The Best Udacity Nanodegrees for Data Science and Machine Learning – Solutions Review

The Best Udacity Nanodegrees for Data Science

A directory of the best Udacity Nanodegree programs for data science and machine learning, compiled by the editors at Solutions Review.

SR Finds 106Data science is one of the fastest-growing fields in America. Organizations are employing data scientists at a rapid rate to help them analyze increasingly large and complex data volumes. The proliferation of big data and the need to make sense of it all has created a vortex where all of these things exist together. As a result, new techniques, technologies, and theories are continually being developed to run advanced analysis, and they all require development and programming to ensure a path forward.

With this in mind, the editors at Solutions Review have compiled this list of the best Udacity Nanodegrees for data science and machine learning. Udacity is perfect for those looking to take multiple courses or acquire skills in multiple different areas, or for those who want the most in-depth experience possible through access to entire course libraries or learning paths. In sum, Udacity is home to more than 160,000 students in more than 190 countries.

The Best Udacity Nanodegrees for Data Science and Machine Learning

TITLE: Become a Data scientist Nanodegree

OUR TAKE: This Nanodegree program will provide you with real-world data science projects designed by industry experts. It takes an estimated 4 months to complete and starts with solving basic data science problems.

Description: You’ll master the skills necessary to become a successful Data Scientist. You’ll work on projects designed by industry experts, and learn to run data pipelines, design experiments, build recommendation systems, and deploy solutions to the cloud. It is recommended that students be familiar with machine learning concepts and Python programming, probability, and statistics.

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TITLE: Programming for Data Science with R Nanodegree

OUR TAKE: This data science programming training will teach you data programming tools like R, SQL, command line, and git. This module takes roughly 3 months to complete.

Description: Learn the programming fundamentals required for a career in data science. By the end of the program, you will be able to use R, SQL, Command Line, and Git. There are no prerequisites for this program, aside from basic computer skills. With real-world projects and immersive content built in partnership with top-tier companies, you’ll master the tech skills companies want.

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TITLE: Programming for Data Science with Python Nanodegree

OUR TAKE: Taking an estimated 3 months to complete, this Udacity Nanodegree will prepare you to get started in a data science career. It will teach you the fundamentals of prominent data programming tools.

Description: Learn the programming fundamentals required for a career in data science. By the end of the program, you will be able to use Python, SQL, Command Line, and Git. You should feel comfortable performing basic operations on your computer like opening files and folders, opening applications, and copying and pasting.

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OUR TAKE: T

Description: Y

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Tim is Solutions Review’s Editorial Director and leads coverage on big data, business intelligence, and data analytics. A 2017 and 2018 Most Influential Business Journalist and 2021 “Who’s Who” in data management and data integration, Tim is a recognized influencer and thought leader in enterprise business software. Reach him via tking at solutionsreview dot com.
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