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学生对 IBM 提供的 Excel Basics for Data Analysis 的评价和反馈

4.7
10,544 个评分

课程概述

Spreadsheet tools like Excel are an essential tool for working with data - whether for data analytics, business, marketing, or research. This course is designed to give you a basic working knowledge of Excel and how to use it for analyzing data. This course is suitable for those who are interested in pursuing a career in data analysis or data science, as well as anyone looking to use Excel for data analysis in their own domain. No prior experience with spreadsheets or coding is required - all you need is a device with a modern web browser and the ability to create a Microsoft account to access Excel online at no cost. If you have a desktop version of Excel, you can also easily follow along with the course. Throughout this course, you'll gain valuable experience working with data sets and spreadsheets. We'll start by introducing you to spreadsheets like Microsoft Excel and Google Sheets, and show you how to load data from multiple formats. From there, you'll learn how to perform basic data wrangling and cleansing tasks using functions, and expand your knowledge of data analysis through the use of filtering, sorting, and pivot tables. There is a strong focus on practice and applied learning in this course. With each lab, you'll have the opportunity to manipulate data and gain hands-on experience using Excel. You'll learn how to clean and format your data efficiently, and convert it into a pivot table to make it more organized and readable. The final project will allow you to showcase your newly acquired data analysis skills by working with real data sets and spreadsheets. By the end of this course, you'll have a solid foundation in using Excel for data analysis. You'll have worked with multiple data sets and spreadsheets, and will have the skills and knowledge needed to effectively clean and analyze data without having to learn any code. So let's get started!...

热门审阅

LM

Jun 15, 2022

Very content with skills I learnt. However, some sections are not well explained and it seemed like the instructor was just going through them. For instance when teaching about "Flash Fill".

LJ

Sep 28, 2021

Great and easy to follow along. The final assignment works with a too simple and unrealistic data set. I would prefer the final assignment to be a bit more challenging and uses a real world data set.

筛选依据:

876 - Excel Basics for Data Analysis 的 900 个评论(共 2,119 个)

创建者 HEMANT K S

Apr 26, 2022

easy to understand .thanks for the IBM

创建者 Muhammad N

Jan 18, 2022

This course helped me a lot. Thank you

创建者 Sumit M

Jan 30, 2025

Indeed Helpful and easy to understand

创建者 Regina M

Nov 1, 2024

Basic course, but it was challenging.

创建者 Naveen K

Jul 12, 2024

Good !! Nice way to learn new skills.

创建者 Jaime B L

Jul 5, 2024

good basics to get started with Excel

创建者 HENRY E

Jun 18, 2023

very interesting and educative course

创建者 Salman M

Jun 16, 2023

Go for it if you want to learn Excel.

创建者 Muhammad A

Jun 15, 2023

that was really fun to do this course

创建者 Emem T

Mar 15, 2023

Excellent, interesting and educative.

创建者 Sanskar T

Feb 3, 2023

Superb Course thanks coursera and ibm

创建者 Priya D

Dec 31, 2022

amazing

very crisp and short but good

创建者 Damith M C

Oct 9, 2022

Great content with mannerly ordered.

创建者 Tejaswi P

Jul 31, 2022

Gets hand-on Excel and Its features .

创建者 Mattia R

May 24, 2022

IT'S A FANTASTIC AND FORMATIVE COURSE

创建者 Martin v d W

Jan 20, 2022

What an awesome course. Thanks a lot.

创建者 oscar t

Nov 16, 2021

Well structured and easy instructions

创建者 florence a

Aug 23, 2025

Great Course with excellent delivery

创建者 Wicaksana R K

Sep 27, 2024

thanks for advancing my excel skills

创建者 omakor j

Sep 13, 2024

Great course for beginners of Excel.

创建者 Sobhan N

Aug 28, 2024

It really helps me to upgrade myself

创建者 Marian N

Aug 18, 2024

Easy to start, insightful for newbie

创建者 Marios L

Aug 13, 2024

A perfect course to begin with excel

创建者 Muhammad S R

Sep 20, 2023

Very Helpful as day to day reporting

创建者 Minh L

Apr 27, 2023

esasy to follow. Must - study course