Data Analysis with Excel Analysis Package
- 3.4
-
![]()
![]()
![]()
Brief Introduction
Learn simple, fast and effective data analysis methods with the Excel Analysis PackageDescription
In the course students learn or get a reminder about main statistical parameters for data and big data analysis.
Students learn how they can activate the Analysis Package in the Microsoft Excel, and learn and have labs for a lot of functions and methods of this package, such as:
- Simple statistics: average, median, dispersion,
- Correlation: Pearson coefficient, Fisher criteria
- Student criteria, T-functions
- Regressions: linear regression, trends.
Requirements
- Requirements
- Excel basic user
- Basic math knowledge
Danil Dintsis
3.4 Raiting
Data Analysis Essentials Using Excel
- 4.5
-
![]()
![]()
![]()
![]()
![]()
Learn to apply the important concepts and techniques of data analysis using Excel. Ibadullah Khalil - 5 Stars “A great instructor and guide for the course....
MS-Excel Mastery: Data Analysis & Dashboard Reporting
- 0.0
-
![]()
![]()
![]()
![]()
![]()
Get Command Over Your Gold Mine for Decision Making ! That’s Your Data. A Very Unique and Powerful Online Course for Who wants growth in their career?...
Marketing Analytics and Retail Business Management
- 4.4
-
![]()
![]()
![]()
![]()
![]()
Retail analytics using MS Excel - Covering Forecasting, Market Basket, RFM, Customer Valuation & Price Bundling , right? After completing this course you will be able to:...
Data Analytics Foundations for Accountancy I
- 4.3
-
![]()
![]()
![]()
![]()
![]()
Welcome to Data Analytics Foundations for Accountancy I! You’re joining thousands of learners currently enrolled in the course. For technical problems with the Coursera platform, visit the Learner Help Center....
