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Вернуться к Excel Fundamentals for Data Analysis

Отзывы учащихся о курсе Excel Fundamentals for Data Analysis от партнера Университет Маккуори

4.8
звезд
Оценки: 2,271
•
Рецензии: 580

О курсе

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....

Лучшие рецензии

FV

17 июля 2020 г.

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.

AV

10 июля 2020 г.

Super fun and and intellectual course. Real need of hour to excel in Excel :) . This course helped a lot, in improving skills in excel analytics.\n\nspecial thanks to both the instructors !!!!!!!

Фильтр по:

376–400 из 615 отзывов о курсе Excel Fundamentals for Data Analysis

автор: PADAKANTI V

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11 дек. 2020 г.

Useful course for data analysis work

автор: Hariswaroop V

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22 дек. 2021 г.

Good Knowledge gained & Informative

автор: Nastaran M R

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26 мар. 2021 г.

A very practical and useful course.

автор: Mustafa R M

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20 мар. 2021 г.

very helpful and easy to understand

автор: Jose G M P

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4 февр. 2021 г.

muy buen curso en verdad se aprende

автор: Anna G

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25 нояб. 2020 г.

Great Course. Enjoyed it very much.

автор: jeevan g

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31 июля 2021 г.

very knowledgeable and inquistive

автор: Robert C

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27 июля 2021 г.

Great content, pace and delivery.

автор: Suraj K P

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27 июня 2021 г.

It was really an excellent course

автор: mila a

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11 июня 2021 г.

I learn many thing in this course

автор: laura B

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18 июля 2020 г.

VERY INTERESTING AND INTERACTIVE.

автор: Divyanshu G

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8 февр. 2022 г.

Final assesment was so confusing

автор: Fabrizio T

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25 янв. 2022 г.

​Very practical and well taught!

автор: Bá N B N

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1 дек. 2021 г.

very useful and practical course

автор: Kanny

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14 сент. 2021 г.

Useful skill on the Excel usage!

автор: SHARAN S

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12 авг. 2021 г.

Excellent contents and teaching.

автор: Sherif E

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21 июня 2021 г.

thank you for your great coerses

автор: Ravi A

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8 мар. 2021 г.

Very good Online training course

автор: Rupa G

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12 окт. 2020 г.

This is a really helpful course.

автор: Whitney H

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16 дек. 2020 г.

THIS COURSE WAS VERY HELPFUL :)

автор: Mit A P

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19 сент. 2020 г.

Thank you so much God.om shanti

автор: Juan C D M

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13 дек. 2021 г.

Very informative and practical

автор: Sharif M

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9 сент. 2021 г.

I am too much glad. Thank you.

автор: Ηλιας Φ

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13 июля 2021 г.

Very educative program at all.

автор: Diane M

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15 июня 2021 г.

A very good fundamental course

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