Udemy - Statistics with python

Files:

• Get Bonus Downloads Here.url (0.2 KB)
~Get Your Files Here ! 1 - Introduction to Data and Programming Environments
• 1 -Image.JPG (30.0 KB)
• 1 -Intent of Course and What You Will learn.mp4 (7.2 MB)
• 1 -IntentOfCOurse.pdf (591.6 KB)
• 2 -What is Data Science and Statistics.mp4 (48.7 MB)
• 3 -Introduction to Python Lybraries - Anaconda and Streamlit use.mp4 (62.9 MB)
• 3 -tg_ (1).pdf (427.3 KB)
• 4 -EXCERCISE001.csv (0.1 KB)
• 4 -Exx001.py (1.2 KB)
• 4 -Import and Read Csv Data in Python Script.mp4 (44.7 MB)
• 4 -ReadCSvData.mp4 (60.9 MB)
2 - Covariance - From Theory to Practise
• 1 -Covariance Theory Explain.mp4 (173.9 MB)
• 1 -CovariancePAge.html (15.2 KB)
• 1 -CovariancePAge.pdf (545.6 KB)
• 2 -008.pdf (19.2 KB)
• 2 -Covariance Exercise with Python.mp4 (71.4 MB)
3 - Normal Distribution
• 1 -Normal Distribution.mp4 (243.1 MB)
• 1 -Normal_.pdf (721.5 KB)
• 2 -Normal Distrubution Excercise.mp4 (67.1 MB)
4 - Correlation and Regression Data Analysis
• 1 -00252.pdf (330.9 KB)
• 1 -Correlation - Regression and Data Analysis Introduction.mp4 (14.1 MB)
• 2 -First Exemple.mp4 (14.9 MB)
• 2 -Introduction.mp4 (89.4 MB)
• 2 -Principal Theme.pdf (64.2 KB)
• 2 -hyper.pdf (226.5 KB)
• 3 -Correlation coefficients (Pearson, Spearman).mp4 (61.6 MB)
• 3 -Infographic.pdf (638.2 KB)
• 3 -StreamLitApplication.py (5.5 KB)
• 4 -LinearRegression.pdf (640.1 KB)
• 4 -Linear_REgression_ScratchCode.py (4.7 KB)
• 4 -Simple Linear Regression.mp4 (23.6 MB)
• 4 -SimpleLinearRegression.pdf (728.5 KB)
• 5 -Hyn.pdf (526.4 KB)
• 5 -Multiple Linear Regression.mp4 (36.4 MB)
• 6 -Introduction to Logistic Regression (for binary outcomes).mp4 (23.7 MB)
• 6 -Introduction to Logistic Regression_.pdf (396.8 KB)
5 - Probability and Probability Distributions
• 1 -Basic probability concepts (events, sample space, conditional probability).mp4 (49.1 MB)
• 2 -Random variables.mp4 (21.8 MB)
• 3 -Common probability distributions (Bernoulli, Binomial, Poisson, Normal, t-distri.mp4 (45.2 MB)
• 4 -005.pdf (404.9 KB)
• 4 -Central Limit Theorem.mp4 (36.4 MB)
• 4 -Infograpfic CentralThoery.pdf (494.6 KB)
6 - Hypothesis Testing Fundamentals
• 1 -Hypothesis Testing Fundamentals Concept in Probabilty and Statistics.mp4 (44.3 MB)
• 2 -Null and alternative hypotheses.mp4 (46.1 MB)
7 - Descriptive Statistics
• 1 -Descriptive Statistics - Basic Introduction.mp4 (13.3 MB)
• 2 -Types of data (qualitative, quantitative, nominal, ordinal, interval, ratio).mp4 (33.3 MB)
• 2 -Understandig TypeOfDAta.pdf (458.9 KB)
• 3 -Measures of central tendency (mean, median, mode).mp4 (70.5 MB)
• 3 -nuovo 150 (1).pdf (410.4 KB)
• 4 -Measures of dispersion (range, variance, standard deviation, IQR).mp4 (34.6 MB)
• 4 -Measures of dispersion.pdf (448.9 KB)
• 5 -Shape of distributions (skewness, kurtosis).mp4 (21.6 MB)
• 5 -The Shape of Distributions.pdf (343.7 KB)
• 6 -Data visualization (histograms, box plots, bar charts, scatter plots) - Python.mp4 (20.7 MB)
• 6 -DataVisualization__.pdf (397.2 KB)
8 - Comparing Groups
• 1 -Independent samples t-test.mp4 (20.6 MB)
• 1 -IndipendentTest.pdf (484.8 KB)
• 1 -IndipendtentTest.py (2.8 KB)
• 2 -Paired samples t-test.mp4 (29.9 MB)
• 2 -PairedTest.pdf (504.0 KB)
• 3 -ANOVA (One-way, Two-way).mp4 (46.3 MB)
• 3 -Anova_Test.pdf (512.4 KB)
• 3 -Anova_Test_app2.py (2.5 KB)
• 4 -Manning_Whytnnei_Test.py (2.7 KB)
• 4 -Non-parametric tests (Mann-Whitney U, Wilcoxon signed-rank, Kruskal-Wallis).mp4 (37.2 MB)
• 4 -NonParameticTEst.pdf (493.4 KB)
9 - Categorical Data Analysis
• 1 -CAtegoriacalDAtaAnalysis.pdf (967.9 KB)
• 1 -Categorical Data Analysis and Chi Test Introduction.mp4 (37.8 MB)
• 2 -Chi-square test of independence and Chi-square goodness-of-fit test.mp4 (78.9 MB)
• 2 -ChiQuadro.pdf (652.7 KB)
• 2 -Kitest_.py (3.3 KB)
• 3 -ContigentTAble.pdf (440.9 KB)
• 3 -Contingency tables.mp4 (37.5 MB)
• 4 -Error estimation in Statistical Data Analysis.mp4 (38.2 MB)
• 4 -ErrorEstimation.pdf (359.9 KB)
• 4 -StreamLitApp.py (2.0 KB)
• Bonus Resources.txt (0.1 KB)