Essential Microsoft Excel For Beginner to Advanced
What you'll learn
- Excel Terminology
- Data Selection
- Data Ranking
- Data Navigation
- Fixing Text Cases
- Understand English Language
- Able To Run Computer
Looking to learn Microsoft Excel and improve your data analysis skills but don't know where to start?
OR, you've been using Microsoft Excel for a while but don't feel 100% confident?
There is so much information out there. What do you need to succeed at work?
I’ve picked out the Excel Essential skills a Data Analyst needs and packaged them in a structured course.
In fact, I collected the most common Excel problems faced by my clients. I added in my 15+ years' experience in finance and project management. I included all the hidden tips and tricks I came to learn as an Excel MVP and put it ALL in THIS course. I also made sure it covers the absolute Excel beginners.
These practical, real-world examples help you understand the full potential of each feature. You'll learn how to use Excel for quick and painless data analysis.
There are many helpful and time-saving Excel formulas and features. We tend to forget what these are if we don't use them. This Microsoft Excel Essentials Course will give you the practice you need to be able to apply the best solution for the task at hand. This way you can do more in less time.
Some reviews from actual course students
Vishal Brijesh KanojiyaUpdated 21 days ago
Rating: 5.0 out of 5
nice video tutorial and i have learned lot's of thing and now i feel like i know excel very well
Who this course is for:
- Beginner who want to learn excel from beginning
I am Austin Morris and I have expertise is multiple areas like excel and much more! I specially expert of Microsoft Office Course and dedicated to helping you to learn Word, Powerpoint, Excel, Office 365. His courses are for those who want to shine at work, accelerate their careers and achieve more in less time. I inspire analysts to do better with data through interviews, tips, and community engagement with Excel and BI technologies, including data visualization, dashboarding, VBA, and deep analytical practices.