Data Science Capstone
date_range Débute le 1 mai 2017
event_note Se termine le 19 juin 2017
list 7 séquences
assignment Niveau : Introductif
label Informatique & Programmation
chat_bubble_outline Langue : Anglais
card_giftcard 16.8 points
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Les infos clés

credit_card Formation gratuite
verified_user Certification gratuite
timer 28 heures de cours

En résumé

The capstone project class will allow students to create a usable/public data product that can be used to show your skills to potential employers. Projects will be drawn from real-world problems and will be conducted with industry, government, and academic partners.

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Le programme

  • Week 1 - Overview, Understanding the Problem, and Getting the Data
    This week, we introduce the project so you can get a clear grip on the problem at hand and begin working with the dataset.
  • Week 2 - Exploratory Data Analysis and Modeling
    This week, we move on to the next tasks, exploratory data analysis and modeling. You'll also submit your milestone report and review submissions from your classmates.
  • Week 3 - Prediction Model
    This week, you'll build and evaluate your prediction model. The goal is to make your model efficient and accurate.
  • Week 4 - Creative Exploration
    This week's goal is to improve the predictive accuracy while reducing computational runtime and model complexity.
  • Week 5 - Data Product
    This week, you'll work on developing the first component of your final project, your data product.
  • Week 6 - Slide Deck
    This week, you'll work on developing the second component of your final project, a slide deck to accompany your data product.
  • Week 7 - Final Project Submission and Evaluation
    This week, you'll submit your final project and review the work of your classmates.
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Le concepteur

The mission of The Johns Hopkins University is to educate its students and cultivate their capacity for life-long learning, to foster independent and original research, and to bring the benefits of discovery to the world.
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La plateforme

Coursera est une entreprise numérique proposant des formation en ligne ouverte à tous fondée par les professeurs d'informatique Andrew Ng et Daphne Koller de l'université Stanford, située à Mountain View, Californie.

Ce qui la différencie le plus des autres plateformes MOOC, c'est qu'elle travaille qu'avec les meilleures universités et organisations mondiales et diffuse leurs contenus sur le web.

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