{"id":2837,"date":"2021-03-18T15:34:03","date_gmt":"2021-03-18T14:34:03","guid":{"rendered":"https:\/\/ritme.com\/labs-solutions\/valorisation-des-donnees\/"},"modified":"2021-06-25T14:16:37","modified_gmt":"2021-06-25T12:16:37","slug":"data-valorisation","status":"publish","type":"page","link":"https:\/\/ritme.com\/en\/ritme-solutions\/data-valorisation\/","title":{"rendered":"Data valorisation"},"content":{"rendered":"\n
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Data valorisation<\/h2>\n\n\n\n

The exponential generation of data\u00a0brings many issues: how to collect and manage this data?\u00a0How to store it securely? How to structure it? Last but not least\u00a0:\u00a0how to value it?\u00a0<\/strong><\/p>\n\n\n\n

After preliminary analysis of your issues and objectives, we work on a project of accompaniment around the relevant technology.  <\/p>\n<\/div><\/div>\n<\/div><\/section>\n\n\n\n

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Once data is captured, cleaned and mastered, the challenge is to structure and value<\/strong> <\/strong><\/p>\n\n\n\n

It s necessary to be equipped with the architecture, tools and skills necessary to do so. We provide you with these valuable tools.<\/strong><\/p>\n\n\n\n

Valuing unstructured data:\u00a0Nvivo\u00a0and qualitative analysis\u00a0\u00a0<\/span><\/h3>\n\n\n\n

NVivo<\/strong> <\/strong>is a mixed-methods based data analysis software, designed to provide a workspace and thinking space where  organize, visualize<\/strong>,<\/strong> <\/strong>analyze <\/strong>and leverage the<\/strong> un<\/strong> <\/strong>structured data<\/strong>s<\/strong>. <\/strong> It uncovers richer information, and produces clearly articulated, defensible results supported by rigorous evidence. <\/strong><\/p>\n\n\n\n

NVivo<\/a>\u00a0requires\u00a0a robust methodology and a\u00a0prepared approach,\u00a0which has led us to\u00a0set up\u00a0an array of trainings\u00a0around project management in qualitative analysis<\/strong>\u00a0with the help of trainers with strong academic and technical backgrounds. Today, these are our most prized trainings.\u00a0\u00a0<\/p>\n\n\n\n

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Discover our NVivo software<\/p>\n\n\n\n

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read more<\/a><\/p>\n<\/div><\/div><\/div><\/div><\/div>\n<\/div><\/section>\n<\/div><\/div>\n\n\n\n

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Discover our project approach<\/p>\n\n\n\n

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read more<\/a><\/p>\n<\/div><\/div><\/div><\/div><\/div>\n<\/div><\/section>\n<\/div><\/div>\n\n\n\n

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Discover our NVivo training courses<\/p>\n\n\n\n

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read more<\/a><\/p>\n<\/div><\/div><\/div><\/div><\/div>\n<\/div><\/section>\n<\/div><\/div>\n<\/div><\/section>\n\n\n\n

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Machine Learning and Open Source Tools for DataScience<\/span><\/h3>\n\n\n\n

The valorisation of data requires the mastery of a booming ecosystem :  Machine Learning <\/strong>and Open Source technologies. <\/strong> <\/p>\n\n\n\n

Understand the basics of artificial learning and\u00a0Machine\u00a0Learning\u00a0on structured data, determine the type of techniques to be applied according to the situations and questions asked, perform\u00a0preprocessing<\/strong>\u00a0 elaborated in order to implement\u00a0predictive models,<\/strong>\u00a0apply standard methods of dimension reduction and\u00a0clustering<\/strong>,\u00a0understand the basics of\u00a0text\u00a0mining<\/strong>…\u00a0<\/p>\n\n\n\n

We can help you validate with you the choice of a language rather than another (R, Python\u2026)<\/strong>, accompany the rise in power of your developers, and make you autonomous in the evolution of your models and studies.<\/p>\n\n\n\n

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This course was very instructive and very well structured. Being a novice in the use of R, I was craving for these two days of training on on “R Initiation” and am very satisfied with this training. The balance between theory and practice during this course allowed me to be more autonomous on data analysis and to do future genomic data analysis (DNA seq…) during my post-Doc.<\/p>\t\t\t<\/div>\n\t\t<\/div>\n\t\t

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Johanna Verneau<\/div>\n\t\t\t\t\t\t\t
INSERM U1138<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t
R Initiation training<\/div>\n\t\t\t\t\t<\/div>\n\t<\/div>\n<\/div>\n<\/div>\n\n\n
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all our data science training courses<\/a><\/div>\n<\/div>\n<\/div><\/section>\n<\/div><\/section>\n<\/div><\/div>\n\n\n\n
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