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Learn the basics of data analytics: using data for analysis and reporting. This beginner-level data science course is for anyone who works with data.
1h 39m • COURSE
Statistics Foundations: The Basics with Eddie Davila
Learn to understand your data using basics of statistics, such as defining the middle, mean, and median of your data set; measuring the standard deviation; and finding outliers.
30m 22s • COURSE
Statistics Foundations: 2 with Eddie Davila
Get practical, example-based learning of the intermediate skills associated with statistics: samples and sampling, confidence intervals, and hypothesis testing.
1h 56m • COURSE
Statistics Foundations: 3 with Eddie Davila
Complete your mastery of statistics. Get an advanced understanding of concepts such as t-distribution, degrees of freedom, chi-square testing, regression testing, and ANOVA.
1h 41m • COURSE
Financial Forecasting with Big Data with Michael McDonald
Quickly create financial forecasts using big data, predictive analytics, and Microsoft Excel.
1h 21m • COURSE
The Essential Elements of Predictive Analytics and Data Mining with Keith McCormick
Learn the basics of data mining and predictive analytics. Explore a real-world project, from defining the problem to putting the solution into practice; review CRISP-DM; and more.
1h 28m • COURSE
Predictive Customer Analytics with Kumaran Ponnambalam
Learn about the customer life cycle and how predictive analytics can improve the customer journey. Explore using predictive analytics to identify, attract, and retain customers.
1h 37m • COURSE
Excel: Economic Analysis and Data Analytics with Michael McDonald
Use big data to forecast economic trends. Find out how to perform regression analysis for economic forecasting using Microsoft Excel.
1h 37m • COURSE
Meta-analysis for Data Science and Business Analytics with Conrad Carlberg
Enhance your understanding of meta-analysis. Learn about raw mean differences and how to convert useful outcome measures to commensurate measures of effect size.
49m 5s • COURSE
You'll learn data analytics skills with these experts
Robin Hunt is a developer and educator focused on process development, data management, and custom workflows.
Robin loves to inspire people to "think something new" and has a passion for people and data. She actively seeks ways to engage in efforts that support her community and loves being an active part of the entrepreneurial and startup community that's growing in Birmingham, Alabama.
Robin has been thankful to have followed her entrepreneurial spirit and found a way to combine both her love for teaching and her technical skills as a developer. It's rare to find a developer who is also passionate about teaching or vice versa, but Robin seamlessly blends the two and gives her clients and students the best of both worlds. As a developer, she specializes in process development, data management, and customized workflow solutions. As an educator she loves all things social, data related, and searchable and analyzing them for better decision-making. You can learn more about Robin and her projects at LinkedIn.
Eddie Davila is the associate chair for the Supply Chain Management program at Arizona State University.In addition to serving as associate chair, Eddie is a principal lecturer for the highly ranked Supply Chain Management program in the W.P. Carey School of Business at Arizona State University. Eddie has taught over 30,000 students in person and millions more online via videos and digital textbooks. His digital content is used by both top-ranked universities and Fortune 500 companies around the world. He has also provided consulting services for companies in the energy, publishing, retail, technology, global health, and agriculture industries. Eddie likes to spend his spare time on a yoga mat.
Michael McDonald is a researcher and professor of finance at Fairfield University.
He has extensive programming skills in SAS, Stata, Python, R, and SQL, among other programming languages. His past work experience includes using these programming languages to analyze big data sets in finance and economics and develop trading strategies based on data mining. He has done extensive work in investment banking, at tech startups, hedge funds, and on a wide variety of consulting projects. He has a track record of authoring creative and practical course materials for a variety of subject areas across business disciplines.
Michael's core knowledge is focused on financial markets and investment decision-making. He has helped advise firms on capital investments, valuation issues, and capital allocation to enhance business strategy. He is the author of multiple research studies addressing complex questions across the finance discipline. Michael's work has been cited by the Wall Street Journal, Bloomberg, the CFA Institute, and many others.
Keith McCormick is an independent data miner, trainer, speaker, and author.
Keith is skilled at explaining complex methods to new users or decision makers at many levels of technical detail. He specializes in predictive models and segmentation analysis including classification trees, neural nets, general linear model, cluster analysis, and association rules.
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.
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.