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Data Visualization with Advanced Excel

In this course, you will get hands-on instruction of advanced Excel 2013 functions. You’ll learn to use PowerPivot to build databases and data models. We’l...
4.8
4.8/5
(2,678 reviews)
74,300 students
Created by

9.0

Classbaze Grade®

N/A

Freshness

8.8

Popularity

8.8

Material

Data Visualization with Advanced Excel
Platform: Coursera
Video: 5h 17m
Language: English

Best Data Analysis classes:

Classbaze Rating

Classbaze Grade®

9.0 / 10

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

Freshness

Course content can become outdated quite quickly.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

8.8 / 10
We analyzed factors such as the rating (4.8/5) 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

8.8 / 10
Video Score: 8.4 / 10
The course includes 5h 17m 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 4 hours 49 minutes of 559 Data Analysis courses on Coursera.
Detail Score: 8.0 / 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: 9.8 / 10

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

This course contains:

8 articles.
0 resource.
0 exercise.
4 tests or quizzes.

In this page

About the course

In this course, you will get hands-on instruction of advanced Excel 2013 functions. You’ll learn to use PowerPivot to build databases and data models. We’ll show you how to perform different types of scenario and simulation analysis and you’ll have an opportunity to practice these skills by leveraging some of Excel’s built in tools including, solver, data tables, scenario manager and goal seek. In the second half of the course, will cover how to visualize data, tell a story and explore data by reviewing core principles of data visualization and dashboarding. You’ll use Excel to build complex graphs and Power View reports and then start to combine them into dynamic dashboards.

Note: Learners will need PowerPivot to complete some of the exercises. Please use MS Excel 2013 version. If you have other MS Excel versions or a MAC you might not be able to complete all assignments.

This course was created by PricewaterhouseCoopers LLP with an address at 300 Madison Avenue, New York, New York, 10017.

What can you learn from this course?

What you need to start the course?

There is no prerequisite, anyone can begin this course.. This course is also great for beginners without any Data Analysis knowledge.

Who is this course is made for?

This course is suitable for beginners.

Are there coupons or discounts for Data Visualization with Advanced Excel ? What is the current price?

Access to most course materials is FREE in audit mode on Coursera. If you wish to earn a certificate and access graded assignments, you must purchase the certificate experience during or after your audit.

If the course does not offer the audit option, you can still take a free 7-day trial.
The average price is $8.1 of 559 Data Analysis courses. So this course is 100% cheaper than the average Data Analysis course on Coursera.

Will I be refunded if I'm not satisfied with the Data Visualization with Advanced Excel course?

Coursera offers a 7-day free trial for subscribers.

Are there any financial aid for this course?

YES, you can get a scholarship or Financial Aid for Coursera courses. The first step is to fill out an application about your educational background, career goals, and financial circumstances. Learn more about financial aid on Coursera.

Who will teach this course? Can I trust Alex Mannella?

Alex Mannella has created 5 courses that got 164 reviews which are generally positive. Alex Mannella has taught 266,508 students and received a 4.72 average review out of 164 reviews. Depending on the information available, we think that Alex Mannella is an instructor that you can trust.
PwC
PLEASE NOTE: If you are experiencing access or payment issues, please reach out the the Coursera support center at https://learner.coursera.help/hc/en-us for help. Alex Mannella was a founding member and Partner in PwC’s Information and Analytics Practice and is a seasoned professional on the issues of customer value management (CVM), response modeling, database marketing, and data mining. He has extensive experience in developing response and segmentation algorithms for organizations of varying sizes, database development, and the use of artificial intelligence for data mining studies. Prior to joining PwC, Alex was head of research at Econometrics, Inc.. He was instrumental in the redesign of their national database of more than 180 million records for response modeling, data mining and direct marketing campaigns. In addition, Alex played a key role in the development of the life-stage variable at Econometrics, a variable that is a key component in CRM and market basket analysis. Alex is an active member of the American Statistical Association (Chicago Chapter) and the Chicago Association of Direct Marketing. Alex is a guest lecturer at UCLA, Stanford, ITAM (Mexico), Universidad de los Andes (Colombia), IIM-B, and ISB. In addition, Alex sits on an advisory board at the University of Chicago Graham School.

9.0

Classbaze Grade®

N/A

Freshness

8.8

Popularity

8.8

Material

Platform: Coursera
Video: 5h 17m
Language: English

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