enthaltenThis 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
Verschaffen Sie sich einen Einblick in ein Thema und lernen Sie die Grundlagen.
4.1
(362 Bewertungen)
Stufe Anfänger
Keine Vorkenntnisse erforderlich
Flexibler Zeitplan
Ca. 29 Stunden
In Ihrem eigenen Lerntempo lernen
92%
Den meisten Lernenden hat dieser Kurs gefallen
Kompetenzen, die Sie erwerben
- Kategorie: Python Programming
- Kategorie: Numpy
- Kategorie: Pandas
- Kategorie: Wxpython
Wichtige Details
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8 Aufgaben
Unterrichtet in Englisch
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In diesem Kurs gibt es 6 Module
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.
Das ist alles enthalten
1 Video2 Lektüren
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!
Das ist alles enthalten
16 Videos7 Lektüren2 Aufgaben1 Programmieraufgabe1 Diskussionsthema
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.
Das ist alles enthalten
10 Videos5 Lektüren1 Aufgabe1 Diskussionsthema
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.
Das ist alles enthalten
9 Videos7 Lektüren1 Aufgabe1 Diskussionsthema
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.
Das ist alles enthalten
13 Videos14 Lektüren2 Aufgaben1 Programmieraufgabe
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.
Das ist alles enthalten
8 Videos5 Lektüren2 Aufgaben
Dozent
Lehrkraftbewertungen
4.5 (68 Bewertungen)
Empfohlen, wenn Sie sich für Software Development interessieren
University of Michigan
University of Michigan
Coursera Project Network
University of Michigan
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Felipe M.
Lernender seit 2018
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Lernender seit 2020
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Bewertungen von Lernenden
4.1
362 Bewertungen
- 5 stars
59,89 %
- 4 stars
18,13 %
- 3 stars
6,86 %
- 2 stars
2,74 %
- 1 star
12,36 %
Zeigt 3 von 362 an
JL
5
Geprüft am 11. Sep. 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
Geprüft am 3. März 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
Geprüft am 3. Jan. 2024
Great course for data analysis, processing, and representation.
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