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Data Science

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This is a part-time course. Skills & Tools: Use Python to mine datasets and predict patterns. Production Standard: Build statistical models--regression and classification--that generate usable information from raw data. The Big Picture: Master the basics of machine learning and harness the power of data to forecast what's next. What You'll Learn: Unit 1: Research Design and Exploratory Data Analysis What is Data Science Describe course syllabus and establish the classroom environment Answer the questions: "What is Data Science?

Monday, April 16, 2018 - 6:00pm
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This is a 12-week full-time career accelerator course. Learn the tools and techniques you need to make better decisions through data, and land a job in one of the most sought after fields in tech. Learn from Experts: Create predictive models by learning to wrangle, analyze, and visualize data from our team of professional Data Scientist instructors. Gain Hands-On Experience: Develop hard skills like Unix, Git, SQL, Python, machine learning, and modeling techniques while creating your own data projects and applications.

Monday, April 23, 2018 - 10:00am
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Explore how to launch a new career with in-demand skills in data science. Join us on campus to learn more about our transformative Data Science Immersive and the benefits of becoming part of the global GA community. During the info session, youll: Preview the Data Science Immersive's curriculum and projects. Meet an expert instructor and hear about about their experiences in the field. Learn about job search support and networking opportunities youll receive as an immersive student.

Monday, January 22, 2018 - 6:30pm
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See how the predictive power of data drives modern business. During our introductory workshop, explore the job Harvard Business Review has dubbed the sexiest of the 21st century, and see how modern businesses are harnessing the power of data to drive innovation. Working with real-world case studies, youll: Learn what data scientists do and the types of problems they solve. Walk through the typical data science workflow and see how the pros identify powerful business predictions. Explore key tools and processes data scientists use to analyze, visualize, and model data.

Wednesday, January 31, 2018 - 10:00am
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This five week course is an introduction to data analysis with the Python programming language, and is aimed at beginners. We introduce how to work with different data structure in Python. We cover the most popular modules, including Numpy, Scipy, Pandas, matplotlib, and Seaborn, to do data analytics and visualization. We use Ipython notebook to demonstrate the results of codes and change codes interactively during the class. Our past students include people have no programming experience and people have little exposure by taking Python class.

Sunday, June 10, 2018 - 1:00pm
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This class will introduce you a wide range of machine learning tools in Python. The main focus is on how to use those tools to solve real world problems. Machine learning is a combination of statistical models with programming. After successful completion of this course, students will be able to carry out your experiments with the public available algorithms or develop your own algorithm.

Sunday, June 10, 2018 - 1:00pm
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This class introduces a number of statistical models for supervised and unsupervised learning using R programming language. The goal is to understand the concepts, methods, and applications of the general predictive modeling and unsupervised learning and how they are implemented in the R language environment. A selection of important models (e.g. tree-based models, support vector machines) will be introduced in an intuitive manner to illustrate the process of training and evaluating models.

Saturday, June 9, 2018 - 10:00am
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This full-time, 12-week data science experience hones, expands, and contextualizes the skills brought in by our competitive student cohorts. Incorporating traditional in-class instruction in theory and technique, students use real data to build a five-project portfolio to present to potential employers and have access to full career support throughout and after the bootcamp. Here's what you'll learn at the bootcamp. Online Pre-Work: 25 hours minimum of academic pre-work and variable hours to setup.

Monday, April 9, 2018 - 9:30am
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In this program students will learn beginner and intermediate levels of Data Science with R, Python & Hadoop as well as the most popular and useful R packages like Shiny, Knitr, rCharts and more. Once the foundation of learning has been built, students work on a 2-week, hands-on project. During the final week, students will have interview and coding prep and get access to our online recruiting platform and our personal network within the data science community.

Monday, April 2, 2018 - 9:30am
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This is a part-time course. Skills & Tools: Use Python to mine datasets and predict patterns. Production Standard: Build statistical models--regression and classification--that generate usable information from raw data. The Big Picture: Master the basics of machine learning and harness the power of data to forecast what's next. What You'll Learn: Unit 1: Research Design and Exploratory Data Analysis What is Data Science Describe course syllabus and establish the classroom environment Answer the questions: "What is Data Science?

Tuesday, March 20, 2018 - 6:30pm

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