
Learn statistics for data analysis with fun, real-world Excel demos: probability, hypothesis testing, regression & more!
Microsoft Excel: Essential Statistics for Data Analysis
InstructorMaven Analytics • 1,500,000 Learners
Learn statistics for data analysis with fun, real-world Excel demos: probability, hypothesis testing, regression & more!
InstructorMaven Analytics • 1,500,000 Learners
Free





Editorial course preview
These 3 complementary views highlight concrete, legible examples from the course presentation.
This Excel navigation dashboard organizes statistical topics into four color-coded sections with clickable links to assignments and specific concepts like distributions and hypothesis tests.
This course outline slide details six key statistical concepts including descriptive statistics, probability distributions, the central limit theorem, confidence intervals, and hypothesis tests.
This assignment slide outlines a simple linear regression task involving correlation analysis, scatterplot creation, and model building based on an email scenario.
Learning is driven by five distinct Maven-branded projects covering diverse sectors such as medical, pharma, and aviation.
Instruction directly connects statistical theory to specific spreadsheet functions like NORM.S.DIST and CONFIDENCE.NORM.
One signal from a pre-update review suggests difficulty distinguishing between population and sample parameters; the current update label does not prove this ambiguity has been addressed.
One signal from a pre-update review notes a desire for more in-depth explanation around regression; the current update label does not prove this depth has been added.
Selected from the course's public promotional preview. These images document visible presentation material only; they do not represent the complete paid curriculum.
The curriculum aligns well with the stated goal of providing a beginner-friendly introduction using Excel.