Udemy Аналитика доходов и ценообразования с помощью Excel и Python 2023

1. 9.Multi product optimization/128.Multivariate regression in python.mp4191.64MB
2. 1.Introduction/2.What is pricing.mp46.17MB
3. 1.Introduction/3.History of Pricing.mp437.63MB
4. 1.Introduction/4.Internal dimensions of price.mp45.19MB
5. 1.Introduction/5.A perfectly Competitive market.mp437.98MB
6. 1.Introduction/6.The price market Dynamics.mp420.6MB
7. 1.Introduction/7.The early adaptors.mp437.13MB
8. 1.Introduction/8.Products Vs Services Vs Resources.mp428.08MB
9. 1.Introduction/9.Characteristics of the service industry.mp422.49MB
10. 1.Introduction/10.Game changer.mp435.78MB
11. 1.Introduction/11.ERP systems.mp419.75MB
12. 1.Introduction/12.The evolution of E-commerce.mp419.59MB
13. 1.Introduction/13.Different pricing strategies.mp416.59MB
14. 1.Introduction/14.Price Dimension.mp48.81MB
15. 1.Introduction/15.Some Examples.mp418.37MB
16. 2.Price Response function/16.Intro.mp432.51MB
17. 2.Price Response function/17.Linear Regression.mp440.19MB
18. 2.Price Response function/18.Price Response function.mp425.08MB
19. 2.Price Response function/19.Logistic Regression.mp460.53MB
20. 2.Price Response function/20.Logistic Price Response function.mp415.55MB
21. 2.Price Response function/21.Linear Price function estimation.mp453.91MB
22. 2.Price Response function/22.Correction.mp418.22MB
23. 2.Price Response function/23.Logit Price function.mp444.61MB
24. 2.Price Response function/24.Simulating the price.mp489.13MB
25. 2.Price Response function/25.Elasticity intro.mp447.96MB
26. 2.Price Response function/26.Elasticity.mp4129.59MB
27. 2.Price Response function/27.Elasticity for logit and linear.mp482.59MB
28. 2.Price Response function/28.Assignment.mp47.6MB
29. 2.Price Response function/29.Answer.mp417.55MB
30. 2.Price Response function/30.Some examples of elasticity.mp46.06MB
31. 2.Price Response function/31.Polynomial.mp4145.94MB
32. 2.Price Response function/32.Willingness to pay.mp411.69MB
33. 2.Price Response function/33.Point of maximum profit.mp49.73MB
34. 2.Price Response function/34.Summary Quick Functions.mp474.44MB
35. 2.Price Response function/35.Logit and linear solver optimization.mp4131.35MB
36. 2.Price Response function/36.Summary.mp413.32MB
37. 3.Price Differentiation/37.Segmentation Intro.mp4148.98MB
38. 3.Price Differentiation/38.Grouping Customers.mp47.85MB
39. 3.Price Differentiation/39.A practical example.mp416MB
40. 3.Price Differentiation/40.Realized Profit.mp415.92MB
41. 3.Price Differentiation/41.Profit with segmentation and without segmentation.mp425.24MB
42. 3.Price Differentiation/42.Segmentation simulation.mp427.22MB
43. 3.Price Differentiation/43.Segmentation simulation 2.mp466.59MB
44. 3.Price Differentiation/44.assignment.mp46.55MB
45. 3.Price Differentiation/45.Answer 1.mp44.86MB
46. 3.Price Differentiation/46.Answer 2.mp49.66MB
47. 3.Price Differentiation/47.Group pricing.mp414.89MB
48. 3.Price Differentiation/48.Channel segmentations and Cupons.mp439.23MB
49. 3.Price Differentiation/49.Volume Discounts.mp433.03MB
50. 3.Price Differentiation/50.Volume discount Example.mp413.28MB
51. 3.Price Differentiation/51.Optimizing profit with supply constraints.mp423.38MB
52. 3.Price Differentiation/52.Variable Pricing.mp441.47MB
53. 3.Price Differentiation/53.Non Variable pricing optimization.mp451.29MB
