Instructor Led Competitive Intelligence Training

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Competitive Intelligence Training Seminars and Classes
From Statistics & Analytics Consultants Group
Introduction to Surveys (Online) instructor led trainingon-line e-learning cbt (computer based)group study and discussioncomputer lab This course is an introduction to survey design, methodology, implementation and execution. The course will also go through questionnaire design/ writing, sample design, data collection strategies, multivariate analyses, and presentation of tables/ graphs. For more information contact us directly. Our courses are offered in three formats a resident course at our office, a corporate course on  more...
Research and Statistics Training Courses We offer a variety of courses to ensure that your company can compete on analytics. Our courses offer basic applied understanding of statistical concepts and methods involved in carrying out and interpreting research to advanced modeling. Current Courses: Applied Marketing Statistics Introduction Course Applied Business Research Course Intermediate Statistical Modeling for Marketing Survey  more...
Data Mining for CRM using STATISTICA Data Miner This course introduces you to the area of customer relationship management (CRM) and the STATISTICA Data Mining10. 0 interface. You are introduced to the different learning methods of parametric statistical analysis and data mining analysis, and introduced to the practice of combining several modeling algorithms (ensembles) to predict customer responses. The methodological emphasis of this course  more...
Data Mining for CRM using SAS-Enterprise Miner Data Mining for CRM using SAS-Enterprise Miner This course introduces you to the application area of customer relationship management (CRM) and the SAS-Enterprise Miner 6. 2 interface. Differences between the pattern learning approaches of parametric statistical analysis and data mining are presented and compared. Groups of algorithms are combined to form "ensembles" for more powerful  more...
Data Manipulation Techniques Using a popular statistical software package you will learn basic data manipulation tasks such as: Bringing in different types of files (SPSS, SAS, txt, dat., excel, use the ODBC, etc); Clean data and address such issues as missing data, duplicate entries, outliers; Reshaping, aggregating, merging data; Performing such tasks as looping, vectors, beginning automations with macros specific to data  more...
Introduction to Statistics Using Common Software Packages This course measurably increases your ability to interpret, conduct, & write comprehensive marketing reports using statistics while training using Popular Statistics software. The primary goal of the course is to be able to determine which analysis is appropriate given the question and type of data given. The course will focus on pragmatic business applications, interpretations, presentation, and  more...
From Evans Analytics
Data Manipulation Techniques instructor led trainingon-line e-learning cbt (computer based) Using a popular statistical software package you will learn basic data manipulation tasks such as: Bringing in different types of files (SPSS, SAS, txt, dat., excel, use the ODBC, etc); Clean data and address such issues as missing data, duplicate entries, outliers; Reshaping, aggregating, merging data; Performing such tasks as looping, vectors, beginning automations with macros specific to data  more...
Data Integration for Data Mining with Talend Open Studio OS instructor led trainingon-line e-learning cbt (computer based) Data Integration for Data Mining with Talend Open Studio (OS) This course covers the many data integration procedures necessary to create a Customer Analytic Record (CAR) suitable for data mining operations. Talend OS is an Open Source tool; the client version is available for free download. The Talend company charges for the client/ server version of the tool and any support required for its  more...
Data Mining for CRM using SAS-Enterprise Miner instructor led trainingon-line e-learning cbt (computer based) This course introduces you to the application area of customer relationship management (CRM) and the SAS-Enterprise Miner 6. 2 interface. Differences between the pattern learning approaches of parametric statistical analysis and data mining are presented and compared. Groups of algorithms are combined to form "ensembles" for more powerful prediction of customer response patterns. Customer behavior  more...
Introduction to Statistics Using Common Software Packages instructor led trainingon-line e-learning cbt (computer based) This course measurably increases your ability to interpret, conduct, & write comprehensive marketing reports using statistics while training using Popular Statistics software. The primary goal of the course is to be able to determine which analysis is appropriate given the question and type of data given. The course will focus on pragmatic business applications, interpretations, presentation, and  more...
Data Mining for CRM using STATISTICA Data Miner instructor led trainingon-line e-learning cbt (computer based) This course introduces you to the area of customer relationship management (CRM) and the STATISTICA Data Mining10. 0 interface. You are introduced to the different learning methods of parametric statistical analysis and data mining analysis, and introduced to the practice of combining several modeling algorithms (ensembles) to predict customer responses. The methodological emphasis of this course  more...
From Parameter Security
Certified Ethical Hacker Certification CEH ...reation * Conduct penetration testing, footprinting, competitive intelligence, network sniffing, social engineering and more * Walk away with an in-depth understanding of offensive security, hands-on hacking experiencing and best practices to implement immediately Why Hacker U from Parameter Security? The reason people choose Parameter Securitya ™s Hacker University is our  more...
From Coddel - QFD training, workshops and projects
MARKETING and Business Development Innovation instructor led traininggroup study and discussion ...oning practice e. Market attractivness investigation f. Competitive intelligence g. Prioritisation (methods and tools) of the business/ market development projects 3. Market Attack Planning and Execution a. From Market Attractiveness Investigation to solid Market Attack plan b. Effective market investigation Voice of Customer (VOC) c. Business value definition and the business growth  more...
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