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Data Science

Today we analyze 1% of the world’s data. But machine learning and computing are opening unprecedented access to data, and with it, the ways we understand the world are evolving, and the skills we use to understand the world are changing. Galvanize is the leading bootcamp education for data science. We accelerate the careers of technical professionals and place more than 90% of our graduates into data-science and data-engineering roles. Our 12-week course is taught by vetted professionals, who often have years of both education and industry experience.

Tuesday, January 22, 2019 - 9:00am
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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 22, 2019 - 2:30pm
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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, March 10, 2019 - 9:00am
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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, March 10, 2019 - 9:00am
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In the last few years, Big Data, Data Science, Machine Learning, and Artificial Intelligence have become increasingly more popular in the healthcare sector. Predicting acute kidney injury after intravenous contrast injection two days before it occurs (Koyner et al.) and predicting cardiovascular risk factors solely from retinal exams (Poplin et al.) are some of the exciting uses of machine learning and deep learning algorithms in medicine. Its applications also extend to emergency department operations including flow management, quality control, and identification of at-risk patients.

Monday, February 11, 2019 - 4:00am
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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, March 10, 2019 - 9:00am
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Our program serves as the foundation for many well-known concepts of data science. We teach practical techniques and algorithms for extracting and studying useful knowledge from data. This course is not a theory class as we believe there are many ways to learn statistics and analytics concepts on your own. We are providing students with a set of practical tools for data science and knowledge on how to apply Python to solve linear algebra, statistics, and probability problems. This course is designed to fill the gap between theoretical academic research and the needs of the industry.

Saturday, March 23, 2019 - 6:00am
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Our program serves as the foundation for many well-known concepts of data science. We teach practical techniques and algorithms for extracting and studying useful knowledge from data. This course is not a theory class as we believe there are many ways to learn statistics and analytics concepts on your own. We are providing students with a set of practical tools for data science and knowledge on how to apply Python to solve linear algebra, statistics, and probability problems. This course is designed to fill the gap between theoretical academic research and the needs of the industry.

Saturday, March 16, 2019 - 6:00am
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Our program serves as the foundation for many well-known concepts of data science. We teach practical techniques and algorithms for extracting and studying useful knowledge from data. This course is not a theory class as we believe there are many ways to learn statistics and analytics concepts on your own. We are providing students with a set of practical tools for data science and knowledge on how to apply Python to solve linear algebra, statistics, and probability problems. This course is designed to fill the gap between theoretical academic research and the needs of the industry.

Tuesday, February 12, 2019 - 6:00am
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Our program serves as the foundation for many well-known concepts of data science. We teach practical techniques and algorithms for extracting and studying useful knowledge from data. This course is not a theory class as we believe there are many ways to learn statistics and analytics concepts on your own. We are providing students with a set of practical tools for data science and knowledge on how to apply Python to solve linear algebra, statistics, and probability problems. This course is designed to fill the gap between theoretical academic research and the needs of the industry.

Tuesday, January 22, 2019 - 6:00am

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