Augmented Analytics Learning Opportunities

Browse our educational presentations, and discover how Smarten can improve data literacy, support business users and help them to make the transition to Citizen Data Scientists. These learning opportunities provide information and education regarding predictive analytics and can assist the business and its users in leveraging and adopting advanced analytics in a way that will add value to the organization and its team members.

Predictive Analytics includes numerous types of algorithms and, while data scientists are skilled in choosing and executing these algorithms or analysis, the average business user does not have these skills. The learning opportunities provided here represent an important part of our support for business users. These presentations help users to understand the basic premise of a particular algorithm and how it works, as well as the type of use cases or scenario that would most benefit from application of this algorithm.

Algorithms, Analytical Methods and Techniques

Naïve Bayes Classification

See Our Article on this Topic: What is Naïve Bayes Classification and How is it Used for Enterprise Analysis?

Frequent Pattern Mining (Association)

See Our Article on this Topic: What is Frequent Pattern Mining (Association) and How Does it Support Business Analysis?

KNN Classification

See Our Article on this Topic: What is KNN Classification and How Can This Analysis Help an Enterprise?

Multiple Linear Regression

See Our Article on this Topic: What is Multiple Linear Regression and How Can it be Helpful for Business Analysis?

Simple Random Sampling and Stratified Random Sampling

See Our Article on this Topic: What Are Simple Random Sampling and Stratified Random Sampling Analytical Techniques?

Spearman's Rank Correlation

See Our Article on this Topic: What is Spearman's Rank Correlation and How is it Useful for Business Analysis?

Binary Logistic Regression Classification

See Our Article on this Topic: What is Binary Logistic Regression Classification and How is it Used in Analysis?

Paired Sample T Test

See Our Article on this Topic: What is the Paired Sample T Test and How is it Beneficial to Business Analysis?

ARIMAX Forecasting

See Our Article on this Topic: What is ARIMAX Forecasting and How is it Used for Enterprise Analysis?

Karl Pearson Correlation Analysis

See Our Article on this Topic: What is Karl Pearson Correlation Analysis and How Can it be Used for Enterprise Analysis Needs?

Hierarchical Clustering

See Our Article on this Topic: What is Hierarchical Clustering and How Can an Organization Use it to Analyze Data?

SVM Classification Analysis

See Our Article on this Topic: What is SVM Classification Analysis and How Can It Benefit Business Analytics?

Outlier Analysis

See Our Article on this Topic: What is Outlier Analysis and How Can It Improve Analysis?

Decision Tree Analysis

See Our Article on this Topic: What is the Decision Tree Analysis and How Does it Help a Business to Analyze Data?

Chi Square Test of Association

See Our Article on this Topic: What is the Chi Square Test of Association and How Can it be Used for Analysis?

ARIMA Forecasting

See Our Article on this Topic: What is ARIMA Forecasting and How Can it Be Used for Enterprise Analysis?

Multinomial-Logistic Regression Classification

See Our Article on this Topic: What is the Multinomial-Logistic Regression Classification Algorithm and How Does One Use it for Analysis?

KMeans Clustering Algorithm

See Our Article on this Topic: What is the KMeans Clustering Algorithm and How Does an Enterprise Use it to Analyze Data?

Trends and Patterns

See Our Article on this Topic: What Are Data Trends and Patterns, and How Do They Impact Business Decisions?

Discover how easy it is to capitalize on augmented analytics and assisted predictive modeling! Business Users are the lifeblood of the organization. Encourage data sharing and data literacy and give business users what they need to the best asset possible.

Explore our Webinar sessions for more information about the Smarten approach to Augmented Analytics and the benefits to your organization.

You can find other educational resources by browsing our Augmented Analytics Videos page.

For more detailed questions, we invite you to engage our support community or contact us.