Spécialisation Data Science

Launch Your Career in Data Science. A nine-course introduction to data science, developed and taught by leading professors.

À propos de cette Spécialisation

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.

Créé par :

Partenaires du secteur :

10 courses

Suivez l'ordre suggéré ou choisissez le vôtre.

Projets

Conçu pour vous aider à vous exercer et à appliquer les compétences que vous avez acquises.

Certificats

Mettez en évidence vos nouvelles compétences sur votre CV ou sur LinkedIn.

Cours

Beginner Specialization.: No prior experience required.

COURS 1
The Data Scientist’s Toolbox
Session à venir : Jun 25
Engagement
1-4 hours/week
Sous-titres
English, French, Chinese (Simplified), Greek, Italian, Portuguese (Brazilian), Vietnamese, Russian, Turkish, Hebrew
À propos du cours
In this course you will get an introduction to the main tools and ideas in the data scientist's toolbox. The course gives an overview of the data, questions, and tools that data analysts and data scientists work with. There are two components
Vous pouvez choisir de suivre seulement ce cours. En savoir plus.
COURS 2
R Programming
Session à venir : Jun 25
Sous-titres
English, French, Chinese (Simplified), Vietnamese, Japanese
À propos du cours
In this course you will learn how to program in R and how to use R for effective data analysis. You will learn how to install and configure software necessary for a statistical programming environment and describe generic programming language
Vous pouvez choisir de suivre seulement ce cours. En savoir plus.
COURS 3
Getting and Cleaning Data
Session à venir : Jun 25
Sous-titres
English, Russian, French, Chinese (Simplified)
À propos du cours
Before you can work with data you have to get some. This course will cover the basic ways that data can be obtained. The course will cover obtaining data from the web, from APIs, from databases and from colleagues in various formats. It will also c
Vous pouvez choisir de suivre seulement ce cours. En savoir plus.
COURS 4
Exploratory Data Analysis
Session à venir : Jun 25
Sous-titres
English, Chinese (Simplified)
À propos du cours
This course covers the essential exploratory techniques for summarizing data. These techniques are typically applied before formal modeling commences and can help inform the development of more complex statistical models. Exploratory techniques
Vous pouvez choisir de suivre seulement ce cours. En savoir plus.
COURS 5
Reproducible Research
Session à venir : Jun 25
Engagement
4-9 hours/week
Sous-titres
English
À propos du cours
This course focuses on the concepts and tools behind reporting modern data analyses in a reproducible manner. Reproducible research is the idea that data analyses, and more generally, scientific claims, are published with their data and software code
Vous pouvez choisir de suivre seulement ce cours. En savoir plus.
COURS 6
Statistical Inference
Session à venir : Jun 25
Sous-titres
English
À propos du cours
Statistical inference is the process of drawing conclusions about populations or scientific truths from data. There are many modes of performing inference including statistical modeling, data oriented strategies and explicit use of des
Vous pouvez choisir de suivre seulement ce cours. En savoir plus.
COURS 7
Regression Models
Session à venir : Jun 25
Sous-titres
English
À propos du cours
Linear models, as their name implies, relates an outcome to a set of predictors of interest using linear assumptions. Regression models, a subset of linear models, are the most important statistical analysis tool in a data scientist’s toolkit. Thi
Vous pouvez choisir de suivre seulement ce cours. En savoir plus.
COURS 8
Practical Machine Learning
Session à venir : Jun 25
Sous-titres
English
À propos du cours
One of the most common tasks performed by data scientists and data analysts are prediction and machine learning. This course will cover the basic components of building and applying prediction functions with an emphasis on practical appli
Vous pouvez choisir de suivre seulement ce cours. En savoir plus.
COURS 9
Developing Data Products
Session à venir : Jun 25
Sous-titres
English
À propos du cours
A data product is the production output from a statistical analysis. Data products automate complex analysis tasks or use technology to expand the utility of a data informed model, algorithm or inference. This course covers the basics of creat
Vous pouvez choisir de suivre seulement ce cours. En savoir plus.
COURS 10
Data Science Capstone
Session à venir : Jul 23
Engagement
4-9 hours/week
Sous-titres
English
À propos du Projet Final
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, an
Vous pouvez choisir de suivre seulement ce cours. En savoir plus.

Créateurs

Johns Hopkins University is recognized as a destination for excellent, ambitious scholars and a world leader in teaching and research. 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.
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.

Roger D. Peng, PhD
Associate Professor, Biostatistics
Brian Caffo, PhD
Professor, Biostatistics
Jeff Leek, PhD
Associate Professor, Biostatistics

FAQs

More questions? Visit the Learner Help Center.