课程
Data Analysis in Google Sheets
基础技能水平
更新时间 2024年9月Google SheetsData Manipulation3 小时11 视频34 练习2,800 经验值27,578成就声明
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试用DataCamp for Business课程描述
Perform Data Analysis in Spreadsheets
Spreadsheets are the world's most popular data analytics tool. Companies and institutions worldwide use it to transform mountains of raw data into clear insights. Strong spreadsheet skills can open new career paths, make you more employable in various industries, and save hours in your daily tasks.Clean and Analyze Real-World Data
The course begins by exploring how spreadsheets handle data. You’ll learn to summarize your data using statistics and manipulate it using handy built-in functions to sort, filter, and even extract unique values.You'll explore the data behind the moons of the Solar System, clean and prepare data on the highest-grossing films, and analyze employee expenses, manufacturing costs, and educational programs to see how your new skills can be applied across industries.
Learn How to Use VLOOKUP
Later chapters in this course will teach you how to analyze your data, including using conditional functions, creating logical expressions, and performing conditional aggregation. You’ll also learn to use ‘the most important function in spreadsheets,’ VLOOKUP, to combine data from different tables before testing your understanding in hands-on exercises.These spreadsheets skills, functions, and time-saving shortcuts can be applied to any industry, whether you’re looking to move to a career in data analysis, or looking to improve your skills in marketing, finance, HR, logistics, and more.
先决条件
Introduction to Google Sheets1
Exploring Data
Learn how data analyst skills in spreadsheets can help you draw clearer insights from data. In this chapter, you'll learn how built-in functions can streamline your spreadsheet workflows and improve the readability of your formulas. You'll learn data exploration techniques, such as calculating summary statistics and manipulations like sorting and filtering.
2
Cleaning and Preparing Data
It is often said that data professionals spend 80% of their time cleaning data and only 20% analyzing it. In this chapter, you'll learn useful functions for cleaning text and DateTime data, two of the trickiest data types to clean. You'll extract date and time components, calculate intervals, and perform a host of common text manipulations on a dataset of the highest-grossing films.
3
Analyzing Data
In this chapter, you'll learn to draw insights from your data. You'll perform complex calculations using conditional functions, logical expressions, and conditional aggregation functions. You'll also learn and apply the most important spreadsheet function: VLOOKUP!
Data Analysis in Google Sheets
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