Launch Your Career in Data Science
A nine-course introduction to data science, developed and taught by leading professors.
About This Specialization
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.
Created by:
Industry Partners:
10 courses
Follow the suggested order or choose your own.
Projects
Designed to help you practice and apply the skills you learn.
Certificates
Highlight your new skills on your resume or LinkedIn.
Courses
- Beginner Specialization.
- No prior experience required.
COURSE 1
The Data Scientist’s Toolbox
Current session: Oct 16- Commitment
- 1-4 hours/week
- Subtitles
- English, French, Chinese (Simplified), Greek, Italian, Portuguese (Brazilian), Vietnamese, Russian, Turkish, Hebrew
About the Course
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 componentsYou can choose to take this course only. Learn more.
COURSE 2
R Programming
Current session: Oct 16- Subtitles
- English, French, Japanese, Chinese (Simplified)
About the Course
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 languageYou can choose to take this course only. Learn more.
COURSE 3
Getting and Cleaning Data
Current session: Oct 16- Subtitles
- English, Russian, French, Chinese (Simplified)
About the Course
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 cYou can choose to take this course only. Learn more.
COURSE 4
Exploratory Data Analysis
Current session: Oct 16- Subtitles
- English, Chinese (Simplified)
About the Course
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 techniquesYou can choose to take this course only. Learn more.
COURSE 5
Reproducible Research
Current session: Oct 16- Commitment
- 4-9 hours/week
- Subtitles
- English
About the Course
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 codeYou can choose to take this course only. Learn more.
COURSE 6
Statistical Inference
Current session: Oct 16- Subtitles
- English
About the Course
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 desYou can choose to take this course only. Learn more.
COURSE 7
Regression Models
Current session: Oct 16- Subtitles
- English
About the Course
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. ThiYou can choose to take this course only. Learn more.
COURSE 8
Practical Machine Learning
Current session: Oct 16- Subtitles
- English
About the Course
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 appliYou can choose to take this course only. Learn more.
COURSE 9
Developing Data Products
Current session: Oct 16- Subtitles
- English
About the Course
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 creatYou can choose to take this course only. Learn more.
COURSE 10
Data Science Capstone
Current session: Oct 16- Commitment
- 4-9 hours/week
- Subtitles
- English
About the Capstone Project
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, anYou can choose to take this course only. Learn more.
Creators
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.
