Engineering and Technology
Learn one of the most battle-tested, internationally-recognized processes for solving data-science problems.
The Introduction to Data Science course on Udacity covers the data science process, including applying the CRISP-DM process to business applications and analyzing datasets. It also teaches best practices for communicating with stakeholders, including sharing code and written summaries, and provides guidance on creating a great data science blog. The course includes a project where students choose a dataset, identify three questions, analyze the data to find answers, and communicate their findings through a GitHub repository and a blog post. This project helps students strengthen their understanding of machine learning, data visualization, and communication skills.
by Udacity
Learn one of the most battle-tested, internationally-recognized processes for solving data-science p...
by Udacity
Master the people, platforms, and processes required to leverage the power of Data Science in your b...
by Udacity
Prepare for a data science career by learning the fundamental data programming tools: R, SQL, comman...
by Udacity
A first step for beginners towards careers in web and app development, machine learning, data scienc...
by Udacity
Learn the fundamental programming tools for data professionals: Python, SQL, terminal, and Git.
by Udacity
Learn to generate personalized recommendations based on user data and run statistically valid tests...
by Udacity
This class will teach you the end-to-end process of investigating data through a machine learning le...
by Udacity
Learn the 5 key stages of the data analysis process in this hands-on introduction to data analysis.
by Udacity
Upgrade your skills from data novice to spreadsheet wizard, calculating and forecasting key financia...
by Udacity
Learn to collect and analyze data, model marketing scenarios, and communicate your findings with Exc...