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SAS Taiwan 0
進階資料分析 課程登入連結

  是否需繳交作業 2022類別 課程名稱 課程連結 V 進階 EG 開放資料分析一-以登革熱開放資料檢視地方防疫量能 第一堂 https://www.sas.com/zh_tw/events/21/academic/webinar/1109EG1.html V 進階 EG 開放資料分析一-以登革熱開放資料檢視地方防疫量能 第二堂 https://www.sas.com/zh_tw/events/21/academic/webinar/1110EG1.html V 進階 EG 開放資料分析二-以球隊開放資料進行整理與視覺化 第一堂 https://www.sas.com/zh_tw/events/21/academic/webinar/1116EG.html V 進階 EG 開放資料分析二-以球隊開放資料進行整理與視覺化 第二堂 https://www.sas.com/zh_tw/events/21/academic/webinar/1117EG.html V 進階 EM 潛在客戶預測-找出購買3C產品的潛在客戶 第一堂 https://www.sas.com/zh_tw/events/21/academic/webinar/1123EM1.html V 進階 EM 潛在客戶預測-找出購買3C產品的潛在客戶 第二堂 https://www.sas.com/zh_tw/events/21/academic/webinar/1124EM1.html V 進階 EM 以咖啡期貨、匯率、股價建立決策樹模型 https://www.sas.com/zh_tw/events/21/academic/webinar/1129EM.html V 進階 ODS 圖形設計程式-建立個人圖表模板

Analytics
Jong-Phil Park 0
고객 성향 분석(Customer Propensity Analysis) : DIY & DIFM 접근 방법

고객의 데이터를 분석하여 고객 성향 및 선호도를 이해하고, 이를 활용해 마케팅 업무를 효율화하고자 하는 노력은 90년대 데이터베이스 마케팅, 2000년대 분석 CRM, 최근의 퍼포먼스, 그로스 마케팅까지 계속적으로 진화하고 있습니다. 멀티채널에서 쏟아지는 고객의 온/오프라인 데이터를 통합, 분석하여 마이크로 타겟팅 마케팅은 기본적으로 고객 성향 예측 모형(Customer Propensity Model)을 기반으로 수행되고 있습니다. 디지털채널을 중심으로

Analytics | Artificial Intelligence | Data for Good
Josh Morgan 0
Supporting mental health with data and analytics through improved education policy

All students need hope at varying levels to graduate, especially those needing mental health support. Many students are still reacclimating to life after two years of COVID disruptions, on top of the usual anxiety that comes with beginning a new phase of life. New and unfamiliar surroundings, increased pressure of

Advanced Analytics | Fraud & Security Intelligence
Alejandro Villar 0
La analítica como solución para el fraude financiero

La analítica de datos es conocida porque permite detectar patrones y comportamientos para predecir situaciones. Gracias a ella, las instituciones tienen la capacidad de anticiparse a las necesidades de los ciudadanos y poder tomar decisiones. Otra de las aplicaciones que tiene para, por ejemplo, las marcas, es poder recomendar productos

Advanced Analytics | Analytics | Cloud
Charlie Chase 0
6 advantages of using software as a service for demand planning

Getting demand right – or getting it wrong – can have a significant impact on customer perceptions of your brand, particularly in this age of instant gratification. The need for agile, accurate demand planning has never been greater. Predicting forward-looking demand signals and shifting consumer demand patterns to recommend balanced, profitable commercial

Advanced Analytics | Analytics | Data Management
Estelle Wang 0
Find duplicates and near-duplicates in a corpus with Natural Language Processing

To find exact duplicates, matching all string pairs is the simplest approach, but it is not a very efficient or sufficient technique. Using the MD5 or SHA-1 hash algorithms can get us a correct outcome with a faster speed, yet near-duplicates would still not be on the radar. Text similarity is useful for finding files that look alike. There are various approaches to this and each of them has its own way to define documents that are considered duplicates. Furthermore, the definition of duplicate documents has implications for the type of processing and the results produced. Below are some of the options. Using SAS Visual Text Analytics, you can customize and accomplish this task during your corpus analysis journey either with Python SWAT package or with PROC SQL in SAS.

Analytics | Data for Good | Work & Life at SAS
Danielle Pavliv 0
4 ways SAS is driving diversity, equity and inclusion with HBCUs

SAS' multidimensional culture blends our different backgrounds, experiences and perspectives from employees in 59 countries worldwide. We want everyone to feel confident expressing their ideas and know they will be respected for their unique contributions and abilities. At SAS, it’s not about fitting into our culture; it’s about adding to

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