Data Science Bootcamp (Irvine, CA)

Data Science Bootcamp

This workshop will guide the aspiring Data Scientist through modeling and machine learning. You will use machine learning methods to validate and evaluate data models. As a beginning Data Scientist you will learn how to load data into Python. Interpret and visualize the data while dealing with variables and missing values. We will teach you how to come to sound conclusions about your data despite some real-world challenges. By the end of this course you will have an understanding of applied predictive modeling methods and the know how to use existing machine learning methods in Python. This will allow you to work with team members in a data science projects find problems and come up solutions. This course is for IT professionals aspiring to be Data Scientists students who want to learn about Data Science Statisticians Project Managers who want to expand their horizon into Data Science and any person who is interested in Data Science. Takeaways In this workshop you ll learn an in-depth process of Data Science Collect data from a variety of sources (e.g. Excel web scraping APIs and others) Explore large data sets Learn to use Python for executing Data Science Projects Master the application of Analytics and Machine Learning techniques Know how to use matplotlib and seaborn libraries to create beautiful data visualization. This is a very practical and hands-on workshop that has lots of class exercises. Through this course we strive to make you fully equipped to become a developer who can execute full fledged Data Science projects. Prereqs & Preparation You must bring a laptop with a text editor. Sublime Text is recommended and has a free trial version ( www.sublimetext.com ). In addition students should install Anaconda which is a free package that includes python and a number of tools that will be used in class ( continuum.io downloads). Anyone taking this course should have some minimum experience with programming with R Python or any other programming language. If not We offer our Python Foundation Course for free Schedule 2 13-14 and 2 20-21 and 2 27-28 Session I (Day1 9 am - 5 pm) Free Python Foundation Course About Python Data Types Conditionals Loops Functions Session II (Day2 9 am - 5 pm) The Basics Data Collection and Exploration Data Cleaning and Visualization Introduction to Machine Learning Session III (Day3 9 am - 5 pm) Fundamental Modeling Techniques K-Nearest Neighbors Classification Naive Bayes Classification Regression and Regularization Logistic Regression Session IV (Day4 9 am - 5 pm) Modeling Techniques Continued & Analytics K-Means Clustering Ensemble Techniques Dimensionality Reduction Decision Trees and Random Forests Session V (Day5 9 am - 5 pm) Tools Recommendations Systems Database Technologies Map-Reduce Session VI (Day6 9 am - 5 pm) Hack-A-Day Final Project Working Session Final Project Presentation Discussion of resources & tools Follow Us On Social Media Facebook s www.facebook.com thedevmasters Twitter s twitter.com thedevmasters