Master of Science in Business Analytics
在夏威夷太平洋大學
關於課程
The Masters of Science in Business Analytics is designed to prepare learners for data analyst careers. A data analyst finds a solution to a problem or provides an answer to a question. This career tasks a data analyst to gather, purify, and analyze data sets. Contemporary data analysts work in a variety of fields, including government, business, finance, law enforcement, and science. Here?s what many data analysts do on a day-to-day basis-
GATHER DATA: Analysts often collect data themselves. This could include conducting surveys, tracking visitor characteristics on a company website, or buying datasets from data collection specialists.
CLEAN DATA: Raw data might contain duplicates, errors, or outliers. Cleaning the data means maintaining the quality of data in a spreadsheet or through a programming language so that your interpretations won?t be wrong or skewed.
MODEL DATA: This entails creating and designing the structures of a database. You might choose what types of data to store and collect, establish how data categories are related to each other, and work through how the data actually appears.
INTERPRET DATA: Interpreting data will involve finding patterns or trends in data that could answer the question at hand.
PRESENT: Communicating the results of your findings will be a key part of your job. You do this by putting together visualizations like charts and graphs, writing reports, and presenting information to interested parties.
GATHER DATA: Analysts often collect data themselves. This could include conducting surveys, tracking visitor characteristics on a company website, or buying datasets from data collection specialists.
CLEAN DATA: Raw data might contain duplicates, errors, or outliers. Cleaning the data means maintaining the quality of data in a spreadsheet or through a programming language so that your interpretations won?t be wrong or skewed.
MODEL DATA: This entails creating and designing the structures of a database. You might choose what types of data to store and collect, establish how data categories are related to each other, and work through how the data actually appears.
INTERPRET DATA: Interpreting data will involve finding patterns or trends in data that could answer the question at hand.
PRESENT: Communicating the results of your findings will be a key part of your job. You do this by putting together visualizations like charts and graphs, writing reports, and presenting information to interested parties.
- 獎學金 - 查看所有獎學金
- 實習機會
開始日期及學費
如何申請
Entry requirements for 夏威夷太平洋大學
Final Official Transcripts showing conferred Bachelor's Degree,
TOEFL Score of at least 550 (pBT).TOEFL (IBT) overall score of 80 with a writing Score of 25, or IELTS overall score of 6.0 with a Writing Score of 6.5.
English language requirements
托福(TOEFL iBT)總分: 80.0
最後申請期限:
這個日期的預約已滿,聯絡IDP的顧問以獲得詳細資訊
更多資訊
評價與排名
學生評價
尚未收到該校的評價
近期活動
想了解更多關於此處的資訊?請看 IDP如何蒐集並展示課程資訊. 此處的資訊內容若有誤,IDP不負任何責任與義務。建議您直接洽詢IDP的專業顧問,以獲得最新最準確的資訊。
我們開始吧!
一鍵註冊或登入
檢視清單 或關閉此視窗以繼續搜尋