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Archived
files |
4. What is Six Sigma Part-2.mp4
[514668b3ed137e79]
|
16,087,553 |
8EA7A086 |
5. Dmaic, Dmadv & Dfss.mp4
[5f2d90ba42f3b80]
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76,903,284 |
5BCE1460 |
6. Dmaic, Dmadv & Dfss Part-2.mp4
[24d42bebaa9f73bc]
|
200,515,282 |
FEF1335C |
7. Expected Results from Six Sigma.mp4
[4332adec2143a49]
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48,258,425 |
94A52FCE |
8. Six Sigma In Detail.mp4
[f2b403066639b5a8]
|
76,457,193 |
FCD552C0 |
9. What is Statistics.mp4
[793c3bcdf9e5313f]
|
41,855,159 |
8CEE44CD |
10. What is Central Tendency.mp4
[b726cfbd1a1387ac]
|
105,359,369 |
C666F535 |
11. Measure of Spread.mp4
[4349fe972f0c72ea]
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78,504,783 |
2F0177A4 |
12. Measure of Spread Part-2.mp4
[c9313acc9c20b138]
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124,662,673 |
A00E14EF |
13. Measure of Spread-Quartile.mp4
[261d3fb2cfe2200f]
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159,536,094 |
5D0507F6 |
14. Measure of Spread-Quartile Part-2.mp4
[c002b89269eac7f5]
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98,173,282 |
D14043D8 |
15. Quartiles.mp4
[9e863beea9761e5f]
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67,671,011 |
D3FCC7FE |
16. Quartiles Part-2.mp4
[8df1cd29072bc9cc]
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41,383,463 |
33490280 |
17. 5 Steps Methodology.mp4
[9f5b2694e1f7a494]
|
42,979,813 |
1E140CB9 |
18. Ways to Commence a Project.mp4
[d63a670f4f9c9ea2]
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29,758,599 |
12157333 |
19. Different Types of Customers.mp4
[4c6ccf14d4f862d8]
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77,108,191 |
DF61AF9E |
20. Kano Model.mp4
[3705e2f843a8b701]
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136,688,597 |
CC9FF54A |
21. Define-Ways to Collect VOC.mp4
[eaa07c55037cb4e3]
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56,876,194 |
8C47CA11 |
22. Translate VOC to CTQ.mp4
[9ff89c5028c4391]
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100,886,185 |
04B477DB |
23. Translate VOC to CTQ Part-2.mp4
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128,411,135 |
8DD17E9D |
24. Define-Project Charter & Business Case.mp4
[8af9fed7f6267a05]
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41,571,297 |
E02DA445 |
25. Define-Problem Statement.mp4
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26. Define-Goal & Milestone.mp4
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78,933,480 |
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27. Define-Process Mapping.mp4
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37,706,751 |
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28. Define-Sipoc.mp4
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126,102,049 |
9B4D9273 |
29. Project Charter.mp4
[7b48961bac5724d4]
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74,280,332 |
94B724E3 |
30. Project Charter Part-2.mp4
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38,114,371 |
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31. Project Charter Part-3.mp4
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32. Measure.mp4
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41,089,300 |
646B2362 |
33. Measure Part-2.mp4
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56,041,771 |
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34. Measure-Dcp.mp4
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35. Type of Data.mp4
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36. Type of Data Part-2.mp4
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37. Type of Data Part-3.mp4
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38. Measure-Type of Sampling.mp4
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39. Measure-Type of Sampling Part-2.mp4
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40. Sample Size.mp4
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41. Sample Size Part-2.mp4
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42. Measure-MSA.mp4
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43. Measure-MSA Part-2.mp4
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61,208,313 |
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44. Process Capability.mp4
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72,356,588 |
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45. Process Capability-Dpu, Dpo & Dpmo.mp4
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82,393,997 |
223DB7FD |
46. Process Sigma.mp4
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59,764,546 |
822FC3DC |
47. Measure-Attribute Agreement Analysis.mp4
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76,852,496 |
163BE833 |
48. Minitab.mp4
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95,180,252 |
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49. Minitab Part-2.mp4
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124,913,119 |
3B2C2A81 |
50. Specification Limits.mp4
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74,978,699 |
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51. Process Capability-Continuous Data.mp4
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75,397,234 |
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52. Process Capability-Continuous Data Part-2.mp4
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C865BA4D |
53. Process Capability-Continuous Data Part-3.mp4
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133,999,203 |
D2CD1DCA |
54. Measure-Gauge R & R.mp4
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57,265,846 |
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55. Analyze.mp4
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63,664,355 |
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56. Analyze Part-2.mp4
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57. Analyze Part-3.mp4
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137,891,006 |
