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Our Principal Statistician has held post-doctoral positions at Cambridge University (England) and University of North Carolina at Chapel Hill before moving to the private sector in 1996. He has published more than 40 papers, many in top statistical journals, and presented at numerous conferences worldwide. Statistical Training and Seminars |
We offer cost-free technical support (up to 2 hours) to participants who need help with implementing the proprietary techniques reviewed during the workshops. Most of our techniques can be implemented at very low cost, without the need to purchase expensive statistical software. Even advanced concepts such as ridge regression are explained in simple English. Software engineers or product managers are welcome to attend. Source code and/or detailed algorithms are delivered to all participants. The number of participants is limited.
Please check our web anlytics seminar webpage for further details about pricing and upcoming events. Topics usually include state-of-the art patent pending technology for text mining, web mining, query intelligence, click scoring or fraud detection.
One day
After completing our training, you will be able to set up effective pay-per-click advertising campaigns with Google and Yahoo, and identify other potential high ROI publishers for your advertising needs. You will learn how to avoid click fraud and other pitfalls. You will also learn how to find and purchase keywords efficiently and benefit from other technologies that will provide you with a competitive advantage: automated word of mouth advertising and automated reverse word of mouth advertising. We also discuss other topics such as
Check our advertising seminar webpage for details.
Two hours, $195.
Automated downloads of historical stock price data. State-of-the-art pattern recognition for stock market data. Unusual patterns. Designing robust trading signals. Creating a black box with automated trades. Participants receive proprietary software with source code to process several hundred stocks and design efficient strategies with daily signals. Check our stock market seminar webpage for details.
One day, $795.
Robust multivariate regression with a proprietary algorithm, review of non linear techniques including logistic regression, clustering, density estimation and decision trees. Time series, censored data and detection of periodicity. Monte Carlo simulations to perform sophisticated statistical tests and compute confidence intervals for regression parameters. Application to extreme values and quality control (A/B testing). Pareto analysis. Re-sampling to perform robust one way or two way ANOVA with non Gaussian data. Model selection, data reduction, selection of variables, predictive modeling, robust statistics, outlier detection. Applications to real life marketing, finance and risk management problems. Participants receive proprietary software with source code for regression and Monte Carlo simulation.
One day, $595.
This course focuses exclusively on the state-of-the-art regression techniques developed by Data Shaping Solutions. Participants receive proprietary software with source code for regression and Monte Carlo simulation.
Four hours, $395.
Introduction to R and S-Plus. Palettes. Zip code data. Maps. Spatio-temporal data. Unlocking the meaning of complex multivariate data. Efficiently displaying several variables using palettes, color codes, fonts and symbols. Participants receive source code and zip code database to generate high quality maps.
Four hours, $395.
Efficient Ad-Hoc Techniques. Data reduction. Model selection and evaluation. Deriving powerful metrics from a set of initial categorical variables. Experimental design to build robust decision trees. Monte Carlo simulations and extreme values. Pareto analysis. Logistic regression applied to rank statistics and bin counts. Non linear discriminant analysis. Pattern recognition. Markov processes and survival time. Fast algorithms: design and optimization. Comparing SAS, Perl and C to process very large datasets. Efficient SAS code for large datasets. Applications: credit card fraud detection, stock trading systems, image analysis.
One day, $595.
Review of the protocol used to perform a statistical analysis and deliver useful and reliable results:
Writing a proposalWe will use an advanced regression analysis to illustrate the process. Participants receive proprietary software with source code for regression and Monte Carlo simulation.
Writing a requirement document or specifications
Identifying metrics of interest
Gathering, cleaning and merging datasets
Exploratory analysis, data reduction
Model selection, model testing, model fitting
Calibration
Model evaluation, sensitivity analysis
Presentation of results to management
Maintenance
Four hours, $395.
Tree boosting and tree forests. Algorithms to efficiently process thousands of features when dealing with very large data sets. Regression trees. Trees with embedded logistic regression. Tree growing.
Four hours, $595.