Statistics for Data Analysis Using Excel (Accredited)
Why take this course?
🚀 Start Your Data Analysis Journey with Statistics for Data Analysis Using Excel 2016!
👨🏫 Course Instructor: Sandeep Kumar from Quality Gurus Inc.
📊 Course Title: Statistics for Data Analysis Using Excel 2016
🎉 Unlock the World of Data with MS Excel!
Course Headline:
Plain & Simple Lessons on Descriptive & Inferential Statistics Theory With Excel Examples for Business & Six Sigma
📈 Dive into the Fascinating Realm of Statistics: Learn and apply statistical concepts with practical examples, tailored for real-world applications in business and Six Sigma. This course is designed to demystify the theory of statistics and show you how to perform complex analyses using Microsoft Excel.
Course Overview:
Statistics and Data Analysis are integral parts of modern data-driven decision making. In this course, we'll cover a range of statistical topics, including:
Descriptive Statistics: Understand the basics like Mean, Mode, Median, Quartile, Range, Inter Quartile Range, and Standard Deviation.
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Data Visualization: Master the art of visual storytelling with 3 commonly used charts: Histogram, Box and Whisker Plot, and Scatter Plot.
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Probability: Get a grip on Basic Concepts, Permutations, Combinations, and their applications.
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Population and Sampling: Learn about the importance of understanding population versus sampling in making data-driven decisions.
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Probability Distributions: Explore Normal, Binomial, and Poisson Distributions.
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Hypothesis Testing: From One Sample to Two Samples tests like z Test, t-Test, p Test, F Test, and Chi-Square Test.
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ANOVA (Analysis of Variance): Perform ANOVA calculations both manually and using MS Excel.
🌟 What Our Students Are Saying:
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"Very structured and clear lessons on how each Excel function can be used for different statistical analysis. I have benefited tremendously from attending this course." - Kang Han Qi (5 stars ⭐⭐⭐⭐)
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"I have learned a lot already and it is still a long way to go! The synergy between theory and practical use is fantastic." - Dennis Dominic Mendoza (5 stars ⭐⭐⭐⭐)
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"Great course, great synergy between theory and practical used. Understanding statistical concepts has never been this easy!" - Patrick Silangit (5 stars ⭐⭐⭐⭐)
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"He's better than all my university lecturers... Very clear, concise and seamless progression of the evolution of concepts in a systematic way." - Ayanda Peter (5 stars ⭐⭐⭐⭐)
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"A well-planned curriculum with fantastic resources for downloads, professionally presented slides. This course is truly the best for every financial analyst." - Arumugam K Chandrasekar (5 stars ⭐⭐⭐⭐)
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"I am a fan of his teachings... It is recommended to every other person who is not confident in Statistics and wants to be a pro." - Apnatav Bhatia (5 stars ⭐⭐⭐⭐)
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"Its more than my expectations, absolutely wonderful since it starts with the basics." - Boikaego Raditlatla (5 stars ⭐⭐⭐⭐)
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"The self study step by step and the Excel examples are very great. I can follow the course and practice on my computer alongside." - Dr Stanley Adjabeng (5 stars ⭐⭐⭐⭐)
🎓 Enroll Now & Transform Your Data Analysis Skills!
This course comes with Udemy's 30-day money-back guarantee. If you are not satisfied with the course, get your money back—no questions asked.
Don't miss this opportunity to master statistics and data analysis using Excel. Join hundreds of students who have already taken their skills to the next level.
📆 Take the Next Step in Your Career Today!
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Comidoc Review
Our Verdict
Descriptive and Inferential Statistics Theory with Excel Examples for Business/Six Sigma is a well-structured course that enables students to grasp statistical concepts with ease using Microsoft Excel. This accredited Udemy offering shines in its professional presentation and clear explanations of complex topics such as central tendency, variation, ANOVA, hypothesis testing, z-test, p-test, f-test, t-test, Chi-Square test, correlation, regression, and more. However, a slower pace, strong accent, and the absence of problem-solving opportunities might pose challenges to certain learners. With over 25,000 subscribers and an impressive global rating of 4.59, this course is undoubtedly a valuable resource for business professionals, economics students, Six Sigma practitioners, and data analysts seeking to bolster their analytical skills.
What We Liked
- Comprehensive coverage of statistical methods and Excel formulas for data analysis
- Well-planned content with straightforward explanations, especially for complex topics like probability and hypothesis testing
- Incremental course structure allows for easy understanding, enhanced by suited examples and clear display of Excel formulas
- Complementary to economics studies and advanced learners seeking refreshers or new insights in data analysis
Potential Drawbacks
- Slow pace may discourage some students, although Udemy's playback speed feature can mitigate this issue
- Strong accent of the instructor might cause comprehension challenges for some learners
- Lacks hands-on exercises and problem-solving opportunities beyond theoretical explanation and Excel demonstrations
- Minor discrepancies in examples may confuse first-time learners; additional caution is required when following along