DATAtab
Multicolinarity - An Easy and Clear Beginner’s Guide
5:50
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Wilcoxon Test (Wilcoxon signed rank test) Simply explained
8:00
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Best Data Science YouTube Channels - Your Recommendations
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What are Dummy Variables in Regression?
5:23
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Statistics - A Full Lecture to learn Data Science (2025 Version)
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Best YouTube Channels to learn Statistics
5:45
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Regression Analysis | Full Course 2025
1:09:13
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Logistic Regression - Simply explained in 2 min
2:00
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Regression Analysis - Linear, Multiple and Logistic Regression
2:09
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Logistic Regression: An Easy and Clear Beginner’s Guide
21:31
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Hierarchical Cluster Analysis - Simply Explained
2:39
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Multiple Linear Regression: An Easy and Clear Beginner’s Guide
26:01
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Mann–Whitney U test
1:37
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Spearman's rank correlation coefficient
2:41
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Pearson correlation coefficient #Statistics #DataScience #DataAnalysis
2:58
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Simple Linear Regression: An Easy and Clear Beginner’s Guide
13:55
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Regression Analysis: An Easy and Clear Beginner’s Guide
7:31
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Mastering Odds Ratios in Logistic Regression – A Step-by-Step Guide
12:10
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The New Statistics: A Modern Approach to Data Analysis
20:35
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Learn Correlation Analysis Fast – 90% of What You Need in Under 11 Minutes
10:50
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ANOVA - A Full Lecture to learn Analysis of Variance
56:49
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Confidence Interval: The right and wrong way to understand them.
10:56
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Types of Data in Statistics - Nominal, Ordinal, Interval, and Ratio
13:01
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One-Way-ANOVA #maths #pvalue #statistics #datascience #dataanalysis #research #thesis #stats
0:39
![One-Way ANOVA [Analysis of Variance] simply explained](/vi/mOdYddj5IG8/hqdefault.jpg?sqp=-oaymwEjCNACELwBSFryq4qpAxUIARUAAAAAGAElAADIQj0AgKJDeAE=&rs=AOn4CLBmUXZ6tVRSYyFsIuSk1KiZghpnaQ)
DATAtab
One-Way ANOVA [Analysis of Variance] simply explained
14:14
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DATAtab
80% of Regression Analysis Basics in under 18 Minutes [Simple, Multiple and Logistic Regression]
17:03
DATAtab
When not to use the t-test! 3 Scenarios Where the T-Test Fails...
11:29
DATAtab
Control Charts simply explained - Statistical process control - Xbar-R Chart, I-MR Chart,...
11:04
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Why the p-Value fell from Grace: A Deep Dive into Statistical Significance
20:08
DATAtab
Statistics - A Full Lecture to learn Data Science
4:15:27
DATAtab
Levels of Measurement - Nominal, Ordinal, Interval and Ratio
12:42
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Repeated Measures ANOVA (Analysis of Variance) - Simply explained
14:13
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z-Score, z-Standardization, Standard Normal Distribution, z-Distribution Table - Simply explained
14:08
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What is the difference between parametric and nonparametric hypothesis testing?
7:22
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What is Descriptive Statistics? A Beginner's Guide to Descriptive Statistics!
9:58
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What is a hypothesis test? A beginner's guide to hypothesis testing!
8:07
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What is Statistics? A Beginner's Guide to Statistics (Data Analytics)!
20:21
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Fractional Factorial Design (DoE) Simply explained
12:54
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Between-Subject Design vs. Within-Subject Design
8:27
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Mixed Model ANOVA (Analysis of Variance) Simply explained
11:32
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Full Factorial Design (DoE - Design of Experiments) Simply explained
14:23
DATAtab
Design of Experiments (DoE) simply explained
25:53
DATAtab
Simple linear Regression, Multiple linear Regression and Logistic Regression - Regression Analysis
8:14
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What is inferential statistics? Explained in 6 simple Steps.
7:45
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Two-Way ANOVA - all Equations - calculated by Hand
8:06
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Standard Deviation, Variance, Range and Interquartile Range - Measures of dispersion
3:10
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Mean, Median and Mode - Measures of Central Tendency
3:25
![Descriptive Statistics [Simply explained]](/vi/FzujIYo9GYo/hqdefault.jpg?sqp=-oaymwEjCNACELwBSFryq4qpAxUIARUAAAAAGAElAADIQj0AgKJDeAE=&rs=AOn4CLCsrMXn294XpFKZmLGSByt3A5PjGQ)
DATAtab
Descriptive Statistics [Simply explained]
11:10
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How to calculate a Chi-Square Test?
