Become a Business Analytics Expert

Overview

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.

Syllabus

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.

Taught by

John H. Johnson, Conrad Carlberg, Conrad Carlberg, Conrad Carlberg, Conrad Carlberg, Kumaran Ponnambalam, Kumaran Ponnambalam, Conrad Carlberg, Conrad Carlberg and Conrad Carlberg