Python for Data Science and Machine Learning Bootcamp on Udemy – Jose Portilla

The ‘Python for Data Science and Machine Learning Bootcamp Course’ is categorized as an intermediate-level course designed for those who have prior programming knowledge. The course is rated 4.6 out of 5 stars The course helps in learning the use of Python for analyzing data and creating beautiful visualizations as well as helps in using powerful machine learning algorithms.

Originally, this course is priced between INR 2,000 to INR 4,000. Students can Enroll Now and get an exclusive discount of up to 90% off the regular price by clicking on the link.

Course Highlights

Learning Outcomes

Course Content

Resources Required

• Prior Programming experience
• Admin permissions to download files

Comparison Table

Student Reviews

Check out the student reviews for the Python for Data Science and Machine Learning Bootcamp course,

• Natalie P. (5.0/5): “Awesome course. Jose Portilla is a great instructor, his explanations are crystal clear and easy to follow. The best part of the course are the exercises, you have coding exercises for each ML algorithm, for each visualization library etc. Practice is the most important part in my opinion and not all courses here offer many (or any) exercises. If you get stuck, the solutions notebook guide you through each step. Many thanks Jose!’’
• Saurabh K (5.0/5): “A very easy and clear to understand the concept dictated by the instructor. Learned a lot of new things looking forward to join some new course on machine learning. A big thanks to Mr. Jose Portilla.”
• Mike M. (5.0/5): “Jose P. is a great instructor. He is well organize. He builds his lectures step by step from basic fundamentals to complex topics. He points out important steps to avoid faults later on. He speaks clearly. I think it is helpful to review some statistic course to explain the topics. although he mentioned a book you can follow.”
• David M. (5.0/5): “This course was a really good. I came for the Python thinking it was a deep dive into python programming. The Visualizations was a bonus but eventually got over my head. That said the instructor,Jose, was really good and very thorough. Top Notch!! Highly Recommend!”
• Soheel H. (5.0/5): “This is an excellent course! Jose is a very good instructor, and the course is kept up to date as software changes unlike some others on Udemy. The course is very practically oriented, and focuses on actually using Python and Jupyter to do analysis rather than spending too much time on machine learning theory. You do get a high level overview of the mathematics of each machine learning technique, which I think will be sufficient for most people. There are lots of projects within the course, which really help you learn and understand the content. For those of you interested in the details of the mathematics, I recommend following this course up with Andrew Ng’s excellent free course on Coursera, which complements this course very well.
• Shalini D. (4.0/5): “the course gave me entire overview of data science , before this course i was too scared about machine learning topic, but sir has explained very well , now i’m too confident to explore more into machine learning topic. I really want to thank sir jose for this course and syllabus”
• Atikant K. (4.0/5): “Helps someone who’s just finished with basics of Python to get into data analysis and machine learning. A good starting point, once you have a grasp of Python.”
• Sukanya M (4.0/5): More expectation about the DL algorithms, so that how classification actually takes place would be clear for big data system. Multi Classification cases are not touched almost.
• Ufuk Kadir E. (3.0/5): “The course is basically good. But there are a few sections that are quite outdated, especially the last section with AWS. While we, the students, obviously don’t ask Jose to refilm everything every time a new update occurs on platforms, there should be explanations with up-to-date information and appropriate answers to questions the students have asked. Often times the answers in the Q&A are short (and not satisfactorily explained), and there are sometimes no answers at all. For me, for example, the lecture on AWS and Spark was completely undoable because I could not set it up even though I did all the steps some of the students have suggested (but no suggestion was given by either the TAs or Jose). If you still sell the course, then you have the obligation to update what you periodically check and find material that needs updating. Otherwise, it is just a bad reputation and falling behind of other platforms like MITx.”
• Matt H. (3.0/5): “Overall, the course is useful, easy to follow and covers a good amount of ground. The issue I have with it though is that it is poorly maintained, and some of the content is several years out of date (e.g. solutions including functions/methods that were deprecated from Python a long time ago). While a slight lag here is forgivable, and any course will always be a little bit behind the latest versions of Python and specific libraries, it doesn’t sit well with me that the instructor keeps the same outdated content for years while continuing to make money from selling the course. It’s not a bad course at all – I just think it would be a lot better if the content were kept up-to-date.”

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