Creascience has established a strong reputation for the development of innovative training methods and creative knowledge transfer thinking. Whether you attend a public or an in-house session, our courses are designed to maximize learning and increase self-sufficiency in the use of statistical methods. A variety of proven strategies are used to achieve this goal, making our classes unique in many regards:
You have questions to ask ? We make sure that there is enough time to address them. This is why class size is limited to 8 people per session. Moreover, for hands-on sessions, we lower this ratio to one instructor for every 6 participants to ensure the personalized follow-up of everyone.
- Training Programs Adapted to the Duration of the Session
It is unrealistic to think that participants will grasp all subtleties of complex methods in a day or two. Therefore, during our courses, we make sure that participants fully understand the fundamental concepts underlying the methods so that they can both correctly use the methods and interpret the results, and also they have the tools needed to further explore advanced topics by themselves. Another key element is to make sure that the material covered is homogeneous. We believe that trying to cover too many different topics within a given session will only result in information overload and efficiency of the training will be greatly reduced!
- Critical Presentation of Methods
All statistical methods may not be used in all situations and many recent techniques have limitations that users need to be aware of. To avoid misuse and misinterpretation, such limitations are emphasized during our sessions. On the other hand, when a covered technique is particularly relevant compared to others, we also point it out. Finally, when alternative methods are preferred, they are mentioned along with their advantages and drawbacks.
- Descriptive Examples Instead of Equations
For most statistical techniques, mathematical theory is not the best way to help participants understand the conditions of use and the interpretation of results. The underlying statistical theories of each technique are touched on just enough to keep participants out of trouble without overwhelming them with equations. Our teaching modules are geared toward non-technical presentations using applications taken from a variety of fields. These are used to explain how methods work as well as problem likely to be encountered in practice and remedial measures.
- Varied Case Studies and Exercices
Fundamental concepts covered in the session are deepened by exercises and case studies chosen for their relevance and integration in the teaching sequence. All sessions include group discussions on specific problems, multiple choice questions, interpretation of software output and hands-on applications.
- Instructors Share Their Experience and Insights
Instructors possess several years of experience using the techniques that they teach. They share this experience with participants to provide them with insights regarding practical aspects, pitfalls and creative applications. To further enhance the learning experience, real-life case studies taken from their practice are used to illustrate the scope and the limitations of the techniques.
- Use Your Own Statistical Software
A specific statistical package is never imposed for hands-on sessions. On the contrary, we strongly encourage participants to use their own software if they have one. Otherwise, we can help determine the one that best suits their needs. Instructors are familiar with most statistics packages and can very easily assist attendees. Participants agree that using their own software package is a big plus since they can immediately apply what they learned when they return to their office. Moreover, many have pointed out that it is a real advantage to have different software within a given session as it allows comparing their relative strenghts and weaknesses.
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