Courses
Find the right course to build your skills or take the next step in your career.
328 courses

Live + Self-paced
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Take your machine learning expertise to the next level in this comprehensive, hands-on course designed to transform foundational ML knowledge into practical, real-world applications. Move beyond standard Jupyter notebooks and explore how professional ML engineers build and deploy machine learning...

Live + Self-paced
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Learn the fundamentals of machine learning, including regression analysis and classification algorithms, in this practical, hands-on course. Gain the skills needed to solve real-world problems using machine learning, with a focus on Python programming and data science libraries.

Live + Self-paced
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Learn Python programming from scratch. Master variables, data types, loops, and functions, and tackle real-world challenges with object-oriented programming. Create a GitHub portfolio to impress employers and master practical Python skills.

Live + Self-paced
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Learn Django, a Python web framework, for developing web applications. Gain experience with URL dispatchers, querying models, and automating tasks with Django. Then, explore Django REST framework, a toolkit for building web APIs, to work with images, authentication, and API endpoints.

Live + Self-paced
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Create, style, and enhance web apps with AI capabilities. In this advanced Python course, you'll develop a powerful sentiment analysis web application with Flask and the OpenAI API integration and learn how to take your coding projects to the next level with AI.

Live + Self-paced
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Learn how to use Python to extract data from websites and write loops for processing a large number of pages. This course covers topics such as HTML and CSS, Python fundamentals, web scraping exercises, storage and scheduling, and real-life examples of scraping valuable data.

Live + Self-paced
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Unlock the power of Python for data-driven decision-making as you master Python programming fundamentals and dive into data analysis. Acquire essential skills to clean and manipulate data, create insightful visualizations, and perform statistical analysis, all through hands-on projects with real-...

Live
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Learn Python financial libraries, gather/manipulate financial data, fetch company and economic data from APIs, analyze SEC financial statements, build risk models, and apply linear regression for stock price predictions. Ideal for finance professionals.

Live + Self-paced
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Learn how to build dynamic web applications with React in this comprehensive bootcamp. From the basics of React and Node.js to advanced components and server deployment, you'll gain the skills necessary to create fully-functioning web apps.

Live + Self-paced
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Learn the fundamentals of blueprint reading for residential construction, from understanding drawing types to interpreting complex construction documents, to gain a solid foundation for your career in the construction industry.
Frequently Asked Questions
How do I choose a course for my goals?
Start with the skill you want to learn and the work you want to do with it. Compare the syllabus, projects, instructor feedback, total cost, and time commitment. A short course can help you explore a topic; a longer program may offer more structure and practice.
Should I choose a live, self-paced, or in-person course?
Live classes provide scheduled instruction and opportunities to ask questions. Self-paced courses give you more control over when you study, but check what support and deadlines are included. For in-person options, factor in travel as well as class and practice time.
Do I need experience before enrolling?
Entry requirements vary. Read the prerequisites and look for required software, technical skills, or an admissions assessment. If you are new to the subject, try an introductory lesson and ask the provider how it supports beginners before committing.
Can a course help me change careers?
A course can help you build skills and projects, but completing it does not guarantee a job. Compare the curriculum with the roles you want, read alumni reviews, and ask what career support and outcomes data the provider shares.