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Data Science

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This two-day course provides an overview of how Python can be used in Data Science to manipulate, process, clean, and crunch data. It is an introduction to scientific computing in Python focusing data-intensive applications. Specifically, the class will review the essential Python libraries: NumPy, pandas, matplotlib, IPython, and SciPy. Audience Students wanting use Python in data analytics applications. Prerequisites Students should have taken an introductory Python course or have six months of Python programming experience.

Thursday, May 3, 2018 - 10:00am
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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, April 21, 2018 - 10:00am
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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, September 9, 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, September 8, 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, September 9, 2018 - 1:00pm
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This intensive class will introduce you to the wonderful world of R and provide you with an excellent understanding of the language that leaves you with a firm foundation to build upon. From the rudimentary building blocks of programming basics, to data manipulation and use of advanced drawing packages, the course will conclude with a demonstration of a project of your choice on Project Demo Day. For Demo Day you will access and analyze real data, utilizing the tools and skill set taught to you throughout the course.

Saturday, September 8, 2018 - 10:00am
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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, April 14, 2018 - 10:00am
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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.

Thursday, April 26, 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.

Saturday, April 21, 2018 - 10:00am
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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.

Sunday, April 29, 2018 - 10:00am

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