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      Introduction to Python for Data Science Workshop (Online) in New York


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      June 6, 2019

      Thursday   6:30 PM

      This is an online event
      New York, New York

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      Introduction to Python for Data Science Workshop (Online)

      Introduction to Python for Data Science is a 3-hour workshop that teaches students how to use Python to extract, clean, and analyze data. This workshop is taught by a live instructor, so students have the opportunity to ask questions and receive feedback as they learn. Students will gain hands-on practice using Python for data science and leave the course ready to work on their own data science projects. This workshop will be held from 6:30 - 9:30 PM ET (3:30 - 6:30 PM PT) on Thursday June 6th, 2019. Early Bird price ends Friday May 24th (5/24/19). The deadline to register is 11:59 PM ET on June 4th (6/4/19). For more information, please visit our website. THIS IS AN ONLINE WORKSHOP Students who take our Intro to Python workshop qualify for a special tuition credit on our 8-week Data Science Foundations course for the cost of this workshop. About This Workshop Python has developed over decades into a versatile and hugely popular programming language for several reasons. It’s become an essential tool for data science and other scientific computing tasks, largely due to a thriving ecosystem of open-source libraries for analysis and visualization of large datasets. This course introduces students to working with Python packages that are commonly used for data science tasks like data manipulation and machine learning. First, we’ll cover basic Python syntax - showcasing the language’s intuitive code style and broad capabilities. We’ll demonstrate how students can easily start working with Python in Jupyter Notebook, an interactive computing environment that allows one to write and run live code - providing students with hands-on practice using Python for data science. Then, we’ll introduce students to Python’s powerful packages, extensions to the language that make it one of the most capable programming languages today. Students will gain familiarity with the Python packages focused on data-related tasks that form the Python data science "stack". Takeaways Ability to write and run Python code for data analysis in data science notebooks (data cleaning and reformatting, exploration, analysis). An introduction to the fundamental open-source data science libraries in Python and their roles, strengths, and weaknesses for data analysis (including: NumPy, Matplotlib, scikit-learn, & more). This is a hands-on workshop.  Students will be immersed in code, and develop scripts & notebooks, which they can take home for future use. Pre-requisites Basic technical ability, comfort with computers, and desire to learn new tools. Minimal experience using computers for analysis or repeated tasks (like formulas or macros in Excel). No installation necessary!  All course material is online - students only need internet access and a laptop with an internet browser (like Google Chrome or Mozilla Firefox). Frequently Asked Questions  What is the refund policy? Unfortunately, there are no refunds available. 

      Categories: Science

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