Become a Business Analytics Expert

Are you already in, or pursuing, a career in business that centers on analytics? If you have a good grasp of statistics principles and are ready to focus on the concepts, tools, and techniques you'll need, then this learning path is for you.

• Plan business strategies by employing sound statistical methods.
• Develop quantifiable predictive models.
• Compare the effectiveness of available tools and techniques.

• Course 1: Data Analytics for Business Professionals
• Learn how to use data analytics to make better business decisions and gain competitive advantage. This fast-paced introduction is ideal for managers and executives.
• Course 2: R for Excel Users
• Update your data science skills by learning R. Learn how data analysis and statistics operations are run in Excel versus R and how to move data back and forth between each program.
• Course 3: Logistic Regression in R and Excel
• Learn how to perform logistic regression using R and Excel. This course shows how to process, analyze, and finalize forecasts and outcomes.
• Course 4: Business Analytics: Data Reduction Techniques Using Excel and R
• Learn how to carry out cluster analysis and principal components analysis using R, the open-source statistical computing software.
• Course 5: Meta-analysis for Data Science and Business Analytics
• Enhance your understanding of meta-analysis. Learn about raw mean differences and how to convert useful outcome measures to commensurate measures of effect size.
• Course 6: Business Analytics Foundations: Predictive, Prescriptive, and Experimental Analytics
• Learn about the stages in business analytics used to predict future events and improve decision-making: predictive analytics, prescriptive analytics, and experimental analytics.
• Course 7: Business Analytics Foundations: Descriptive, Exploratory, and Explanatory Analytics
• Learn about the three types of data analytics used to analyze past business performance: descriptive, exploratory, and explanatory analytics.
• Course 8: Business Analytics: Forecasting with Exponential Smoothing
• Get an introduction to simple exponential smoothing, including how to assemble the forecast equation and optimize forecasts.
• Course 9: Business Analytics: Forecasting with Seasonal Baseline Smoothing
• Learn how to perform seasonal baseline smoothing with R and Excel and incorporate seasonal variation for more accurate and insightful forecasts.
• Course 10: Business Analytics: Forecasting with Trended Baseline Smoothing
• Learn about a forecasting technique that recognizes and accounts for trends in a baseline, as well as how to run the trend forecast analysis in R.