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.
Data Analytics for Business Professionals with John Johnson
Learn how to use data analytics to make better business decisions and gain competitive advantage. This fast-paced introduction is ideal for managers, executives, and other business professionals.
1h 17m • COURSE
R for Excel Users with Conrad Carlberg
Update your data science skills by learning R. Learn how common data analysis and statistics operations are run in Excel vs. R and how to move data back and forth between each program.
1h 26m • COURSE
Logistic Regression in R and Excel with Conrad Carlberg
Learn how to perform logistic regression using R and Excel. This course shows how to process, analyze, and finalize forecasts and outcomes.
1h 37m • COURSE
Business Analytics: Data Reduction Techniques Using Excel and R with Conrad Carlberg
Learn how to carry out cluster analysis and principal components analysis using R, the open-source statistical computing software.
1h 2m • COURSE
Meta-analysis for Data Science and Business Analytics with Conrad Carlberg
Enhance your understanding of meta-analysis. Learn about raw mean differences—specifically for experimental and comparison groups—and how to convert useful outcome measures such as relative risk and odds ratios to commensurate measures of effect size.
49m 5s • COURSE
Business Analytics Foundations: Predictive, Prescriptive, and Experimental Analytics with Kumaran Ponnambalam
Learn about the stages in business analytics that are used to predict future events and improve business decision-making—predictive analytics, prescriptive analytics, and experimental analytics. Explore the tools, techniques, and best practices used for each stage.
42m 10s • COURSE
Business Analytics Foundations: Descriptive, Exploratory, and Explanatory Analytics with Kumaran Ponnambalam
Learn about the three types of data analytics used to analyze past business performance: descriptive, exploratory, and explanatory analytics.
42m 53s • COURSE
Business Analytics: Forecasting with Exponential Smoothing with Conrad Carlberg
Get an introduction to simple exponential smoothing, including how to assemble the forecast equation and optimize forecasts.
1h 5m • COURSE
Business Analytics: Forecasting with Seasonal Baseline Smoothing with Conrad Carlberg
Learn how to perform seasonal baseline smoothing with R and Excel and incorporate seasonal variation for more accurate and insightful forecasts.
49m 39s • COURSE
Business Analytics: Forecasting with Trended Baseline Smoothing with Conrad Carlberg
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.
1h 1m • COURSE
You'll learn powerful number-crunching skills with these experts.
John H. Johnson is a professional economist, expert witness, author, and speaker.
As president and CEO of Edgeworth Economics, he provides premier economic consulting services to clients around the world. Dr. Johnson is known internationally for his ability to explain highly sophisticated concepts in a simple, straightforward manner and brings this skill to his consulting, writing, and speaking. At Edgeworth, Dr. Johnson provides consulting and expert testimony for Fortune 100 clients, trade groups, and government agencies. In his litigation work, he guides companies and outside counsel on the appropriate use and interpretation of complex data sets, and has served as an expert witness in some of today's most high-stakes corporate lawsuits. On the business analytics side, Dr. Johnson helps companies translate their complex internal data sets into strategic, actionable information across a variety of business settings including human resources, finance, marketing, manufacturing, and business intelligence. Both aspects share the need to understand—and properly apply—large, complex sets of data. He applies this same skill to his writing and speaking, where he helps audiences avoid the most common pitfalls people make when confronted with data, so they can become more confident and discerning consumers of data and make better decisions in their professional and personal lives. Dr. Johnson is a frequent presenter on economic topics and the use of data, and co-author of EVERYDATA™: The Misinformation Hidden in the Little Data You Consume Every Day. He has also authored numerous papers across his areas of expertise. Dr. Johnson received a PhD in economics from the Massachusetts Institute of Technology and his BA in economics with Highest Distinction from the University of Rochester.
Conrad Carlberg is a writer and consultant specializing in quantitative and statistical analysis.
He has authored 15 books on using Microsoft Excel for quantitative analysis. He holds a PhD in statistics and has run a consulting business specializing in statistical analysis in the medical and financial fields since 1995.
Kumaran Ponnambalam has been working with data for more than 20 years.
He has built enterprise and cloud applications that ingest data to produce meaningful insights for its consumers. Data has always intrigued Kumaran and he has always searched for ways to mine, manage, and master it. Using analytics to solve business problems is his key interest domain. Of late, he has taken a keen interest in building quality courses for people to understand and use data. Big data analytics is fast growing, but quality education, especially in application areas, is lacking and he wants to contribute to it.