Class Central is a search engine and reviews site for free online courses popularly known as MOOCs or Massive Open Online Courses. This course covers a lot of ground, so it may be demanding for a beginner. Introduction to Computer Science and Programming Using Python (MIT/edX): another good option. No bell and whistles, a classical approach and a wonderful professor, Eric Grimson. So I had to drop this course. As this is a prerequisite class for MIT’s 6.00.2x (Introduction to Computational Thinking and Data Science, now open! I take this MOOC aside from my work as a government clerk in China in 2016, which is very unsatisfactory. It has 4.5-star weighted average rating over 240 reviews. One of the things to take away from this course for me was that coding of complex programs is not... Great course! Dubravko Gacina completed this course, spending 15 hours a week on it and found the course difficulty to be hard. 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. Salvador Pio Alonday completed this course, spending 12 hours a week on it and found the course difficulty to be hard. I really enjoyed this course. This is a well-crafted, fast-paced introduction to Computer Science, though a little dry at times. Doris Smith completed this course, spending 6 hours a week on it and found the course difficulty to be hard. In addition to these issues, there are some community TA's that seem to be almost combative in the class discussion forums. And the e 6.00.1x/6.00.2x courses were very good as well, even as a part time student. Learn computer science and programming using Python from the instructors at MIT. 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. 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. This run of the course includes revised assessments and a new module on machine learning. Build an iMessage Clone With the Stream Chat iOS SDK, Seamless backpressure handling in gRPC-Kotlin, Terraform: Iterating through a Map of Lists To Define AWS Roles and Permissions, Overview of Software Performance Testing Activities, Running Spark Application in the EMR Cluster Through AWS Lambda Function. I just finished this class. Python Programming: An Introduction to Computer Science Book Description. Ryan Lam completed this course, spending 8 hours a week on it and found the course difficulty to be hard. Vicky Pang completed this course, spending 2 hours a week on it and found the course difficulty to be hard. Class Central is learner-supported. Assignments: programming with examples; Course Description. Get personalized course recommendations, track subjects and courses with reminders, and more. Prahlad completed this course, spending 35 hours a week on it and found the course difficulty to be medium. The lectures aren't presented very clearly. I was able to grasp the fundamentals of programming on the fly. 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. This book is by four authors: Jennifer Campbell, Paul Gries, Jason Montojo and Greg Wilson. Signing up for either us completely free. This also applies when you’re working on the exams and problem sets: it brought me great pleasure to see the ideas I’d written and reasoned out on paper get turned into code that then worked. Anonymous is taking this course right now. 6.0001 Introduction to Computer Science and Programming in Python is intended for students with little or no programming experience. In this course, you will learn basics of computer programming and computer science. 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. Here are the additional resources that I used for the class that really helped me during the course: A few weeks after writing this review, I’d also finished MIT 6.00.2x. 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. This book is designed to be used as the primary textbook in a college-level first course in computing. 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. I liked the instructor, and the exercises and problems sets largely struck a nice balance, being challenging but not discouraging. As a beginner to python, this course pushes me to the limit. 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. 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. This was probably the best introduction to computer programming I have ever seen. It takes a fairly traditional approach, emphasizing problem solving, design, and programming as the core skills of computer science. 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. Aviaura is taking this course right now, spending 12 hours a week on it and found the course difficulty to be very hard. 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. I am a complete novice with no programming experience, so perhaps that was my fault. Ruilin Yang completed this course, spending 11 hours a week on it and found the course difficulty to be hard. Overview. An introduction to the intellectual enterprises of computer science and the art of programming. I'd take another class from this MIT group in an instant. This is a testament on how the previous lessons in the course really gave me a strong foundation to start implementing new programs. 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. A groundbreaking, flexible approach to computer science and data science. I would like to receive email from HarvardX and learn about other offerings related to CS50's Introduction to Computer Science. 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 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. I would not have liked to have taken the course without this book. Enjoy the videos and music you love, upload original content, and share it all with friends, family, and the world on YouTube. The professors are engaging and the lectures are short and to the point. I was pleasantly surprised to discover that I could implement the sorting algorithms (selection sort, merge sort) even before seeing the code, just by listening or reading the pseudocode. This is a magnificent course, and even if you just complete it, without scoring good, trust me, you will take many things out of it for future. Even for someone who has programmed for a year or so, this course can be tough. I'd imagine that a lot of people take this class purely based on the prestige associated with the MIT name but if you're new to coding you'd do yourself a favor by either taking Harvard's CS50 or grabbing the topics in the course and finding one of the hundreds of bootcamp blog posts that cover these same topics. I think it's based on the introductory 'CS for non CS majors' course at MIT. I personally enjoyed the instructor's sense of humour and barely contained enthusiasm for the subject. So for example, if you enter in "1,2,3,4" your solution will be rejected since the tests is looking for "1, 2, 3, 4". Introduction to Computer Science and Programming Using Python You must be enrolled in the course to see course content. 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 … This problem could be easily rectified with a more gradual evolution of problems. 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. 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. Otherwise it's a great course. That said, they are not "computation appreciation" courses. There's a bit of irony in that a class on programming doesn't have a test capable of parsing out the solution you input. Topics in the first few weeks don't seem to build on one another in a very logical manner. 