|
RAR-files |
| ilearn-maarbmue.rar |
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| ilearn-maarbmue.r68 |
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| ilearn-maarbmue.r70 |
50,000,000 |
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| ilearn-maarbmue.r71 |
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| ilearn-maarbmue.r72 |
50,000,000 |
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29,369,095 |
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|
| Total size: |
3,779,369,095 |
|
|
| Archived
files |
|
5. Creating Linear Model with Trendlines.mp4
[7c30b7933debd996]
|
67,109,436 |
CBEC4010 |
|
6. Gathering Business Knowledge.mp4
[215b58fbe1fbbd8c]
|
15,232,755 |
61E8A5A0 |
|
7. Data Exploration.mp4
[40daaeb45a227edd]
|
21,114,149 |
E46CAB98 |
|
8. The Data and the Data Dictionary.mp4
[a0f49cf261e17ff8]
|
72,700,705 |
FE05CF8A |
|
9. Univariate analysis and EDD.mp4
[5eff090e18147489]
|
25,398,579 |
E2CAE1AB |
|
10. Descriptive Data Analytics or EDD in Excel.mp4
[2ee438792134c97e]
|
162,790,103 |
303A89A4 |
|
11. Outlier Treatment.mp4
[ee14030b3beb9da9]
|
25,678,532 |
2551DD7F |
|
12. Outlier treatment in Excel.mp4
[fed0baa9b5bdf45b]
|
52,374,916 |
84FCECAD |
|
13. Missing Value Imputation.mp4
[b050ff76248dd7f4]
|
26,182,775 |
10DA21E9 |
|
14. Missing value imputation in Excel.mp4
[9233674628c6efbd]
|
50,745,213 |
F3A2A3FF |
|
15. Variable Transformation in Excel.mp4
[6545105bff13eb92]
|
54,979,094 |
13D8D6C2 |
|
16. Dummy variable creation Handling qualitative data.mp4
[155e3cec1df4a0ef]
|
38,568,314 |
8E99B60B |
|
17. Dummy Variable Creation in Excel.mp4
[673ef1e3204ed0b8]
|
106,727,633 |
4AA79901 |
|
18. Correlation Analysis.mp4
[91a3930c8d3cd80f]
|
73,247,904 |
26C66CEB |
|
19. Creating Correlation Matrix in Excel.mp4
[cc889ef0b6427c61]
|
93,200,076 |
F30A7BA0 |
|
20. The Problem Statement.mp4
[f3de2eefdf1ace21]
|
9,816,799 |
E7AC7815 |
|
22. Basic Equations and Ordinary Least Squares (OLS) method.mp4
[aed73dc08266c87d]
|
45,483,749 |
55F2658B |
|
23. Assessing accuracy of predicted coefficients.mp4
[5aa0fe1b92ba79bd]
|
96,647,713 |
D10718D6 |
|
24. Assessing Model Accuracy RSE and R squared.mp4
[72ecb5c452062c01]
|
45,757,067 |
FD709BC0 |
|
25. Creating Simple Linear Regression model.mp4
[74e8980949336a42]
|
28,389,377 |
F79003EB |
|
26. Multiple Linear Regression.mp4
[e457287a5a531ce9]
|
35,993,252 |
73C9E5B1 |
|
27. The F - statistic.mp4
[a53e51db3c5aaf77]
|
58,702,029 |
EC5E1EE2 |
|
28. Interpreting results of Categorical variables.mp4
[8c6a42e0d705ea45]
|
23,592,521 |
36D7B688 |
|
29. Creating Multiple Linear Regression model.mp4
[ebc43120b696913e]
|
88,394,025 |
5F817446 |
|
30. Forecasting in presence of special events.mp4
[a49fad949678ebce]
|
8,292,779 |
358E98EE |
|
31. Excel Running Linear Regression using Solver.mp4
[c058c48bc19ff599]
|
109,817,425 |
301C42B5 |
|
32. Excel Including the impact of Special Events.mp4
[fcba44950ee170db]
|
179,842,006 |
A4BFD9BD |
|
33. Models to identify Trend & Seasonality.mp4
[9ca585d30d333343]
|
35,751,899 |
6C0C044F |
|
34. Excel Additive model to identify Trend & Seasonality.mp4
[bd4c719cbbd486cc]
|
78,054,039 |
9934435E |
