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See Courses in Data Science 2019/2020 in Massachusetts in USA

You can usually take higher education courses if you’re 18 or older. They’re regularly taught in universities, colleges and professional institutions such as art schools or agricultural colleges - nearly all of which have their own websites. You can get a wide range of skills, for example, diplomas, bachelor degrees, foundation degrees and post-graduate degrees.

The USA remains the world’s most popular destination for international students. Universities in the US dominate the world rankings and the country also offers a wide variety of exciting study locations. State university systems are partially subsidized by state governments, and may have many campuses spread around the state, with hundreds of thousands of students.

Request Information Courses in Data Science in Massachusetts in USA 2019/2020

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8 Results in Data Science, Massachusetts

Other options within this field of study:
General Assembly

Learn to present and communicate data-driven insights via SQL, Excel, and Tableau. Create data visualizations and dashboards. ... [+]

The Big Picture

Confidently make — and defend — critical decisions using the results of your data analysis.

Skills, Tools, & Strategies

Use Excel, SQL, and Tableau to spot trends and drive business decisions with real‐world data.

Analytics in Practice

Share your insights and tell compelling stories using data visualizations and dashboards.

Meet Your Support Team

Our educational excellence is a community effort. When you learn at GA, you can always rely on an in-house team of experts to provide guidance and support, whenever you need it.

Instructors

Learn industry-grade frameworks, tools, vocabulary, and best practices from a teacher whose daily work involves using them expertly.... [-]

USA New York Atlanta Austin Boston Chicago Dallas Denver Los Angeles Santa Monica Irvine Providence San Francisco San Jose Seattle Washington Arlington USA Online  + 14 More
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Part-time
10 weeks
Campus
General Assembly

Master the basics of machine learning to forecast what's next: predict patterns from large datasets using Python. ... [+]

Skills & Tools

Use Python to mine datasets and predict patterns.

Production Standard

Build statistical models — regression and classification — that generate usable information from raw data.

The Big Picture

Master the basics of machine learning and harness the power of data to forecast what’s next.

Meet Your Support Team

Our educational excellence is a community effort. When you learn at GA, you can always rely on an in-house team of experts to provide guidance and support, whenever you need it.

Instructors

Learn industry-grade frameworks, tools, vocabulary, and best practices from a teacher whose daily work involves using them expertly.

Teaching Assistants... [-]

USA New York Atlanta Austin Boston Chicago Dallas Denver Los Angeles Santa Monica Irvine Providence San Francisco San Jose Seattle Washington Arlington USA Online  + 14 More
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Part-time
10 weeks
Campus
General Assembly

Learn the tools and techniques you need to make better decisions through data, and land a job in one of the most sought-after fields in tech. ... [+]

Become a Data Scientist

Learn the tools and techniques you need to make better decisions through data, and land a job in one of the most sought-after fields in tech.

Learn From Experts

Create predictive models by learning to wrangle, analyze, and visualize data from our team of professional Data Scientist instructors.

Gain Hands-On Experience

Develop hard skills like Unix, Git, SQL, Python, machine learning, and modeling techniques while creating your own data projects and applications.

Get Hired

Take advantage of the growing demand for data and use the guidance and resources of our in-house career coaches to help you find work.

Meet Your Support Team

Our educational excellence is a community effort. When you learn at GA, you can always rely on an in-house team of experts to provide guidance and support, whenever you need it.... [-]

USA New York Atlanta Austin Boston Chicago Dallas Denver Los Angeles Santa Monica Irvine Providence San Francisco San Jose Seattle Washington Arlington USA Online  + 14 More
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Full-time
12 weeks
Campus
edX

Learn inference and modeling, two of the most widely used statistical tools in data analysis. ... [+]

Learn inference and modeling, two of the most widely used statistical tools in data analysis. About this course

Statistical inference and modeling are indispensable for analyzing data affected by chance, and thus essential for data scientists. In this course, you will learn these key concepts through a motivating case study on election forecasting.