54. 3.Price Differentiation/54.Variable pricing optimization.mp440.55MB
55. 3.Price Differentiation/55.Assignment.mp44.62MB
56. 3.Price Differentiation/56.Variable pricing answer.mp425.69MB
57. 4.Revenue management/57.Revenue Management Intro.mp441.93MB
58. 4.Revenue management/58.Revenue management.mp416.8MB
59. 4.Revenue management/59.The rest is History.mp421.55MB
60. 4.Revenue management/60.Allotment.mp427.5MB
61. 4.Revenue management/61.Nesting.mp48.28MB
62. 4.Revenue management/62.Revenue management Components and techniques.mp451.91MB
63. 4.Revenue management/63.Capacity allocation.mp410.95MB
64. 4.Revenue management/64.Littlewood example.mp433.79MB
65. 4.Revenue management/65.Assignment.mp45.86MB
66. 4.Revenue management/66.Answer.mp46.37MB
67. 4.Revenue management/67.Multiple class Fare EMSR.mp420.62MB
68. 4.Revenue management/68.EMSR example.mp468.96MB
69. 4.Revenue management/69.Assignment.mp48.46MB
70. 4.Revenue management/70.Answer.mp419.45MB
71. 4.Revenue management/71.Network management.mp48.01MB
72. 4.Revenue management/72.airplane example.mp49.23MB
73. 4.Revenue management/73.Linear programming 1.mp415.51MB
74. 4.Revenue management/74.Linear programming 2.mp427.98MB
75. 4.Revenue management/75.Overbooking.mp412.43MB
76. 4.Revenue management/76.Network management assignment.mp47.91MB
77. 4.Revenue management/77.Network management answer.mp458.1MB
78. 4.Revenue management/78.Python intro.mp410.09MB
79. 5.Installing Anaconda/79.Python History.mp410.41MB
80. 5.Installing Anaconda/80.Downloading Anaconda.mp423.62MB
81. 5.Installing Anaconda/81.Installing Anaconda.mp410.33MB
82. 5.Installing Anaconda/82.Spyder Overview.mp4142.97MB
83. 5.Installing Anaconda/83.Jupiter overview.mp410.8MB
84. 5.Installing Anaconda/84.Packages.mp438.74MB
85. 5.Installing Anaconda/85.Inventorize Package.mp450.13MB
86. 6.Python Crash section/86.Intro.mp450.42MB
87. 6.Python Crash section/87.Dataframes.mp417.4MB
88. 6.Python Crash section/88.Arithmetic Calculations with Python.mp427.15MB
89. 6.Python Crash section/89.Lists.mp423.19MB
90. 6.Python Crash section/90.Dictionaries.mp420.4MB
91. 6.Python Crash section/91.Arrays.mp412.51MB
92. 6.Python Crash section/92.Importing data in Python.mp465.8MB
93. 6.Python Crash section/93.Subsetting Dataframes.mp447.22MB
94. 6.Python Crash section/94.Conditions.mp417.34MB
95. 6.Python Crash section/95.Writing functions.mp423.35MB
96. 6.Python Crash section/96.Mapping.mp46.76MB
97. 6.Python Crash section/97.Forloops.mp46.77MB
98. 6.Python Crash section/98.For looping a Function.mp411.62MB
99. 6.Python Crash section/99.Mapping on a dataframe.mp425.68MB
100. 6.Python Crash section/100.For looping on a dataframe.mp443.62MB
101. 6.Python Crash section/101.Summary.mp431.76MB
102. 6.Python Crash section/102.Assignment.mp47.73MB
103. 6.Python Crash section/103.Assignment answer 1.mp437.02MB
104. 6.Python Crash section/104.Assignment Answer 2.mp465.9MB
105. 7.Linear response function with Python/105.Inventorize.mp48.78MB
106. 7.Linear response function with Python/106.Price function motivation with python.mp419.21MB
107. 7.Linear response function with Python/107.Simulating demand.mp430.72MB
108. 7.Linear response function with Python/108.Point of maximum profit.mp450.7MB
109. 7.Linear response function with Python/109.Assignemnt.mp410.61MB
