Python is a popular and powerful programming language that has long been a preferred backend tool in web development and is also quickly becoming the de-facto language of Data Science.

This workshop is a hands-on introduction to Python programming for absolute beginners, with a focus on programming fundamentals and how you can use code to solve real-world problems. In this class, we will also discuss Python's role in the Data Science workflow, and dive into how to use Python for basic data analysis.

This bootcamp is designed to teach core Python coding concepts through practical examples and guided practice.

How our sessions work

We host these live online classes out of our office in Cambridge, MA. Guests tune in online to watch the live presentations. During the presentation, we set up a question and answer platform where participants can submit questions and have them answered. You'll be sent the webinar access information the week before the start of the course.

This online-only bootcamp has three sessions, from 6:30pm - 8.00pm EST on June 14, June 21 and June 28.

Curriculum

Session 1: Wednesday, June 14, 6:30pm - 8pm

- Python basics

- The Jupyter environment

- Simple data types

Session 2: Wednesday, June 21, 6:30pm - 8pm

- Compound data types

- Data in the real world

Session 3: Wednesday, June 28, 6:30pm - 8pm

- if statements

- for loops

- putting it all together: how scripts work

Goals

In this class, you will:

• learn the basic tools and techniques you need to start programming in Python.

• learn how to do basic data analysis using Python.

• gain an understanding of Python’s role in the data science ecosystem.

• get started writing and running Python scripts.

Prerequisites

• no prior coding experience is required, but some comfort with computers is needed.

• please install the Anaconda distribution on your laptop before class.

About the instructor

Claudia Virlanuta

Claudia is a Data Scientist and Co-Founder at Edlitera, an education company dedicated to enabling people to future-proof themselves and close the technical skills gap. In addition to Edlitera, Claudia also holds an Adjunct Faculty position at Harvard University.

Prior to starting Edlitera, Claudia earned her degree in Economics from Yale, and worked in biotech, marketing technology, and most recently in ecommerce on Wayfair’s Data Science team. She is a passionate advocate for diversity in tech, and she is also the founder of Data Women, a Boston-area group for women in Data Science and Analytics.

Refund policy

Unfortunately, there are no refunds available.