Ce cours fournit un cadre analytique afin de vous aider 脿 茅valuer les probl猫mes cl茅s de mani猫re structur茅e. Il vous procurera 茅galement des outils afin de mieux g茅rer les incertitudes qui envahissent et compliquent les processus des entreprises. Plus pr茅cis茅ment, vous serez initi茅(e) aux statistiques et 脿 la mani猫re de r茅sumer les donn茅es. Vous d茅couvrirez les concepts de fr茅quence, de loi normale, d鈥櫭﹖udes statistiques, de l鈥櫭ヽhantillonnage et des intervalles de confiance.
Exploration et production de donn茅es pour les entreprises
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Exploration et production de donn茅es pour les entreprises
Instructor: Fataneh Taghaboni-Dutta, Ph.D., PMP, CSM, CSPO
Included with 
Gain insight into a topic and learn the fundamentals.
Beginner level
No prior experience required
2 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Skills you'll gain
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Taught in French
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There are 5 modules in this course
Vous vous familiariserez avec le cours, vos camarades de classe et notre environnement d鈥檃pprentissage. Le parcours d鈥檌nt茅gration vous aidera 茅galement 脿 acqu茅rir les comp茅tences techniques requises pour le cours.
What's included
2 videos6 readings1 assignment1 discussion prompt
Les donn茅es sont partout autour de vous, mais que vous disent-elles聽? La premi猫re 茅tape consiste 脿 bien comprendre les informations que vous avez recueillies afin de prendre de meilleures d茅cisions et de mieux agir. Dans ce module, nous d茅couvrirons quelques-uns des outils statistiques qui nous aident 脿 atteindre cet objectif.
What's included
11 videos2 readings6 assignments
Nous avons tous entendu l鈥檈xpression 芦聽une image vaut mille mots聽禄, mais vous ne voulez certainement pas que l鈥檜ne de ces expressions soit 芦聽qu鈥檈st-ce que je regarde exactement聽?聽禄 Maintenant que vous savez utiliser des 芦聽images聽禄 afin de r茅sumer vos donn茅es, rendons-les plus simples 脿 comprendre.
What's included
16 videos2 readings7 assignments
Vous 锚tes charg茅(e) d鈥檃nalyser un segment de march茅 pour votre entreprise. Vous et votre 茅quipe avez d茅fini les variables que vous devez comprendre. Vous avez 茅galement une id茅e des facteurs qui pourraient influencer ces variables d鈥檌nt茅r锚t. Vous 锚tes maintenant pr锚t(e) 脿 faire votre analyse. Mais, attendez ! O霉 sont les donn茅es ? Comment commencez-vous 脿 obtenir les donn茅es ? Dans ce module, nous r茅viserons les moyens par lesquels vous pouvez commencer 脿 produire des donn茅es (les concepts d鈥櫭ヽhantillonnage et le th茅or猫me de la limite centrale). Nous vous aiderons 茅galement 脿 comprendre de quelle mani猫re produire de 芦 bonnes 禄donn茅es d鈥櫭ヽhantillon, ainsi que les raisons pour lesquelles les donn茅es d'茅chantillon fonctionneront.
What's included
7 videos2 readings5 assignments1 peer review
Vous poss茅dez un 茅chantillon de donn茅es et vous avez effectu茅 l鈥檃nalyse. Vous estimez pouvoir tirer des informations sur la population en vous fondant sur l鈥櫭﹖ude de votre 茅chantillon. Mais connaissez-vous vos chances de ne pas vous tromper ? Comment pouvez-vous 锚tre plus s没r(e) ? Qu鈥檃uriez-vous d没 茅galement prendre en consid茅ration ? Dans ce module, vous d茅couvrirez comment trouver les r茅ponses 脿 ces questions.
What's included
13 videos3 readings5 assignments
Instructor
University of Illinois Urbana-Champaign
7 Courses72,305 learners
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