Udemy Statistics with python

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Uploader
freecoursewb
Source
1 1337x
Downloads
18
Type
Tutorials
Language
English
Category
Other
Size
1.8 GB
Added
2025-09-05 19:53 (1 year, 2 months ago)
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Files
  1. Get Bonus Downloads Here.url180 bytes
  2. 1 -Image.jpg?04214830.0 KB
  3. 1 -Intent of Course and What You Will learn.mp47.2 MB
  4. 1 -IntentOfCOurse.pdf591.6 KB
  5. 2 -What is Data Science and Statistics.mp448.7 MB
  6. 3 -Introduction to Python Lybraries - Anaconda and Streamlit use.mp462.9 MB
  7. 3 -tg_ (1).pdf427.3 KB
  8. 4 -EXCERCISE001.csv151 bytes
  9. 4 -Exx001.py1.2 KB
  10. 4 -Import and Read Csv Data in Python Script.mp444.7 MB
  11. 4 -ReadCSvData.mp460.9 MB
  12. 1 -Covariance Theory Explain.mp4173.9 MB
  13. 1 -CovariancePAge.html15.2 KB
  14. 1 -CovariancePAge.pdf545.6 KB
  15. 2 -008.pdf19.2 KB
  16. 2 -Covariance Exercise with Python.mp471.4 MB
  17. 1 -Normal Distribution.mp4243.1 MB
  18. 1 -Normal_.pdf721.5 KB
  19. 2 -Normal Distrubution Excercise.mp467.1 MB
  20. 1 -00252.pdf330.9 KB
  21. 1 -Correlation - Regression and Data Analysis Introduction.mp414.1 MB
  22. 2 -First Exemple.mp414.9 MB
  23. 2 -Introduction.mp489.4 MB
  24. 2 -Principal Theme.pdf64.2 KB
  25. 2 -hyper.pdf226.5 KB
  26. 3 -Correlation coefficients (Pearson, Spearman).mp461.6 MB
  27. 3 -Infographic.pdf638.2 KB
  28. 3 -StreamLitApplication.py5.5 KB
  29. 4 -LinearRegression.pdf640.1 KB
  30. 4 -Linear_REgression_ScratchCode.py4.7 KB
  31. 4 -Simple Linear Regression.mp423.6 MB
  32. 4 -SimpleLinearRegression.pdf728.5 KB
  33. 5 -Hyn.pdf526.4 KB
  34. 5 -Multiple Linear Regression.mp436.4 MB
  35. 6 -Introduction to Logistic Regression (for binary outcomes).mp423.7 MB
  36. 6 -Introduction to Logistic Regression_.pdf396.8 KB
  37. 1 -Basic probability concepts (events, sample space, conditional probability).mp449.1 MB
  38. 2 -Random variables.mp421.8 MB
  39. 3 -Common probability distributions (Bernoulli, Binomial, Poisson, Normal, t-distri.mp445.2 MB
  40. 4 -005.pdf404.9 KB
  41. 4 -Central Limit Theorem.mp436.4 MB
  42. 4 -Infograpfic CentralThoery.pdf494.6 KB
  43. 1 -Hypothesis Testing Fundamentals Concept in Probabilty and Statistics.mp444.3 MB
  44. 2 -Null and alternative hypotheses.mp446.1 MB
  45. 1 -Descriptive Statistics - Basic Introduction.mp413.3 MB
  46. 2 -Types of data (qualitative, quantitative, nominal, ordinal, interval, ratio).mp433.3 MB
  47. 2 -Understandig TypeOfDAta.pdf458.9 KB
  48. 3 -Measures of central tendency (mean, median, mode).mp470.5 MB
  49. 3 -nuovo 150 (1).pdf410.4 KB
  50. 4 -Measures of dispersion (range, variance, standard deviation, IQR).mp434.6 MB
  51. 4 -Measures of dispersion.pdf448.9 KB
  52. 5 -Shape of distributions (skewness, kurtosis).mp421.6 MB
  53. 5 -The Shape of Distributions.pdf343.7 KB
  54. 6 -Data visualization (histograms, box plots, bar charts, scatter plots) - Python.mp420.7 MB
  55. 6 -DataVisualization__.pdf397.2 KB
  56. 1 -Independent samples t-test.mp420.6 MB
  57. 1 -IndipendentTest.pdf484.8 KB
  58. 1 -IndipendtentTest.py2.8 KB
  59. 2 -Paired samples t-test.mp429.9 MB
  60. 2 -PairedTest.pdf504.0 KB
  61. 3 -ANOVA (One-way, Two-way).mp446.3 MB
  62. 3 -Anova_Test.pdf512.4 KB
  63. 3 -Anova_Test_app2.py2.5 KB
  64. 4 -Manning_Whytnnei_Test.py2.7 KB
  65. 4 -Non-parametric tests (Mann-Whitney U, Wilcoxon signed-rank, Kruskal-Wallis).mp437.2 MB
  66. 4 -NonParameticTEst.pdf493.4 KB
  67. 1 -CAtegoriacalDAtaAnalysis.pdf967.9 KB
  68. 1 -Categorical Data Analysis and Chi Test Introduction.mp437.8 MB
  69. 2 -Chi-square test of independence and Chi-square goodness-of-fit test.mp478.9 MB
  70. 2 -ChiQuadro.pdf652.7 KB
  71. 2 -Kitest_.py3.3 KB
  72. 3 -ContigentTAble.pdf440.9 KB
  73. 3 -Contingency tables.mp437.5 MB
  74. 4 -Error estimation in Statistical Data Analysis.mp438.2 MB
  75. 4 -ErrorEstimation.pdf359.9 KB
  76. 4 -StreamLitApp.py2.0 KB
  77. Bonus Resources.txt70 bytes

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