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1. المقدمة00:04:33
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2. Intr to Data DataScience00:06:28
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3. AnalysisVsAnalytics00:07:11
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4. Data Concepts00:05:10
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5. BI00:06:49
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6. Data for BI00:03:18
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7. Traditional Data00:09:01
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8. Big Data00:04:08
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9. Real Example Big Data00:01:51
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10. BI Tasks00:02:46
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11. Technical Viewpoint00:08:50
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12. BI امثلة حقيقية00:02:30
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13. Traditional Method00:05:32
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14. Traditional Method Examples00:02:00
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15. Machine Learning00:05:17
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16. ML Types00:03:51
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17. ML real life examples00:02:32
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18. Tools Software00:04:33
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19. DS Jobs Position00:02:59
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20. common misconceptions00:03:26
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21. Sample Population00:04:14
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22. Data Types00:05:28
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23. classification levels of measurement00:06:10
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24. Graphs Tables00:05:17
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25. Numerical Variables00:03:21
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26. Numerical data Represnt00:03:37
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27. Measures of central00:02:52
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28. Skewness00:02:41
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29. measures of variability00:07:35
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30. Covariance00:05:31
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31. Correlation coefficient00:03:09
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32. Inferential Statistics00:05:24
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33. The Normal Distribution00:02:46
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34. Central Limit Theorem00:03:00
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35. standard error00:02:19
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36. Estimator00:03:15
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37. Confidence Intervals00:04:55
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38. Confidence IntervalsPopulationVariance Knownz score00:07:39
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39. Confidence interval clarifications00:04:08
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40. Confidence IntervalsPopulationVariance Unknown t score00:05:11
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41. Margin of Error00:02:25
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42. Confidence intervalsTwo meansindependent dependent samples00:09:53
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43. The Null vs Alternative Hypothesis00:06:56
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44. Rejection Region and SignificanceLevel00:05:20
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45. types of errors00:02:11
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46. Test for the Mean00:03:44
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47. P value00:02:25
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48. Test for the Mean00:03:20
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49. Test the mean00:03:41
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50. Test for the mean00:03:40
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51. why use SQL00:04:31
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52. why use MySQL00:03:16
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53. Introduce database00:09:15
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54. database termonolgy00:07:55
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55. The Concept of Relational Schemas00:08:21
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56. Relationships Between Tables00:04:46
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57. Install Mysql00:10:58
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58. شرح مبسط لوجهة البرنامج00:04:52
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59. loading database00:02:09
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60. SELECT00:03:33
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61. WHERE00:04:02
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62. WHERE00:02:34
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63. OR00:06:07
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64. IN00:06:17
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65. LIKE00:08:52
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66. BETWEEN00:07:05
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67. NULL00:03:05
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68. Other Comparisons00:06:22
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69. SELECT DISTINCT00:02:42
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70. COUNT00:04:18
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71. ORDER BY00:05:44
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72. GROUP BY00:06:31
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73. HAVING00:10:23
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74. LIMIT00:08:13
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75. Summraised function COUNT00:03:52
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76. Summraized function SUM00:03:24
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77. Summraized function MAXMIN00:03:21
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78. Summraized function AVGROUND00:04:23
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79. JOINS00:02:10
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80. INNER JOINS00:10:51
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81. LEFT JOINS00:11:42
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82. RIGHT JOIN00:04:29
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83. old and new join syntax00:11:24
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84. CROSS JOIN00:12:01
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85. JOIN more than one table00:09:14
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86. tips join00:09:51
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87. The Differences Between UNIONand UNION ALL00:08:59
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88. SQL Subqueries with INEmbedded Inside WHERE00:06:39
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89. SQL Subqueries with EXISTS NOTEXISTS Embedded Inside WHERE00:04:56
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90. Example SQL00:03:32
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91. Create Stored Procedures withMySQL Syntax00:08:23
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92. Run Procedures00:02:26
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93. Creating a Procedure in MySQLAnother Way00:05:02