8:01
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DATAtab
What is a Raincloud Plot? [Simply explained]
3:19
![Violin Plot [Simply explained]](/vi/Rw00VmP--qk/hqdefault.jpg?sqp=-oaymwEjCNACELwBSFryq4qpAxUIARUAAAAAGAElAADIQj0AgKJDeAE=&rs=AOn4CLBPOIohg_XeBwnFYt5kXMEt3Zfutg)
DATAtab
Violin Plot [Simply explained]
3:45
![Bland-Altman Plot [Simply explained]](/vi/hHsfn7jE79M/hqdefault.jpg?sqp=-oaymwEjCNACELwBSFryq4qpAxUIARUAAAAAGAElAADIQj0AgKJDeAE=&rs=AOn4CLDVdh38Nq3RsN5wGXL8OlJ3cAN9BQ)
DATAtab
Bland-Altman Plot [Simply explained]
5:35
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What are the assumptions of a Two-Way ANOVA?
1:07
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What are the hypotheses of the t-test (Null & alternative hypothesis)?
1:20
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Two-Way ANOVA - Full Course
16:21
DATAtab
Kendall's Tau 3/3
1:00
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Kendall's Tau 2/3
0:59
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Kendall's Tau 1/3
1:00
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How to report an Paired Samples t-Test?
5:37
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How to report an Independent Samples t-Test?
5:18
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How to report a Wilcoxon signed rank test?
4:49
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How to report a Mann-Whitney U Test?
3:29
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Correlation Analysis - Full Course in 30 min
27:00
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One sample t-test vs Independent t-test vs Paired t-test
7:17
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t-Test - Full Course - Everything you need to know
16:14
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Hierarchical Cluster Analysis #shorts
0:22
DATAtab
Causality (and the difference to correlation) Part 4/4 #shorts #dataanalysis #datascience #datatab
1:00
DATAtab
Causality (and the difference to correlation) Part 3/4 #shorts #dataanalysis #datascience #datatab
0:59
![Levene's test [Test for variance equality]](/vi/x51GDTiPIfI/hqdefault.jpg?sqp=-oaymwEjCNACELwBSFryq4qpAxUIARUAAAAAGAElAADIQj0AgKJDeAE=&rs=AOn4CLB-SFytr6kKf5D4eyLYd4YOk_liSQ)
DATAtab
Levene's test [Test for variance equality]
4:08
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Causality (and the difference to correlation) Part 2/4 #shorts #dataanalysis #datascience #datatab
0:54
DATAtab
Causality (and the difference to correlation) Part 1/4 #shorts #dataanalysis #datascience #datatab
0:49
DATAtab
Causality (and the difference to correlation) simply explained
4:01
![Kendall's Tau [Easily explained]](/vi/Pm8KV5f3JM0/hqdefault.jpg?sqp=-oaymwEjCNACELwBSFryq4qpAxUIARUAAAAAGAElAADIQj0AgKJDeAE=&rs=AOn4CLDmoMGkxGJWb8xe7uohz1IZy2wi9g)
DATAtab
Kendall's Tau [Easily explained]
6:32
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Standard Deviation Part 4/4 #shorts
0:54
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Standard Deviation Part 3/4 #shorts
1:00
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Standard Deviation Part 2/4 #shorts
0:54
DATAtab
Standard Deviation Part 1/4 #shorts
0:58
DATAtab
Standard Deviation and Variance
5:50
![Point-biserial Correlation [Simply explained]](/vi/-nmPEsYzaWo/hqdefault.jpg?sqp=-oaymwEjCNACELwBSFryq4qpAxUIARUAAAAAGAElAADIQj0AgKJDeAE=&rs=AOn4CLDwpXYQG9P0A1vlbkH8JuxobM7moQ)
DATAtab
Point-biserial Correlation [Simply explained]
6:30
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Spearman Rank Correlation
1:00
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DATAtab
Spearman Rank Correlation [Simply explained]
5:41
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ROC Curve and AUC Value
7:17
![Pearson correlation [in 60 sec.] #shorts](/vi/Kw_SVHZBVRA/hqdefault.jpg?sqp=-oaymwE9CNACELwBSFryq4qpAy8IARUAAAAAGAElAADIQj0AgKJDeAHwAQH4AbYIgAL-DooCDAgAEAEYViBlKGUwDw==&rs=AOn4CLD-GSpRgWDqvecl0eyfVB08wQefuQ)
