Intro to Python 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 six-week part time course, you’ll learn how to program in Python; after completing the six-week course, you’ll be better prepared to learn data science. This part time course 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: Environment Setup 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 Denver Data Science Immersive; this course is designed to help you meet that bar. If you decide to enroll in our full-time course, the amount paid for this course will be discounted from the full-time course tuition. Prerequisites:Desire to learn. Setup:
• Bring your laptop and power cable.• Install Anaconda with Python version 3.6 on your machine: http://docs.continuum.io/anaconda/install.html• Install a text editor: https://atom.io• If you have trouble with installation, we will assist on the first day. Please follow this installation guide for the course Course Dates: Tuesday & Thursdays 6:00pm – 9:00pm_______________________ Week 1: October 16th & 18th Week 2: October 23rd & 25th Week 3: October 30th & November 1st Week 4: November 6th & 8th Week 5: November 13th & 15th Week 6: November 19th & 20th (*Monday and Tuesday due to Thanksgiving) Full Course Outline:Week 1: First class: Introduction to git, Github, Unix, Downloading software (Anaconda, git, Atom) Second Class: Variable assignment, Variable declaration, Loops, Control flow, Logic Week 2: First class: Introduction to Python data structures, Python libraries, Lists, Strings Second Class: Tuples, Dictionaries, and Sets Week 3: First class: Functions and Scope Second Class: Lab 1: Linking it all together Week 4: First class: Object Oriented Programming (OOP) Second Class: OOP Week 5: First class: Lab 2 – OOP Second Class: Introduction to Pandas, Dataframes Week 6: First class: DataFrame operations, Numpy Second Class: Introduction to Statistical Modeling – SciKit Learn and Statsmodels Refund Policy -Cancel more than 48 hours before first class: Full Refund (minus processing fee). -Cancel within the first week: Charged for 1 day of class, and reimbursed the remaining fees paid for the part time course. -Cancel after first week: Can apply cost to different program, no refund. Please contact firstname.lastname@example.org for more details.