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Udemy Statistics with python

Torrent Info
Category Other
Added Friday 5th September 2025 07:53:39 PM (1 year ago)
Size1.8 GB
Peers3 Peers (3 Seeders and 0 leechers) update
Downloaded18 times
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Tags English
Seeders3
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Torrent Files (77)
FilenameSize
Get Bonus Downloads Here.url180 bytes
1 -Image.JPG30.0 KB
1 -Intent of Course and What You Will learn.mp47.2 MB
1 -IntentOfCOurse.pdf591.6 KB
2 -What is Data Science and Statistics.mp448.7 MB
3 -Introduction to Python Lybraries - Anaconda and Streamlit use.mp462.9 MB
3 -tg_ (1).pdf427.3 KB
4 -EXCERCISE001.csv151 bytes
4 -Exx001.py1.2 KB
4 -Import and Read Csv Data in Python Script.mp444.7 MB
4 -ReadCSvData.mp460.9 MB
1 -Covariance Theory Explain.mp4173.9 MB
1 -CovariancePAge.html15.2 KB
1 -CovariancePAge.pdf545.6 KB
2 -008.pdf19.2 KB
2 -Covariance Exercise with Python.mp471.4 MB
1 -Normal Distribution.mp4243.1 MB
1 -Normal_.pdf721.5 KB
2 -Normal Distrubution Excercise.mp467.1 MB
1 -00252.pdf330.9 KB
1 -Correlation - Regression and Data Analysis Introduction.mp414.1 MB
2 -First Exemple.mp414.9 MB
2 -Introduction.mp489.4 MB
2 -Principal Theme.pdf64.2 KB
2 -hyper.pdf226.5 KB
3 -Correlation coefficients (Pearson, Spearman).mp461.6 MB
3 -Infographic.pdf638.2 KB
3 -StreamLitApplication.py5.5 KB
4 -LinearRegression.pdf640.1 KB
4 -Linear_REgression_ScratchCode.py4.7 KB
4 -Simple Linear Regression.mp423.6 MB
4 -SimpleLinearRegression.pdf728.5 KB
5 -Hyn.pdf526.4 KB
5 -Multiple Linear Regression.mp436.4 MB
6 -Introduction to Logistic Regression (for binary outcomes).mp423.7 MB
6 -Introduction to Logistic Regression_.pdf396.8 KB
1 -Basic probability concepts (events, sample space, conditional probability).mp449.1 MB
2 -Random variables.mp421.8 MB
3 -Common probability distributions (Bernoulli, Binomial, Poisson, Normal, t-distri.mp445.2 MB
4 -005.pdf404.9 KB
4 -Central Limit Theorem.mp436.4 MB
4 -Infograpfic CentralThoery.pdf494.6 KB
1 -Hypothesis Testing Fundamentals Concept in Probabilty and Statistics.mp444.3 MB
2 -Null and alternative hypotheses.mp446.1 MB
1 -Descriptive Statistics - Basic Introduction.mp413.3 MB
2 -Types of data (qualitative, quantitative, nominal, ordinal, interval, ratio).mp433.3 MB
2 -Understandig TypeOfDAta.pdf458.9 KB
3 -Measures of central tendency (mean, median, mode).mp470.5 MB
3 -nuovo 150 (1).pdf410.4 KB
4 -Measures of dispersion (range, variance, standard deviation, IQR).mp434.6 MB
4 -Measures of dispersion.pdf448.9 KB
5 -Shape of distributions (skewness, kurtosis).mp421.6 MB
5 -The Shape of Distributions.pdf343.7 KB
6 -Data visualization (histograms, box plots, bar charts, scatter plots) - Python.mp420.7 MB
6 -DataVisualization__.pdf397.2 KB
1 -Independent samples t-test.mp420.6 MB
1 -IndipendentTest.pdf484.8 KB
1 -IndipendtentTest.py2.8 KB
2 -Paired samples t-test.mp429.9 MB
2 -PairedTest.pdf504.0 KB
3 -ANOVA (One-way, Two-way).mp446.3 MB
3 -Anova_Test.pdf512.4 KB
3 -Anova_Test_app2.py2.5 KB
4 -Manning_Whytnnei_Test.py2.7 KB
4 -Non-parametric tests (Mann-Whitney U, Wilcoxon signed-rank, Kruskal-Wallis).mp437.2 MB
4 -NonParameticTEst.pdf493.4 KB
1 -CAtegoriacalDAtaAnalysis.pdf967.9 KB
1 -Categorical Data Analysis and Chi Test Introduction.mp437.8 MB
2 -Chi-square test of independence and Chi-square goodness-of-fit test.mp478.9 MB
2 -ChiQuadro.pdf652.7 KB
2 -Kitest_.py3.3 KB
3 -ContigentTAble.pdf440.9 KB
3 -Contingency tables.mp437.5 MB
4 -Error estimation in Statistical Data Analysis.mp438.2 MB
4 -ErrorEstimation.pdf359.9 KB
4 -StreamLitApp.py2.0 KB
Bonus Resources.txt70 bytes
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