Главная
Study mode:
on
1
STATISTICS FOR DATA SCIENCE EP:01 What is Statistics | data science | Statistics | English tutorial
2
STATISTICS FOR DATA SCIENCE EP:02 Mean, Median, Mode | data science | Statistics | English tutorial
3
STATISTICS FOR DATA SCIENCE EP:03 Sample And Population | data science | Statistics|English tutorial
4
Statistics for Data Science EP:04 Population Variance | data science | Statistics | English tutorial
5
Statistics for Data Science EP:05 Sample Variance | data science | Statistics | English tutorial
6
Statistics for Data Science EP:06 Standard Deviation | data science | Statistics | English tutorial
7
Statistics for Data Science EP:07 Alternate Variance formula | data science | Statistics | English
8
Statistics for Data Science EP:08 Random Variable | types | data science | Statistics | English
9
Statistics for Data Science EP:09 Probability density function | types | data science | Statistics |
10
Statistics for Data Science EP:10 Questions on Probability density function| data science|Statistics
11
Statistics for Data Science EP:11 Binomial Distribution Function | data science | Statistics
12
Statistics for Data Science EP:12 Normal Distribution and Z-scores | data science | Statistics
13
Statistics for Data Science EP:13 Question on Z-scores | data science | Statistics | English videos
14
Statistics for Data Science EP:14 Basic plots | stem-leaf plot | Bar plot | leaf plot | Data Science
15
Statistics for Data Science EP:15 Histogram | Statistics in english | Data Science |
16
Statistics for Data Science EP:16 Boxplot | Statistics in english | Data Science |
17
Statistics for Data Science EP:17 Quartiles and Percentiles | Outlier in data | Data Science |
18
Statistics for Data Science EP:18 Question on mean and Sample Standard Deviation | Data Science |
19
Statistics for Data Science EP:19 Question on Continuous Density Function | Data Science |
20
Statistics for Data Science EP:20 Question on Continuous Density Function part 2 | Data Science
21
Statistics for Data Science EP:21 Question on percentiles and probability Part 01 | Data Science
22
Statistics for Data Science EP:22 Question on percentiles and probability Part 02 | Data Science
23
Statistics for Data Science EP:23 Question on percentiles and probability Part 01 | Data Science
24
Statistics for Data Science EP:24 Question on percentiles and probability Part 02 | Data Science
25
Statistics for Data Science EP:25 Central Limit theorem for sample mean | data science
26
Statistics for Data Science EP:26 Question on Central Limit theorem for sample mean | data science
27
Statistics for Data Science EP:27 Central Limit theorem for Sums | data science
28
Statistics for Data Science EP:28 Question on Central Limit theorem for Sums | data science
29
Statistics for Data Science EP:29 Law of large numbers with question for Sums | data science
30
Statistics for Data Science EP:30 Question on uniform distribution | Data Science
31
Statistics for Data Science EP:31 Question on central limit theorem | Data Science | Statistics
32
Statistics for Data Science EP:32 Part -2How to solve question on central limit theorem|Data Science
33
Statistics for Data Science EP:33 Confidence Intervals |Data Science | Statistics for data science
34
Statistics for Data Science EP:34 Confidence Level |margin of error| question on confidence interval
35
Statistics for Data Science EP:35 Procedure for calculating Confidence Interval | inferential stats
36
Statistics for Data Science EP:36 | Finding Z for the standard confidence interval|inferential stats
37
Statistics for Data Science EP:37 | Calculating the EBM | Constructing the graph |inferential stats
38
Statistics for Data Science EP:38 | Question on the confidence interval | |inferential stats
39
Statistics for Data Science EP:39 | Changing the confidence level | inferential statistics
40
Statistics for Data Science EP:40 | Changing the sample size | inferential statistics | data science
41
Statistics for Data Science EP:41 | Working backwards for finding EB and sample mean | data science
42
Statistics for Data Science EP:42 | Calculating sample size n | inferential statistics| data science
43
Statistics for Data Science EP:43 | Student's-t distribution | inferential statistics| data science
44
Statistics for Data Science EP:44|Student's-t distribution(cont)|inferential statistics|data science
45
Statistics for Data Science EP:45|question Student's-t distribution | statistics | data science
46
Statistics for Data Science EP:46 | confidence interval for population proportion | data science
47
Statistics for Data Science EP:47|confidence interval for population proportion (cont.)|data science
48
Statistics for Data Science EP:48 | Question on confidence interval for population proportion
49
Statistics for Data Science EP:49 | Question-02 on confidence interval for population proportion
50
Statistics for Data Science EP:50 | Finding sample size n | data science | inferential statistics
51
Statistics for Data Science EP:51 | Summary of confidence interval inferential statistics
52
Statistics for Data Science EP:52 | hypothesis testing | data science | statistics
53
Statistics for Data Science EP:53 | null hypothesis and alternate hypothesis | data science
54
Statistics for Data Science EP:54 | example and comparison on null and alternate hypothesis
55
Statistics for Data Science EP:55 | Outcomes Type I and Type II errors | data science | statistics
56
Statistics for Data Science EP:56 | Examples of Type I and Type II errors | data science |statistics
57
Statistics for Data Science EP:57 | Distribution needed for hypothesis testing | data science
58
Statistics for Data Science EP:57 | Distribution needed for hypothesis testing and Assumptions |
59
Statistics for Data Science EP:59 | Assumptions in hypothesis testing | statistics for data science
