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Learner Reviews & Feedback for Statistical Analysis Fundamentals using Excel by IBM
61 ratings
About the Course
This course is aimed at familiarizing Data and Business professionals with the basic concepts of statistical analysis and methods used for data-driven decision-making.
After completing this course, you will be able to apply descriptive and inferential analysis methods, use data visualization methods to communicate data, apply concepts of probability in real-life scenarios, and apply regression techniques to predict trends.
The course takes a hands-on approach to statistical analysis using Microsoft Excel and uses examples to illustrate the concepts to help you gain the foundational knowledge of statistical techniques needed to solve business intelligence (BI) problems.
A hands-on project will provide you an opportunity to apply the concepts to a real-life scenario involving data-driven decision-making and an understanding of basic statistical thinking and reasoning.
This course is suitable for professionals or students who aspire to embark on a career in the BI or Data Analytics fields by equipping them with the crucial skills and knowledge in statistical analysis. It is expected that learners be familiar with Excel/spreadsheet basics and high school mathematics prior to starting this course.
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1 - 11 of 11 Reviews for Statistical Analysis Fundamentals using Excel
By Rashmi K S
•Nov 12, 2024
Statistical Analysis Fundamentals using Excel is very useful and need to implement in department level.
By SANJAY K G J
•Aug 30, 2024
Very Informational to gain basic statistical concepts using MS Excel
By N.Raghavendra R
•Oct 31, 2024
Training content is very well explained.
By Koushik D
•Oct 29, 2024
Very good knowledge session.
By Muhammad S
•Sep 8, 2024
Very Nice Course
By Maha A
•Oct 3, 2024
VERY Helpful
By Mahad B U
•Sep 27, 2024
BEST OF DATA
By ABHINAVE A
•Sep 19, 2024
Good course
By Sheikh O
•Oct 4, 2024
It was easy
By Nuria P
•Aug 14, 2024
Very basic explanations
By Oksana M
•Mar 25, 2024
Lots of errors and ambiguity in videos, texts, labs and quizzes of the first part of the course.