This course (The English copy of "用Python玩转数据" <https://www.coursera.org/learn/hipython/home/welcome>) is mainly for non-computer majors. It starts with the basic syntax of Python, to how to acquire data in Python locally and from network, to how to present data, then to how to conduct basic and advanced statistic analysis and visualization of data, and finally to how to design a simple GUI to present and process data, advancing level by level.
Data Processing Using Python
Gain insight into a topic and learn the fundamentals.
4.1
(362 reviews)
Beginner level
No prior experience required
Flexible schedule
Approx. 29 hours
Learn at your own pace
92%
Most learners liked this course
Skills you'll gain
Details to know
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Assessments
8 assignments
Taught in English
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There are 6 modules in this course
Hi, guys, welcome to learn “Data Processing Using Python”(The English version of "用Python玩转数据", url is https://www.coursera.org/learn/hipython/home/welcome)!In this course, I tell in a manner that enables non-computer majors to understand how to utilize this simple and easy programming language – Python to rapidly acquire, express, analyze and present data based on SciPy, Requests, Beautiful Soup libraries etc. Many cases are provided to enable you to easily and happily learn how to use Python to process data in many fields.
What's included
1 video2 readings
Hi, guys, welcome to learn Module 01 “Basics of Python”! I’ll first guide you to have a glimpse of its simplicity for learning as well as elegance and robustness. Less is more: the author of Python must know this idea well. After learning this module, you can master the basic language structures, data types, basic operations, conditions, loops, functions and modules in Python. With them, we can write some useful programs!
What's included
16 videos7 readings2 assignments1 programming assignment1 discussion prompt
Welcome to learn Module 02 “Data Acquisition and Presentation”! After learning this module, you can master the modes of acquiring local data and network data in Python and use the basic and yet very powerful data structure sequence, string, list and tuple in Python to fast and effectively present data and simply process data.
What's included
10 videos5 readings1 assignment1 discussion prompt
Welcome to learn Module 03 “Powerful Data Structures and Python Extension Libraries”! Have you felt you are closer to using Python to process data? After learning this module, you can master the intermediate-level and advanced uses of Python: data structure dictionaries and sets. In some applications, they can be very convenient. What’s special here is that, you can also feel the charm of such concise and efficient data structures: ndarray, Series and DataFrame in the most famous and widely applied scientific computing package SciPy in Python.
What's included
9 videos7 readings1 assignment1 discussion prompt
Welcome to learn Module 04 “Python data statistics and mining”! In this module, I will show you, over the entire process of data processing, the unique advantages of Python in data processing and analysis, and use many cases familiar to and loved by us to learn about and master methods and characteristics. After learning this module, you can preprocess the data and fast and effectively mine your desired or expected or unknown results from a large amount of data, and can also present those data in various images. In addition, the data statistics modes of all third party packages in Python are extraordinarily and surprisingly strong, but we, as average persons, can still understand and possess them.
What's included
13 videos14 readings2 assignments1 programming assignment
Welcome to Module 05 “Object Orientation and Graphical User Interface”! In this module, I will guide you to understand what object orientation is and the relationship between graphical user interface and object orientation. Learners are only required to understand the concepts so that you can more freely and easily pick up various new functions in future. No program writing is required here. Besides, you also need to master the basic framework of GUI, common components and layout management. After learning them, you will find development with GUI is actually not remote.
What's included
8 videos5 readings2 assignments
Instructor
Instructor ratings
4.5 (68 ratings)
Offered by
Recommended if you're interested in Software Development
University of Michigan
University of Michigan
Coursera Project Network
University of Michigan
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Learner reviews
4.1
362 reviews
- 5 stars
59.89%
- 4 stars
18.13%
- 3 stars
6.86%
- 2 stars
2.74%
- 1 star
12.36%
Showing 3 of 362
JL
5
Reviewed on Sep 11, 2017
It's a basic Python lesson, but providing some data analysis and GUI concepts, which needs you to explore after this class or in the future.
PM
5
Reviewed on Mar 3, 2024
Great course to learn python data processing. I think in week-4 need more details. Otherwise this course is fully enjoyable to me. Lots of learning is here. Thank you madam. Thank you university.
AA
5
Reviewed on Jan 3, 2024
Great course for data analysis, processing, and representation.
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