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. (Bridging problems between the current short end-of-lesson questions and complex weekly problems.) The Midterms were very challenging, especially the first one. Sign in or register and then enroll in this course. Finger exercises between lectures really drive home the points that the professors were trying to make. Since these courses may be the only formal computer science courses many of the students take, we have chosen to focus on breadth rather than depth. 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. I have tried a few intro to computing courses, and this is hands-down by far the best. 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 … -- Guido van Rossum, Creator of Python "Introduces Python and computer science concepts in a style that beginning students find appealing and easy to understand." This is a very good course. 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. I take this MOOC aside from my work as a government clerk in China in 2016, which is very unsatisfactory. it is unclear (and obscured) what was typed in and what resulted since you visually have to jump from the code screen to the execution screen in the midst of lines of text (and again, a very small font). Organize and share your learning with Class Central Lists. The course moves very quickly and has required 20+ additional hours of work weekly beyond the instruction. via edX Problems sets can be challenging, but not if you've solved similar problems in another language. 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. This is the first MOOC that I even reached til the end, let alone passed! I had very little programming experience (just Python for Informatics on Coursera), so I found this course to be difficult, but very rewarding. — 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. ), I wish there’d be more data science applications of the concepts taught in class, given that many people who take the class are interested in learning programming for that purpose. 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. Maybe I'm not paying as much attention as I should, but I swear there are exercises that ask you to use concepts you wouldn't know about from just having watched the lectures. When you buy through links on our site, we may earn an affiliate commission. Practical Programming, Third Edition An Introduction to Computer Science Using Python 3.6 by Paul Gries, Jennifer Campbell, Jason Montojo. This book is for anyone who wants to understand computer programming. The course is free to try: Prose Simian completed this course, spending 6 hours a week on it and found the course difficulty to be medium. 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. You'll learn to program in a language that' s used in millions of smartphones, tablets, and PCs. It was much harder and moved much quicker than any other MOOC I have taken. The execution screen is full of past work and so that with the phrase "Let's see what this does!" At that time, I was 24, graduated from an Econ & Business university, beaten by the humiliating experience of working in a... A life-changing MOOC. Great course! books/resource persons), I was stuck and gone off track with the course schedule. I’d been interested in reading another Python-related textbook for a while, and this happens to be one of the few out there. Okay, so for someone who has never coded, and wants to learn to program, you can safely assume this is the best course, yet the hardest out their. Without the book, I highly doubt I would have completed the course. 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. 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. Below are my three observations after taking the class, including what I think is good, what can be improved, and tips on getting the most out of the class: The course comes with a textbook that can be bought as hard copy or in e-book form. It is the only online course I have completed thus far; I hope to take the subsequent courses by MITx in the future. Finally, nothing beats getting a pen and paper — it shocks me how much paper I’ve used for this class! It was much harder and moved much quicker than any other MOOC I have taken. I was so scared going to the lessons on algorithm because I’d always thought they were too hard for me to understand. 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. 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. However, if you have some programming experience and just want to get all you knowledge into a system and learn some python it can be pretty manageable. Python Programming: An Introduction to Computer Science is a primary textbook targeted for college-level first course studies in computer programming. Candidates will learn how to write, debug, maintain and document Python code.The material will prepare students for the Microsoft certification exam 98-381. Treehouse’s Python series (9 courses): it costs money. The exercises seem to be very pedantic in nature. So I recommend it to someone who has done at least a CodeAcademy course, so you wouldn't feel thrown into a deep end right away. 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. The programming assignments were challenging enough to make you feel like you have accomplished something, but the specifications were generally enough to get you through it. A deep reading through the relevant section in the book was more than enough to clear up my confusion, and gave me ample time to think about the concepts, especially when I tried to followed the code on the page. View our Lists Showcase. You’ll learn to represent and store data using Python data types and variables, and use conditionals and … The slides are disorganized, often times with the professor making random, nonsensical scribbles that are more distracting than helpful. For now, I’m still not quite sure when or how I should use them. 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] Biomedical Informatics: Computer Applications in Health Care and Biomedicine by Edward H. Shortliffe Hardcover CDN$184.47 With the book, John Zelle has updated his famous introduction to programming using Python to cover Python 3.0. The course moves very quickly and has required 20+ additional hours of work weekly beyond the instruction. Prof. Grimson's lectures were a pleasure to watch. I just finished auditing MIT’s 6.00.1x (Introduction to Computer Science and Programming Using Python) on EdX. 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. A life-changing MOOC. The professors are engaging and the lectures are short and to the point. Each lesson was modest in design, well defined in specific objective, and understandable information. 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. Criticism first, as pointed out by different people, the professor made too many careless mistakes in explaining a concept, he also did some scribbles that somehow confused me even more (in... As a beginner to python, this course pushes me to the limit. 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. 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.