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所在平台: Udemy |
课程主页: https://www.udemy.com/course/ms-excel-automation-excel-data-analysis-with-python/
课程评论：没有评论
课程名称：MS Excel 自动化数据分析与 Python 课程概述： “MS Excel 自动化数据分析与 Python”是一个全面的指南，旨在教授如何结合 Python 与 Microsoft Excel 进行高级数据分析与自动化重复任务。该课程介绍了使用 Python 库（如 openpyxl）进行 Excel 自动化的基本概念，并演示了如何创建和操作工作簿及工作表。学生将学习如何插入和格式化数据，包括合并和拆分单元格、添加注释及应用条件格式。课程还涵盖各种图表类型，如柱状图、折线图、饼图和气泡图，并讲解如何使用公式和数据验证。此外，课程教会学生如何保护和安全地使用工作簿，应用过滤和排序功能。完成课程后，学生将能够熟练使用 Python 与 Excel 结合，自动化数据分析任务，提高工作效率。 课程大纲： - Excel 自动化与 OpenPyxl - Excel 介绍 - 基于 Python 的 Excel 库、安装 openpyxl、创建基础文件以插入数据 - 创建工作簿和工作表 - 插入数据、访问单元格、加载文件、添加注释、保存文件 - 插入图像 - 合并与拆分单元格、文本格式、对齐、边框、背景色 - 只读模式与写入模式、openpyxl 与 Pandas、openpyxl 与 Numpy - 使用 openpyxl 创建图表 - 柱状图、条形图、折线图、区域图、气泡图 - 条件格式 - 大于、小于、等于特定值、包含特定值、数值区间的高亮 - 排序与过滤、Excel 打印设置 - 使用 openpyxl 创建表格 - 表格创建、新行和数据插入、新列和数据插入、行和列背景色更改 - 使用公式 - 保护和安全工作簿、单元格数据验证 完成后，学生将能够： - 理解 Excel 的基本功能。 - 使用 Python 库（如 openpyxl）处理 Excel 文件。 - 安装并利用 openpyxl 程序化创建、读取和操作 Excel 文件。 - 创建工作簿与工作表，向特定单元格插入数据，访问单元格值并修改内容。 - 处理 Excel 文件的只读与写入模式，使用 openpyxl 与 Pandas 和 Numpy 进行数据处理与分析。 - 在 Excel 中生成各种类型的图表。 - 应用条件格式以高亮特定条件的单元格。 - 通过编程方式管理表格、插入数据并定制外观。 - 使用 Python 在 Excel 文件中处理公式并理解工作簿安全技术，如数据验证和保护设置。 讲师介绍： Faisal Zamir 是一位经验丰富的程序员，拥有计算机科学硕士学位，并在学校、学院和大学拥有超过七年的教学经验。他对计算机科学领域充满热情，具备独特的教学风格，能够将理论与实践结合，帮助学生在真实场景中应用所学知识。 使用 OpenPyXL Python 库您可以： 1. 创建新的 Excel 工作簿和工作表。 2. 读取及写入 Excel 电子表格数据。 3. 格式化 Excel 单元格，包括字体、颜色、边框和对齐。 4. 在 Excel 中合并和分隔单元格。 5. 创建多种图表，如柱状图、折线图、饼图和散点图。 6. 在 Excel 电子表格中添加图像。 7. 使用条件格式高亮符合特定条件的单元格。 8. 在 Excel 中排序和过滤数据。 9. 创建 Excel 表格。 10. 验证输入到 Excel 单元格的数据。 11. 使用 Excel 公式，包括函数和运算符。 12. 用密码和用户权限保护 Excel 工作簿。 13. 控制 Excel 的打印设置。 感谢您，Faisal Zamir
Introduction to MS Excel Automation Excel Data Analysis with PythonThe course "MS Excel Automation Excel Data Analysis with Python" offers a comprehensive guide to using Python with Microsoft Excel to perform advanced data analysis and automate repetitive tasks.The course introduces the basic concepts of Excel automation with Python libraries like openpyxl and demonstrates how to create and manipulate workbooks and sheets.The students will learn to insert and format data, including merging and unmerging cells, adding comments, and applying conditional formatting. The course also covers various chart types, including column, line, pie, and bubble charts, and how to use formulas and data validation in Excel.Additionally, the course teaches the students how to protect and secure workbooks and apply filters and sorting.Upon completion of the course, the students will have a solid understanding of how to use Python with Excel to automate data analysis tasks and enhance their productivity.Outlines for this course MS Excel Automation with OpenPyxlIntroduction to Excel - Excel Python-based Libraries, Installation of openpyxl, Creating a Basic File to Insert Data into Excel using openpyxlCreating Workbook & Sheet - Inserting Data into the Cell, Accessing Cell(s), Loading a File, Comments, Saving FileInserting Image - Merging and Unmerging Cells, Formatting Text, Alignment, Border, Background ColorRead-Only Mode - Write-Only Mode, openpyxl with Pandas, openpyxl with NumpyCreating Charts in Excel using openpyxl - Column Chart, Bar Chart, Line Chart, Area Chart, Bubble ChartConditional Formatting - Greater Than a Specific Value, Less Than a Specific Value, Equal to a Specific Value, Contain Specific Value, Between Values, The First 5 Records Highlights, The Last 5 Records HighlightsSorting - Filtering, Print Settings in ExcelTable with openpyxl - Table Creation, Inserting New Row and Data, Inserting New Column and