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Data Analysis Workshop Series

Introduction to Python


Workshop Details

This workshop is part one of four in our Introduction to Data Analysis for Aspiring Data Scientists Workshop Series.

In this workshop, we will show you the simple steps needed to program in Python using a notebook environment on the free Databricks Community Edition. Python is a popular programming language because of its wide applications including but not limited to data analysis, machine learning, and web development. This workshop covers major foundational concepts necessary for you to start coding in Python, with a focus on data analysis. You will learn about different types of variables, for loops, functions, and conditional statements. No prior programming knowledge is required.

Who should attend this workshop:
Anyone and everyone, CS students and even non-technical folks are welcome to join. No prior programming knowledge is required. *Please note, If you have taken Python courses in the past, this may be too introductory for you.

What you need:
Sign up for Community Edition here and access the workshop presentation materials and sample notebooks here.


Instructor: Chengyin Eng, Data Science Consultant at Databricks
Chengyin Eng is a Data Science Consultant at Databricks where she implements data science solutions and delivers machine learning trainings to cross-functional clients. She received her M.S. in Computer Science from University of Massachusetts, Amherst. Prior to that, she completed her B.A. in Environmental Studies and Statistics at Mount Holyoke College and spent her college years applying statistical modeling techniques to tree research. Thereafter, she worked in the life insurance industry and provided pro-bono data science service to NGOs. Outside of data science, Chengyin enjoys reading, photography, and leafing through outdoor markets for food and craft.

Video Transcript

that we’re bringing to you, Introduction to Data Analysis for Aspiring Data Scientists. So, this workshop is gonna be an Introduction to Python on Databricks.