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所在平台: Udemy |
课程主页: https://www.udemy.com/course/dpa-vnsgu-sem1/
课程评论：没有评论
课程总结：DPA: 数据处理与分析 VNSGU 第一学期 本课程旨在为学习者提供Excel电子表格的基本概念和数据管理的能力。课程主要包括以下几个方面： 1. **工作表和工作簿基础**： - 工作表是Excel工作簿中的单个页面，用于存储和操作数据。 - 工作簿是多个工作表的集合，并保存在一个文件中。 - 电子表格是纸质账本的数字等价物，以行和列的形式组织数据。 2. **管理工作表和单元格**： - 学习如何添加、重命名和删除工作表。 - 强调插入或删除整行、整列或单元格。 - 调整单元格尺寸，包括行高和列宽。 - 使用单元格地址和公式栏来输入数据或公式。 - 基本操作如剪切、复制、粘贴以及格式刷的使用。 3. **格式设置与增强**： - 定制单元格外观，包括数字格式、字体样式和颜色。 - 向工作表中插入图片、形状和文本框，设置页面布局以及文件管理。 4. **图表、数据和函数**： - 创建各类图表（如2D和3D图表）。 - 学习基本函数（如SUM、AVERAGE、IF等）以及日期和时间函数。 - 数据管理技巧，包括排序、过滤及应用条件格式。 5. **数据库概念**： - 了解数据库管理系统（DBMS）及其特点如数据独立性和最小化冗余。 - 学习数据库架构与模型，包括层级、网络和关系模型。 6. **键与关系**： - 探讨各种键（如主键、外键）以及规范化的概念。 - 理解功能依赖性及异常处理。 7. **SQL基础**： - 掌握结构化查询语言（SQL）的基本用法，包括数据定义、数据操作和查询语言。 - 了解查询约束、排序聚合以及视图的创建。 通过本课程，学习者将掌握数据处理和分析的基础技能，并能够有效地管理和操作电子表格和数据库。
Worksheet, Workbook, and Spreadsheet BasicsWorksheet Concept: A worksheet is a single page within an Excel workbook where data is stored and manipulated.Workbook Fundamentals: A workbook is a collection of worksheets, saved in a single file.Spreadsheet Basics: A spreadsheet is the digital equivalent of a paper ledger, containing data organized in rows and columns.Managing Worksheets and CellsAdding, Renaming, and Deleting Worksheets: Users can create, rename, and delete worksheets within a workbook.Inserting/Deleting Rows and Columns: Insert or delete entire rows, columns, or cells.Cell Size Adjustment: Modify cell dimensions, including row height and column width.Cell Address and Formula Bar: Cells are identified by a combination of letters (columns) and numbers (rows) and can contain data or formulas.Cut, Copy, Paste: Basic operations for moving data within the sheet, including options like "Paste Special" for conditional pasting.Format Painter: Copies formatting from one cell or area to another.Formatting and EnhancementsCell Formatting: Customize cell appearance, including number formats, font styles, and colors.Inserting Media: Add pictures, shapes, and textboxes to a worksheet.Page Layout: Set headers, footers, and other print-related settings.File Management: Save, save as (different format like CSV), spell check, and sheet protection options.Split, Hide, Freeze Panes: Useful for managing large datasets by freezing certain areas, hiding content, or splitting the screen.Charts, Data, and FunctionsChart Types: Create 2D and 3D charts such as columns, lines, pies, bars, and scatter plots.Basic Functions: Functions like Power, Sqrt, Abs, Floor, Ceiling, Int, Trunc, Round, Sum, Average, Count, Max, Min, Sumif, Pmt, Stddev.Logical Functions: IF, AND, OR, NOT, TRUE, FALSE for conditional logic.Date and Time Functions: Date, day, time, now, hour, minute, second, month, Days360, weekday.Data Management: Sort, filter, and apply conditional formatting or cell validation.Advanced Options: Subtotals, text-to-columns, and duplicate removal.Database ConceptsDBMS Introduction: A Database Management System (DBMS) is software for storing and retrieving users' data efficiently.Database Characteristics: Includes data independence, minimized redundancy, and optimized data access.Data Independence: Logical and physical separation between data and applications.DBA Role: Database Administrator manages the database's performance, security, and maintenance.Database Architecture and ModelsDatabase Architecture: 1-tier (standalone), 2-tier (client-server), 3-tier (multi-tier).Database Models: Hierarchical, Network, E/R (Entity-Relationship), and Relational models.Schema and Instance: Schema is the design, while the instance is the actual data.E/R Diagram Elements: Entities, relationships, attributes, and mapping cardinalities (1:1, 1, M:1, M).Keys and RelationshipsTypes of Keys: Super key, candidate key, primary key, composite key, unique key, and foreign key.Normalization: Organizing data to reduce redundancy and improve data integrity.Anomalies: Insert, update, delete.Functional Dependency: Relationships between columns.Normal Forms: 1NF, 2NF, 3NF, BCNF.SQL FundamentalsSQL Overview: Structured Query Language (SQL) is used to manage and manipulate relational databases.SQL Datatypes: Different data types (e.g., INT, VARCHAR, DATE).DDL (Data Definition Language): Commands like Create, Drop, Truncate, Rename, Alter for managing table structure.DML (Data Manipulation Language): Insert, Update, Delete to manage data.DQL (Data Query Language): SELECT to retrieve data.Querying and ConstraintsConstraints: NOT NULL, CHECK, DEFAULT, UNIQUE, primary key, foreign key, and cascading deletes.WHERE Clause and Operators: Filtering data with operators like IN, BETWEEN, LIKE, AND, OR.Ordering and Aggregation: ORDER BY, DISTINCT, GROUP BY, HAVING, and aggregate functions like AVG, MAX, MIN, SUM, COUNT.Views: Virtual tables created from SQL queries for simplified data access.
