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27 Data Qualitative and Quantitative Uni Bi Multivariate {إحصاء بالعربى والبايثون}

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Lessons List | 37 Lesson
Statistics by Python Introduction {إحصاء بالعربى والبايثون}
00:04:08

Statistics by Python Introduction {إحصاء بالعربى والبايثون}
01 Sample Mean {إحصاء بالعربى والبايثون}
00:04:56

01 Sample Mean {إحصاء بالعربى والبايثون}
02 Sample Mean Implementation {إحصاء بالعربى والبايثون}
00:14:37

02 Sample Mean Implementation {إحصاء بالعربى والبايثون}
03 Population weighted categorical {إحصاء بالعربى والبايثون}
00:08:12

03 Population weighted categorical {إحصاء بالعربى والبايثون}
04 Median {إحصاء بالعربى والبايثون}
00:09:39

04 Median {إحصاء بالعربى والبايثون}
05 Median Implementation {إحصاء بالعربى والبايثون}
00:08:47

05 Median Implementation {إحصاء بالعربى والبايثون}
06 Mode {إحصاء بالعربى والبايثون}
00:03:58

06 Mode {إحصاء بالعربى والبايثون}
07 Mode Implementation {إحصاء بالعربى والبايثون}
00:07:07

07 Mode Implementation {إحصاء بالعربى والبايثون}
08 Variance and Standard Deviation {إحصاء بالعربى والبايثون}
00:06:13

08 Variance and Standard Deviation {إحصاء بالعربى والبايثون}
09 Standard deviation Implementation {إحصاء بالعربى والبايثون}
00:08:58

09 Standard deviation Implementation {إحصاء بالعربى والبايثون}
10 Range Quartiles and Boxplot {إحصاء بالعربى والبايثون}
00:09:00

10 Range Quartiles and Boxplot {إحصاء بالعربى والبايثون}
11 Quartiles and Boxplot Implementation {إحصاء بالعربى والبايثون}
00:06:19

11 Quartiles and Boxplot Implementation {إحصاء بالعربى والبايثون}
12 Frequency Distribution and Histogram {إحصاء بالعربى والبايثون}
00:04:10

12 Frequency Distribution and Histogram {إحصاء بالعربى والبايثون}
13 Histogram Implementation {إحصاء بالعربى والبايثون}
00:07:18

13 Histogram Implementation {إحصاء بالعربى والبايثون}
14 Correction {إحصاء بالعربى والبايثون}
00:01:17

14 Correction {إحصاء بالعربى والبايثون}
15 Cumulative Frequency Distribution {إحصاء بالعربى والبايثون}
00:03:41

15 Cumulative Frequency Distribution {إحصاء بالعربى والبايثون}
16 Density Cumulative Frequency Distribution {إحصاء بالعربى والبايثون}
00:02:20

16 Density Cumulative Frequency Distribution {إحصاء بالعربى والبايثون}
17 Frequency Distribution Uniform Distribution {إحصاء بالعربى والبايثون}
00:08:45

17 Frequency Distribution Uniform Distribution {إحصاء بالعربى والبايثون}
18 Frequency Distribution Normal Distribution {إحصاء بالعربى والبايثون}
00:06:01

18 Frequency Distribution Normal Distribution {إحصاء بالعربى والبايثون}
19 Normal Distribution Implementation {إحصاء بالعربى والبايثون}
00:05:25

19 Normal Distribution Implementation {إحصاء بالعربى والبايثون}
20 Normal Distribution CDF standard {إحصاء بالعربى والبايثون}
00:10:37

20 Normal Distribution CDF standard {إحصاء بالعربى والبايثون}
21 Standard Normal Distribution Implementation {إحصاء بالعربى والبايثون}
00:14:01

21 Standard Normal Distribution Implementation {إحصاء بالعربى والبايثون}
22 Standard Normal Dist Implementation continue {إحصاء بالعربى والبايثون}
00:03:16

22 Standard Normal Dist Implementation continue {إحصاء بالعربى والبايثون}
Numpy Introduction {بايثون بالعربى}
00:10:03

Numpy Introduction {بايثون بالعربى}
Numpy Create ndarray {بايثون بالعربى}
00:08:41

Numpy Create ndarray {بايثون بالعربى}
Numpy Indexing and Slicing {بايثون بالعربى}
00:09:41

Numpy Indexing and Slicing {بايثون بالعربى}
Numpy Indexing and Slicing Implementation {بايثون بالعربى}
00:11:24

Numpy Indexing and Slicing Implementation {بايثون بالعربى}
Numpy Element Wise Operators and Broadcasting {بايثون بالعربى}
00:07:08

Numpy Element Wise Operators and Broadcasting {بايثون بالعربى}
Numpy Element Wise Operators and Broadcasting Implementation {بايثون بالعربى}
00:04:50

Numpy Element Wise Operators and Broadcasting Implementation {بايثون بالعربى}
Numpy for Statistics {بايثون بالعربى}
00:05:26

Numpy for Statistics {بايثون بالعربى}
23 Skewness as Symmetry measure {إحصاء بالعربى والبايثون}
00:07:41

23 Skewness as Symmetry measure {إحصاء بالعربى والبايثون}
24 Kurtosis as tailedness measure {إحصاء بالعربى والبايثون}
00:08:25

24 Kurtosis as tailedness measure {إحصاء بالعربى والبايثون}
25 Outliers abnormal values {إحصاء بالعربى والبايثون}
00:06:00

25 Outliers abnormal values {إحصاء بالعربى والبايثون}
26 Statistics recap Numpy Skewness Kurtosis Outliers {إحصاء بالعربى والبايثون}
00:15:47

26 Statistics recap Numpy Skewness Kurtosis Outliers {إحصاء بالعربى والبايثون}
27 Data Qualitative and Quantitative Uni Bi Multivariate {إحصاء بالعربى والبايثون}
00:08:56

27 Data Qualitative and Quantitative Uni Bi Multivariate {إحصاء بالعربى والبايثون}
28 Quantitative Data Association Correlation {إحصاء بالبايثون والعربى}
00:09:18

28 Quantitative Data Association Correlation {إحصاء بالبايثون والعربى}
29 Qualitative data Description ContingencyTable and Association Odds Ratio إحصاء بالعربى
00:06:51

29 Qualitative data Description ContingencyTable and Association Odds Ratio إحصاء بالعربى

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Course Description

Python's statistics is a built-in Python library for descriptive statistics. You can use it if your datasets are not too large or if you can't rely on importing other libraries. NumPy is a third-party library for numerical computing, optimized for working with single- and multi-dimensional arrays .
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