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58. Analyze Part-4.mp4
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46,282,367 |
90AD324B |
59. 7 Tools of Quality.mp4
[1232d208f7e64637]
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74,830,956 |
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60. 7 Tools of Quality Part-2.mp4
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71,165,887 |
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61. 7 Tools of Quality-Histogram Part-3.mp4
[c02c999d1c1680ea]
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59,707,456 |
697AEEA0 |
62. Normal Distribution.mp4
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92,949,294 |
70B1D135 |
63. Normal Distribution Part-2.mp4
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31,892,848 |
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64. Hypothesis Testing.mp4
[a59eed1e51f800c]
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69,293,160 |
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65. Hypothesis Testing Part-2.mp4
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66. Hypothesis Testing Part-3.mp4
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139,796,160 |
19B422E3 |
67. Minitab.mp4
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61,980,579 |
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68. Minitab Examples.mp4
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65,500,718 |
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69. Minitab Examples Part-2.mp4
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70. Minitab Examples Part-3.mp4
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71. Minitab Examples Part-4.mp4
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72. Minitab Examples Part-5.mp4
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73. Minitab Examples Part-6.mp4
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197,569,130 |
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74. Test of Equal Variance.mp4
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121,739,781 |
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75. Test of Equal Variance Part-2.mp4
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100,488,098 |
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76. Test of Equal Variance Part-3.mp4
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77. One Sample T.mp4
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140,027,473 |
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78. One Sample T Part-2.mp4
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120,821,329 |
1CE4435B |
79. Exercise.mp4
[500b9ba28a0d5a04]
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127,886,414 |
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80. Exercise Part-2.mp4
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125,470,823 |
2A4F0379 |
81. Measure-Gauge R & R.mp4
[9fe5ac04b829e47d]
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109,064,664 |
F9C5AE79 |
82. Box Plot.mp4
[42f8a3367cbed431]
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96,829,186 |
A2DCFAEB |
83. Box Plot Part-2.mp4
[402022988c5b3b92]
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135,503,514 |
B8AAAE57 |
84. Improve.mp4
[2e3d6e5da12d843b]
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49,614,150 |
0364E748 |
85. Matrix.mp4
[6a0979271fcc7fc8]
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46,146,699 |
06023306 |
86. Improve-Fmea.mp4
[ac46b36dc5bf3d4c]
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76,239,025 |
DE64E16D |
87. Improve-Fmea Part-2.mp4
[5c41336540b73591]
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86,717,762 |
ABE7480C |
88. Improve-Fmea Part-3.mp4
[43c4821e32e8dbb2]
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44,657,170 |
A3DD8AA0 |
89. Design of Experiment.mp4
[b2e535bd27c46df6]
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7706EFFB |
90. Design of Experiment Part-2.mp4
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2F8FDD96 |
91. Design of Experiment Part-3.mp4
[673a5170a0b6b48c]
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85,417,247 |
0E2E465C |
92. Control.mp4
[644f0b826b2d0475]
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65,689,207 |
048552FE |
93. Control Charts.mp4
[37b090c0dea13ef1]
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92,669,401 |
09F0C599 |
94. Control Charts Part-2.mp4
[7fc6f0c86fa6d130]
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118,853,504 |
86936B17 |
95. Control Charts Part-3.mp4
[308d819b527c953e]
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196,548,637 |
00765CAA |
96. Control-Process Control.mp4
[ff880b49a4034b19]
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46,214,693 |
BDC7F43F |
97. Lean 5S.mp4
[ecd5fe2c6066f443]
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92,768,107 |
CCF56522 |
98. Lean 5S Part-2.mp4
[abbef2239b522ef5]
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101,787,259 |
C39701B1 |
99. Lean 5S Part-3.mp4
[54b3c1df5145d4cc]
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116,899,550 |
B45517F4 |
100. Analytics Part-1.mp4
[5defde4adc4c595d]
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86,655,691 |
009425E5 |
101. Analytics Part-2.mp4
[b25cc74b930337ba]
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62,309,814 |
E42DFC20 |
102. R Introduction.mp4
[e9aca0f52f53a50b]
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99,472,114 |
3BF067A3 |
103. R studio installation & how to update R regulary.mp4
[67728cca56568ae5]
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90,818,919 |
BB58F67B |
104. Importing and Exporting Data in R Part- 1.mp4
[6ec359671c51d4eb]
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93,795,817 |
CF4A8BB7 |
105. Importing and Exporting Data in R Part-2.mp4
[4013e33b6335a380]
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60,581,731 |
4162DB5F |
106. Exporting Data in R.mp4
[64d7bce3ed74228f]
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22,661,853 |
