“Mastering Data Analysis and Making Informed Decisions with Statistical Hypothesis Testing in Data Science”.
Description
Welcome to “Statistics and Hypothesis Testing for Data Science” – a comprehensive Udemy course that will empower you with the essential statistical knowledge and data analysis skills needed for success in the world of data science.
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Here’s what you’ll learn:
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Delve into the world of data-driven insights and discover how statistics plays a pivotal role in shaping our understanding of information.
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Equip yourself with the essential Python skills required for effective data manipulation and visualization.
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Learn to categorize data, setting the stage for meaningful analysis.
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Discover how to summarize data with measures like mean, median, and mode.
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Explore the variability in data using concepts like range, variance, and standard deviation.
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Understand relationships between variables with correlation and covariance.
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Grasp the shape and distribution of data using techniques like quartiles and percentiles.
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Learn to standardize data and calculate z-scores.
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Dive into probability theory and its practical applications.
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Lay the foundation for probability calculations with set theory.
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Explore the probability of events under certain conditions.
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Uncover the power of Bayesian probability in real-world scenarios.
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Solve complex counting problems with ease.
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Understand the concept of random variables and their role in probability.
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Explore various probability distributions and their applications.
This course will empower you with the knowledge and skills needed to analyze data effectively, make informed decisions, and apply statistical methods in a data science context. Whether you’re a beginner or looking to deepen your statistical expertise, this course is your gateway to mastering statistics for data science. Enroll now and start your Journey!
Total Students | 32263 |
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Duration | 4.5 hours |
Language | English (US) |
Original Price | |
Sale Price | 0 |
Number of lectures | 31 |
Number of quizzes | 5 |
Total Reviews | 526 |
Global Rating | 4.227778 |
Instructor Name | Meritshot Academy |
Course Insights (for Students)
Actionable, non-generic pointers before you enroll
Student Satisfaction
86% positive recent sentiment
Momentum
🚀 Surging this month
Time & Value
- Est. time: 4.5 hours
- Practical value: 8/10
Roadmap Fit
- Beginner → Beginner → Advanced
Key Takeaways for Learners
- Hands-on practice
- Real-world examples
- Project-based learning
- Hands On
- Clear Explanation
Course Review Summary
Signals distilled from the latest Udemy reviews
What learners praise
- Hands On
- Clear Explanation
- Examples
- Step By Step
- Practical
Watch-outs
- Theory only
- Too fast
- Missing project
Difficulty
Best suited for
New learners starting from zero, Doers who prefer project-led learning, Learners who like theory + frameworks
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