Introduction to Excel

with Ned Krastev
4.8/5
(3728)

Even in data science, smaller datasets are processed quicker in Excel rather than Python, R, or SQL. This course gives you the skills you need to crunch numbers in the number one spreadsheet program.

4 hours 83 lessons
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Course Overview

Microsoft Excel is the #1 productivity software in the world. A huge amount of data comes in a spreadsheet format, so an analyst needs Excel in their arsenal. This course will teach you all the Excel skills you need to perform multi-layered calculations, create charts, manipulate data, look up functions, and more!

83 High Quality Lessons
3 Practical Tasks
4 Hours of Video
Certificate of Achievement

Topics covered

data analysisdata visualizationExcel

What You'll Learn

Every data analyst needs Excel in their arsenal. This course will teach you how to apply various Excel techniques for performing calculations, data manipulations, analyses, and more!

Understand Excel best practices
Navigate spreadsheets professionally 
Use keyboard shortcuts 
How to use Excel functions 
Insert and format different types of charts 
Work with pivot tables 

Curriculum

Student feedback

4.8/5

3728 ratings
5 stars
3251 (87%)
4 stars
385 (10%)
3 stars
74 (2%)
2 stars
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18.11.2022
As a total beginner in this field, I feel like I couldn't follow entirely with all the terms. I recommend adding to course information which courses are recommended to follow before this one. Furthermore, the location of the exam within the course should be changed, as already suggested in the comments. Lastly, I wasn't fan of how the videos had various styles instead of sticking to one style, and the last video also repeats information that was taught in an earlier video. It would be good to pay attention to this sort of things when making changes to courses. Overall, I did learn a lot of new things in Excel. I could follow it relatively well considering I have no background in this field.
17.11.2022
The only problem I find is that the lessons are kind of disconnected, if I learn one thing, then I have to wait a lot lessons apart to know further how it is helpful. The tests also cover stuff we have not learned in the module, it is only in the next module I find what needed to be done in the previous test.
11.07.2022
Needs functionality for users with Google Sheets instead of Excel. While most of the functions and formulas work the same during practice, I can't do anything with the exam materials provided since I can't pay for office and can't even click through the files. Very disappointed.
28.01.2023
"Numbers stored as text" error after creating the code column and trying to paste special values. This was mentioned on "Create a Code" by another student but hasn't been answered. I'm going to keep going and tell it to ignore, let's see if this derails the entire process.
06.12.2022
At the moment of me writing this, I am in part 2 of the course, Useful Tools & Tips, and I like how the course is structured, I like that we are given exercises to do ourselves, and I like we are given material to read. I hope I can learn a new thing or two from excel.
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“The ability to work effectively and efficiently with a spreadsheet software is one of the most valuable skills you can acquire at the beginning of your career. Excel is a must for anyone who wants to work with data and share their work with colleagues.”

Ned Krastev
CEO at 365 Data Science
Introduction to Excel

with Ned Krastev

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