|
35. Excel Multiplicative model to identify Trend & Seasonality.mp4
[e8a2c4366fff8ecf]
|
50,317,883 |
4A748292 |
|
36. Market Basket and Lift - Introduction.mp4
[416a3c27cb1445c9]
|
58,405,336 |
7773D82F |
|
37. Named Ranges - Excel.mp4
[dcf40b7b91d3c423]
|
66,149,013 |
1F572751 |
|
38. Indirect Function - Excel.mp4
[6749e0eea692611a]
|
37,238,158 |
DEF00540 |
|
39. 2-way lift calculation in Excel.mp4
[25e6425c5becbdfc]
|
96,882,882 |
1FA8F16B |
|
40. 2-way lift calculation - Dynamic.mp4
[36ad4d581c1a7749]
|
60,937,789 |
9348715F |
|
41. 2-way lift data table creation.mp4
[56d4f620ecfa8284]
|
69,544,366 |
92CD7DB4 |
|
42. 3-way lift calculation.mp4
[286f10d8860ae889]
|
169,141,365 |
DAAA6913 |
|
43. Store Layout optimization using Lift values.mp4
[acacf1dfac388bcb]
|
99,023,382 |
3AF955BA |
|
44. RFM (recency, frequency, monetary) Analysis.mp4
[96a7eadfa3e90c03]
|
43,360,298 |
08C0B16B |
|
45. RFM Analysis in Excel- Part 1.mp4
[7ef98dc2fcadf318]
|
164,164,717 |
7809C8C2 |
|
46. RFM Analysis in Excel- Part 2.mp4
[74ce829889e42a5d]
|
126,318,351 |
2C2B0DA8 |
|
47. Steps of setting a Pricing policy.mp4
[e77061c53c8f7406]
|
13,230,777 |
AB77902D |
|
48. Different Pricing Objectives.mp4
[e18f3049ee9f6c40]
|
29,314,313 |
2262E1CE |
|
49. Estimating Demand.mp4
[bab720ab9c0ff45d]
|
30,860,264 |
FB75C1CF |
|
50. Forms of Demand Curve.mp4
[b79830c4b81c28c0]
|
8,973,283 |
1C9F2DD4 |
|
52. Excel Estimating Linear Demand Curve.mp4
[ffd07b9ad69340af]
|
40,856,780 |
54F758C7 |
|
53. Excel Estimating Power Demand curve with Elasticity.mp4
[2f76136d76c8b133]
|
24,872,322 |
3170E459 |
|
54. Excel Estimating Power Demand Curve with points.mp4
[a76e73631caaef2b]
|
20,654,406 |
9A9FB667 |
|
55. Subjective Demand curve.mp4
[46b42876979d4a9b]
|
10,287,794 |
393A8C26 |
|
56. Excel Estimating Subjective Demand Curve.mp4
[4b4392c3144849b6]
|
14,790,362 |
E104A295 |
|
57. Price Bundling.mp4
[3d631f9380b5dbfc]
|
37,928,701 |
50BB146D |
|
58. Types of Bundling.mp4
[73694914ac504b3b]
|
42,760,380 |
EC162F99 |
|
59. The Bundling Problem.mp4
[f14311be8f9361e]
|
26,760,149 |
F0754412 |
|
60. Excel Solving Bundling problem Part 1.mp4
[a738477759f8bd10]
|
141,000,859 |
AB963329 |
|
61. Excel Solving Bundling problem Part 2.mp4
[71e147589fa885b1]
|
102,577,700 |
F0EF33B8 |
|
62. Excel Solving Bundling problem (Price Reversal).mp4
[d1ddbeb61c92e6d1]
|
125,199,988 |
6DCAB45C |
|
63. Non-Linear Pricing Strategies.mp4
[32a1cbcf58c7bd04]
|
14,596,051 |
52D62DF7 |
|
64. Lifetime Customer Value - Key concepts.mp4
[d0b8f67122b96dd3]
|
65,391,791 |
54AF76DF |
|
65. Lifetime Customer Value - Excel model.mp4
[f43f8e9601942371]
|
76,664,909 |
9BD35A2E |
|
66. Sensitivity Analysis in Excel.mp4
[a093f87e687e74c7]
|
59,209,958 |
7222F07C |
|
67. Variations in finding customer value.mp4
[df1d1e73afd9a66d]
|
40,901,058 |
1DB14556 |
|
70. The final milestone!.mp4
[8e5d3430d9c45396]
|
12,457,753 |
FDDCF1D3 |
|
1. Introduction.mp4
[338e6f33a0c15841]
|
23,488,370 |
BDF68B41 |
|
3. Basics of Forecasting.mp4
[2e57cca0c9ada3bc]
|
22,869,728 |
14B69F41 |
|
4. This is a milestone!.mp4
[a9c0e1c9c9ede17b]
|
21,639,006 |
70548B5E |
|
| Total size: |
3,779,355,106 |
|
|
