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Training Description:

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.

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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.

Լրացուցիչ տեղեկություն

COURSE 1

The Data Scientist’s Toolbox

Commitment: 1-4 hours/week

Subtitles: English, French, Chinese (Simplified), Greek, Italian, Portuguese (Brazilian), Vietnamese, Russian, Turkish, Hebrew, Japanese

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 components

 

COURSE 2

R Programming

Subtitles: English, French, Chinese (Simplified), Vietnamese, Japanese

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 language

 

COURSE 3

Getting and Cleaning Data

Subtitles: English, French, Chinese (Simplified), Vietnamese, Russian

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 

 

COURSE 4

Exploratory Data Analysis

Subtitles: English, Vietnamese, 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 techniques

 

COURSE 5

Reproducible Research

Commitment: 4-9 hours/week

Subtitles: English, Vietnamese

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 code

 

COURSE 6

Statistical Inference

Subtitles: English, Vietnamese

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 des

 

COURSE 7

Regression Models

Subtitles: English, Vietnamese

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. 

 

COURSE 8

Practical Machine Learning

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

 

COURSE 9

Developing Data Products

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 creat

 

COURSE 10

Data Science Capstone

Upcoming session: Nov 26

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

 

7-day Free Trial

• Unlimited access to all courses in the Specialization

  Watch lectures, try assignments, participate in discussion forums, and more.

• Cancel anytime.

  No penalties - simply cancel before the trial ends if it's not right for you.

• $49 USD per month to continue learning after trial ends.

  Go as fast as you can - the faster you go, the more you save.

• Certificate when you complete.

  Share on your resume, LinkedIn, and CV.

Խոսնակներ:

Roger D. Peng, PhD

Associate Professor, Biostatistics

Brian Caffo, PhD

Professor, Biostatistics

Jeff Leek, PhD

Associate Professor, Biostatistics