Overview
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This Specialization builds on the success of the Python for Everybody course and will introduce fundamental programming concepts including data structures, networked application program interfaces, and databases, using the Python programming language. In the Capstone Project, you’ll use the technologies learned throughout the Specialization to design and create your own applications for data retrieval, processing, and visualization.
Syllabus
- Course 1: Programming for Everybody (Getting Started with Python)
- Course 2: Python Data Structures
- Course 3: Using Python to Access Web Data
- Course 4: Using Databases with Python
- Course 5: Capstone: Retrieving, Processing, and Visualizing Data with Python
Courses
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This course will introduce the core data structures of the Python programming language. We will move past the basics of procedural programming and explore how we can use the Python built-in data structures such as lists, dictionaries, and tuples to perform increasingly complex data analysis. This course will cover Chapters 6-10 of the textbook “Python for Everybody”. This course covers Python 3.
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This course will introduce students to the basics of the Structured Query Language (SQL) as well as basic database design for storing data as part of a multi-step data gathering, analysis, and processing effort. The course will use SQLite3 as its database. We will also build web crawlers and multi-step data gathering and visualization processes. We will use the D3.js library to do basic data visualization. This course will cover Chapters 14-15 of the book “Python for Everybody”. To succeed in this course, you should be familiar with the material covered in Chapters 1-13 of the textbook and the first three courses in this specialization. This course covers Python 3.
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This course aims to teach everyone the basics of programming computers using Python. We cover the basics of how one constructs a program from a series of simple instructions in Python. The course has no pre-requisites and avoids all but the simplest mathematics. Anyone with moderate computer experience should be able to master the materials in this course. This course will cover Chapters 1-5 of the textbook “Python for Everybody”. Once a student completes this course, they will be ready to take more advanced programming courses. This course covers Python 3.
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This course will show how one can treat the Internet as a source of data. We will scrape, parse, and read web data as well as access data using web APIs. We will work with HTML, XML, and JSON data formats in Python. This course will cover Chapters 11-13 of the textbook “Python for Everybody”. To succeed in this course, you should be familiar with the material covered in Chapters 1-10 of the textbook and the first two courses in this specialization. These topics include variables and expressions, conditional execution (loops, branching, and try/except), functions, Python data structures (strings, lists, dictionaries, and tuples), and manipulating files. This course covers Python 3.
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In the capstone, students will build a series of applications to retrieve, process and visualize data using Python. The projects will involve all the elements of the specialization. In the first part of the capstone, students will do some visualizations to become familiar with the technologies in use and then will pursue their own project to visualize some other data that they have or can find. Chapters 15 and 16 from the book “Python for Everybody” will serve as the backbone for the capstone. This course covers Python 3.
Taught by
Charles Russell Severance
Tags
Reviews
4.9 rating, based on 425 Class Central reviews
4.8 rating at Coursera based on 279934 ratings
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Excellent course for the Python enthusiasts
This specialization gives you the confidence to work on any Python program with ease. Before this, I have some experience with Python but I am not confident enough to develop any script on my own. After going through the courses, working on Assignments and Projects I gained a lot of confidence to build Python modules on my own from scratch. The course structure is well organized, Concepts are properly explained, Assignments are designed in a way to properly test your understanding of the concepts learned. -
I liked this course. Perhaps I should write "I loved this course". Dr. Chuck is a good instructor and it seem very easy to understand "what is Python?", even "how computers are processing?". I learned a lot and now, I can move on the next chapter "Data Structure with Python". The reason I'm learning Python is for Data Science, I want to do things in Data analytic and BI (Business Intelligence). So good luck, you, newbie, you'll love it and I think it is right place to start with computer programming.
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Excellent introduction to basic Python code, with a focus on parsing strings and data structures, connecting with data sources, and database basics. This five-course program was my first Python MOOC. The other, also taken on the Coursera.org platfo…
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Great course that absolutely made me believe I can do it. Professor Severance's teaching style is very fun and easy to follow. He also manages to pass on his passion of programming to the listener. Thanks a lot!