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94. Create Stored Procedures with anInput Parameter00:10:54
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95. Create Stored Procedures with anOutput Parameter00:04:22
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96. SQL Variables00:04:01
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97. The Benefit of User DefinedFunctions in MySQL00:08:01
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98. The SQL CASE Statement00:08:20
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99. Tableau Download00:03:47
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100. Connecting Data in Tableau00:06:28
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101. Let s Create our first Chart00:07:29
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102. Creating a Table00:04:09
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103. Creating Custom Fields00:02:11
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104. Creating Custom Fields00:02:45
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105. Adding Totals Subtotals Percent00:06:27
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106. Inserting a Filter00:02:09
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107. JOINS for tableau00:03:13
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108. Using Joins in Tableau00:07:32
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109. Performing a Numbers00:05:41
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110. Blindung Data00:04:56
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111. Perormnig a numbers by blinding00:04:27
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112. Charts 00:07:32
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113. Chart 00:07:05
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114. Creating Dashboard00:04:16
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115. Adding Interactive Filters00:02:43
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116. Software Intgration00:05:40
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117. Problem 100:05:42
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118. Problem 1 SQL Solution00:07:20
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119. SQL + Tableau Visulaization00:14:25
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120. Problem 200:10:08
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121. Problem 2 Solution00:07:57
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122. Problem 300:04:35
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123. Problem 3 Solution + Tableau00:06:13
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124. Problem 400:05:24
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125. Problem 4 Solution + Tableau00:05:21
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126. Organizing Charts 1 4 into a Beautiful Dashboard00:07:55
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127. What is Programming00:05:29
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128. Why Python00:03:52
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129. Install Anaconda00:06:00
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130. Variables00:03:20
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131. TypeandBolean00:03:09
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132. Strings00:04:49
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133. The Arithmetic Operators00:04:05
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134. What is the Double Equality00:01:50
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135. Important Notes00:04:34
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136. Indexing and Indented00:05:30
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137. Comparison and Logical Operators00:08:06
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138. IF Statments00:06:13
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139. IF and elif00:05:59
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140. Functions00:06:24
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141. Function in Function00:04:58
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142. Function with If statment00:05:31
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143. Built in Function00:05:56
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144. List in Python00:07:17
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145. List Slicing and index00:04:46
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146. Sort method00:03:30
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147. Tuples00:03:42
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148. Function and Tuples00:02:18
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149. Dictionary00:05:21
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150. get method00:02:03
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151. Loop in Python00:05:10
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152. Range and if statments with loop00:04:51
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153. Example00:03:38
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154. Iterration in Dictionary00:04:55
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155. Import module00:04:36
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156. Object Oriented Programming00:07:05
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157. Software Integration00:06:48
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158. Software Integration00:04:16
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159. The exercise00:02:54
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160. Import Data set00:08:06
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161. Dropping Variables00:05:06
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162. Exploring the Data Set00:05:08
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163. A Deeper Look at the00:06:05
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164. Splitting a Variable into00:07:40
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165. Dummies Variables00:07:41
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166. Grouping Dummy Variables00:13:11
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167. Cocatenate Columns00:05:07
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168. Order Columns and Greate Checkpoit00:04:50
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169. Date column00:07:30
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170. Extract Month and Days00:06:44
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171. types of columns00:02:21
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172. Education Column process00:05:45
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173. How to use module in python00:06:46
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174. Using module methods00:03:33
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175. Creating Database00:05:21
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176. install pymysql00:02:44
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177. Connecting between Mysql and Jupyter00:04:45
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178. commit connection00:12:23
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179. Summary of inserting data frame to Mysql00:04:24
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180. Age vs Probability00:11:55
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181. Reasons vs Probability00:07:07
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182. Transportaion vs Children00:04:56
معلومات الدورة
- المستوى: كل المستويات
- عدد المواد: 182
- اللغة: عربي
- عدد الطلاب: 19
- آخر تحديث: 24/01/2022
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