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    An accessible course in statistics by A. Stanisz – Volumes 1–3:
    • Vol. 1: Basic statistics
    • Vol. 2: Linear and nonlinear models
    • Vol. 3: Multivariate analyses

    Building effective data mining models: a case study in customer churn prediction by G. Migut

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    Agricultural University in Krakow

    “(…) We state with full confidence that the project was carried out at a very high organizational and substantive level. The company demonstrated:

    • a high level of professionalism in organizing the training sessions, including efficient communication with participants and flexible adjustment of schedules,
    • extensive experience and strong competencies of the trainers, whose knowledge and teaching skills were highly appreciated by the participants,
    • careful preparation of training materials tailored to the participants’ level and needs,
    • efficient administrative and technical support, ensuring the smooth delivery of online sessions,
    • timely and reliable management of complete project documentation, in accordance with the requirements of the contract and project implementation guidelines,
    • high quality of the services provided. (…)”
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    Polpharma

    “…we would like to express our satisfaction with the training. (…)
    In the opinion of the participants, the knowledge and skills gained during the training will be used in research and development work.
    The training was conducted reliably and professionally, and we can wholeheartedly recommend the services of StatSoft Polska…”

    ADAMED

    “We are pleased to confirm the long-standing and fruitful cooperation between Adamed Pharma S.A. and StatSoft Sp. z o.o. (…) We use Statistica software as well as dedicated StatSoft applications that support process validation, stability studies, and release profile comparisons. Thanks to these tools, we are able to perform analyses in compliance with regulatory requirements, prepare complete registration dossiers, and obtain reliable foundations for making key decisions. The use of these solutions has allowed us to significantly streamline processes, as well as reduce the time and costs associated with data analysis.

    Particular emphasis should be placed on the high quality of post-implementation support: fast response times, a practical approach to problem-solving, and the ability to tailor solutions to the specifics of our organization…”

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