Data Mining in TIBCO® Data Science / Statistica™
Data Mining in TIBCO® Data Science / Statistica™ (SDM)
This training is an introduction to data mining with the TIBCO Statistica™ software. Data mining is particularly suitable when large and heterogeneous data sets are to be analysed. Participants receive an overview of how to use the software, the most important procedures and methods and learn how to carry out analyses themselves.
Inhalte
- Data Mining: Overview
- Forecasting models in Statistica
- Creating a model
- Comparing models
- Applying models (deployment)
- Unsupervised Learning
- Feature Selection
- Supervised Learning (Classification & Regression)
Typ
TIBCO Statistica™ is a comprehensive, established and easy-to-use data science application from TIBCO®. TIBCO Statistica™ is included as ‘TIBCO® Data Science - Statistica®’ in the ‘TIBCO® Data Science’ package. In the future, TIBCO Statistica™ will be available as ‘TIBCO® Data Science - Workbench®’.
Our Statistica training courses provide a systematic insight into the software, introducing individual components step by step and deepening the operation by means of exercises. Generally understandable data sets from different application areas serve as examples. In our training centre in Hamburg, a training PC is available for each participant to solve the tasks.
Our trainers address all questions of the participants and answer them at the appropriate point during the course of the training. The training documents are provided as PDF files. Participants receive all completed tasks and results at the end of the training.
Keywords
Alternating Least Squares, Association Rules, AUC, Boosted Trees, C&RT, CHAID, Cluster Analysis, Clustering, CRISP, Data Driven Evaluation, EM Clustering, Decision Trees, Error Costs, k-Means, K-Nearest Neighbors, Classification, Cross Validation, Artificial Neural Networks, Lasso Regression, Link Analysis, Logistic Regression, MARSplines, Model Application, Model Comparison, Naive Bayes, PMML, Pre-Processing, Random Forest, Recommendation, Regression, ROC, Sampling, Stratification, Support Vector Machines, Hit Rate, Supervised Learning, Unsupervised Learning, Shopping Cart Analysis
Vorraussetzungen
To fully benefit from the training, participants should have a basic knowledge of multivariate statistics.
Location
- Online: These training sessions offer maximum flexibility without the need to travel. All participants work on their own PCs. We recommend using two monitors for this purpose.
- Hamburg: With our training center in Hamburg, we provide a comfortable place for successful learning.
- At your premises: We conduct the training courses on your premises for you and your colleagues.
We offer all our training sessions in both German and English languages.
Duration: 2 days | Price: Total up to 6 participants: starting from EUR 3.900,-
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Sign up yourself and your team directly for this training:
After the registration request, the trainer will contact you directly and arrange the date personally.
Do you have questions about the content, the implementation or would you like an individually customized training? Contact us and speak directly with the responsible trainers without obligation. We are sure that we can help you!