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:

1 - Excel Fundamentals for Data Analysis 的 25 个评论(共 739 个)

创建者 Jaime R

Jun 21, 2020

创建者 Ulvi K

Aug 16, 2020

创建者 Fred V

Jul 18, 2020

创建者 Richard A

Sep 8, 2020

创建者 Apoorv V

Jul 11, 2020

创建者 Humaira M

Jul 13, 2020

创建者 hope m

Nov 9, 2020

创建者 Lauren S

Jul 10, 2020

创建者 Himanshu

Dec 5, 2021

创建者 Dipesh C

Jul 10, 2020

创建者 angeli r p

May 8, 2022

创建者 Mario O

Jul 31, 2020

创建者 Vaishnavi S

Aug 21, 2020

创建者 Ka K C C

Jul 9, 2021

创建者 Paul J B

May 26, 2021

创建者 Isabelle R R

Aug 10, 2021

创建者 Nur S M H

Nov 4, 2020

创建者 May T Z

Sep 18, 2020

创建者 Eza S

Feb 6, 2021

创建者 Rachid Z

Aug 22, 2020

创建者 Jonas K

Mar 15, 2021

创建者 Dea F A

Aug 26, 2021

创建者 Eduardo B

May 12, 2021

创建者 Heleen B

Jun 30, 2020

创建者 FRANCIS J G

Jul 22, 2020