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Udemy - Analysis From the Start to The End

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Udemy - Analysis From the Start to The End (Size: 3.9 GB)
  1. Dahman's Phi Services- initiative.mp4 132.1 MB
  1. Introduction to EDA.mp4 54.8 MB
  1. Introduction to Inferential analysis.mp4 43.5 MB
  1. It's not goodbye but keep in touch!.html 1.6 KB
  1. LAB-04- Overview.mp4 67.5 MB
  1. Logging the data.mp4 24.4 MB
  1. Research & Analysis- Review and Vision of Prediction.mp4 68.6 MB
  1. Research Map & relevance to analysis.mp4 43.9 MB
  1. Statistical software Introduction.mp4 37.1 MB
  1. Why this course, and its competitive advantages.mp4 150.5 MB
  10. Central Tendency- Recap.mp4 19.4 MB
  11. Dispersion- introduction.mp4 14.7 MB
  12. Dispersion- Range.mp4 21.8 MB
  13. Dispersion- interquartile.mp4 50.6 MB
  14. Dispersion- Variance & Standard Deviation.mp4 33.1 MB
  15. Bivariate Analysis- PART ONE.mp4 38.7 MB
  16. Bivariate Analysis- PART TWO.mp4 8.9 MB
  17. Bivariate Analysis- PART THREE.mp4 10.7 MB
  18. Bivariate Analysis- PART FOUR.mp4 103.7 MB
  19. Bivariate Analysis- PART FIVE.mp4 69.8 MB
  2. Congratulations! and next if you aim for it!.mp4 7.5 MB
  2. Data accuracy control.mp4 14 MB
  2. Distribution- Introduction.mp4 19.3 MB
  2. Estimating parameters- Point estimate.mp4 10.3 MB
  2. Introduction to Jamovi statistical tool.mp4 45.7 MB
  2. LAB-04- Implementation part one.mp4 66.7 MB
  2. References.html 819.2 B
  2. The Story of- The Big Bang of Data Science Project.mp4 189.8 MB
  2. The main contents- in form of chapters.mp4 111.3 MB
  2. Threats to conclusion validity.mp4 34.9 MB
  20. Bivariate Analysis- PART SIX.mp4 68.2 MB
  21. Bivariate Analysis- PART SEVEN.mp4 45.7 MB
  22. Bivariate Analysis- PART EIGHT.mp4 30.1 MB
  23. Multivariate Analysis- Review.mp4 34.3 MB
  24. LAB-02- Analysis; univariate, bivariate and multivariate.mp4 57.7 MB
  3. Database structure.mp4 17.7 MB
  3. Distribution- Mass type.mp4 18.5 MB
  3. Estimating Parameters- Interval estimate.mp4 19.8 MB
  3. Introduction to- The Big Bang of Data Science- First Edition.mp4 348.3 MB
  3. LAB-03- analysis on synthetical dataset ONE using Jamovi- PART ONE.mp4 116.9 MB
  3. LAB-04- Implementation part two.mp4 62.2 MB
  3. Screencast covers all the recorded lectures.mp4 164.2 MB
  3. Statistical power.mp4 77.9 MB
  4. Distribution- Density type.mp4 28.2 MB
  4. Entering data to computer.mp4 13.8 MB
  4. Improve conclusion validity.mp4 32.9 MB
  4. Introduction to- The Big Bang of Data Science- Second Edition.mp4 93 MB
  4. LAB-03- analysis on synthetical dataset ONE using Jamovi- PART TWO.mp4 140.2 MB
  4. LAB-04- Implementation part three.mp4 88.9 MB
  4. The PDF lecture slides.html 409.6 B
  4. hypothesis testing- Introduction.mp4 50.1 MB
  5. Analysis framework.mp4 72.3 MB
  5. Central Tendency- Introduction.mp4 13.9 MB
  5. Data preparation.mp4 9.3 MB
  5. LAB-03- analysis on synthetical dataset TWO using Jamovi- PART TWO.mp4 145.1 MB
  5. LAB-04- Implementation part four.mp4 71.2 MB
  5. hypothesis testing- factors for selection tests- PART ONE.mp4 54.2 MB
  6. Central Tendency- Mean.mp4 31.6 MB
  6. LAB-01- Data preparation- PART ONE.mp4 21.2 MB
  6. LAB-04- Implementation part five.mp4 89 MB
  6. hypothesis testing- factors for selection tests- PART TWO.mp4 169.5 MB
  7. Central Tendency- Median.mp4 44.3 MB
  7. LAB-01- Data preparation- PART TWO.mp4 95.2 MB
  8. Central Tendency- Mode.mp4 30.4 MB
  8. LAB-01- Data preparation- PART THREE.mp4 98.7 MB
  9. Central Tendency- Proportion.mp4 15 MB
  Bonus Resources.txt 409.6 B
  Get Bonus Downloads Here.url 204.8 B
  ▲ 68 total files

Description


Analysis From the Start to The End

https://DevCourseWeb.com

Published 3/2024
Created by Dr. Deniz Dahman's
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 66 Lectures ( 7h 8m ) | Size: 3.86 GB

part of the Big Bang of Data Science

What you'll learn:
Research map & the relevance to analysis
Threats to conclusion validity
Fundamentals of statistical powers
Improvement of conclusion validity
Map of analysis Framework
Data preparation: logging, accuracy control, structure, and transformation
LAB-01: Data Preparation; all the steps you need to prepare your data from research perspective
Fundamentals of EDA
Mass, and Density distributions
Central tendency: mean, median, mode, and proportion
Dispersion: rang, interquartile, variance, and standard deviation
Univariate, Bivariate, and Multivariate analysis- process
LAB-02: analysis using univariate, bivariate and multivariate techniques
Inferential Analysis: estimating parameters, and hypothesis testing
Statistical tests: t-test, Chi square, Pearson's, F-test, ANOVA, MANOVA, and many more
Intro to open-source statistical software Jamovi
LAB-03: implementation of all the outlines using Jamovi on synthetical datasets
LAB-04: implementation of all the outlines using Jamovi on real dataset

Requirements:
No specific experience needed. ONLY, your motivation to outcome a product that is good, successful, and intelligent
STRONGLY RECOMMENDED: the completion of the first book- Research from the Start to the End.

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