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en math\u00e9matiques et en finance, Davy a ajout\u00e9 une nouvelle corde \u00e0 son arc en se formant \u00e0 la Data Science au Wagon Paris, au sein du batch #359. Aujourd\u2019hui professeur pour le Wagon, c'est \u00e0 son tour d'enseigner la Data avec passion aux \u00e9tudiants du bootcamp.","_yoast_wpseo_title":"Davy : de math\u00e9maticien \u00e0 professeur en Data Science au Wagon | Le Wagon","contenu_de_larticle":"

Peux-tu nous en dire plus sur ton parcours : que faisais-tu avant de rejoindre la Team du Wagon ?<\/h2>
Math\u00e9maticien de formation (Universit\u00e9 Pierre et Marie Curie), je voulais devenir analyste quantitatif mais je n\u2019aimais pas programmer. Je me suis orient\u00e9 en \u00e9cole de commerce \u00e0 l\u2019ESSEC (Paris\/Singapour) pour travailler en finance, en marketing digital (Munich) puis en tant que Data Analyst<\/a>.<\/div>

<\/div>

Pourquoi le bootcamp Data Science du Wagon ?<\/h2>
Je voulais \u201cfast-track\u201d mon apprentissage du Machine Learning<\/a> et du Deep Learning, apprendre au sein d\u2019une communaut\u00e9 et d\u00e9velopper mon r\u00e9seau. L\u2019\u00e9mulation pendant la phase d\u2019apprentissage<\/a> me semble primordiale. Il existe de nombreuses ressources de qualit\u00e9 (livres, cours en ligne) qui sont tr\u00e8s compl\u00e9mentaires avec le Bootcamp, mais avec le recul je trouve que l\u2019avantage de ce Bootcamp est d\u2019\u00eatre tr\u00e8s orient\u00e9 vers les applications de la Data Science tout en \u00e9tant rigoureux sur la th\u00e9orie.<\/div>

<\/div>

Tu es donc \u00e0 pr\u00e9sent professeur pour le Wagon. Peux-tu nous parler de cette nouvelle exp\u00e9rience d\u2019enseignant au Wagon et ce qu\u2019elle t\u2019apporte?<\/h2>
 \u201cIf you can teach it, you know it\u201d.<\/blockquote><\/blockquote>

La diversit\u00e9 des \u00e9tudiant.e.s me permet d\u2019\u00eatre challeng\u00e9 par des questions tr\u00e8s pointues de certain.e.s \u00e9tudiant.e.s mais aussi de me pousser \u00e0 fournir des explications claires, limpides pour celles et ceux qui ont un parcours moins scientifique.<\/div>

<\/div>
Cela me laisse aussi du temps \u00e0 c\u00f4t\u00e9 pour des lectures de livres plus avanc\u00e9s (A. G\u00e9ron - Hands on Machine Learning et Y. Bengio, A. Courville, I. Goodfellow - Deep Learning) et pour travailler sur des projets personnels en Data Science.<\/div>

<\/div>

Qu\u2019as-tu envie de dire aux personnes qui pensent rejoindre la formation en Data Science au Wagon, mais n\u2019osent pas encore se lancer ?<\/h2>
Si vous avez travaill\u00e9 dans un domaine \u00e9conomique, financier, scientifique, vous avez d\u00e9j\u00e0 manipul\u00e9 beaucoup de donn\u00e9es et la formation Data Science<\/a> du Wagon vous fournira un nouvel arsenal d\u2019outils (Mod\u00e8les de Decision Science, Machine Learning, Deep Learning) bien plus pouss\u00e9 que votre traditionnelle feuille de calcul Excel et de nouvelles opportunit\u00e9s de carri\u00e8re.

<\/div>
Si vous avez un parcours plus atypique, prenez contact avec l\u2019\u00e9quipe d\u2019admission quand m\u00eame!<\/div>
Avant de commencer la formation, on vous demandera de suivre un \u201cprep-work\u201d pour que vous soyez pr\u00eat.e.s. d\u00e8s le premier jour du bootcamp!
Ne sous-estimez pas le c\u00f4t\u00e9 travail\/apprentissage en \u00e9quipe : chaque jour du bootcamp, vous travaillerez en bin\u00f4me (peer-programming) et serez encadr\u00e9.e. par un professeur et des teaching assistants pour vous former aux m\u00e9tiers de la Data Science<\/a>.<\/div>","_contenu_de_larticle":null,"titre_de_la_banniere":null,"_titre_de_la_banniere":null,"paragraphe_de_la_banniere":null,"_paragraphe_de_la_banniere":null,"intitule_du_bouton_de_la_banniere":null,"_intitule_du_bouton_de_la_banniere":null,"lien_du_bouton_de_la_banniere":null,"_lien_du_bouton_de_la_banniere":null,"yoast_head":"\nDavy : de math\u00e9maticien \u00e0 professeur en Data Science au Wagon | Le Wagon<\/title>\n<meta name=\"description\" content=\"Dipl\u00f4m\u00e9 en math\u00e9matiques et en finance, Davy a ajout\u00e9 une nouvelle corde \u00e0 son arc en se formant \u00e0 la Data Science au Wagon Paris, au sein du batch #359. 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