DATAtab
Pearson correlation [in 60 sec.] #shorts
1:00
![Pearson correlation [Simply explained]](/vi/k7IctLRiZmo/hqdefault.jpg?sqp=-oaymwEjCNACELwBSFryq4qpAxUIARUAAAAAGAElAADIQj0AgKJDeAE=&rs=AOn4CLDa_p8Cs8lUo3Rp47c5QuO42v0Etw)
DATAtab
Pearson correlation [Simply explained]
7:50
![Mann-Whitney U Test [in 60 sec.] #shorts](/vi/KfxEYEXXK_U/hqdefault.jpg?sqp=-oaymwE9CNACELwBSFryq4qpAy8IARUAAAAAGAElAADIQj0AgKJDeAHwAQH4AbYIgAL-DooCDAgAEAEYUCBlKGUwDw==&rs=AOn4CLCWanzKSOsYooB8_nwZszMbQdmaKw)
DATAtab
Mann-Whitney U Test [in 60 sec.] #shorts
1:00
![Mann-Whitney U Test [Simply explained]](/vi/LcxB56PzylA/hqdefault.jpg?sqp=-oaymwEjCNACELwBSFryq4qpAxUIARUAAAAAGAElAADIQj0AgKJDeAE=&rs=AOn4CLDIPnV2-UraaiXnzE2-Wr8b1iaKzA)
DATAtab
Mann-Whitney U Test [Simply explained]
8:20
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DATAtab
Simple Linear Regression vs. Multiple Linear Regression [in 60 sec.] #shorts
0:57
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DATAtab
t-test for dependent samples [in 60 sec.] #shorts
0:56
![Regression Analysis [in 60 sec.] #shorts](/vi/nT7Gomq0m3Q/hqdefault.jpg?sqp=-oaymwE9CNACELwBSFryq4qpAy8IARUAAAAAGAElAADIQj0AgKJDeAHwAQH4AbYIgAL-DooCDAgAEAEYUyBlKGUwDw==&rs=AOn4CLA-228-mb4lMt8t72H9XRM0Wm4zvw)
DATAtab
Regression Analysis [in 60 sec.] #shorts
0:59
![Boxplot [in 60 sec.] #shorts](/vi/xkzsxmZfpZw/hqdefault.jpg?sqp=-oaymwE9CNACELwBSFryq4qpAy8IARUAAAAAGAElAADIQj0AgKJDeAHwAQH4AbYIgAL-DooCDAgAEAEYSyBlKGUwDw==&rs=AOn4CLCrhu3dgr68kQ0-zhpVuVhtAwo2tg)
DATAtab
Boxplot [in 60 sec.] #shorts
0:58
![Hierarchical Cluster Analysis [in 60 sec.] #shorts](/vi/W9j5pAIYbQQ/hqdefault.jpg?sqp=-oaymwE9CNACELwBSFryq4qpAy8IARUAAAAAGAElAADIQj0AgKJDeAHwAQH4AbYIgAL-DooCDAgAEAEYVSBlKGUwDw==&rs=AOn4CLB3OUNmLndyWMllhwMB0mPPfl-IZA)
DATAtab
Hierarchical Cluster Analysis [in 60 sec.] #shorts
0:53
![Hierarchical Cluster Analysis [Simply explained]](/vi/8QCBl-xdeZI/hqdefault.jpg?sqp=-oaymwEjCNACELwBSFryq4qpAxUIARUAAAAAGAElAADIQj0AgKJDeAE=&rs=AOn4CLBy7y13MuQzPJaqu6xUe1oFRIA8HQ)
DATAtab
Hierarchical Cluster Analysis [Simply explained]
8:22
![Linear Regression vs. Logistic Regression [in 60 sec.] #shorts](/vi/FLmfPbP0Bac/hqdefault.jpg?sqp=-oaymwE9CNACELwBSFryq4qpAy8IARUAAAAAGAElAADIQj0AgKJDeAHwAQH4AbYIgAL-DooCDAgAEAEYZSBlKGUwDw==&rs=AOn4CLDlI4VXJGHfTpUrBqeP9Yrm82LOyA)
DATAtab
Linear Regression vs. Logistic Regression [in 60 sec.] #shorts
1:00
![Chi-Squared Test [in 60 sec.] #shorts](/vi/fUG-KvCzFWU/hqdefault.jpg?sqp=-oaymwE9CNACELwBSFryq4qpAy8IARUAAAAAGAElAADIQj0AgKJDeAHwAQH4AbYIgAL-DooCDAgAEAEYYyBjKGMwDw==&rs=AOn4CLAgK7VYUfs--jAoPYzxCnTNEIqEYw)
DATAtab
Chi-Squared Test [in 60 sec.] #shorts
1:00
![Logistic Regression [Simply explained]](/vi/C5268D9t9Ak/hqdefault.jpg?sqp=-oaymwEjCNACELwBSFryq4qpAxUIARUAAAAAGAElAADIQj0AgKJDeAE=&rs=AOn4CLCSb8Mb8GHFmZnlFm2xzHAY2oLSIg)
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Logistic Regression [Simply explained]
14:22
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Chi2 test - easily explained with an example
10:11
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p-value - easily explained with an example
8:11
![Hypothesis [Research Hypothesis simply explained]](/vi/G4LPPS-8Co0/hqdefault.jpg?sqp=-oaymwEjCNACELwBSFryq4qpAxUIARUAAAAAGAElAADIQj0AgKJDeAE=&rs=AOn4CLDuqQPq7pGPiSRyohLIsYfX3cBjMA)
DATAtab
Hypothesis [Research Hypothesis simply explained]
6:36
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DATAtab
Literature research [Systematic Literature Research - State of Research - Research Hypotheses]
9:29
![Research Topic, Research Problem & Central Research Question [How to find and formulate]](/vi/b6HFvA_-v84/hqdefault.jpg?sqp=-oaymwEjCNACELwBSFryq4qpAxUIARUAAAAAGAElAADIQj0AgKJDeAE=&rs=AOn4CLDLVy6outJea_BGw4hdndtr5J9KhQ)
DATAtab
Research Topic, Research Problem & Central Research Question [How to find and formulate]
9:24