Udemy - Statistics for Data Science - A Comprehensive Journey
- Category Other
- Type Tutorials
- Language English
- Total size 1.4 GB
- Uploaded By freecoursewb
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Infohash : 6780C71F27A7B2516A8637A9FBCFB2DBD8AEB238
Statistics for Data Science: A Comprehensive Journey
https://WebToolTip.com
Published 1/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 4h 25m | Size: 1.4 GB
Building the Foundation of Statistical Knowledge for Data-Driven Insights
What you'll learn
Understand key statistical concepts like probability, distributions, and hypothesis testing for effective data-driven decisions.
Apply descriptive and inferential statistics to summarize data, draw conclusions, and make predictions.
Use statistical models like regression to analyze data, identifying patterns, relationships, and trends.
Evaluate data quality and apply statistical reasoning to solve data science problems and make informed decisions.
Requirements
Basic Mathematics - Familiarity with high school-level math, including algebra and basic arithmetic operations.
Foundational Data Concepts - Understanding of data types (e.g., categorical, numerical) and basic data handling in spreadsheets or simple programming environments.
Introductory Programming Knowledge - Basic experience in Python or R is helpful, as some examples and exercises may involve code.
Logical Thinking - Ability to analyze problems and approach them systematically, which is essential for statistical reasoning.
Files:
[ WebToolTip.com ] Udemy - Statistics for Data Science - A Comprehensive Journey- Get Bonus Downloads Here.url (0.2 KB) ~Get Your Files Here ! 1 - Introduction to the course
- 1. Agenda.mp4 (9.0 MB)
- 2. Sample and Population.mp4 (6.8 MB)
- 3. Sampling Techniques.mp4 (12.4 MB)
- 4. Descriptive Statistics.mp4 (5.1 MB)
- 5. Descriptive Statistical Measures Computation.mp4 (26.4 MB)
- 6. Data Distribution.mp4 (11.3 MB)
- 7. Descriptive Statistics Real Time Example Water Quality pH Parameter.mp4 (16.4 MB)
- 10. Probability Event Types Mutual Exclusive and Independent.mp4 (22.7 MB)
- 11. Probability Types Marginal Joint and Conditional.mp4 (24.8 MB)
- 12. Marginal Joint and Conditional Probability Solved Examples.mp4 (35.7 MB)
- 13. Bay’s Theorem.mp4 (40.8 MB)
- 14. Bays Theorem Solved Problem.mp4 (25.7 MB)
- 15. Bays Theorem Solved Problem.mp4 (25.9 MB)
- 16. Bays Theorem Solved Problem.mp4 (33.6 MB)
- 8. What is Probability.mp4 (20.8 MB)
- 9. Probability Solved Examples.mp4 (15.1 MB)
- 17. Random Variable.mp4 (32.6 MB)
- 18. Discrete Random Variable Solved Example.mp4 (26.9 MB)
- 19. Continuous Random Variable.mp4 (66.2 MB)
- 20. Continuous Random Variable Solved Example.mp4 (25.9 MB)
- 21. Probability Distributions.mp4 (58.7 MB)
- 22. Binomial Distribution.mp4 (52.0 MB)
- 23. Binomial Distribution Solved Problem.mp4 (32.3 MB)
- 24. Uniform Distribution.mp4 (19.7 MB)
- 25. Uniform Distribution Solved Example.mp4 (18.9 MB)
- 26. Normal Distribution.mp4 (10.2 MB)
- 27. Why Normal Distribution Understanding is important in Data Science.html (3.7 KB)
- 28. Properties of Normal Distribution and Examples.mp4 (71.1 MB)
- 29. Standard Normal Distribution with example.mp4 (44.0 MB)
- 30. Understanding What is a Hypothesis Testing is all about.mp4 (49.5 MB)
- 31. Terms in Hypothesis Testing.mp4 (8.1 MB)
- 32. Steps for Hypothesis Testing.mp4 (4.0 MB)
- 33. Understanding Hypothesis Testing While Solving a Problem.mp4 (56.2 MB)
- 34. Summarize the Hypothesis Testing.mp4 (6.3 MB)
- 35. Introduction.mp4 (12.8 MB)
- 36. What is Variance.mp4 (47.9 MB)
- 37. Meaning of Statistically Significant.mp4 (47.2 MB)
- 38. t tests using an example.mp4 (106.7 MB)
- 39. Perform t test on sample data using excel.mp4 (122.8 MB)
- 40. ANOVA.mp4 (65.5 MB)
- 41. One Way ANOVA Example.mp4 (120.5 MB)
- Bonus Resources.txt (0.1 KB)
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