1. 製作 PPT 及美編
• 指使用 PowerPoint 等軟體製作簡報,同時進行視覺美化設計(美編),例如調整版面配置、使用圖示、配色等,提升簡報的美觀度和吸引力。
2. 資料清理(Python)
• 使用 Python 程式進行資料清理,包含辨識及修正資料中的錯誤或不一致之處。例如,處理缺失值、校正資料類型或刪除重複資料,以確保資料的正確性和一致性。
3. 資料視覺化(Power BI)
• 使用 Power BI 創建互動式儀表板或圖表,將資料轉換為可視化的形式,幫助使用者直觀理解資料中的趨勢、模式或關聯性。
4. 資料串接
• 指將多個來源的資料整合為一致的視圖,確保不同系統、應用程式或平台之間的資料無縫連接。這可能涉及 ETL(提取、轉換、載入)流程或 API 連接。
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1. Creating PPTs and Graphic Design
• This involves designing presentation slides, typically using software like PowerPoint (PPT). “Graphic design” (美編) refers to enhancing the visual appeal through layout adjustments, icons, colors, and other artistic elements.
2. Data Cleaning (Python)
• This refers to the process of identifying and correcting errors or inconsistencies in datasets using Python programming. Tasks may include handling missing values, correcting data types, or removing duplicates to ensure data quality.
3. Data Visualization (Power BI)
• This involves creating interactive dashboards or charts using Power BI to represent data insights visually. It helps in understanding trends, patterns, and relationships in the data more intuitively.
4. Data Integration
• Data integration refers to combining data from multiple sources into a unified view, ensuring seamless communication between different systems, applications, or platforms. It may involve ETL (Extract, Transform, Load) processes or API connections.