Introduction to Data Analysis using EXCEL
Description
Course Released: Oct 26, 2017
Do any of the following apply to you?
- You have data for your work or business but you're not sure what to make of it?
- You might know your way around Excel but you're not confident about turning data into business insights
- You frequently receive Excel spreadsheets from others but want to better understand how they arrived at their conclusions?
- You want to learn the best practices when it comes to using Excel for data analysis.
- You are intimidated by spreadsheets and terms like Pivot Tables and VLookups
- You want to learn skill set that is useful for any role in any industry you get into later.
Every business generates data. But whether you're able to turn that into insides depends on your ability to process, manipulate, and ultimately translate that data into useful insights.
Whether you're working for a company or running your own, being able to make better decisions require you to be able to analyze and interpret data.
What data do you need? How do you prep that data? How do you analyze it to answer specific questions?
In this course, we're going to show you step by step, exactly how to do that, by starting with the very basics.
Why Microsoft Excel?
Excel is still the most widely used analytical tool used by analysts in all industries across all roles. It's used by financial analysts, marketing analysts, sales analysts, and of course, data analysts.
Yes, there are many more tools out there but if you learn and master the core concepts and techniques of data analysis in Excel, you'll be able to apply those learnings to other areas.
But do not underestimate Excel--a single worksheet can technically hold more than 17 BILLION data points (but it will make your computer REALLY slow). And for most of us running analysis most of the time, we'll need to process far fewer data points than this.
Why learn from us?
By signing up with us, you will be learning from two instructors with a combined 35 years of relevant experience across a wide range of analyst roles.
Travis has been a digital marketer, investor, and entrepreneur for 20 years, having also led growth in Asia for Groupon and previously even helping to build Excel as an engineer at Microsoft. He is a data analysis and data visualization expert and will be pull from his industry experience to teach some advanced data analysis topics to students in this course.
Symon has been interpreting and analyzing data for 15 years. He has served as financial analyst, marketing analyst, and even head of marketing analytics across half a dozen industries. If you look at his other courses on Udemy, you'll see that he is an Excel and analysis ninja, having taught over 50,000 students with over 2400 reviews.
Together, we pull directly from our experience and put it in this course--in fact, all of the case studies are inspired by real world projects we had personal experience with.
What if I don't have any data analysis or Excel background?
No worries! This is why we start with the very basics in our foundational sections, which is meant to get you familiar with Excel first. You can be a complete newbie and take this course. It will sometimes feel like you're drinking out of a firehose, but you will become proficient by following our course and doing the exercises.
We then progressively increase the difficulty as you move along in the course, culminating in advanced techniques taught through our case studies.
If you do have an Excel background, you can skip or skim through the foundational sections and move directly into the more advanced topics.
Tell me again why I should take your course?
You have absolutely ZERO risk.
Udemy gives you a solid as an oak tree 30-day money back guarantee.
So if you've read this far, we welcome you to join us inside!
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