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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, November 27, 2017 - 6:30pm
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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, November 27, 2017 - 6:30pm
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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, April 22, 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, April 21, 2018 - 10:00am
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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?

Tuesday, November 14, 2017 - 6:30pm
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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, January 16, 2018 - 6:30pm
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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.

Tuesday, January 16, 2018 - 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, December 11, 2017 - 6:30pm
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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 11, 2018 - 1:00pm

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