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Answering Interesting Questions with Data
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Answering Interesting Questions with Data

coursera
coursera

coursera

1.符合資格者將於出貨後三個工作日陸續發送交易訊息通知。2.點數將於廠商出貨後,隔天起算110天後陸續確認發送。3.國際商家之商品金額及回饋點數依據將以商品未稅價格為準。4.國際商家之商品金額可能受匯率影響而有微幅差異。5.禮品卡支付以及使用未授權優惠碼不符合贈點資格。6.點數發送依據及返點上限將以「訂單總金額」計算(不含運費及稅額),不論訂單中有多少商品,於LINE購物皆視為只購買一商品(金額為當筆訂單所有商品加總金額),亦即點數回饋計算並非以coursera實際購買商品數量拆分計算 。7. 同6說明,訂單完成後的顯示金額可能包含部分運費或稅金,可返點金額將以系統回傳金額為準 8.若於商家App下單,不符合LINE購物導購資格。
商品描述

商品描述

There is a huge amount of raw data available on the internet with endless potential. This four-week course from the University of Michigan will help you learn how to read data in different formats and write programs to scrape data from the internet. Once you complete this course, you’ll be empowered with the ability to use data to answer high-level and interesting questions. An essential component of data collection and analysis is the ability to store and manage the data effectively once you’ve retrieved it. You’ll learn how to use SQL to manage data in relational databases in order to create linked datasets and gain insight into the relationships and meaning that can be derived from your data. Data is a powerful tool, but its potential can only be unleashed once it is converted and represented as logical information. This process is referred to as data visualization, and it is key to understanding and analyzing data. You’ll be taught to use charts, scatter plots, graphs, and other mediums in order to transform your data into valuable information that can be used to answer interesting questions. This course is designed for learners who are interested in extending their Python knowledge, learning a textual programming language, or who would like to be able to communicate with programmers in a professional setting.

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