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Data Science with Python (Ages 13 - 18) is unfortunately unavailable

Thankfully we have 18 other Python Classes for you to choose from. Check our top choices below or see all classes for more options.

Python for Data Science Bootcamp

Noble Desktop @ 185 Madison Ave, New York, NY & Virtually Online

Uncover the power of Python for analyzing real-world data sets in this hands-on course at Noble Desktop. Explore Python fundamentals and learn how to create programs, work with data, visualize insights, and develop machine learning models. Elevate your data science skills with the Python for Data Science Bootcamp.

(372) All levels 18 and older
$1,495

5 sessions

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Intro to Python Programming

Noble Desktop @ 185 Madison Ave, New York, NY & Virtually Online

Discover the versatile and highly sought-after Python programming language in this comprehensive two-day course that will equip you with the skills needed to build software, analyze data, and create stunning websites. Join Noble Desktop as they guide you through hands-on exercises from day one, ensuring a solid foundation for future endeavors in data science or web development.

(372) Beginner 18 and older
$895

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Python Data Visualization & Interactive Dashboards

Noble Desktop @ 185 Madison Ave, New York, NY & Virtually Online

Master the art of visualizing data and creating interactive dashboards using Python. Gain hands-on experience with popular libraries such as NumPy, Pandas, Matplotlib, Seaborn, Plotly, and Dash Enterprise. Impress potential employers with your data science skills by working on real-life projects and demonstrating your coding and analytical abilities.

(372) All levels 18 and older
$1,695

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Python Data Science & Machine Learning Bootcamp

Noble Desktop @ 185 Madison Ave, New York, NY & Virtually Online

Learn how to apply Python to analyze data, create predictive models using machine learning, and automate tasks in this comprehensive data science course. Gain the necessary programming skills to excel in entry-level data science and Python engineering positions.

(372) Beginner 18 and older
$3,495

15 sessions

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Python for Automation

Noble Desktop @ 185 Madison Ave, New York, NY & Virtually Online

Learn how to automate time-consuming tasks and gather valuable data from the web using Python in this practical course. Perfect for programming beginners who use Python for web or software development. Prerequisite: Intro to Python Programming or Python for Data Science.

(372) All levels 18 and older
See all Python classes NYC

Data Science with Python (Ages 13 - 18)

  • Intermediate
  • 13 - 18 years old
  • $2,250
  • 1 Morris St, New York, NY
  • 60 hours over 10 sessions

Start Dates (0)

  • $2,250
  • USC - Financial District @ 1 Morris St, New York, NY 10004
  • 60 hours over 10 sessions
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Class Description

Description

What you'll learn in this python class:

Data Science with Python examines the process of data analysis using code, and is a prerequisite for any in-depth understanding of machine learning. In this course, we will learn the fundamental tools and structures that engineers at Google and other tech giants use to make sense of big data. Students will practice using code to answer questions and solve problems using real data from their communities, and integrate their findings into final projects to showcase their results.

What You'll Learn

Data Science with Python examines the process of data analysis using code, and is a prerequisite for any in-depth understanding of machine learning. In this course, we will learn the fundamental tools and structures that engineers at Google and other tech giants use to make sense of big data. Students will practice using code to answer questions and solve problems using real data from their communities, and integrate their findings into final projects to showcase their results.

Bash + Git

To become a developer, you need the right tools. Students will learn the crucial tools for collaboration and efficient coding by controlling their computers through the command line and use Git and Github for version control.

Advanced Python

Students will build on their Python experience by mastering nested data structures, object orientation, and interactions between multiple Python objects.

Queries & HTTP

In order to interact with data dynamically, students must think critically about where the data is coming from and how it gets from one application to another. Students will learn about GET, PUT, POST, and DELETE methods that conform to web standards.

Python REST API & JSON

Most data analysis is done in Python, but most data is stored in language-agnostic formats. Students will master the art of thinking about how data is handled differently in Python, in JavaScript, and in SQL.

Statistics

Measures like variability, standard deviation, mean, and volatility are profoundly useful metrics to understand information in a dataset. Students will develop a deep understanding of the significance and utility of these terms.

Data Analysis

A dataset is only as good as the questions you ask to examine it. Students will learn to ask questions that, when answered, can provide powerful conclusions about those datasets.

Data Visualization

Data analysis is ultimately intended to guide decisions and foster discussion or debate. Students will learn to present their findings in a visually striking way, selecting the format that best supports the conclusions they have drawn.

Communication of Data

Data analysis is a powerful tool to examine real issues relevant to communities one cares about. Students will engage with data relevant to communities they care about and conscientiously communicate their findings.

Debugging

Part of being a great developer is learning to find and fix "bugs". Throughout the course, we introduce students to debugging best practices in Python, specifically when used with large datasets.

A Day at Upperline Code

Our days are packed with code, collaboration, and creativity. All of our classes are project-based, focused on student interests, and teaching industry aligned skills.

  • 9:00am - 9:30am - Review challenge, warm-up, and welcome
  • 9:30am - 10:00am - New concept code-along
  • 10:00am - 11:30am - Practice labs and challenges
  • 11:30am - 12:30pm - Lunch
  • 12:30pm - 1:15pm - Small-group breakout sessions
  • 1:15pm - 2:45pm - Partner project challenge
  • 2:45pm - 3:00pm - Debrief and feedback

Important: Registration Information

  • If the participant is under the age of 18, a parent/guardian must complete the registration on behalf of the student that will be attending.
  • The 'Contact Information' should be the student's parent/guardian information.
  • The same Zoom link will be used each day, emailed to the 'Contact' 24 hours before the class begins.

Prerequisites: Python 1 or equivalent 1 year of Python instruction.

Refund Policy

  • Cancellations made 31 business days before a class start date are eligible for a full refund less a $100 administrative fee per course.
  • Cancellations less than 31 business days before a class start date are not eligible for a refund.
  • Camp fees are not refunded or prorated for days of camp missed due to illness or injury.
In any event where a customer wants to cancel their enrollment and is eligible for a full refund, a 5% processing fee will be deducted from the refund amount.

In the event that an instructor or the school needs to cancel at the last minute, students will receive a refund less a 5% non-refundable registration fee.

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  • This class will earn you 22500 points. Points give you money off your next class!

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Upperline School of Code

Upperline School of Code builds and runs fun, rigorous, and collaborative programming classes for high school students. We teach students how to code through our immersive summer courses, workshops, and after-school programs throughout the New York City area. Our students learn to build web applications...

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Upperline School of Code

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