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Python for Everybody - A Fantastic Introduction to Programming! I just completed "Python for Everybody" on Coursera, taught by Dr. Chuck Severance, and I have to say it's one of the best online courses I've taken for beginners in programming. As som…
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Excellent accessible course. I was dubious about my own abilities in this subject as someone with no experience in this area, but I've completed this class and I'm about to start the next in the series. The course is designed in a supportive understanding way - Python is for everybody!
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Great way to get started on Python (even programming overall) or even just revisit the basics. The professor is great and the lessons tend to be applicable.
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I liked this course. Perhaps I should write "I loved this course". Dr. Chuck is a good instructor and it seem very easy to understand "what is Python?", even "how computers are processing?". I learned a lot and now, I can move on the next chapter "Data Structure with Python". The reason I'm learning Python is for Data Science, I want to do things in Data analytic and BI (Business Intelligence). So good luck, you, newbie, you'll love it and I think it is right place to start with computer programming.
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I enjoyed Dr. Chuck as an instructor. He's enthusiastic about teaching, and overall, I feel that he does a good job with his instruction. The course material is pretty easy to pick up, especially if you read through the book chapters in congruence w…
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Very useful if you have no experience in Python programming. The explanations and exercises are great for beginning to understand what Python does and how it does it.
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The course is very helpful and pretty much clear to understand. It also helps to have deep understanding of python coding
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sir/mam i want to say its really excllent learning, i enjoyed lots while learning, and i have studied at my free time no such a restriction of time to conduct the sections, i just want too say thanks coursera. thank u.
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In my opinion, the python is good enough. All the lectures are well organised . Absolutely fantastic place to study. Lovely friendly staff that are always on hand to help if you have any problems. Staff are more than qualified to teach lessons.
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The lecturer is quite good and deals a great way to teach us. A huge thanks to him and Coursera for this opportunity. I have learnt a lot of ways till now about python and yes, this course is true that "Python for everybody". Anyone can get benefite…
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Very impressive+helping
And very easy and understandable way of teaching .....very very impressive
Brilliant Job ✨✌🏻
Enjoyed a lot
Learned a lot 💯
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Simplicity as its best
This guy, Charles Severance is one of the best teachers I've ever seen in any of the online tutorial course so far. What is love about him is the way he teaches in the flow which is steady and gradual and you get the knowledge in a stepwise process. Another thing is what motivates the students is the bonus chapter which includes the Computing Talks and the office hours. I don't think there is a better way of presenting the online course like Charles did. Thank you very much Charles. You are Awesome. -
Course is well-structured for a beginner to programming. Personally, I breezed through the course as I've had some prior experience programming, but it did introduce me to some important Python concepts, like its data structures.
Verdict: excellent for beginners to programming, pace might be slow for those already familiar with programming. -
A well-structured course series for people with less or no programming background
Dr. Chuck's Python courses cover all the necessary information you need to successfully start coding in Python.
The modules cover more than just python programming itself. XML, JSON, web services, DB and OOP basics and more are explained in good detail to enable you to grasp how these things relate with Python.
Hands down one of the best well-structured video modules/series out there!!
(There are also bonus vids which include interviews with well known people in the computer world) -
The best part of this course was that it assumes that the viewers know nothing about Python unlike most of the other courses I have seen where it is assumes that the learner is familiar with at least one computer language. The Professor breaks down every concept and makes every lesson even clearer by including comprehensible diagrams. All in all, i would recommend this course to those who are starting with Python and also those who need to revise the basics before proceeding to something slightly more advanced.
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Excellent introduction to basic Python code, with a focus on parsing strings and data structures, connecting with data sources, and database basics. This five-course program was my first Python MOOC. The other, also taken on the Coursera.org platfo…