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intro-data-science's Introduction

Learn to Code: Introduction to Data Science with Python

Learn more Data Science with the Galvanize Data Science Prep Course - FREE | study at your own pace

Get to this repo by typing in URL: datapy.sage.codes

FAQ:

  • WIFI: Galvanize Guest | Password: Posted on the walls
  • Bathrooms: Behind you down the hall to the left
  • Kitchen outside back classroom door with Coffee & Tea!
  • Snacks + water in back of room

Overview

The goal of this brief course is to provide you with a fun introduction to the world of Data Science with Python.

Here's what we'll be doing:

  • Overview of basic Python and programming concepts
  • Building a simple application using Python
  • Playing around and break things

Setting up your computer

Please set up the following:

  • A web browser to see what we're working on as others see it (Recommend Google Chrome: [chrome.google.com] (http://chrome.google.com))

  • We're going to use Google Colab so you will need a Google account if you want to save your own copy.

Well... that was easy!

What this workshop is

A super friendly introduction to Python No previous experience expected!

You can't learn EVERYTHING in ~2 hours. But you can learn enough to get excited and comfortable to keep working and learning on your own! I will link to some resources, and I can email them to you later!

  • This course is for absolute beginners
  • Ask Questions!
  • Answer Questions!
  • Help others when you can
  • Its ok to get stuck, just ask for help!
  • Feel free to move ahead
  • Be patient and nice

About me:

Hello I'm Sage Elliott. I'm a Technology Evangelist here at Galvanize! For the past decade I've worked as a software and hardware engineer with Startups and Agencies in Seattle, WA and Melbourne, FL. I love making things with technology!

Note: I'm not a Galvanize Instructor, they're way better at teaching!

Reach out to me if interested in:

About you!

Give a quick Intro!

  • Whats your name?
  • Whats your background?
  • Why are you interested in Data Science?

What is Data Science?

Great question!

Different Companies and people will have different definitions for roles.

In general I like to broadly think of it as "Solving problems using data".

  • Data Collection and storage
  • Data Cleaning, prepping
  • Analytics, Metrics, gaining insights
  • A/B Testing
  • AI
    • Machine Learning
    • Deep Learning

Understanding the business problem is important for each step above.

Jobs in Data Science

  • The Data Analyst
  • The Data Engineer
  • The Data Science
  • Machine Learning Engineer
  • Deep Learning Engineer
  • Computer Vision Engineer
  • Natural Language Processing(NLP) Engineer
  • More!

Who uses Python?

I would say most major companies using Data Science and machine learning.

Other Languages: Scala, R

Popular Frameworks and libraries to keep in mind

  • Data Science
    • Pandas
    • MatplotLib
    • seaborn
    • Tensorflow
    • Keras
    • Numpy
    • Pandas
    • ScikitLearn
    • OpenCV
    • pytorch
    • A BILLION MORE!

Note: if you're thinking of exploring data science with python look into using Anaconda to manage your python and data libraries

Google Colab is a awesome place to start as well without having to install anything!

What we'll do!

We're going to:

  • Understand a dataset
  • Visualize the data in a meaningful way
  • Use Machine learning to make predictions

For this we're going to use:

  • Pandas
  • Matplotlib
  • ScikitLearn

Follow along and code in Google colab

URL: dsco.sage.codes

Keep learning!

I'll email these out to attendees with email addresses!

More learning resources:

Upcoming Events!

Visit the Learn to code Seattle meetup for all upcoming events.

What is Galvanize?

We create a technology ecosystem for learners, entrepreneurs, startups and established companies to meet the needs of the rapidly changing digital world.

  • Education
  • Co-Working
  • Events
  • Enterprise

Galvanize Classes

Immersive Bootcamp

Transform your career with our 13 week immersive programs

Part-Time Courses

Learn while working with out evening part-time classes

Co-working Space

work in our building!

Questions

Please feel free to reach out to me with any questions! Let me know what you're planning to do next and how I can help!

intro-data-science's People

Contributors

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