Real-world projects from industry experts
With real-world projects and immersive content built in partnership with top-tier companies, you’ll master the tech skills companies want.
Learn Intermediate Python
Nanodegree Program
Gain practitioner-level skills with Python and learn the language powering transformation in Data Science, Machine Learning, and beyond.
04Days06Hrs56Min29Sec
Estimated time
2 months
At 10 hours / week
Enroll by
September 28, 2022
Get access to the classroom immediately upon enrollment
Prerequisites
Basic Python
What you will learn
Learn Intermediate Python
Estimated 2 months to completePython is a general-purpose coding language with applications in web development, data science, machine learning, fintech and more. The Intermediate Python Nanodegree program equips you to leverage the capabilities of Python and streamline the functionality of applications that perform complex tasks, such as classifying files, data mining a webpage, etc. By the end of the program, you’ll have a portfolio that demonstrates your ability to apply practicioner-level Python skills on the job.
Prerequisite knowledge
Advanced Python Topics
Begin by establishing a foundation in Python's methods to describe data, then dig deeper into functions and functional design, and create strategies for solving problems. You'll investigate the ins-and-outs of objects and object-based design, obtaining order from the interconnected ideas captured within class objects and instance objects. Finally, you'll have an opportunity to fuse Python with external files, culminating in the creation of complete codebases that can crunch numbers or protect the planet from peril.
Large Codebases with Libraries
Learn how you can write, structure, and extend your code to be able to support developing large systems at scale. Understand how you can leverage open source libraries to quickly add advanced functionality to your code and how you can package your code into libraries of your own. Apply Object Oriented Programming to ensure that your code remains modular, clear, and understandable. Honing these skills are the foundations for building codebases that are maintainable and efficient as they grow to tens of thousands of lines.
All our programs include:
Technical mentor support
Our knowledgeable mentors guide your learning and are focused on answering your questions, motivating you, and keeping you on track.
Career services
You’ll have access to Github portfolio review and LinkedIn profile optimization to help you advance your career and land a high-paying role.
Flexible learning program
Tailor a learning plan that fits your busy life. Learn at your own pace and reach your personal goals on the schedule that works best for you.
Program offerings
Class content
- Real-world projects
- Project reviews
- Project feedback from experienced reviewers
Student services
- Technical mentor support
- Student community
Career services
- Github review
- LinkedIn profile optimization
Succeed with personalized services.
We provide services customized for your needs at every step of your learning journey to ensure your success.
Get timely feedback on your projects.
- Personalized feedback
- Unlimited submissions and feedback loops
- Practical tips and industry best practices
- Additional suggested resources to improve
1,400+ project reviewers
2.7M projects reviewed
88/100 reviewer rating
1.1 hours avg project review turnaround time
Mentors available to answer your questions.
- Support for all your technical questions
- Questions answered quickly by our team of technical mentors
1,400+ technical mentors
0.85 hours median response time
Learn with the best.
Learn with the best.
Sam Redmond
Co-founder, Hedron VisionSam holds a BS in Math and MS in Computer Science from Stanford, where he created CS 41: The Python Programming Language and lectured for four years. Currently, he’s cofounding Hedron Vision, developing headset-free holographic display technologies.
Gabriel Ruttner
InstructorGabe is the CTO at Ursa & Tech Advisor for Start-Ups. Gabe has expertise in building cloud-based machine learning and natural language processing services at early stage tech companies. He holds technical degrees from Cornell University and Stony Brook University.
Learn Intermediate Python
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Best Value
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Gain practitioner-level skills with Python.
Average Time
On average, successful students take 2 months to complete this program.
Benefits include
- Real-world projects from industry experts
- Technical mentor support
- Career services
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