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Microsoft Excel Hands on Specialization For Data Analytics

Learn how to manage, analyze, and visualize data with Excel to transform raw data into ready to use information.
4.7
4.7/5
(53 reviews)
263 students
Created by

9.1

Classbaze Grade®

7.8

Freshness

9.6

Popularity

9.4

Material

Learn how to manage
Platform: Udemy
Video: 8h 29m
Language: English
Next start: On Demand

Best Excel VBA classes:

Classbaze Rating

Classbaze Grade®

9.1 / 10

CourseMarks Score® helps students to find the best classes. We aggregate 18 factors, including freshness, student feedback and content diversity.

Freshness

7.8 / 10
This course was last updated on 7/2020.

Course content can become outdated quite quickly. After analysing 71,530 courses, we found that the highest rated courses are updated every year. If a course has not been updated for more than 2 years, you should carefully evaluate the course before enrolling.

Popularity

9.6 / 10
We analyzed factors such as the rating (4.7/5) and the ratio between the number of reviews and the number of students, which is a great signal of student commitment.

New courses are hard to evaluate because there are no or just a few student ratings, but Student Feedback Score helps you find great courses even with fewer reviews.

Material

9.4 / 10
Video Score: 8.9 / 10
The course includes 8h 29m video content. Courses with more videos usually have a higher average rating. We have found that the sweet spot is 16 hours of video, which is long enough to teach a topic comprehensively, but not overwhelming. Courses over 16 hours of video gets the maximum score.
The average video length is 6 hours 20 minutes of 125 Excel VBA courses on Udemy.
Detail Score: 9.4 / 10

The top online course contains a detailed description of the course, what you will learn and also a detailed description about the instructor.

Extra Content Score: 9.9 / 10

Tests, exercises, articles and other resources help students to better understand and deepen their understanding of the topic.

This course contains:

2 articles.
1 resources.
0 exercise.
0 test.

In this page

About the course

Welcome to this course: Microsoft Excel Hands on Specialization For Data Analytics. Microsoft Excel is one of the easiest to use data analysis tools you will ever come across. It has a battery of supplied functions to answer statistical, engineering and financial needs. In addition, it can display data as line graphs, histograms and charts, and with a very limited three-dimensional graphical display. Its simplicity and powerful features has made it the go to tool for all your data needs. Complex operations with Excel, such as creating charts and graphs, visualization, and analyzing data make it a great tool for managers, data scientists, financial data analysts, and those who work closely with data. Learning data analysis and will help you bring your data skills to the next level.
In this course, you’ll learn:
•Learn How to create formulas to help you analyze and explain findings
•Learn and Understand Data Cleansing
•Learn various ways to model data for businesses
•Build impressive tables and combine datasets using Excel’s built-in functionality
•Leverage Excel’s powerful built-in tools to get the median, maximum, and minimum values of your data
•Learning Power Query, Power Map, and Power Pivot
At the end of the course, you’ll be provided with useful shortcuts and tips, enabling you to do efficient data analysis with Microsoft Excel. So let’s get started.

What can you learn from this course?

✓ Learn How to create formulas to help you analyze and explain findings
✓ Learn and Understand Data Cleansing
✓ Learn various ways to model data for businesses
✓ Build impressive tables and combine datasets using Excel’s built-in functionality
✓ Leverage Excel’s powerful built-in tools to get the median, maximum, and minimum values of your data
✓ Learning Power Query, Power Map, and Power Pivot

What you need to start the course?

• A PC or Mac
• Internet Access

Who is this course is made for?

• Software Developers
• Programmers
• Anyone interested in Big Data
• Anyone interested in Microsoft Excel 2016

Are there coupons or discounts for Microsoft Excel Hands on Specialization For Data Analytics ? What is the current price?

The course costs $14.99. And currently there is a 82% discount on the original price of the course, which was $84.99. So you save $70 if you enroll the course now.
The average price is $16.6 of 125 Excel VBA courses. So this course is 10% cheaper than the average Excel VBA course on Udemy.

Will I be refunded if I'm not satisfied with the Microsoft Excel Hands on Specialization For Data Analytics course?

YES, Microsoft Excel Hands on Specialization For Data Analytics has a 30-day money back guarantee. The 30-day refund policy is designed to allow students to study without risk.

Are there any financial aid for this course?

Currently we could not find a scholarship for the Microsoft Excel Hands on Specialization For Data Analytics course, but there is a $70 discount from the original price ($84.99). So the current price is just $14.99.

Who will teach this course? Can I trust Thinkahead Academy, LLC.?

Thinkahead Academy, LLC. has created 7 courses that got 608 reviews which are generally positive. Thinkahead Academy, LLC. has taught 3,640 students and received a 4.2 average review out of 608 reviews. Depending on the information available, we think that Thinkahead Academy, LLC. is an instructor that you can trust.
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Thinkahead Academy is a specialist creator and distributor of high-quality technology courses. We bring together leading experts from around the world so you can learn from the best. Each course undergoes a rigorous planning, review and an internal quality check phase – to ensure that the teaching is of highest standards available online. Our experts will teach you skills that will have an immediate positive impact on your life and career. We help you learn from the very best.
Browse all courses by on Classbaze.

9.1

Classbaze Grade®

7.8

Freshness

9.6

Popularity

9.4

Material

Platform: Udemy
Video: 8h 29m
Language: English
Next start: On Demand

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