Learn to Code: Introduction to Data Science with Python

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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 Keenan Olsen. I'm a Developer Evangelist here at Galvanize! For the past decade I've worked as a software and hardware engineer with Startups and Agencies around the world. I love making things with technology!

Reach out to me if interested in:

breaking into the tech industry
learning resources
meetup recommendations
learning more about Galvanize
giving me suggestions for events!
being friends
Twitter: @KeenanOlsen
LinkedIn: Keenan Olsen
Email: keenan.olsen@galvanize.com

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

Data Analyst
Data Engineer
Data Scientist
Machine Learning Engineer
Deep Learning Engineer
Computer Vision Engineer
Natural Language Processing(NLP) Engineer
Product Manager
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
- Tensorflow
- Numpy
- Pandas
- NLTK
- OpenCV
- 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

Intro to data Science with Python Google Colab

Keep learning!

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

More learning resources:

Upcoming Events!

We host so many events! check out our calendar

Visit the Learn to code San Francisco meetup for all upcoming events.

What is Galvanize?

Immersive Bootcamp

Part-Time Courses

Co-working Space

work in our building!

Contact me if you'd like to do a tour or day pass!

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!

keeno12/intro-data-science

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