Chevron Left
返回到 Excel Fundamentals for Data Analysis

学生对 麦考瑞大学 提供的 Excel Fundamentals for Data Analysis 的评价和反馈

4.8
2,836 个评分

课程概述

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....

热门审阅

MC

Sep 24, 2022

It was an excellent experience to learn in these type of flatform. This is course give me a tremoundous learning oppurtunity . iam studied all studied materila, attended all quizes with 80 t0 95% .

FV

Jul 17, 2020

Well done. A small thing, though: in the quizzes, the grading could be made more fault-tolerant. Example: an answer such as AND(y,x) instead of AND(x,y) is deemed wrong, which borders on the nasty.

筛选依据:

276 - Excel Fundamentals for Data Analysis 的 300 个评论(共 739 个)

创建者 Juan N A A

Mar 16, 2022

创建者 Ercan A

Mar 16, 2021

创建者 MIGUEL C T

Nov 22, 2020

创建者 Eslam A G A A

May 6, 2022

创建者 Ellenita R R

May 10, 2021

创建者 Yunus Ö

Feb 13, 2021

创建者 Yong V K

Oct 7, 2020

创建者 Teerapipat P

Jul 24, 2020

创建者 Bronwen P

Sep 11, 2021

创建者 Md. M A

Aug 23, 2021

创建者 Y.Chandra S

Sep 14, 2020

创建者 shahid a

Aug 8, 2022

创建者 Asha T

Jul 17, 2022

创建者 Radwa M

Feb 4, 2022

创建者 Diego A A G

Dec 27, 2021

创建者 Kevin H

Sep 30, 2021

创建者 Roy C J

Oct 20, 2020

创建者 Samuel O

Mar 1, 2021

创建者 Jonathan V

Jun 6, 2022

创建者 Pramote S

Mar 10, 2022

创建者 Quy N N

Dec 22, 2021

创建者 MOHAMAD E M Z

Apr 3, 2021

创建者 vaibhav s

Jul 20, 2020

创建者 Arpan T

Feb 24, 2022

创建者 Dac A T P

Jun 29, 2021