Are you interested in learning more data science? You know it’s necessary to be a strong programmer, but you don’t know how to get started. In this workshop, you will learn the fundamentals of the Python programming language, a tool used by developers, engineers, and scientists worldwide.
This workshop is for analysts, product managers, statisticians, business managers and anyone else who wants to build their Python skills for data science.
What You’ll Learn / Takeaway:
Whether you’ve programmed in other languages or Python is your first, this class will teach you the nuances of Python and how to use them to your advantage in your data science projects. Here’s what you’ll learn:
Data Scientist Workflow
Ins and Outs of Coding Pythonically
Object Oriented Programming
Popular Data Science Libraries including Matplotlib, Pandas, Numpy, Sklearn
Who Should Take this Class?
For those of you interested in learning to program in Python, so you may be better prepared for self study in data science, this course will help you get up to speed.
Those of you who are interested in gaining the skills required for admittance to the San Francisco Data Science Immersive; this course is designed to help you meet that bar.
Desire to learn.
• Bring your laptop and power cable.
• Install Anaconda with Python version 2.7 on your machine: http://docs.continuum.io/anaconda/install.html
• Install a text editor: http://www.sublimetext.com/
• If you have trouble with installation, we will assist on the first day.
Meet Your Instructor:
Steve is an engineer and researcher in the areas of machine learning, signal processing, and music information retrieval. He received received a Ph. D. in Electrical Engineering from the University of Maryland, College Park, where he researched music information retrieval and digital image forensics as a member of the Signals and Information Group, under his advisor K. J. Ray Liu.
In 2011, he joined Imagine Research as a research engineer and U. S. National Science Foundation postdoctoral fellow. In 2012, Imagine Research was acquired by iZotope, maker of Emmy Award-winning audio production and enhancement software. He helped iZotope develop MediaMined, a search engine for general sounds including music, speech, and environmental sounds.
From 2011 to 2016, he helped instruct the annual workshop on music information retrieval at the Center for Computer Research in Music and Acoustics(CCRMA) at Stanford University.
Steve maintains musicinformationretrieval.com, a collection of IPython notebooks on music information retrieval.
Monday, Tuesday & Thursday, 6:30 pm – 9:30 pm
Dates : 11/7 - 12/8 (Off Thanksgiving Week)
Duration: 4 Weeks (3 nights per week)
Day 1, Nov 7: Introduction to git, Github, Unix, Downloading software (Anaconda, git, sublime)
Day 2, Nov 8: Variable assignment, Variable declaration, Loops, Control flow, Logic
Day 3, Nov 10: Introduction to Python data structures, Python libraries, Lists, Strings
Day 4, Nov 14: Tuples, Dictionaries, and Sets
Day 5, Nov 15: Functions and Scope
Day 6, Nov 17: Lab 1: Linking it all together
Day 7, Nov 28: Object Oriented Programming (OOP)
Day 8, Nov 29: OOP
Day 9, Dec 1: Lab 2 – OOP
Day 10, Dec 5: Introduction to Pandas, Dataframes
Day 11, Dec 6: DataFrame operations, Numpy
Day 12, Dec 8: Introduction to Statistical Modeling – SciKit Learn and Statsmodels