دورة تحليل ذكاء الأعمال

دورة تعليمية تشمل تعلم مهارات تحليل ذكاء الأعمال ومقدمة في علم البيانات والإحصاءات وقواعد البيانات وتصور البيانات

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15 طالب ملتحق

آخر تحديث : 24/01/2022

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محتوى الدورة

1. المقدمة00:04:33
2. Intr to Data DataScience00:06:28
3. AnalysisVsAnalytics00:07:11
4. Data Concepts00:05:10
5. BI00:06:49
6. Data for BI00:03:18
7. Traditional Data00:09:01
8. Big Data00:04:08
9. Real Example Big Data00:01:51
10. BI Tasks00:02:46
11. Technical Viewpoint00:08:50
12. BI امثلة حقيقية00:02:30
13. Traditional Method00:05:32
14. Traditional Method Examples00:02:00
15. Machine Learning00:05:17
16. ML Types00:03:51
17. ML real life examples00:02:32
18. Tools Software00:04:33
19. DS Jobs Position00:02:59
20. common misconceptions00:03:26
21. Sample Population00:04:14
22. Data Types00:05:28
23. classification levels of measurement00:06:10
24. Graphs Tables00:05:17
25. Numerical Variables00:03:21
26. Numerical data Represnt00:03:37
27. Measures of central00:02:52
28. Skewness00:02:41
29. measures of variability00:07:35
30. Covariance00:05:31
31. Correlation coefficient00:03:09
32. Inferential Statistics00:05:24
33. The Normal Distribution00:02:46
34. Central Limit Theorem00:03:00
35. standard error00:02:19
36. Estimator00:03:15
37. Confidence Intervals00:04:55
38. Confidence IntervalsPopulationVariance Knownz score00:07:39
39. Confidence interval clarifications00:04:08
40. Confidence IntervalsPopulationVariance Unknown t score00:05:11
41. Margin of Error00:02:25
42. Confidence intervalsTwo meansindependent dependent samples00:09:53
43. The Null vs Alternative Hypothesis00:06:56
44. Rejection Region and SignificanceLevel00:05:20
45. types of errors00:02:11
46. Test for the Mean00:03:44
47. P value00:02:25
48. Test for the Mean00:03:20
49. Test the mean00:03:41
50. Test for the mean00:03:40
51. why use SQL00:04:31
52. why use MySQL00:03:16
53. Introduce database00:09:15
54. database termonolgy00:07:55
55. The Concept of Relational Schemas00:08:21
56. Relationships Between Tables00:04:46
57. Install Mysql00:10:58
58. شرح مبسط لوجهة البرنامج00:04:52
59. loading database00:02:09
60. SELECT00:03:33
61. WHERE00:04:02
62. WHERE00:02:34
63. OR00:06:07
64. IN00:06:17
65. LIKE00:08:52
66. BETWEEN00:07:05
67. NULL00:03:05
68. Other Comparisons00:06:22
69. SELECT DISTINCT00:02:42
70. COUNT00:04:18
71. ORDER BY00:05:44
72. GROUP BY00:06:31
73. HAVING00:10:23
74. LIMIT00:08:13
75. Summraised function COUNT00:03:52
76. Summraized function SUM00:03:24
77. Summraized function MAXMIN00:03:21
78. Summraized function AVGROUND00:04:23
79. JOINS00:02:10
80. INNER JOINS00:10:51
81. LEFT JOINS00:11:42
82. RIGHT JOIN00:04:29
83. old and new join syntax00:11:24
84. CROSS JOIN00:12:01
85. JOIN more than one table00:09:14
86. tips join00:09:51
87. The Differences Between UNIONand UNION ALL00:08:59
88. SQL Subqueries with INEmbedded Inside WHERE00:06:39
89. SQL Subqueries with EXISTS NOTEXISTS Embedded Inside WHERE00:04:56
90. Example SQL00:03:32
91. Create Stored Procedures withMySQL Syntax00:08:23
92. Run Procedures00:02:26
93. Creating a Procedure in MySQLAnother Way00:05:02
94. Create Stored Procedures with anInput Parameter00:10:54
95. Create Stored Procedures with anOutput Parameter00:04:22
96. SQL Variables00:04:01
97. The Benefit of User DefinedFunctions in MySQL00:08:01
98. The SQL CASE Statement00:08:20
99. Tableau Download00:03:47
100. Connecting Data in Tableau00:06:28
101. Let s Create our first Chart00:07:29
102. Creating a Table00:04:09
103. Creating Custom Fields00:02:11
104. Creating Custom Fields00:02:45
105. Adding Totals Subtotals Percent00:06:27
106. Inserting a Filter00:02:09
107. JOINS for tableau00:03:13
108. Using Joins in Tableau00:07:32
109. Performing a Numbers00:05:41
110. Blindung Data00:04:56
111. Perormnig a numbers by blinding00:04:27
112. Charts 00:07:32
113. Chart 00:07:05
114. Creating Dashboard00:04:16
115. Adding Interactive Filters00:02:43
116. Software Intgration00:05:40
117. Problem 100:05:42
118. Problem 1 SQL Solution00:07:20
119. SQL + Tableau Visulaization00:14:25
120. Problem 200:10:08
121. Problem 2 Solution00:07:57
122. Problem 300:04:35
123. Problem 3 Solution + Tableau00:06:13
124. Problem 400:05:24
125. Problem 4 Solution + Tableau00:05:21
126. Organizing Charts 1 4 into a Beautiful Dashboard00:07:55
127. What is Programming00:05:29
128. Why Python00:03:52
129. Install Anaconda00:06:00
130. Variables00:03:20
131. TypeandBolean00:03:09
132. Strings00:04:49
133. The Arithmetic Operators00:04:05
134. What is the Double Equality00:01:50
135. Important Notes00:04:34
136. Indexing and Indented00:05:30
137. Comparison and Logical Operators00:08:06
138. IF Statments00:06:13
139. IF and elif00:05:59
140. Functions00:06:24
141. Function in Function00:04:58
142. Function with If statment00:05:31
143. Built in Function00:05:56
144. List in Python00:07:17
145. List Slicing and index00:04:46
146. Sort method00:03:30
147. Tuples00:03:42
148. Function and Tuples00:02:18
149. Dictionary00:05:21
150. get method00:02:03
151. Loop in Python00:05:10
152. Range and if statments with loop00:04:51
153. Example00:03:38
154. Iterration in Dictionary00:04:55
155. Import module00:04:36
156. Object Oriented Programming00:07:05
157. Software Integration00:06:48
158. Software Integration00:04:16
159. The exercise00:02:54
160. Import Data set00:08:06
161. Dropping Variables00:05:06
162. Exploring the Data Set00:05:08
163. A Deeper Look at the00:06:05
164. Splitting a Variable into00:07:40
165. Dummies Variables00:07:41
166. Grouping Dummy Variables00:13:11
167. Cocatenate Columns00:05:07
168. Order Columns and Greate Checkpoit00:04:50
169. Date column00:07:30
170. Extract Month and Days00:06:44
171. types of columns00:02:21
172. Education Column process00:05:45
173. How to use module in python00:06:46
174. Using module methods00:03:33
175. Creating Database00:05:21
176. install pymysql00:02:44
177. Connecting between Mysql and Jupyter00:04:45
178. commit connection00:12:23
179. Summary of inserting data frame to Mysql00:04:24
180. Age vs Probability00:11:55
181. Reasons vs Probability00:07:07
182. Transportaion vs Children00:04:56

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