This course will show you how inference and modeling can be applied to develop the statistical approaches that make polls an effective tool and we'll show you how to do this using R. You will learn concepts necessary to define estimates and margins of errors and learn how you can use these to make predictions relatively well and also provide an estimate of the precision of your forecast. ... [-]

USA Cambridge
Open Enrollment
Part-time
8 weeks
Online
edX

Learn basic data visualization principles and how to apply them using ggplot2. ... [+]

Learn basic data visualization principles and how to apply them using ggplot2. About this course

As part of our Professional Certificate Program in Data Science, this course covers the basics of data visualization and exploratory data analysis. We will use three motivating examples and ggplot2, a data visualization package for the statistical programming language R. We will start with simple datasets and then graduate to case studies about world health, economics, and infectious disease trends in the United States.

We’ll also be looking at how mistakes, biases, systematic errors, and other unexpected problems often lead to data that should be handled with care. The fact that it can be difficult or impossible to notice a mistake within a dataset makes data visualization particularly important.... [-]

USA Cambridge
Open Enrollment
Part-time
8 weeks
Online
edX

Keep your projects organized and produce reproducible reports using GitHub, git, Unix/Linux, and RStudio. ... [+]

Keep your projects organized and produce reproducible reports using GitHub, git, Unix/Linux, and RStudio. About this course

A typical data analysis project may involve several parts, each including several data files and different scripts with code. Keeping all these organized can be challenging.

Part of our Professional Certificate Program in Data Science, this course explains how to use Unix/Linux as a tool for managing files and directories on your computer and how to keep the file system organized. You will be introduced to the version control systems git, a powerful tool for keeping track of changes in your scripts and reports. We also introduce you to GitHub and demonstrate how you can use this service to keep your work in a repository that facilitates collaborations. ... [-]

USA Cambridge
Open Enrollment
Part-time
8 weeks
Online
edX

Discover the relationship between Big Data and the Internet of Things (IoT). ... [+]

Discover the relationship between Big Data and the Internet of Things (IoT). About this course

The Internet of Things is rapidly growing. It is predicted that more than 25 billion devices will be connected by 2020.

In this data science course, you will learn about the major components of the Internet of Things and how data is acquired from sensors. You will also examine ways of analyzing event data, sentiment analysis, facial recognition software and how data generated from devices can be used to make decisions.

What you'll learn Networks, protocols and basic software for the Internet of Things (IoT). How automated decision and control can be done with IoT technologies. Discuss... [-]
USA Cambridge
Open Enrollment
Part-time
5 weeks
Online
edX

Learn the basics of computational thinking, an essential skill in today’s data-driven world, using the popular programming language, Python. ... [+]

Learn the basics of computational thinking, an essential skill in today’s data-driven world, using the popular programming language, Python. About this course

We live in an era of unprecedented access to data. Understanding how to organize and leverage the vast amounts of information at our disposal are critical skills that allow us to infer upon the world and make informed decisions. This course will introduce you to such skills. To work with large amounts of data, you will need to harness the power of computation through programming. This course teaches you basic programming skills for manipulating data. You will learn how to use Python to organize and manipulate data in tables, and to visualize data effectively. No prior experience with programming or Python is needed, nor is any statistics background necessary. The examples given in the course involve real-world data from diverse settings. Not all data is numerical – you will work with different types of data from a variety of domains. Though the term “data science” is relatively new, the fundamental ideas of data science are not. The course includes powerful examples that span the centuries from the Victorian era to the present day. This course emphasizes learning through doing: you will work on large real-world data sets through interactive assignments to apply the skills you learn. Throughout, the underlying thread is that data science is a way of thinking, not just an assortment of methods. You will also hone your interpretation and communication skills, which are essential skills... [-]

USA Cambridge
Open Enrollment
Part-time
5 weeks
Online