In-house learning conforms to the traditional method of learning where students and educators have to assemble physically at a predefined location where education is imparted. At a glance, this method is not any different from the model that is being followed by educational institutions worldwide. However, Statswork opts to differ from the conventional path and provides in-house learning in specific modules that are customized, flexible and adhere to specific requirements of students. The level of experience of our faculty is top class and they are well versed with the subject matter, have ample domain expertise and are fully competent to impart education in a thoroughly engaging manner. Flexible training offered by us is not only cost effective but also takes into consideration the specific requirement of students. We offer a plethora of learning modules that are customized to fit the requirements of students such as:-
- Learning on hourly basis: We provide education to students on an hourly basis where students are charged at hourly rates. This type of module is preferred and widely accepted by students who are keen to acquire key knowledge in a concise manner.
- Learning on daily basis: In this specific module, education is imparted to students on a daily basis. This kind of module is largely preferred by students who are inclined to acquire intrinsic education in a thoroughly comprehensive manner.
- Learning on project basis: Under this category, we provide intrinsic education to students based on their exclusive project requirements. Students enroll with us to acquire statistical knowledge pertaining to a particular project. The scope of this module only extends till such time that the project is in progress.
Irrespective of the various above mentioned modules provided by us, we ensure that a consistent quality in courseware content is constantly maintained. Educational courses provided by us are strategically tailored to meet the specific requirements of students. The in-house learning model is particularly effective in providing precise guidance to students with regards to statistical work that they need to include within their thesis and research work. It also facilitates a better interaction with the faculty and fellow students thereby, offering a learning process that is deep-rooted and engaging.