60
Statistics for Data Science EP:60 | Rare events in hypothesis testing | statistics for data science
61
Statistics for Data Science EP:61 | Decision and conclusion | statistics for data science
62
Statistics for Data Science EP:62 | Summary of formulas | statistics for data science
63
Statistics for Data Science EP:63 | Comparing two independent population mean | statistics
64
Statistics for Data Science EP:64 | test score and degrees of freedom | statistics
65
Statistics for Data Science EP:66 |Comparing two independent population means | statistics
66
Statistics for Data Science EP:67 | Question on independent groups and population known | statistics
67
Statistics for Data Science EP:68 | Question on comparing two independent population mean|statistics
68
Statistics for Data Science EP:69 | Question on comparing two independent population mean (cont.)
69
Statistics for Data Science EP:70 | Matched or paired samples | statistics | data science mathmatics
70
Statistics for Data Science EP:72 | Question on Matched or paired samples | statistics |data science
71
Statistics for Data Science EP:73 | Recap of sampling and it's techniques | statistics |data science
72
Statistics for Data Science EP:74 | Important keyterms to remember | statistics |data science
73
Statistics for Data Science EP:75 | Recap of levels of measurement | statistics |data science
74
Statistics for Data Science EP:76 | Variation in data | statistics |data science
75
Statistics for Data Science EP:77 | Question on independent groups | statistics |data science
76
Statistics for Data Science EP:78 | Quick recap of types of data | statistics |data science
77
Statistics for Data Science EP:79 | Question on different samples | statistics |data science
78
Statistics for Data Science EP:80 | Example on null Hypothesis | statistics |data science
79
Statistics for Data Science EP:81 | Chi Square test and notation | statistics |data science
80
Statistics for Data Science EP:82 | Features in chi square test | statistics |data science
81
Statistics for Data Science EP:83 | Goodness of fit test | statistics |data science
82
Statistics for Data Science EP:84 | Goodness of fit test part b | statistics |data science
83
Statistics for Data Science EP:85 | Test of Independence | statistics |data science
84
Statistics for Data Science EP:86 | Chi-square test | statistics |data science
85
Statistics for Data Science EP:87 | Independence and homogenity | statistics |data science
86
Statistics for Data Science EP:88 | Test of a single variance | statistics |data science
87
Statistics for Data Science EP:89 | Summary of Chi square test | statistics |data science
88
Statistics for Data Science EP:90 | Summary of principle of homogenity | statistics |data science
89
Statistics for Data Science EP:91 | Linear regression and correlation | statistics |data science
90
Statistics for Data Science EP:92 | F distribution and one way anova | statistics |data science
91
Statistics for Data Science EP:93 | assumptions for one way anova | statistics |data science
92
Statistics for Data Science EP:94 | null and alternate hypothesis | statistics |data science
93
Statistics for Data Science EP:95 | alternate hypothesis | statistics |data science
94
Statistics for Data Science EP:96 | F-distribution and F - ratio | statistics |data science
95
Statistics for Data Science EP:97 | Calculating F-ratio | statistics |data science
96
Statistics for Data Science EP:98 | Important points F-ratio | statistics |data science
97
Statistics for Data Science EP:99 | Calculation of sum of squares and mean| statistics |data science
98
Statistics for Data Science EP:100 | Calculation of sum of squares and mean (cont) | data science
99
Statistics for Data Science EP:101 | Facts about One way Anova | data science
100
Statistics for Data Science EP:102 | F-ratio or F-statistics | data science | statistics
101
Statistics for Data Science EP:103 | Notation of F-ratio or F-statistics | data science | statistics
102
Statistics for Data Science EP:104 | Test of two variance | data science | statistics
103
Statistics for Data Science EP:105 | Example of Test of two variance | data science | statistics
104
Statistics for Data Science EP:106 | More about Test of two variance | data science | statistics
105
Statistics for Data Science EP:107 | Summary of test of two variance | data science | statistics
106
Statistics for Data Science EP:108 |Valid condition for linear regression | data science | statistic
107
Statistics for Data Science EP:109 |Recap of Chi SquareTest| data science | statistic
108
Statistics for Data Science EP:110 | Approach for a statistical analysis | data science | statistic
109
Statistics for Data Science EP:111 | Approach for a statistical analysis 2 data science | statistic
Description:
Explore a comprehensive video playlist covering essential statistics topics for data science in English. Learn about fundamental concepts including mean, median, mode, variance, standard deviation, probability distributions, hypothesis testing, and advanced topics like ANOVA and linear regression. Gain practical knowledge through numerous examples, practice questions, and real-world applications. Progress from basic statistical concepts to more complex analytical techniques used in data science, enhancing your ability to interpret and analyze data effectively.

Statistics for Data Science

FUN WITH DATA SCIENCE
Add to list
#Mathematics #Statistics & Probability #Data Science #Data Analysis #Data Visualization #Probability #Hypothesis Testing #Central Limit Theorem #Confidence Intervals #Descriptive Statistics #Inferential Statistics
0:00 / 0:00
1 of 109

STATISTICS FOR DATA SCIENCE EP:01 What is Statistics | data science | Statistics | English tutorial