The Best Udacity Nanodegrees for Data Science and Machine Learning

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 le. 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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TITLE: Becoming a Machine Learning Engineer for Microsoft Azure Nanodegree

OUR TAKE: This training will help you strengthen your machine learning skills through practical training, validating, and evaluating models using Azure machine learning. Students should expect to spend 3 months on this Nanodegree.

Description: In this program, students will enhance their skills by building and deploying sophisticated machine learning solutions using popular open source tools and frameworks, and gain practical experience running complex machine learning tasks using the built-in Azure labs accessible inside the Udacity classroom.

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TITLE: Intro to Machine Learning with TensorFlow Nanodegree

OUR TAKE: This Nanodegree will show you basic and foundational machine learning techniques and takes an estimated 3 months to complete if students spend 10 hours per week.

Description: Learn foundational machine learning algorithms, starting with data cleaning and supervised models. Then, move on to exploring deep and unsupervised learning. At each step, get practical experience by applying your skills to code exercises and projects.

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TITLE: Intro to Machine Learning with PyTorch Nanodegree

OUR TAKE: This Nanodegree is designed for students with experience in Python but not machine learning. It will also show you skills like data manipulation to unsupervised and supervised algorithms.

Description: Learn foundational machine learning algorithms, starting with data cleaning and supervised models. Then, move on to exploring deep and unsupervised learning. At each step, get practical experience by applying your skills to code exercises and projects.

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TITLE: Become a Machine Learning Engineer Nanodegree

OUR TAKE: Intended for students who already have knowledge of machine learning algorithms, this training teaches you advanced techniques like how to package and deploy models. This training takes an estimated 3 months of time to complete.

Description: Learn advanced machine learning techniques and algorithms and how to package and deploy your models to a production environment. Gain practical experience using Amazon SageMaker to deploy trained models to a web application and evaluate the performance of your models. A/B test models and learn how to update the models as you gather more data, an important skill in industry.

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TITLE: Machine Learning DevOps Engineer Nanodegree

OUR TAKE: This Nanodegree shows you how to integrate machine learning models and deploy them into a production-level environment. This module should take you roughly 4 months to finish.

Description: In this program, you will build the DevOps skills required to automate the various aspects and stages of machine learning model building and monitoring. Prior experience with Python and machine learning are recommended.

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Timothy King
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