Coder Social home page Coder Social logo

blomadam / data-science-101-cwe-materials Goto Github PK

View Code? Open in Web Editor NEW

This project forked from westonwill/data-science-101-cwe-materials

1.0 0.0 1.0 22.02 MB

Curriculum materials for General Assembly's "Data Science 101"

License: Other

Jupyter Notebook 100.00%

data-science-101-cwe-materials's Introduction

Data Science 101

Welcome to General Assembly's Data Science 101. This repository contains all of the materials supplied for this workshop.

Value Proposition

Data Scientist is the "sexiest job of the 21st century", according to Harvard Business Review. Despite all the hype surrounding big data, data scientists know that the size of your data doesn't matter - it’s what you do with it. This workshop represents the first step towards avoiding buzzwords and improving your data literacy.

Data science is a core element of modern business, but most people don’t know how to harness data to drive their vision. Before diving into analysis, it’s important to define a clear approach based on organizational goals and objectives. From there, data science can help you understand and analyze trends in order to make accurate predictions and data-driven recommendations.

In this workshop, we’ll define what data science is, review some of the main tools used by data scientists today, and discuss how these tools can be implemented in real world workflows using examples and case studies.

Students Will Learn How To:

  • Explain the field of data science, defining common roles, benefits, and trends.
  • Explore some popular tools and resources to visualize, analyze, and model data.
  • Recognize the different types of problems that can be solved by data scientists.
  • Apply the data science workflow to provide real world recommendations.

Included in this repository:

  1. Onboarding Materials - Background context & instructions for how to make use of our materials.

  2. Teaching Materials - Lesson plan, activities & assessment, deck, and handout.

To Get Started

If this is your first time teaching this workshop, welcome!! Please take 15 minutes to read through the following onboarding materials to help get an understanding of your responsibilities as an instructor and gain some background context on this course.

Document Description
Roadmap Prerequisites and suggested follow-up plan
Resources Description of tools used and relevant policies for this workshop

Contributing

We encourage instructors to fork this repository directly. We hope you'll suggest improvements by submitting issues or pull requests as needed!

Please check out our contributing guidelines for more details.

Licensing

  1. All content is licensed under a CC-BY-NC-SA 4.0 license.
  2. All software code is licensed under GNU GPLv3. For commercial use or alternative licensing, please contact [email protected].

data-science-101-cwe-materials's People

Contributors

jeff-boykin avatar jnappy avatar rogelj avatar westonwill avatar

Stargazers

 avatar

Forkers

dsoppas

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.