Posted on 2020-05-30, by raymanhero.
Coursera courses for the Python for Everybody Specialization. atse0612/Python-for-Everybody-Coursera. 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'.
Coursera - Python for Everybody Specialization by University of Michigan
Video: .mp4 (1280x720) Audio: AAC, 44100 kHz, 2ch Size: 6.75 Gb Materials: PDF
Genre: eLearning Video Duration: 21h 57m Language: English
Learn to Program and Analyze Data with Python. Develop programs to gather, clean, analyze, and visualize data.
Programming for Everybody (Getting Started with Python)
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.
Python Data Structures
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.
Using Python to Access Web Data
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.
Using Databases with Python
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.
Capstone: Retrieving, Processing, and Visualizing Data with Python
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.
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If you’re looking for the best online course to study Python, then Coursera Python for Everybody is your best bet. But how good is Python for Everybody course?
Make sure you read the complete review of Python for Everybody course before you make a decision. We’ll also help you understand why its the best.
If you’ve any question of learning Python, check out 35 Questions Before you Learn Python Programming.
We’ve broken down the course contents and what it offers to help you understand why it’s the best course to learn Python online.
FAQs on Coursera Python for Everybody Review
Check out some of the common FAQs about this course around the web.
How much is Python for Everybody Specialization?
The cost of Python for Everybody specialization course is priced at $49. You start Python for Everybody Specialization for free for 7 days free trial.
What to do after Python for Everybody?
After completing Python for Everybody, you can take other courses to scale up your skillset. You can explore Data Science, Machine Learning, Cloud Computing, or Algorithms and data structure.
Is Python for Everybody a good course?
Python for Everybody by the University of Michigan is one of the best online courses to learn Python for beginners. If you’re an absolute beginner in the programming world, don’t hesitate to sign up. Also, you can check the alternative Python courses on Coursera to learn Python.
Coursera Python For Everybody Specialization Review
The University of Michigan developed this course and available in Coursera to sign up. You can explore the course content for free, but to watch the video and learn Python, you must purchase the specialization.
Coursera Python Programming For Everybody
Python for Everybody Specialization certification course is a beginner Python course. It consists of 5 courses in this specialization.
To best part of this course is that it doesn’t need any prior knowledge of anything. That means even a person from a non-technical background can take this course.
The people who took this course, 39% of them started a new career, and 19% got their paycheck increase. It has an average rating of 4.8 out of 5 by over 190k students.
The set of 5 courses offered in Python for Everybody specialization is listed below:
- Programming for Everybody
- Python Data Structures
- Using Python to Access Web Data
- Using Database with Python
- Capstone Project
Coursera Python for Everybody Specialization Review
Let’s review each of the five courses offered in Coursera Python for Everybody Specialization review. It helps you to understand what it provides and how it is different from other Python courses.
1. Programming for Everybody
The primary intent of this course is that anyone can learn the basics of Python programming. It teaches the fundamental topics related to programming and how one can write a program using Python. Since it has no prerequisites, it is the easiest programming language to learn.
The course covers up to 5 chapters from the textbook “Python for Everybody.” It covers the curriculum for over seven weeks. Here you learn the basics of Python language and prepares you for advanced programming courses.
You’ll begin by learning to install Python in Windows or Mac and start to write simple programs in Python. For example, you will start by learning to store the information using variables in the computer’s memory. How cool is that? Don’t worry if this doesn’t make sense to you.
Once you’re familiar with the simple programs, you’ll proceed to write the conditional codes and functions. Python functions are simple and easy to use to repeat the actions with the codes. You’ll end the course by learning loops and iterations.
2. Python Data Structures
The second course in the specialization continues the Python chapters from six to 10. In the previous course, you studied functions, loops, and iterations. Here the Python knowledge continues with data structures.
You’ll be introduced to the core data structures in the Python programming language, where you learn to use Python’s built-in data structures, such as lists, dictionaries, and tuples. In Python, you can quickly identify and differentiate between lists, tuples, and dictionaries.
You can store many pieces of information in a single variable using lists, dictionaries, and tuples. That’s the power of Python programming language.
Python learning becomes interesting when you start working with Files. What working with files mean are you reading and writing from a file on the computer. You can process, scan, read, and write data in the files.
3. Using Python to Access Web Data
The third part of Coursera Python for Everybody course review covers chapters 11 to 13. It teaches students how they can use the internet as a source of data and how you can scrape and read the data using APIs.
You can succeed in this course only if you’ve studied the earlier two courses in this specialization or from 1-10 chapters from the textbook “Python for Everybody.” Here you’ll learn to use a regular expression to extract data from strings, retrieve data from websites and APIs, learn to work with XML, and more.
Although it is not essential to learn to use regular expression in Python, it can be quite useful in specific scenarios. You’ll also become familiar is JSON and REST Architecture.
4. Using Databases with Python
Students will be introduced to the Structured Query Language (SQL). SQL is the basic database language to store, process, and retrieve the data from a large collection of databases. The fourth course in this specialization is a game-changer because you’ll learn more than things to do with Python.
It teaches and uses SQLite3 as its database, and for the visualization process, it uses D3.js library. This course covers chapters 14 and 15 from the textbook.
To build an application, one must know and be good at OOPS. It begins by teaching you the object-oriented approach in writing Python code. Then you’ll learn the CRUD operations in SQL. CRUD stands for create, read, update, and delete.
After learning CRUD, you learn how data is stored across many tables. And learning to manage the tables will put you in a good position among your colleagues.
5. Capstone: Retrieving, Processing, and Visualizing Data with Python
The final two chapters 15 and 16 are covered in this final course and serve as the spine for the capstone project. In this capstone project, learners will build a few applications to retrieve, process, and visualize data. All this is done using the programming language you learned, Python.
This consists of multiple capstone projects, and completing it will give you a thorough understanding of the Python. You will learn to spider online websites and try to use the Google Pagerank algorithm to build a search engine.
It also includes some optional capstone projects, but these will not be peer-graded. However, we still recommend that you complete all the projects so that you’ll have a good understanding of the Python programming language.
What’s next after Python For Everybody on Coursera
There are several courses that you can take to upgrade your skills set from Python. You can become a video game developer, but Python is not the most preferred language for it, but it’s still possible.
If cloud computing falls in your interest, then Google IT Automation with Python is a helpful course. If you’re interested in Data Science, then Applied Data Science with Python is a great course. Make sure to check it out.
You’re also free to look for some advanced courses in Machine Learning, Cloud Computing, Deep Learning, Data Science, etc.
This is the end of Coursera Python For Everybody review and hope it was helpful to understand the course material. This is one of the best online courses to learn Python by anyone.
We hope that you finally understood how good is Python for Everybody review.
Python For Everybody
Python for Everybody is the best online course to study Python online. This self-paced online course is available in Coursera, and it has no prerequisites.
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Course Provider Name: Coursera
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