Organize and share your learning with Class Central Lists. Using a combination of a guided introduction and more independent in-depth exploration, you will get to practice your new Python skills with various case studies chosen for their scientific breadth and their coverage of different Python features. The lectures are very contained in their scope, but the scope of the problems jumps far beyond the lecture and requires much unsupported research (really guessing, in many cases!). Learn computer science and programming using Python from the instructors at MIT. Finally, nothing beats getting a pen and paper — it shocks me how much paper I’ve used for this class! The goal is to provide students with a brief introduction to many topics so they will have an idea of what is possible when they need to think about how to use computation to accomplish some goal later in their career. Get personalized course recommendations, track subjects and courses with reminders, and more. It is a very good introduction to computer science and python programming. In this course, you'll learn the fundamentals of the Python programming language, along with programming best practices. I have tried a few intro to computing courses, and this is hands-down by far the best. But you have to work a lot, not get frustrated and be ready to think out of the box and get out of the comfort zone to solve the problems. Massachusetts Institute of Technology The professors are engaging and the lectures are short and to the point. This book introduces students with little or no prior programming experience to the art of computational problem solving using Python and various Python libraries, including numpy, matplotlib, random, pandas, and sklearn. It aims to provide students with an understanding of the role computation can play in solving problems and to help students, regardless of their major, feel justifiably confident of their ability to write small … This item: Practical Programming: An Introduction to Computer Science Using Python 3 by Paul Gries Paperback CDN$44.55 Ships from and sold by PBS CA. The many practice quizzes are very useful and I could follow the first half of the course but when I encountered a problem with an exercise around the middle of the course I couldn't solve it and since I was too busy to find other help (e.g. Assignments: programming with examples; Course Description. Absolute beginners may want to first try Google's free Python course or some other quick introduction to the language. It was much harder and moved much quicker than any other MOOC I have taken. Nicole DeBonet completed this course, spending 12 hours a week on it and found the course difficulty to be very hard. At that time, I was 24, graduated from an Econ & Business university, beaten by the humiliating experience of working in a rigorous hierarchy, and most relevant, never touched programming. When you buy through links on our site, we may earn an affiliate commission. Biomedical Informatics: Computer Applications in Health Care and Biomedicine by Edward H. Shortliffe Hardcover CDN$184.47 This third edition of John Zelle’s Python Programming continues the tradition of updating the text to reflect new technologies while maintaining a time-tested approach to teaching introductory computer science. I personally enjoyed the instructor's sense of humour and barely contained enthusiasm for the subject. The Second Year of The MOOC: A Review of MOOC Stats and Trends in 2020, 40 Most Popular Online Courses Starting in January 2021, edX and Coursera Refresh their Brand: New Logos, New Homepages, The 100 Most Popular Courses During the Pandemic. Menu Course Review: 6.00.1x: Introduction to Computer Science and Programming Using Python 17 May 2016 on programming languages, online courses, computer science, python, programming. This course covers a lot of ground, so it may be demanding for a beginner. The class is somewhat medium-to-hard to follow and requires quite an attention and regularity of attendance (it's an esteemed MIT after all) but presenters and authors MIT's Professors John V. Guttag, Eric Grimson and Ana Bell did an extraordinary job of making a learning curve as gentle and pleasant as humanly possible. Great course! The forums were invaluable to completing the assignments and were full of very bright students with excellent questions. They expect you to solve some of the problems without giving you the information in the lectures. I entered the course with the aim of getting first hand education on python programming to enable me write scripts for digital design as an architect but I chanced upon a requisite knowledge I never earlier imagined. I'm taking this class as a refresher and as a way to dig into some sorting algorithms that I haven't used in awhile but if I was new to coding/python, I would find this class to be very confusing. Review "Disguised as a Python textbook, it's really an introduction to programming, using Python as the preffered medium for beginners." Use the practice quiz as an opportunity to think through the problems and identify areas where you need further review to achieve a solid understanding of the material. Will normally take around 12-15 hours a week, but if you are new might take long. This is an excellent course that will teach you some Python, but more importantly will teach you algorithmic thinking and how to break down large problems into simpler ones. I came into it with some self-taught Python knowledge and found it challenging but manageable. This was probably the best introduction to computer programming I have ever seen. It provides students with skills that will enable them to make productive use of computational techniques, including some of the tools and techniques of data science for using computation … We will cover topics including iteration and recursion, basic data structures, sorting and searching, elementary analysis of algorithms, and an introduction to object-oriented programming. I'm taking this class as a refresher and as a way to dig into some sorting algorithms that I haven't used in awhile but if I was new to coding/python, I would find this class to be very confusing. This problem could be easily rectified with a more gradual evolution of problems. Read this book for the Mitx course on edx.org. I really enjoyed this course. View our Lists Showcase. Some of the people taking the two courses will use them as a stepping stone to more advanced computer science courses, but for many it will be their first and last computer science courses. It is an inclusive introduction to Computer Science that takes the pedagogical approach of the right tool for the job at the right moment, and focuses on application development. I just finished auditing MIT’s 6.00.1x (Introduction to Computer Science and Programming Using Python) on EdX. This course is the