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LinkedIn Learning

Become a Business Analytics Expert

via LinkedIn Learning Path

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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

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.

Courses

Taught by

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

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