D675D2D7 |
107. Operators of R Part-1.mp4
[9d5d0bc0927664b]
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77,408,054 |
5BC14CFC |
108. Operators of R Part-2.mp4
[626f7ef224ab5321]
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38,617,705 |
B29EAB6F |
109. Data Structures Part-1.mp4
[84df662ae7b0c03b]
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69,742,176 |
A31C4612 |
110. Data Structure Part-2.mp4
[2f178847c44722bc]
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90,507,095 |
55402CFC |
111. Data Structure Part-3.mp4
[44c1f4a6331dfa18]
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48,379,707 |
5EC74ACF |
112. Handling packages in R.mp4
[4103618801dc0841]
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101,898,993 |
98231A64 |
113. Subsetting Data in R.mp4
[4b5e0fa7c8efffb4]
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77,369,662 |
3ED73F4B |
114. Subset Command.mp4
[471534c66bdbf165]
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120,610,049 |
686199E5 |
115. Data Management in R.mp4
[a68fe37d6e2f4d0]
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73,958,838 |
5E738F5C |
116. Adding,Removing Row,Column.mp4
[d637a889e677c268]
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46,461,966 |
BB154682 |
117. Descriptive Statistics in R.mp4
[530b7b895efcf99d]
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57,320,183 |
5D08C14C |
118. Apply Family Part- 1.mp4
[eef09603d7300438]
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79,897,445 |
CA6CDBA9 |
119. Apply Family Part-2.mp4
[7b4c16031003b8b0]
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80,986,739 |
DD5A2664 |
120. Apply Family Part-3.mp4
[c1fac90c802ec516]
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104,198,706 |
A7C592F2 |
121. Aggregate Function in R.mp4
[c04d5aa46cd7e6e6]
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101,643,610 |
70B9EE1E |
122. Aggregate Table Function & Use Part-1.mp4
[9b4f2b3819ef9602]
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100,066,355 |
AA3F4810 |
123. Aggregate Table Function & Use Part-2.mp4
[6c68864f1abebf0a]
|
96,102,951 |
0530B4D6 |
124. Data Manipulation in R Part-1.mp4
[5b3e19c794c89130]
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88,453,101 |
35C6D71B |
125. Data Manipulation in R Part-2.mp4
[4db1acf0f7c386b4]
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167,208,310 |
426EB6A1 |
126. Basic Graphs Part-1.mp4
[b8acc4ad619c726]
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78,279,969 |
AC16EEF9 |
127. Basic Graphs Part-2.mp4
[dabdd34ab68ccac8]
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155,832,410 |
73AB36A1 |
128. Box Plot.mp4
[db1f758b6c99dfff]
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67,865,701 |
772A0AF5 |
129. Bar Plots.mp4
[3ac2bc30dac32736]
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107,248,898 |
C4160336 |
130. Histogram.mp4
[db05f43e2f63cd91]
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102,511,951 |
6123AED2 |
131. Pie Charts.mp4
[f1d73df55c65b8bb]
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71,601,182 |
A2AB275F |
132. GG Plot Intro.mp4
[b684684732c54735]
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28,715,647 |
DF611D85 |
133. ggscatter plot Part-1.mp4
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89,128,791 |
8AD9A5C3 |
134. ggscatter plot Part-2.mp4
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82,031,886 |
4B9121A6 |
135. GG Bar Plot.mp4
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101,107,670 |
F92CFD29 |
136. GG Plot Heat Map.mp4
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26,652,083 |
47AC7F52 |
137. Simple Linear Regression in R Part- 1.mp4
[5a375e56a4ee1568]
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79,411,611 |
01670BFE |
138. Simple Linear Regression in R Part-2.mp4
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59,499,303 |
2CA501CA |
139. Multi-Linear Regression in R Part- 1.mp4
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24,954,885 |
ECC03FC9 |
140. Multi-Linear Regression in R Part-2.mp4
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121,131,400 |
BF785116 |
141. Logistic Regression In R.mp4
[997833c8f45d1256]
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116,056,703 |
18430D30 |
142. Logistic regression model Part- 1.mp4
[5824834dc5b30c2e]
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114,292,817 |
5694112D |
143. Logistic regression model Part- 2.mp4
[9ed8eadeaa2cd7df]
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98,073,701 |
DD60B9E7 |
144. Decision Tree In R.mp4
[67db06b36f97754]
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34,916,112 |
0C10CC9B |
145. DT- Codes Part- 1.mp4
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82,824,208 |
F1A9C3C3 |
146. DT- Codes Part-2.mp4
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97,251,247 |
B3F52D71 |
147. DT- Codes Part-3.mp4
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106,323,114 |
C93D8BDB |
148. DT- Codes Part-4.mp4
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76,363,391 |
F7AA2FB5 |
149. Cluster Analysis.mp4
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114,562,169 |
DC64D774 |
150. K Means Model.mp4
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93,633,483 |
BF7C0414 |
151. Calculating Distance Part- 1.mp4
[9a078bae7b3e5f0f]
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90,208,898 |
EB91C7EE |
152. Calculating Distance Part-2.mp4
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59,962,642 |
48E29DC8 |
1. Introduction.mp4
[d454aa3932e41afb]
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67,180,198 |
FD20696F |
2. Six Sigma History.mp4
[20860b554eeeccac]
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62,334,024 |
26C97A3A |
3. What is Six Sigma.mp4
[4d5897112e1df554]
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37,012,269 |
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13,080,149,437 |
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