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Please register at Eventbrite: https://www.eventbrite.com/e/galvanize-data-science-immersive-info-session-seattle-tickets-54720380130 Join us and Galvanize staff for a Data Science Immersive Info Session to learn more about our 12-week immersive data science training program in Seattle, Washington! This program is for people who are serious about becoming data scientists. Over the course of 12 weeks, you'll learn the tools, techniques, and fundamental concepts you need to know to make an impact as a data scientist. You'll work through messy, real-world, data sets to gain experience across the data science stack: data munging, exploration, modeling, validation, visualization, and communication. Our unique setting in the Galvanize community of startups and tech companies is the perfect place to learn and expand your network! Agenda 6:30 - 7:15 PM : Course Overview, Admissions Process, Scholarship Information, Financing Options 7:15 - 7:30 PM : Question/Answer 7:30 - 7:45 PM : Individual Question/Answer and Mingling About Galvanize Galvanize is the premiere dynamic learning community for technology. With campuses located in booming technology sectors throughout the country, Galvanize provides a community for each the following: Education – part-time and full-time training in web development, data science, and data engineering Workspace – whether you’re a freelancer, startup, or established business, we provide beautiful spaces with a community dedicated to supporting your company’s growth Networking – events in the tech industry happen constantly in our campuses, ranging from popular Meetups to multi-day international conferences To learn more about Galvanize, visit galvanize.com.
This is a paid course. Learn more and apply here: https://www.galvanize.com/seattle/data-analytics Course Overview In this 12-week part-time, nights and weekends course you will gain industry-ready skills to help kickstart your career in data. Learn SQL, Advanced Excel, & Tableau Study part-time while maintaining your work schedule. Develop concrete, in-demand skills to graduate from the program ready to apply your knowledge in the professional world. Complete projects using real data sets from a range of fields including healthcare, government, social welfare, and more—allowing you to build a strong portfolio with a professional demonstration of mastery. Why Data Analytics? Do you want to work more closely with data in your career? This is a great course for those without prior math and programming skills who want to take the first step learning analytics. When does this course meet? You will meet at Galvanize Seattle's campus on Tuesdays & Thursdays from 6PM - 8:45PM and one Saturday per month from 9AM - 5PM. Career Growth is Our Focus Galvanize provides every student the structure and support needed to break in or break through to the next level in the career they want. With dedicated team that includes a career services manager, we offer support and guidance through our career services curriculum. This is a paid course. Learn more and apply here: https://www.galvanize.com/seattle/data-analytics
This is a paid course learn more and register here: https://www.galvanize.com/seattle/data-science-fundamentals Interested in learning more data science? In this six-week part-time course, you’ll learn how to program for the field in Python and be better prepared to learn data science like a professional. This workshop is for analysts, product managers, statisticians, business managers, and anyone else with little to no exposure to Python. It is taught by Galvanize's data science instructors and supported by the broader community. 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 Seattle Data Science Immersive. This course is designed to help you meet that bar. Prerequisites: A desire to learn. Note: Previous programming experience can be helpful but not necessary. Setup (please have this in advance): • Bring your laptop and power cable - strong preference for macs or linux.** • Install Anaconda with Python version 3.7 on your machine: http://docs.continuum.io/anaconda/install.html • Install a text editor: https://code.visualstudio.com/ • If you have trouble with installation, we will assist on the first day. **Instructors may not have the expertise to assist with troubleshooting on windows machines, and machines that do not use the above-mentioned computer specs. Weekly Agenda Mondays & Wednesdays, 6:30 pm – 8:30 pm Week 1: February 20th Week 2: February 25th and February 27th Week 3: March 4th and March 6th Week 4: March 11th and March 13th Week 5: March 18th and March 20th Week 6: March 25th and March 27th 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: More OOP Week 5: First Class: Lab 2 – OOP Second class: Introduction to Pandas, DataFrames Week 6: First class: Lab 2 – OOP Second class: Tying it all together Cost of the entire course: $1,900.00 + Eventbrite registration fees. Questions? For questions about this part-time course and our Data Science Immersive program, please email our Enrollment Officer, Lauren Lark at [masked]. 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 workshop. -Cancel after first week: Can apply cost to different program, no refund. This is a paid course learn more and register here: https://www.galvanize.com/seattle/data-science-fundamentals