TStat is a “niche” statistics company providing: i) biostatistics, econometrics and statistical training to the private and public sector; and ii) data analysis and statistical consultancy support to small and medium firms. Since its creation in 1999, TStat is also the Italian distributor for the principal biostatistics, econometric, operational research and statistical software.
Over the past 17 years, TStat has evolved to become the market leader in Biostatical, Econometric and Statistical training in Italy. Today, TStat is an important point of reference for researchers in both the private and public sector, needing to: acquire new analytical skills; study the latest econometrical or statistical developments in their field, or simply refresh their existing analytical “tool-box”. Each year our training portfolio offers academics, biostatisticians, medics, economists, market analysts, researchers and public health sector professionals, a comprehensive array of training possibilities.
Our current training portfolio can be classified into three distinct categories:
- introductory and advanced courses relating to the use of one of the statistical software which TStat distributes;
- introductory/intermediate courses in biostatistics, epidemiology, econometrics, financial analysis, statistics and qualitative and quantitative text analysis; and
- advanced “state of the art” courses in each of the aforementioned fields.
Our training initiatives are offered:
- via our training division TStat Training’s, online virtual classroom portal;
- through bespoke on-site training packages; and
- via traditional public attendance courses scheduled throughout the year in Berlin, Frankfurt, Florence, Milan and Rome.
OUR TRAINING PHILOSOPY
What differentiates TStat’s training courses from those of its competitors?
TStat’s courses are characterized by their theoretical and applied structure. Each course is composed of both a theoretical component (in which the techniques and underlying econometric biostatistics and statistic principles behind them are explained), and an applied (hands-on) segment, during which participants are given the opportunity to implement these techniques using real data and the latest statistical software under the watchful eye of the course tutor. Throughout the course, theoretical sessions are reinforced by case study examples, in which the course tutor discusses current research issues, highlighting potential pitfalls and the advantages of individual techniques. The intuition behind the choice and implementation of a specific technique is of the utmost importance. In this manner, course leaders are able to bridge the “often difficult” gap between abstract theoretical methodologies, and the practical issues one encounters when dealing with real data.
At the end of the course, participants are expected to be able to autonomously implement the theories and methodologies discussed in the course with the help of the software routines developed specifically for the course.
Should problems arise once delegates return to their workplace, post-training support is however offered. Attendees are also provided with a short- term course license for the software used during the training program to ensure continuity with respect to access to software upon their return to the workplace.
As the authorized Italian distributor of Stata, EViews, GAUSS Systems, Lingo Systems, Provalis Research and Rats, TStat enjoys a close profitable working relationship with the developers of the leading software for econometric, statistical analysis used in both academic and industry
Today data offers an amazing source of information, not only for researchers in research and development, but also for professionals in marketing, research and development. Data analysis costs, can however, for small or medium size firm or institutions without their own in-house statistical office, be rather prohibitive. TStat’s statistical consultancy team offers an array of statistical support (from data cleaning and data mining to advanced econometrical and statistical), without the need to invest in in-house statistical support staff. Over the past 10 years, our group of experts has acquired extensive experience in statistical and econometrical analysis in both academic and commercial settings.
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