first of a two-course sequence: Introduction to Computer Science and Programming Using Python, and Introduction to Computational Thinking and Data Science. Prose Simian completed this course, spending 6 hours a week on it and found the course difficulty to be medium. Python Programming: An Introduction to Computer Science is a primary textbook targeted for college-level first course studies in computer programming. Introduction to Computer Science and Programming Using Python[edx.com] Python and Django Full Stack Web Developer Bootcamp [udemy.com] AI Programming with Python [udacity.com] — to draw out the concepts covered in the class and explain to yourself how it works; for example, how a certain function mutates a list passed onto it. This is the first of a few reviews I'll be posting of online courses available. University of London International Programmes, Start your review of Introduction to Computer Science and Programming Using Python. As a beginner to python, this course pushes me to the limit. Please note that this course is fully accessible: you can get your codes for all the problem sets and exams graded for free; you only have to pay if you want to obtain a verified certificate after passing the course — $49, less if you are granted EdX’s financial assistance. The course moves very quickly and has required 20+ additional hours of work weekly beyond the instruction. Sign in or register and then enroll in this course. Candidates will learn how to write, debug, maintain and document Python code.The material will prepare students for the Microsoft certification exam 98-381. Together, they are designed to help people with no prior exposure to computer science or programming learn to think computationally and write programs to tackle useful problems. The course is free to try: The midterm and final, though, I found very difficult. I had very little programming experience (just Python for Informatics on Coursera), so I found this course to be difficult, but very rewarding. This course is the first of a two-course sequence: Introduction to Computer Science and Programming Using Python, and Introduction to Computational Thinking and Data Science. Here, I’ve included a pdf version of the book as a download link preview which can be accessed from the links in this post. I take this MOOC aside from my work as a government clerk in China in 2016, which is very unsatisfactory. I'd recommend this course if you have someone around who already knows programming because as with other computer stuffs, sometimes a small thing can get you stuck and you can look at it a million times and still can't see where the problem lies. Granted, the items covered in this class are supposed to be basic, but I think there are better ways to learn about classes and inheritance than with a hackneyed Person-Student-MITPerson-Undergrad/Grad-class example. It was much harder and moved much quicker than any other MOOC I have taken. I would like to receive email from HarvardX and learn about other offerings related to CS50's Introduction to Computer Science. Overview. (Bridging problems between the current short end-of-lesson questions and complex weekly problems.) However, these ideas are illustrated using … Salvador Pio Alonday completed this course, spending 12 hours a week on it and found the course difficulty to be hard. I liked how once the fundamentals of Python were covered, the focus moved to solving real world engineering problems, but I still feel that there is a lot more to learn about Python. An introduction to the intellectual enterprises of computer science and the art of programming. And while this may not be the typical "requirement" of a college course, the examples of where and in what context a given code might be utilized is much better provided in other online courses. Personally, to me it's the very Eric Grimson's teaching style which kept me going. Classroom-tested by tens of thousands of students, this new edition of the best-selling intro to programming book is for anyone who wants to understand computer science. This run features lecture videos, lecture exercises, and problem sets using Python 3.5. In 2020, the big MOOC providers got bigger, and the biggest one pulled further ahead of the rest. The Deitels’ Introduction to Python for Computer Science and Data Science: Learning to Program with AI, Big Data and the Cloud offers a unique approach to teaching introductory Python programming, appropriate for both computer-science and data-science audiences. Prof. Grimson's lectures were a pleasure to watch. I liked the instructor, and the exercises and problems sets largely struck a nice balance, being challenging but not discouraging. This is an excellent course that will teach you some Python, but more importantly will teach you algorithmic thinking and how to break down large problems into simpler ones. An excellent introduction to thinking computationally. Practical Programming: An Introduction to Computer Science Using Python is a good beginner's introduction to Computer Science through the Python language because it is accessible to novices, assuming little, if any, prior exposure, but its rather basic coverage does not make it a good choice as either a comprehensive introduction to Python or to programming. Together, they are designed to help people with no prior exposure to computer science or programming learn to think computationally and write programs to tackle useful problems. However, if you actually follow through the codes for those algorithms in the book or in the lecture slides and make ample notes on them — as seen below when I destroyed my textbook with highlights and annotations — you’d soon start to get their logic. Otherwise it's a great course. This is a well-crafted, fast-paced introduction to Computer Science, though a little dry at times. The MITx 6.001 python class probably could be handled by somebody who has never coded before, although Harvard’s CS50 would give you a more well-rounded exposure to the entire concept of Computer Science. Each lesson was modest in design, well defined in specific objective, and understandable information. When you do see the code example screen, there's old code, unused code, and sometimes superfluous code that would be extremely confusing to a beginner. I’m really interested on how classes could be used to model data science problems, and I think with more relevant examples I might be able to appreciate more the powers of object-oriented programming. Class Central is a search engine and reviews site for free online courses popularly known as MOOCs or Massive Open Online Courses. You'll be able to best gauge your command of the topics if you do the practice quiz (as much as possible) by yourself, using your notes, just as you would in an exam situation. 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