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[ DevCourseWeb com ] Udemy - Analysis From the Start to The End
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1. About the trainer
1. Dahman's Phi Services- initiative.mp4
2. The Story of- The Big Bang of Data Science Project.mp4
3. Introduction to- The Big Bang of Data Science- First Edition.mp4
4. Introduction to- The Big Bang of Data Science- Second Edition.mp4
10. What is Next
1. It's not goodbye but keep in touch!.html
2. Congratulations! and next if you aim for it!.mp4
2. Introduction to this course
1. Why this course, and its competitive advantages.mp4
2. The main contents- in form of chapters.mp4
3. Screencast covers all the recorded lectures.mp4
4. The PDF lecture slides.html
3. Chapter One- Introduction
1. Research Map & relevance to analysis.mp4
2. Threats to conclusion validity.mp4
3. Statistical power.mp4
4. Improve conclusion validity.mp4
5. Analysis framework.mp4
4. Chapter Two- Data Preparation
1. Logging the data.mp4
2. Data accuracy control.mp4
3. Database structure.mp4
4. Entering data to computer.mp4
5. Data preparation.mp4
6. LAB-01- Data preparation- PART ONE.mp4
7. LAB-01- Data preparation- PART TWO.mp4
8. LAB-01- Data preparation- PART THREE.mp4
5. Chapter three- Descriptive Analysis
1. Introduction to EDA.mp4
10. Central Tendency- Recap.mp4
11. Dispersion- introduction.mp4
12. Dispersion- Range.mp4
13. Dispersion- interquartile.mp4
14. Dispersion- Variance & Standard Deviation.mp4
15. Bivariate Analysis- PART ONE.mp4
16. Bivariate Analysis- PART TWO.mp4
17. Bivariate Analysis- PART THREE.mp4
18. Bivariate Analysis- PART FOUR.mp4
19. Bivariate Analysis- PART FIVE.mp4
2. Distribution- Introduction.mp4
20. Bivariate Analysis- PART SIX.mp4
21. Bivariate Analysis- PART SEVEN.mp4
22. Bivariate Analysis- PART EIGHT.mp4
23. Multivariate Analysis- Review.mp4
24. LAB-02- Analysis; univariate, bivariate and multivariate.mp4
3. Distribution- Mass type.mp4
4. Distribution- Density type.mp4
5. Central Tendency- Introduction.mp4
6. Central Tendency- Mean.mp4
7. Central Tendency- Median.mp4
8. Central Tendency- Mode.mp4
9. Central Tendency- Proportion.mp4
6. Chapter Four- Inferential Analysis
1. Introduction to Inferential analysis.mp4
2. Estimating parameters- Point estimate.mp4
3. Estimating Parameters- Interval estimate.mp4
4. hypothesis testing- Introduction.mp4
5. hypothesis testing- factors for selection tests- PART ONE.mp4
6. hypothesis testing- factors for selection tests- PART TWO.mp4
7. Chapter Five- Statistical Software
1. Statistical software Introduction.mp4
2. Introduction to Jamovi statistical tool.mp4
3. LAB-03- analysis on synthetical dataset ONE using Jamovi- PART ONE.mp4
4. LAB-03- analysis on synthetical dataset ONE using Jamovi- PART TWO.mp4
5. LAB-03- analysis on synthetical dataset TWO using Jamovi- PART TWO.mp4
8. Chapter Six- LAB-04- Real Project Analysis with Jamovi
1. LAB-04- Overview.mp4
2. LAB-04- Implementation part one.mp4
3. LAB-04- Implementation part two.mp4
4. LAB-04- Implementation part three.mp4
5. LAB-04- Implementation part four.mp4
6. LAB-04- Implementation part five.mp4
9. Chapter Seve- Closing and Next vision
1. Research & Analysis- Review and Vision of Prediction.mp4
2. References.html
Bonus Resources.txt
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