## Learning for Citizen Data Scientists and Data Literacy Across the Enterprise!

So you want to transform your business users and encourage learning for Citizen Data Scientists to enable data literacy across your enterprise? If your business is like most, your average business user doesn’t know (or need to know) the details of sophisticated algorithms and analytical techniques. But, you DO want to encourage data literacy and provide your business users with the tools they need to perform analytics.

Business users do not have the time or the inclination to get lost in complex algorithms or endure the frustration of trying to decide what technique to use to analyze a particular type of data. Consider the myriad of techniques used by data scientists and analysts!

• Time Series Forecasting
• Holt-Winters Forecasting
• Exponential Smoothing
• Descriptive Statistics
• K-Means Clustering Algorithm
• Multinomial Logistic Regression
• ARIMA Forecasting
• Frequent Pattern Mining Algorithm
• Chi Square Test
• Decision Tree Analysis
• Outlier Analysis
• Support Vector Machine Algorithm
• SVM Algorithm
• Hierarchical Clustering Algorithm
• Karl Pearson Correlation
• ARIMAX Forecasting
• Linear Regression
• Paired Sample T Test
• Dependent Sample T-Test
• Binary Logistic Regression
• Spearman’s Rank Correlation
• Simple Random Sampling
• Stratified Random Sampling
• Independent Samples T Test
• Multiple Linear Regression
• K-Nearest Neighbors Algorithm
• KNN Classification
• Naive Bayes Classifier

These are just some of the possible choices for analytical work. But, the mere mention of these techniques may strike fear into the hearts of your users. What you want is a way for your users to compile the data they want to analyze and receive some guidance and recommendations on how best to analyze this data based on the data type and other factors. THEN, all the user has to do is let the system do the work for them, using the best technique and the analysis is complete!

Discover how easy it is to capitalize on Augmented Analytics and 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.