365datascience v2 | A541E689910CB1A670E57B5F4D8929CF8ACEE665

365datascience v2

Name	365datascience_v2	DOWNLOAD Copy Link
Total Size	35.7 GB
Total Files	1174
Last Seen	2025-02-16 02:10
Hash	A541E689910CB1A670E57B5F4D8929CF8ACEE665

/.../01-Intro-to-Data-and-Data-Science/
00001-intro 1 real.mp4	52.3 MB
00002-Data Science - Data Science and Business Buzzwords.mp4	35.7 MB
00003-Data Science - Analysis vs Analytics.mp4	20.5 MB
00004-Data Science - Business and Data Analytics, Data Science.mp4	42.4 MB
00005-Data Science - Business Intelligence, Machine Learning, Artificial Intelligence.mp4	71.4 MB
00006-Data Science - A Breakdown of our Data Science Infographic.mp4	59.5 MB
00007-Data Science - Traditional and Big Data, BI, Traditional Data Science and ML.mp4	114.3 MB
00008-Data Science - The Reason behind these Disciplines.mp4	67.8 MB
00009-Data Science - Techniques for Working with Traditional Data.mp4	137.4 MB
00010-Data Science - Real Life Examples of Traditional Data.mp4	20.7 MB
00011-Data Science - Techniques for Working with Big Data.mp4	72.0 MB
00012-Data Science - Real Life Examples of Big Data.mp4	16.2 MB
00013-Data Science - Business Intelligence (BI) Techniques.mp4	61.3 MB
00014-Data Science - Real Life Examples of Business Intelligence.mp4	45.8 MB
00015-4.7 Intro_to_DSc.mp4	93.2 MB
00016-Data Science - Real Life Examples of Traditional Methods.mp4	45.1 MB
00017-Data Science - Machine Learning (ML) Techniques.mp4	51.6 MB
00018-Data Science - Types of Machine Learning.mp4	82.7 MB
00019-Data Science - Real Life Examples of Machine Learning (ML).mp4	36.3 MB
00020-Data Science - Programming Languages and Software used in Data Science.mp4	109.3 MB
00021-Data Science - Finding the Job.mp4	45.3 MB
00022-Data Science - Debunking Common Misconceptions.mp4	91.6 MB
/.../02-Introduction-to-Microsoft-Excel/
00001-1. Getting to know Excel_365ds.mp4	8.2 MB
00002-2. Data entry - 365ds.mp4	7.7 MB
00003-3. Formatting - 365ds.mp4	15.3 MB
00004-4. Rows and columns - 365ds.mp4	3.9 MB
00005-5. Formulas -365ds.mp4	5.3 MB
00006-6. Functions with 365 ds.mp4	7.8 MB
00007-7. Cut, copy, paste.mp4	5.2 MB
00008-8. paste special.mp4	3.8 MB
00009-9. alt enter.mp4	1.4 MB
00010-10. text to colums.mp4	4.2 MB
00011-11. set print area.mp4	2.3 MB
00012-12. Wrap text.mp4	1.4 MB
00013-13. Hyperlinks .mp4	2.6 MB
00014-14. Freeze panes - 365ds.mp4	7.5 MB
00015-15. Tell me what you want to do.mov	10.1 MB
00016-16. Pivot Tables.mp4	9.3 MB
00017-17. Formatting.mp4	3.9 MB
00018-18. Macros.mp4	7.4 MB
00019-19. RE-use macros.mp4	4.0 MB
00020-20. Fast scroll.mp4	10.0 MB
00021-21. F5 and Enter.mp4	6.9 MB
00022-22. Fixing References.mp4	6.7 MB
