testing, Pareto analysis, clustering, box plots, scatter diagrams, partitioning, unstructured text analysis, and multivariate regression analysis. Best of all, no background in statistics or programming is required. As long as you have a basic understanding of spreadsheets, you will learn how to manipulate complex data sets so you can gain insights that are not possible with common business intelligence techniques.What You Will LearnData analytics and business; working with dataWrangling, cleansing, and shaping data (data scraping)Using Google OpenRefineSelecting the right variables, KPIs, CSFs (data analysis)Becoming familiar with Excel’s Analysis Tool PackUtilizing multivariate statistics, T-Test, factor analysis, linear regression, and other advanced techniquesReviewing additional tools—JMP, Tableau, SPSS, RHow You Will BenefitGo above and beyond standard business intelligence analysis techniquesGet answers to complex data analysis questions without becoming a statistician  Learn which data analysis technique to use for various business problemsExtract the most meaningful results from large and small data sets and multiple data typesBecome familiar with basic text analysis tools and gain insights from unstructured text dataUse advanced analysis functions in Excel and open source toolsBuild on your basic understanding of spreadsheets to access powerful analytic techniquesImprove your business efficiency and effectivenessWho Should attendBusiness professionals looking for data analysis tools to solve complex problems such as customer churn, statistically valid web-page optimization, and social media/online customer feedback analysis.