110. 7.Linear response function with Python/110.Assignment Explanation.mp433.99MB
111. 7.Linear response function with Python/111.Linear Elasticity with Inventorize.mp416.82MB
112. 7.Linear response function with Python/112.Parsing dates.mp426.01MB
113. 7.Linear response function with Python/113.Getting list of Unique SKUs.mp434.58MB
114. 7.Linear response function with Python/114.Elasticity on multiple products.mp445.55MB
115. 7.Linear response function with Python/115.Error handling for linear elasticity.mp445.7MB
116. 7.Linear response function with Python/116.Conclusion.mp431.58MB
117. 7.Linear response function with Python/117.Single optimization summary.mp475.68MB
118. 7.Linear response function with Python/118.Assignment.mp46.62MB
119. 7.Linear response function with Python/119.Explanation.mp412.93MB
120. 8.Logit Price response function/120.Logistic modeling with inventorize.mp439.97MB
121. 8.Logit Price response function/121.Comparison between logit and linear.mp439.11MB
122. 8.Logit Price response function/122.Logit for looping.mp446.18MB
123. 8.Logit Price response function/123.Logit assignment.mp414.39MB
124. 8.Logit Price response function/124.Logit Assignment answer.mp435.2MB
125. 9.Multi product optimization/125.Introduction.mp459.13MB
126. 9.Multi product optimization/126.Competing Products.mp434.82MB
127. 9.Multi product optimization/127.Relation among products.mp411.37MB
128. 1.Introduction/1.Introduction.mp474.11MB
129. 9.Multi product optimization/129.Multinomial choice models.mp416.37MB
130. 9.Multi product optimization/130.Multinomial choice models part 2.mp433.55MB
131. 9.Multi product optimization/131.Multi competing products in python.mp432.01MB
132. 9.Multi product optimization/132.Competing Products summary.mp421.33MB
133. 10.Markdowns/133.Intro.mp453.49MB
134. 10.Markdowns/134.Markdowns.mp415.16MB
135. 10.Markdowns/135.Why we do Markdowns.mp422.23MB
136. 10.Markdowns/136.Customers segment to markdowns.mp411.55MB
137. 10.Markdowns/137.Problem formulation.mp411.49MB
138. 10.Markdowns/138.Markdowns for multiple periods.mp436.16MB
139. 10.Markdowns/139.Setting up solver.mp413.63MB
140. 10.Markdowns/140.Salvage value.mp49.32MB
141. 10.Markdowns/141.Markdowns with forecasting.mp430.64MB
142. 10.Markdowns/142.Sensitivity analysis.mp422.2MB
143. 10.Markdowns/143.Markdowns for one period.mp46.48MB
144. 10.Markdowns/144.Assignment.mp412.82MB
145. 11.Customized pricing/145.Customized Pricing.mp446.07MB
146. 11.Customized pricing/146.Introduction.mp411.47MB
147. 11.Customized pricing/147.Difference between customized prices and list prices.mp47.52MB
148. 11.Customized pricing/148.Expected Contribution.mp414.86MB
149. 11.Customized pricing/149.Attributes in bid price response functions.mp410.81MB
150. 11.Customized pricing/150.Data exploration.mp434.66MB
151. 11.Customized pricing/151.Fitting interest rate.mp426.92MB
152. 11.Customized pricing/152.Simulations on interest rate.mp413.81MB
153. 11.Customized pricing/153.Probability P.mp429.56MB
154. 11.Customized pricing/154.Expected margin first model.mp442.11MB
155. 11.Customized pricing/155.Scaling the attributes.mp440.01MB
156. 11.Customized pricing/156.Modeling the logistic model.mp431.98MB
157. 11.Customized pricing/157.Cross validation.mp447.62MB
158. 11.Customized pricing/158.Modeling interaction.mp4112.12MB