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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/excel-data-analysis-fundamentals
课程评论：没有评论
课程名称：Excel 数据分析基础 概述：随着数据成为现代货币，快速准确地分析数据的能力变得至关重要。Excel 作为一种功能极其丰富的工具，是进行数据分析的广泛使用程序。在本课程中，您将学习 Excel 的基本操作，以便有效地进行数据分析。完成课程后，您将能够使用多种 Excel 工具和函数清洗和准备数据，利用命名范围和表格实现数据分析自动化，以及使用逻辑和查找函数对数据进行转换、链接和分类。本课程将帮助您打下坚实的基础，提升日常工作的效率，并为后续课程中的高级技巧打下必要的技能基础。课程内容将通过 Zara 的学习旅程进行讲解，Zara 的经历与您的生活息息相关，您将在学习中与她一起提升 Excel 技能，同时享受乐趣。 课程大纲： 1. 欢迎及重要信息 2. 清理和操作文本：掌握Excel的文本函数，通过函数创建和嵌套来有效处理文本数据，以满足特定的商业需求。 3. 数字和日期的操作：学习Excel的日期函数，解决数据格式问题，以及如何进行日期计算。 4. 有效工作的数据命名：了解相对、绝对和混合单元格引用，以及如何使用命名范围来简化公式。 5. 使用表格自动化数据处理：创建和管理数据表，学会使用结构化引用和总行自动化汇总。 6. 逻辑和查找函数：掌握条件逻辑的应用，学习运用 VLOOKUP、INDEX、MATCH 与最新的 XLOOKUP 函数进行高效的数据显示。 7. 期末评估：展示您在整个课程中所学到的所有知识和技能，此评估占总成绩的 25%。 通过参加这个课程，您将能够提升您的技能、自信以及职业机会。
Name:Welcome and critical information
Description:
Name:Cleaning and manipulating text
Description:By the end of this module, you will be an expert in Excel's Text functions. This module discusses ways you can extract information and manipulate data to fulfil specific business requirements. You will develop techniques for working confidently with these Excel functions and unlock the full power of Excel by manipulating and cleaning text data. This is really important because you cannot properly analyse data if it is invalid or in an unsuitable format. You will begin with the mechanics of creating a function, specifying multiple arguments, and then you will look at how to work with text in functions. You will also learn how to use multiple functions in a single formula — a technique known as nesting. The topics you will be learning this week: Functions for Combining Text; Functions for Splitting Text; Combining Text Functions; Cleaning Data & Changing Case; and Removing and replacing unwanted characters.
Name:Working with numbers and dates
Description:By the end of this module, you will be an expert in Excel's Date functions. This module discusses ways that you can extract information and manipulate data to fulfil specific business requirements. You will also be looking at functions for converting data types: such as text to numbers, dates to text, and then both numbers and text to dates. You will learn to solve the problem of data not being in the correct format, and you will learn how to perform arithmetic operations with dates like you would with numbers, as well as performing calculations with dates. You will also learn some really great functions specifically for solving day-to-day tricky date problems that are required in business such as the WORKDAY, EDATE and EOMONTH functions. The topics you will be learning this week: Converting Data Types; Understanding dates and basic date functions; Generating valid dates; Calculating days between two dates; and Calculating dates from a given date.
Name:Defined Names for working more effectively with data
Description:In this module, you will learn about different types of cell referencing: relative cell referencing, absolute cell referencing, and mixed cell referencing. You will then learn about a great Excel functionality, Named Ranges — which is another way of referencing a cell or a range of cells by giving them a sensible name. You will see that named ranges make our formulas much easier to understand and you will also see how it makes them much easier to create — using tools such as Define Name and Create from Selection. You will also learn about Excel's Name Box and the Name Manager. You will learn some exciting Excel functions that allow you to aggregate and summarise data — such as SUMIFS and COUNTIFS, and much more. The topics you will be learning this week: Cell referencing and naming; Creating named ranges; Managing named ranges; Calculations with named ranges; and Automating processes with named ranges.
Name:Tables for automating data manipulation
Description:In this module, you will learn that a table in Excel is more like a database of records and fields which contains a set of related information — such as a table of inventory data. You will learn how to create, format, and manage tables, and you will learn how to easily format, select, sort, and filter in a table. You will also learn about the Total Row where you can just pick from a set of automated summarisation functions. You will learn about structured referencing — where you can continue to work with the data in a table, but the formulas look slightly different because tables use a different way to reference cells. You will also learn how to automatically extend tables whenever new data is added. The topics you will be learning this week: Creating, naming and removing tables; Formatting and selecting in tables; Sorting and filtering tables; Performing calculations with structured references; and Automating processes with tables.
Name:Logical and lookup functions
Description:You will learn two great Excel skills in this week’s module — first, you will learn about conditional logic, and second, you will learn about automating lookups. The two of these tools together will push your data analytics to the next level! Excel has several logical functions and this module explores some of them, such as AND, OR, and IF. You will start by learning the concept of conditional logic, and how conditional logic works in Excel formulas. You will then learn to conduct logic tests and use conditional operations. For more complex logic tree scenarios, you will learn how to use nested IF functions to evaluate data. You will then learn about lookup functions — these are widely used in data analytics for connecting data sets as well as error checking. You will learn about one of the most widely used lookup functions in business — VLOOKUP, as well as other lookup functions such as INDEX and MATCH, as well as Excel newest lookup function — XLOOKUP. The topics you will be learning this week: Performing logical operations with IF; Applying advanced logical operations; Categorising data with VLOOKUP; Matching data with VLOOKUP and XLOOKUP; and Advanced data matching with INDEX and MATCH.
Name:Final assessment
Description:This is the final assessment of the course and it is worth 25% of your total grade. As this is the final assessment, it requires you to demonstrate the learning objectives from each of the weeks — and thus requires you to demonstrate all the learning objectives of the entire course.
As data becomes the modern currency, so the ability to analyse the data quickly and accurately has become of paramount importance. Excel with its extraordinarily broad range of features and capabilities is one of the most widely used programs for doing this. In the first course of our Excel Skills for Data Analysis and Visualization Specialization, you will learn the fundamentals of Excel for data analysis. When you have completed the course, you will be able to use a range of Excel tools and functions to clean and prepare data for analysis; automate data analysis with the help of Named Ranges and Tables; and use logical and lookup functions to transform, link and categorise data. This course will enable you to build a strong foundation in the fundamentals, helping you to be more efficient in your day-to-day and developing the necessary skills to work with the more advanced techniques used in later courses. To make the content easy to relate to and to personalize the learning experience, we are going to follow Zara's journey through the course. Who is Zara? Well, she is no-one and everyone. You will find that Zara's trials and tribulations sound familiar, and together with Zara, you will develop your Excel skills along the way — and, importantly, have some fun doing it. The Excel Skills for Data Analytics and Visualization courses are the sequel to one of most successful specializations on Coursera, Excel Skills for Business, which has attracted hundreds of thousands of learners and top ratings. Transform your skills, your confidence, and your opportunities by adding this new set of skills to your repertoire.
