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From Raw to Ready: Data Preparation in Python
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$1,550

From Raw to Ready: Data Preparation in Python

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

In this course, you'll develop essential skills for transforming raw data into analysis-ready formats - a critical foundation for any data science workflow. You'll master techniques for importing data from diverse sources, manipulating complex datasets, and optimizing data structures for analysis. Working with real-world datasets from our EngageMetrics and MediTrack case studies, you'll build practical experience in data preparation that directly translates to professional scenarios. Upon completion, you'll be able to: • Import data into Python from CSV files, Excel spreadsheets, and APIs. • Create, manage, and manipulate DataFrames. • Filter, sort, merge, and group data to prepare it for analysis. • Manage and transform categorical and date/time data using Pandas. • Create and manipulate NumPy arrays, perform mathematical operations, and use vectorized functions. • Apply data import and manipulation skills to build a multi‑source data integration pipeline in a graded challenge.

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