Beginning Python for Data Science

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Beginning Python for Data Science-0
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60 min
Group Course
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Beginning Python for Data Science-0

Designed as an introduction to Python, the student will go from zero coding experience to being able to import, clean, explore, and export a dataset using the essential packages a data scientist uses on a daily basis.


What you'll learn

The student will learn the basics of Python in a practical way. Instead of following topical studies (packages, variables, lists, etc.), my course will teach you how to set up your Python notebook, how to import your tools and data, clean your data, explore it, visualize it in Python, and export your findings. NO CODING EXPERIENCE is necessary. In fact, this course is designed for those who are just starting out and want a practical how-to guide without getting too deep into any one co... 
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This class is perfect for

Intended for anyone who wants to learn the basics of data analysis using Python. It is ideal for those who have zero coding experience, are just starting to learn Python, and who want to approach Python by doing instead of reading.

Listing availability

(Timezone: Etc/UTC)

Jan 01-07, 1970


What to bring

Students should have at least Python 3.0 and access to a coding environment. Jupyter is recommended. If you don't know what that means, don't worry - I will walk you through how to get that on your system.
Tickets
Group sessionUp to 19 seats
Group sessionUp to 19 seats

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Learn ,data-science.python, with Scott F | Amphy
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Scott Filleman

Your teacher

Dr. Filleman's experience in education is extensive. While his focus has been in K-12 instrumental music education, he has also taught 6-12 grade English and US History. He served as a school administrator for four years, and a university professor for three. He has created award-winning band and choir programs from the ground up at seven school sites in two states at the elementary, middle, high school, and university levels. His familiarity with using data to make decisions at a variety of management levels gave him a unique perspective when transitioning careers into data science. He was able to craft his own curriculum using online and print resources that demonstrated he could easily communicate to diverse stakeholders, a wide variety of domains, and target the data for a given audience. He currently works in the field of aviation, focusing on using data science to improve safety.





















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