Data, ROW Background Color Change, Column Background Color ChangeWorking with Formulas - Protecting and Securing Workbooks, Data Validation in CellAfter this MS Excel Automation with Python, Student able to:Understand the fundamentals of Excel and its functionalities.Work with Excel files using Python-based libraries like openpyxl.Install and utilize openpyxl for creating, reading, and manipulating Excel files programmatically.Create workbooks and sheets, insert data into specific cells, access cell values, and modify cell content.Load existing Excel files, add comments to cells, and manage file-saving operations.Perform advanced operations such as inserting images, merging and unmerging cells, and formatting text, alignment, borders, and cell background colors.Handle Excel files in read-only and write-only modes using openpyxl.Integrate openpyxl with Pandas and Numpy libraries for data manipulation and analysis within Excel files.Generate various types of charts (e.g., column, bar, line, area, bubble) in Excel using openpyxl.Apply conditional formatting to highlight cells based on specific conditions.Implement sorting, filtering, and print settings programmatically in Excel.Manage tables in Excel, insert data, and customize appearance by changing row and column background colors.Work with formulas within Excel files using Python and understand workbook security techniques like data validation and protection settings.Instructor Experiences and Education:Faisal Zamir is an experienced programmer and an expert in the field of computer science. He holds a Master's degree in Computer Science and has over 7 years of experience working in schools, colleges, and university. Faisal is a highly skilled instructor who is passionate about teaching and mentoring students in the field of computer science.As a programmer, Faisal has worked on various projects and has experience in multiple programming languages, including PHP, Java, and Python.He has also worked on projects involving web development, software engineering, and database management. This broad range of experience has allowed Faisal to develop a deep understanding of the fundamentals of programming and the ability to teach complex concepts in an easy-to-understand manner.As an instructor, Faisal has a proven track record of success. He has taught students of all levels, from beginners to advanced, and has a passion for helping students achieve their goals.Faisal has a unique teaching style that combines theory with practical examples, which allows students to apply what they have learned in real-world scenarios.Overall, Faisal Zamir is a skilled programmer and a talented instructor who is dedicated to helping students achieve their goals in the field of computer science. With his extensive experience and proven track record of success, students can trust that they are learning from an expert in the field.What you can do with OpenPyXL Python Library1. Create new Excel workbooks and worksheets.2. Read and write data to Excel spreadsheets.3. Format Excel cells with fonts, colors, borders, and alignment.4. Merge and unmerge cells in Excel.5. Create charts, such as column, line, pie, and scatter charts, in Excel.6. Add images to Excel spreadsheets.7. Use conditional formatting to highlight cells that meet specific criteria.8. Sort and filter data in Excel.9. Create tables in Excel.10. Validate data entered into Excel cells.11. Work with Excel formulas, including functions and operators.12. Protect Excel workbooks with passwords and user permissions.13. Control print settings in Excel.Thank youFaisal Zamir
