What are the Python, data analytics courses on coursera that are worth learning?

There are a total of 3 courses at RICE University, which now seem to have been broken down into 6 courses; Each course lasts 8 weeks and is taken in order from shallow to deep.

The first course is Python Basics, which introduces the basic syntax of Python;

The second course, Fundamentals of Computation, introduces some slightly more complex syntax and data processing;

The third course is Algorithmic Thinking, which introduces some commonly used algorithms; And also use numpy, matlabplot library, etc.; I'm not a data analyst, but it's said that these libraries are used a lot for data analysis!

Reasonable course scheduling is only one of the reasons for recommendation; There are also reasons for recommending that the homework is beautifully designed and the teacher assistants are very responsible!

After each week's lessons, the teacher will leave homework, in addition to one or twenty multiple-choice questions to consolidate knowledge, there will also be a small application, which is very interesting; I remember that the first week of homework for the second class was the game 2048, which had just become popular that year; Moreover, in the topic of data processing, there will be very practical processing cases, such as analyzing the number of citations, analyzing the incidence of diseases, and so on.

In addition, the teachers are very responsible. At that time, when I was in class, I could often see the teacher's messages in the discussion forum, and basically the teacher replied to some key common questions as soon as possible. It's so conscience!!

I'm not in the direction of data analysis, I was only going to learn the first course in this series to learn about python, but I felt very good after taking it, and I couldn't help but finish the next classes and take the stage exam! The charm of the teacher is indispensable!

What are the Python, Data Analytics courses on Coursera that are worth learning.

1.Python is not a scripting language, although it is interpreted dynamically. He can do the development at the system level.

2.Python is cross-platform, you can use Python to develop software on Mac, Linux, Win, and even S60 phones. PHP doesn't have these capabilities.

4.In terms of web development, PHP is widely used, and there are many ready-made ** and templates, but Python is lacking in this aspect, although it has a lot of good frameworks. Take Django, for example.

5.Python because of its application range,Learning time is longer,Of course, if you only play ** building,Like the above said webpy learning cycle is very short,Basically, you can complete the basic website building work in the browser。

6.If you want to learn programming techniques, python is recommended. If like out ** as soon as possible recommended php.