Learn how to clean data using pandas.
Learn how to do basic data preprocessing.
Learn how to handle quantitative data (numeric data) and qualitative data (text data) with pandas.
Note 1: As a beginner you are not yet ready to work with real world data. So real world data is not used in this project. Note2 : If you are already familiar with pandas and want to work with real world data, check out the intermediate course here: https://www.coursera.org/projects/intermediate-pandas-python-library-data-science This guided project is for college students or those who have not heard of pandas before and want to learn about the syntax in pandas, one of the most important python libraries for data analysis. By the end of this project, you will master the basics of pandas. While you are watching me code, you will get a cloud desktop with all the required software pre-installed. This will allow you to code along with me. After all, we learn best with active, hands-on learning. Special Features: 1) This project provides plenty of challenges with solutions to encourage you to practice using pandas. 2) Libraries are automatically imported each time you begin a new session. Just open the project and start learning! 3) The real world applications of each function is explained. 4) After you complete this project, you get a jupyter notebook of all the work you covered (including gifs). It acts as a useful learning tool that you can refer to at any time in the future. 5) Best practices and tips are provided to ensure that you learn how to use pandas efficiently. 6) Animated gifs are used to aid in the learning process. 7) Important terminology and definitions are explained. 8) Simple language is used throughout the project, so that you can focus on coding. (Eg: Quantitative data is referred to simply as numeric data.) Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
在與您的工作區一起在分屏中播放的視頻中,您的授課教師將指導您完成每個步驟:
Three methods of creating a series.
Two methods of creating data frames.
Importing/exporting different types of data files and viewing rows.
Get a summary of the data & view column names and data types.
Calculate mean & cumulative sum. Determine minimum & maximum values.
String operations such as converting to uppercase letters , lowercase letters, swap case, finding the length of a string, splitting strings and detecting unique values.
Repeating strings.
您的工作空間就是瀏覽器中的雲桌面,無需下載
在分屏視頻中,您的授課教師會為您提供分步指導
it really such an amazing course for begineers to learn pandas. what excited me the most is the the mentor did solve all the challenges to make a learner to the best.
For an hour of python coding, I think this is perfect, but it could have been a bit longer and introduced to some complex topics.
The content was good but the interface was a bit irritating. It probably would have been better if my screen were bigger
Great start for learning basic pandas functions. It would be great if proper explanations are provided for every step.
如果我購買指導項目,會得到什麼?
購買指導項目後,您將獲得完成指導項目所需的一切,包括通過Web 瀏覽器訪問云桌面工作空間,工作空間中包含您需要了解的文件和軟件,以及特定領域的專家提供的分步視頻說明。
指導項目可在台式設備和移動設備上學習嗎?
由於您的工作空間包含適合筆記本電腦或台式計算機使用的雲桌面,因此指導項目不在移動設備上提供。
指導項目的講師是誰?
指導項目講師是特定領域的專家,他們在項目的技能、工具或領域方面經驗豐富,並且熱衷於分享自己的知識以影響全球數百萬的學生。
我能在完成指導項目後從中下載作品嗎?
您可以從指導項目中下載並保留您創建的任何文件。為此,您可以在訪問云桌面時使用‘文件瀏覽器’功能。
我能夠退款嗎?退款政策是如何規定的?
指導項目不符合退款條件。 請查看我們完整的退款政策。
有助學金嗎?
指導項目不提供助學金。
我能旁聽指導項目並免費觀看視頻部分嗎?
指導項目不支持旁聽。
我需要具備多少經驗才能做這個指導項目?
您可在頁面頂部點按此指導項目的經驗級別,查看任何知識先決條件。對於指導項目的每個級別,您的講師會逐步為您提供指導。
我能直接通過 Web 瀏覽器來完成此指導項目,而不必安裝特殊軟件嗎?
是,您可以在瀏覽器的雲桌面中獲得完成指導項目所需的一切。
指導項目的學習體驗如何?
您可以直接在瀏覽器中於分屏環境下完成任務,以此從做中學。在屏幕的左側,您將在工作空間中完成任務。在屏幕的右側,您將看到有講師逐步指導您完成項目。
還有其他問題嗎?請訪問 學生幫助中心。