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via Udemy |
Go to Course: https://www.udemy.com/course/learn-python-in-3-hours/
Certainly! Here's a comprehensive review and recommendation for the Coursera course "Learn Python in 3 Hours" based on the provided details: --- **Course Review and Recommendation: "Learn Python in 3 Hours" on Coursera** **Overview:** "Learn Python in 3 Hours" is a fast-paced, intensive course designed for programmers who need to quickly get up-to-speed with Python. Made from the ground up to maximize learning in a short amount of time, this course aims to take you from zero to proficient in Python, even if you have no prior experience with the language. **Who is this course for?** This course is ideal for experienced programmers who are proficient in other languages but need a quick, practical introduction to Python. It’s perfect for those who find themselves stuck with disconnected tutorials or guides and want a streamlined, coherent learning experience that emphasizes hands-on skills. **Content and Approach:** The course draws on many years of Python development experience in large enterprises and startup environments, emphasizing a practical, action-oriented methodology. The instructor's background in rapidly iterating and deploying products in high-pressure settings ensures that the curriculum is relevant, efficient, and geared toward real-world application. The lessons focus on practical skills, so you can expect to be able to write functional Python code by the end of the three hours. The course covers core Python concepts, syntax, and crucial programming patterns, all delivered in a concise, engaging manner. **Instructors and Content Quality:** The course is presented by experts associated with Colibri, a consultancy with a strong track record in data science, big data, machine learning, and cloud computing. Their extensive practical experience translates into a curriculum tailored for immediate application, especially in data-driven and fast-paced project environments. **Pros:** - Condensed and efficient, perfect for busy professionals. - Hands-on, practical focus designed from real-world startup and enterprise experience. - Suitable for programmers with existing language expertise. - Focuses on fast learning and quick deployment. - Well-suited to enhance your CV and professional skillset rapidly. **Cons:** - The rapid pace might be overwhelming for absolute beginners. - Limited scope for deep theoretical understanding due to the short length. - Not suitable for comprehensive Python learning but an excellent quick-start guide. **Final Verdict:** If you're an experienced programmer needing a quick but thorough introduction to Python, this course is highly recommended. It will enable you to integrate Python into your skillset swiftly, demonstrate competency to your team, and leverage Python’s power in your current or future projects. The instructor's emphasis on practical, real-world applications ensures you'll gain valuable skills that can be immediately applied. --- **In Summary:** "Learn Python in 3 Hours" is a highly effective, concise course for professionals seeking rapid proficiency in Python. Its practical approach rooted in real-world experience makes it a valuable asset for developers looking to broaden their skillset quickly and efficiently. --- Would you like me to help you with a specific course link or additional tips on how to approach this course?
You are a programmer. You already know many languages, but Python isn't one of them. Today, you need to get up-to-speed with Python in a short period of time, but your search has so far come up with disconnected, unrelated tutorials or guides. Learn Python in 3 hours is a fast-paced, action-packed course that maximizes your time; it's designed from the ground up to bring you from zero to hero in the shortest time. The course is based on many years of Python development experience in both large enterprises and nimble startups. In particular, the course's hands-on and practical approach comes from the author's experience in rapidly iterating and shipping products in a startup setting, where responsiveness and speed are key. With Learn Python in 3 hours, you will be up-and-running with Python like you are with your other languages, proving your value and expertise to your team today, and building your CV and skillset for tomorrow. About The Author Colibri is a technology consultancy company founded in 2015 by James Cross and Ingrid Funie. The company works to help its clients navigate the rapidly changing and complex world of emerging technologies, with deep expertise in areas like big data, data science, Machine Learning, and Cloud Computing. Over the past few years, they have worked with some of the world's largest and most prestigious companies, including a tier 1 investment bank, a leading management consultancy group, and one of the world's most popular soft drinks companies, helping all of them to better make sense of their data, and process it in more intelligent ways. The company lives by its motto: Data -> Intelligence -> Action. Rudy Lai is the founder of QuantCopy, a sales acceleration startup using AI to write sales emails to prospects. By taking in leads from your pipelines, QuantCopy researches them online and generates sales emails from that data. It also has a suite of email automation tools to schedule, send, and track email performance-key analytics that all feed back into how our AI generates content. Prior to founding QuantCopy, Rudy ran HighDimension.IO, a machine learning consultancy, where he experienced firsthand the frustrations of outbound sales and prospecting. As a founding partner, he helped startups and enterprises with HighDimension.IO's Machine-Learning-as-a-Service, allowing them to scale up data expertise in the blink of an eye.In the first part of his career, Rudy spent 5+ years in quantitative trading at leading investment banks such as Morgan Stanley. This valuable experience allowed him to witness the power of data, but also the pitfalls of automation using data science and machine learning. Quantitative trading was also a great platform from which to learn a lot about reinforcement learning and supervised learning topics in a commercial setting. Rudy holds a Computer Science degree from Imperial College London, where he was part of the Dean's List, and received awards such as the Deutsche Bank Artificial Intelligence prize.