Data Science with Python (Ages 13 - 18)
- Intermediate
- 13 - 18 years old
- $2,250
- Earn 22,500 reward points
- 1 Morris St, New York, NY
- 60 hours over 10 sessions
Thankfully we have 24 other Python Classes for you to choose from. Check our top choices below or see all classes for more options.
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Noble Desktop @ 185 Madison Ave, New York, NY & Virtually Online
Gain the skills and knowledge to become a sought-after Data Scientist with hands-on training and mentoring from industry experts. Analyze data, create machine learning models, and build interactive visualizations using Python and SQL. Launch your career in data science and Python engineering positions.
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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.
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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.
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Jun 3rd
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Noble Desktop @ 185 Madison Ave, New York, NY & Virtually Online
Master the practical skills needed to create machine learning algorithms that can independently learn patterns and make decisions in this hands-on bootcamp. Gain the in-demand skillset that powers the majority of trading on Wall Street and the product recommendations at big companies like Amazon, Spotify, and Netflix.
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Jun 15th
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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.
Important: Registration Information
Prerequisites: Python 1 or equivalent 1 year of Python instruction.
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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Get quick answers from CourseHorse and past students.
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
Financial District, Manhattan
1 Morris St
Btwn Greenwich & Broadway Streets
New York, New York 10004 Financial District, Manhattan
1 Morris St
Btwn Greenwich & Broadway Streets
New York, New York 10004
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