À propos de ce cours
4.5
673 ratings
•
185 reviews
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....
Stacks

Cours 10 sur 10 dans la

Spécialisation Data Science
Globe

Cours en ligne à 100 %

Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Calendar

Dates limites flexibles

Réinitialisez les dates limites selon votre disponibilité.
Clock

Recommandé : 4-9 hours/week

Approx. 9 heures pour terminer
Comment Dots

English

Sous-titres : English

Ce que vous allez apprendre

  • Check
    Apply your exploratory data analysis skills
  • Check
    Build an efficient and accurate prediction model
  • Check
    Create a useful data product for the public
  • Check
    Produce a presentation deck to showcase your findings

Compétences que vous acquerrez

R ProgrammingNatural Language ProcessingData ScienceText Mining
Stacks

Cours 10 sur 10 dans la

Spécialisation Data Science
Globe

Cours en ligne à 100 %

Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Calendar

Dates limites flexibles

Réinitialisez les dates limites selon votre disponibilité.
Clock

Recommandé : 4-9 hours/week

Approx. 9 heures pour terminer
Comment Dots

English

Sous-titres : English

Programme du cours : ce que vous apprendrez dans ce cours

1

Section
Clock
1 heure pour terminer

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....
Reading
7 vidéos (Total 20 min), 5 lectures, 1 quiz
Video7 vidéos
Welcome to the Capstone Project1 min
Welcome from SwiftKey1 min
You Are a Data Scientist Now1 min
Introduction to Task 0: Understanding the Problem1 min
Introduction to Task 1: Getting and Cleaning the Data1 min
Regular Expressions: Part 1 (Optional)5 min
Regular Expressions: Part 2 (Optional)8 min
Reading5 lectures
Project Overview10 min
Syllabus10 min
Task 0 - Understanding the problem10 min
About the Copora10 min
Task 1 - Getting and cleaning the data10 min
Quiz1 exercice pour s'entraîner
Quiz 1: Getting Started12 min

2

Section
Clock
2 heures pour terminer

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....
Reading
2 vidéos (Total 3 min), 2 lectures, 1 quiz
Video2 vidéos
Introduction to Task 2: Exploratory Data Analysis1 min
Introduction to Task 3: Modeling1 min
Reading2 lectures
Task 2 - Exploratory Data Analysis10 min
Task 3 - Modeling10 min

3

Section
Clock
1 heure pour terminer

Prediction Model

This week, you'll build and evaluate your prediction model. The goal is to make your model efficient and accurate. ...
Reading
1 vidéo (Total 1 min), 1 lecture, 1 quiz
Video1 vidéo
Introduction to Task 4: Prediction Model1 min
Reading1 lecture
Task 4 - Prediction Model10 min
Quiz1 exercice pour s'entraîner
Quiz 2: Natural language processing I20 min

4

Section
Clock
1 heure pour terminer

Creative Exploration

This week's goal is to improve the predictive accuracy while reducing computational runtime and model complexity....
Reading
1 vidéo (Total 1 min), 1 lecture, 1 quiz
Video1 vidéo
Introduction to Task 5: Creative Exploration min
Reading1 lecture
Task 5 - Creative Exploration10 min
Quiz1 exercice pour s'entraîner
Quiz 3: Natural language processing II20 min
4.5
Direction Signs

34%

a commencé une nouvelle carrière après avoir terminé ces cours
Briefcase

83%

a bénéficié d'un avantage concret dans sa carrière grâce à ce cours
Money

22%

a obtenu une augmentation de salaire ou une promotion

Meilleurs avis

par NT•Mar 5th 2018

Capstone did provide a true test of Data Analytics skills. Its like a being left alone in a jungle to survive for a month. Either you succumb to nature or come out alive with a smile and confidence.

par SS•Mar 29th 2017

Wow i finally managed to finish the specialization!! definitely learned a lot and also found out difficulties in building predictors by trying to balancing speed, accuracy and memory constraints!!!

Enseignants

Jeff Leek, PhD

Associate Professor, Biostatistics
Bloomberg School of Public Health

Roger D. Peng, PhD

Associate Professor, Biostatistics
Bloomberg School of Public Health

Brian Caffo, PhD

Professor, Biostatistics
Bloomberg School of Public Health

À propos de Johns Hopkins University

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....

À propos de la Spécialisation Data Science

Ask the right questions, manipulate data sets, and create visualizations to communicate results. This Specialization covers the concepts and tools you'll need throughout the entire data science pipeline, from asking the right kinds of questions to making inferences and publishing results. In the final Capstone Project, you’ll apply the skills learned by building a data product using real-world data. At completion, students will have a portfolio demonstrating their mastery of the material....
Data Science

Foire Aux Questions

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

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