Statistics Made Simple with Microsoft Excel and SPSS: Visualize, Analyze, Decide
Description
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Statistics
In an increasingly data-driven world, the ability to understand and apply statistical concepts is essential across disciplines—from science and business to social research and policy-making. This course, offers a comprehensive and accessible journey through the core principles and applications of statistics.
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Designed for learners at all levels, the course begins with foundational topics such as organizing and visualizing data, and gradually progresses to more advanced concepts including hypothesis testing, regression analysis, and chi-square tests. Each module is structured to build both conceptual understanding and practical skills, ensuring that students can confidently interpret data and make informed decisions.
Through engaging lectures, real-world examples, and hands-on exercises, students will explore key statistical tools such as frequency tables, histograms, measures of central tendency and variation, probability rules, discrete and binomial distributions, the Empirical Rule, confidence intervals, and hypothesis testing for both single and two-sample scenarios. The course culminates in exploring relationships between variables using correlation, regression, and chi-square tests.
Whether you’re a student preparing for exams, a professional seeking to enhance your analytical capabilities, or a curious learner aiming to understand how data shapes the world, this course provides a solid foundation in statistical reasoning. No advanced math background is required—just a basic understanding of algebra and a willingness to learn.
By the end of the course, students will be equipped to apply statistical thinking in academic, professional, and everyday contexts, making data-driven decisions with clarity and confidence.
SPSS
Learn about the popular statistical application SPSS from IBM. This course provides a concise overview of how you can use SPSS to explore and analyze your data for actionable insights.
Why Take This Course?
Learn at your own pace with lifetime access
Apply statistical thinking to academic, professional, and everyday problems
Build a strong foundation for further studies in data science, machine learning, or research
Gain confidence in interpreting data and making data-driven decisions
| Total Students | 1003 |
|---|---|
| Duration | 12.5 hours |
| Language | English (US) |
| Original Price | |
| Sale Price | 0 |
| Number of lectures | 55 |
| Number of quizzes | 0 |
| Total Reviews | 0 |
| Global Rating | 0 |
| Instructor Name | Science Academy |
Course Insights (for Students)
Actionable, non-generic pointers before you enroll
Student Satisfaction
78% positive recent sentiment
Momentum
Steady interest
Time & Value
- Est. time: 12.5 hours
- Practical value: 5/10
Roadmap Fit
- Beginner → → Advanced
Key Takeaways for Learners
- Hands-on practice
- Real-world examples
- Project-based learning
Course Review Summary
Signals distilled from the latest Udemy reviews
What learners praise
Clear explanations and helpful examples.
Watch-outs
No consistent issues reported.
Difficulty
Best suited for
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