Free Online Course: Become a Business Analytics Expert provided by LinkedIn Learning is a comprehensive online course. The course is taught in English and is free of charge. Upon completion of the course, you can receive an e-certificate from LinkedIn Learning. Become a Business Analytics Expert is taught by John H. Johnson, Conrad Carlberg, Helen Wall and Kumaran Ponnambalam.
27th, Oct 2022
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.
Courses under this program:
Course 1: Data Analytics for Business Professionals
-Learn how to use data analytics to make better decisions and gain competitive advantage as a business professional.
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: Machine Learning with Logistic Regression in Excel, R, and Power BI
-Learn how to perform logistic regression using R and Excel and use Power BI to integrate these methods into a scalable, sharable model.
Course 4: Machine Learning with Data Reduction in Excel, R, and Power BI
-Explore data reduction techniques from machine learning and how to integrate your methods in Excel, R, and Power BI.
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.
