Statistics for Data Analysis Using Excel (Accredited)
What you will learn
Fully Updated for 2025! New videos, 2 real-life projects, and 140+ quiz questions added. Dive in and upgrade your stats skills now!
Master the essentials of descriptive and inferential statistics through straightforward and practical examples, making complex concepts easy to grasp.
Harness the power of Microsoft Excel to perform a wide range of statistical calculations, eliminating the need to remember long and complex formulas.
Gain a solid foundation in statistics, from basic principles to advanced applications, enabling you to solve business problems efficiently using Excel.
Transform vast amounts of data into meaningful insights, empowering you to make informed, fact-based decisions that drive business success.
Develop proficiency in Excel, to perform and streamline your data analysis tasks without the need for advanced software like Minitab, R, or Python.
Visualize your data effectively by creating and interpreting histograms, box plots, and scatter plots, to communicate your findings clearly and effectively.
Enhance your career prospects by gaining practical skills in data analysis using Excel, a highly valued competence in today's data-driven business environment.
Boost your confidence in handling statistical analysis, making you a valuable asset to your organization and opening up opportunities for professional growth.
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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