dataacademy.commerce.govCommerce Data Academy | U.S. Department of Commerce

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U.S. Department of Commerce Menu Search ABOUT Our mission Meet the Secretary Blogs Press Releases Speeches Op-eds Leadership Bureaus and offices Strategic Plan Equity Equity (DEIA) Council DEIA Blogs Interagency Convening on Equitable Economic Growth Budget and performance Evaluation Past Budgets & Performance Reports Combined Federal Campaign Donate 2023 Commerce CFC Team Campaign Worker Resources CFC Events Leadership Video Messages History Origins: 1776-1913 Evolution: 1913-1995 Photos from 100th anniversary Secretaries of Commerce Speeches of past Secretaries Herbert Clark Hoover Building Policies Accessibility Artificial Intelligence Use Cases Inventory Comment policy Digital strategy IPv6 policy IT policy archive Information quality Open source code Plain language Privacy policy Social media and web 2.0 policy Vulnerability Disclosure Policy Contact us Website feedback ISSUES All issues Artificial Intelligence Cybersecurity Export and investment promotion First responder network Fisheries and aquaculture ICT Supply Chain Indo-Pacific Economic Framework Infrastructure Intellectual property Investing in communities and workers Manufacturing Minority business growth Regulatory reform Space commerce Trade enforcement Section 232: Aluminum Section 232: Steel Weather and satellites Workforce development Workforce Development – Investments Workforce Development - Employer Practices Workforce Development - Data NEWS All news Press releases Blog Speeches Fact sheets Op-eds Photos and videos Livestreams Archives Media contacts DATA AND REPORTS Overview Economic indicators Dashboard Release schedule Population statistics Environmental data Data catalog Reports Performance data Developer resources Data tutorials Bureau APIs Commerce.gov API RSS feeds Data WORK WITH US Overview Services for businesses Entrepreneurs Resources for Rural Communities Resources for Women Entrepreneurs Resources for the Military Community Job Quality Toolkit Drivers of Job Quality Job Quality Case Studies Grants and contract opportunities Careers Internships Resources for employees HAVANA Act HAVANA Act - Authorized Payment Frequently Asked Questions Bureaus and offices Contact us Bureaus and offices Contact us Search ABOUT Our mission Meet the Secretary Leadership Bureaus and offices Strategic Plan Equity Budget and performance Combined Federal Campaign History Policies Contact us ISSUES All issues Artificial Intelligence Cybersecurity Export and investment promotion First responder network Fisheries and aquaculture ICT Supply Chain Indo-Pacific Economic Framework Infrastructure Intellectual property Investing in communities and workers Manufacturing Minority business growth Regulatory reform Space commerce Trade enforcement Weather and satellites Workforce development NEWS All news Press releases Blog Speeches Fact sheets Op-eds Photos and videos Livestreams Archives Media contacts DATA AND REPORTS Overview Economic indicators Population statistics Environmental data Data catalog Reports Performance data Developer resources Data WORK WITH US Overview Services for businesses Job Quality Toolkit Grants and contract opportunities Careers Internships Resources for employees HAVANA Act Was this page helpful? Helpful Not helpful Breadcrumb Home Was this page helpful? Helpful Not helpful Commerce Data Academy This page is an archive of content and course materials from the Commerce Data Academy, which was organized by the Commerce Data Service under the Economics and Statistics Administration. With the closure of the Commerce Data Service, the Academy does not have any planned future courses at this time. However, most of the course materials and recordings are available for viewing below. The goal of the Commerce Data Academy (CDA) is to help educate and empower employees within the Department of Commerce to make data-driven decisions. We offer a variety of courses in state-of-the-art User Experience (UX)/User Interface (UI) Design, Software Engineering, and Data Science taught by expert instructors. We also have a leadership series that we recently started, which offers classes to upper- and senior-level management on data science and other related topics. Our in-residence program provides the most talented DOC employees with an opportunity to do a residency and work alongside the Commerce Data Service’s (CDS) professional developers and data scientists. Collaborators: General Assembly and Data Society Past courses and materials Data Science Basics (3/14/16) Intro to Git and GitHub (3/21/16) Intro to Python (4/6/16) Intro to Design and Photoshop (4/19/16) Intro to R (5/2/16) Intro to Data Analysis with R (5/17/16) Data Storytelling with R (6/1/16) Data Wrangling with Pandas (6/13/16) Intro to Machine Learning (7/11/16) Intro to JavaScript (9/29/16) Intro to Design and Photoshop (10/13/16) Intro to Data Analysis (11/16/16) Deep Learning (1/10/17) Intro to User Experience Design (2/7/17) Intermediate JavaScript and Intro to jQuery (2/21/17) Cybersecurity for Managers: An Introduction to the NIST Cybersecurity Framework (3/7/17) Intro to Qualitative Data Collection (3/21/17) Intro to Git and GitHub (5/9/17) Data Science Basics (3/14/16) Instructor Rebecca Bilbro Description What is data science? What kind of work do data scientists do? How are data products made? What is the data science pipeline? Topics covered Data Science, Data Products, Data Science Pipeline Software needed None Slides Download PDF (5 MB) Recording Watch on YouTube (open captions) Intro to Git and GitHub (3/21/16) Instructors Rebecca Bilbro, Pri Oberoi, Sasan Bahadaran Description Learn to work effectively on a data team and never lose your project again! Introduction to version control using Git software and the GitHub website. Topics covered Version Control, Git, GitHub Software needed Git GitHub Sublime or Atom.io Terminal or Powershell Slides Download PDF (3.9 MB) Recording Watch on YouTube (open captions) Additional resources Step-by-step tutorial on GitHub Intro to Python (4/6/16) Instructor Star Ying Description Learn basic syntax and how to get up running with Python 2.7. Topics covered Basic Syntax, List Comprehension, Packages, Looping, Pickling, Package Installation, Package Importing Software needed Git Sublime or Atom.io Terminal or Powershell Slides Download PDF (200 KB) Recording Watch on YouTube (open captions) Additional resources Python 2.7 Conda : a package, dependency and environment management system for any language, including Python Pip : the PyPA recommended tool for installing Python packages Intro to Design and Photoshop (4/19/16) Instructor Radhika Bhatt Description Learn the basic principles and concepts of design such as color theory, typography, branding, user experience design, and mobile design. Practice what you learn in Photoshop, and walk away with a design by the end of the class. This is an introductory-level course. Topics covered Design Principles, Color Theory, Adobe Programs and their uses, PhotoShop, UX Design, Mobile Design Software needed Adobe Photoshop: 30-day free trial available Slides Download PDF (5 MB) Recording Watch on YouTube (open captions) Intro to R (5/2/16) Instructor Star Ying Description Introductory course that covers basic R syntax, input and output, and basic statistical analysis. Topics covered RStudio, Basic Syntax, Data Frames, Loading and Writing Data, Summary Statistics, Regression Software needed RStudio Slides N/A Recording Watch on YouTube (open captions) Intro to Data Analysis with R (5/17/16) Instructor Pri Oberoi Description Given a dataset online, use...