Crush the Take-Home, Part 2: Intro to Stats
Please note that this is a 2-day class & will take place on the consecutive evenings of Wednesday, May 24th, & Thursday, May 25thand will cover the same material as the Intro to Stats Meetup hosted last month.
Wednesday, May 24, 6:30 pm - 8:30 pm & Thursday, May 25, 6:30 - 8:30 pm
Are you interested in becoming a Data Scientist, but don't know where to start?
The first two steps are to have a solid understanding of the principles of statistics, & knowledge of a programming language to implement them (often Python).
Galvanize's Crush the Take-Home: Intro to Stats is designed to give you the stats knowledge required to enter our full-time, 12-week Data Science Immersive program.
Please note that space is limited & priority will be given to attendees who intend to apply for the immersive program.
Main topics covered:
Day 1: Probability, Random Variables, Probability Distributions
Day 2: Statistical inference, Hypothesis Testing, Linear Modeling, Evaluation Metrics
Day one begins with a gentle introduction to probability & the major distributions used in statistics.
On the second day, we dive further into how to make use of probability distributions for inference & hypothesis testing. We then introduce regression & classification through the use of examples. Finally, we discuss some of the commonly use methods of evaluating model results.
Because knowing Python is a prerequisite for the Data Science Immersive program, we will rely on Python libraries to explore statistics concepts & expect attendees to be able to code along.
What you need for class:
BYOL (fully charged). Please be ready with Python-equipped laptop capable of running jupyter notebooks.
If you do not have Python, we recommend installing the Anaconda distribution (for free!) with version 2.7 or higher.
About our Sponsor
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 & full-time training in web development, data science, & 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, visitgalvanize.com.