00023-23. Select special.mp4	4.4 MB
00024-24. Dynamic names.mp4	5.4 MB
00025-25. Naming ranges.mp4	3.2 MB
00026-26. Custom formatting.mp4	3.4 MB
00027-27. Data Validation.mp4	4.7 MB
00028-28. Custom sort.mp4	3.8 MB
00029-29. Shortcuts.mp4	18.1 MB
00030-30. Multiply by 1.mp4	5.7 MB
00031-31. Find and replace.mp4	8.0 MB
00032-32. Replace formats.mp4	4.6 MB
00033-33. Green references.mp4	4.3 MB
00034-34 Beauty saving.mp4	5.2 MB
00035-35. F2.mp4	5.9 MB
00036-36. Conditional formatting.mp4	20.7 MB
00037-37. If.mp4	6.9 MB
00038-38. Enlarge the formula bar.mp4	2.9 MB
00039-1. Sum Functions.mp4	10.0 MB
00040-2. count.mp4	8.4 MB
00041-41. Average.mp4	5.5 MB
00042-42. Text function.mp4	16.6 MB
00043-43. Working with text.mp4	7.6 MB
00044-44. Max and Min.mp4	6.8 MB
00045-45 show that equeals and plus are the same.mp4	2.7 MB
00046-46. Round.mp4	2.5 MB
00047-47 Lookup.mp4	28.3 MB
00048-48. Index and match.mp4	33.8 MB
00049-49. iferror.mp4	5.1 MB
00050-50. Rank.mp4	10.4 MB
00051-51. Choose.mp4	12.2 MB
00052-52. Goal seek.mp4	8.8 MB
00053-53. Data Tables.mp4	10.4 MB
00054-58. Intro.mp4	5.0 MB
00055-59. What you will see next.mp4	5.8 MB
00056-60 Data sourse.mp4	13.0 MB
00057-61.mp4	17.2 MB
00058-62. create a code.mp4	15.1 MB
00059-63.mp4	13.1 MB
00060-64. Vlook up.mp4	39.6 MB
00061-65 Sumif.mp4	30.4 MB
00062-66 Index match.mp4	36.1 MB
00063-67. Mapping.mp4	31.0 MB
00064-68 Mapping exercise.mp4	17.2 MB
00065-69. Building Pl.mp4	11.5 MB
00066-70. Formating a PL.mp4	11.5 MB
00067-71 Fill in the PL.mp4	15.0 MB
00068-72 Countif.mp4	14.6 MB
00069-73. percentage variations.mp4	12.7 MB
00070-74. Charts.mp4	4.2 MB
00071-75. inserting charts.mp4	8.4 MB
00072-76. formatting.mp4	10.1 MB
00073-77 Modifying.mp4	11.8 MB
00074-78. bridge chart.mp4	5.8 MB
00075-79. Treemap.mp4	4.3 MB
00076-80.Sparklines.mp4	12.2 MB
00077-82. Column stacked chart.mp4	19.5 MB
00078-83. Doughnut chart.mp4	18.0 MB
00079-84. Area and line chart.mp4	12.2 MB
00080-85. Bridge.mp4	22.7 MB
00081-86. Introduction.mp4	6.1 MB
00082-87. the finance.mp4	16.3 MB
00083-88.mp4	10.9 MB
00084-89. Adjusting pivot tables.mp4	20.5 MB
00085-90. GetPivotData.mp4	13.6 MB
00086-91. Slicers.mp4	22.3 MB
00087-94. Introduction.mp4	9.1 MB
00088-95. SAP Data.mp4	20.2 MB
00089-96. Mapping.mp4	23.8 MB
00090-97. Structure.mp4	11.6 MB
00091-98. Layout.mp4	11.0 MB
00092-99..mp4	7.3 MB
00093-100. the finance.mp4	17.9 MB
00094-101. GetPivotData.mp4	32.5 MB
00095-193. inserting slisers.mp4	15.8 MB
00096-104. formatting slicers.mp4	15.0 MB
00097-105. playing with slicers.mp4	17.0 MB
/.../03-Advanced-Microsoft-Excel/
00001-Why Excel and Why Modeling.mp4	9.4 MB
00002-Pro Formatting.mp4	27.8 MB
00003-Cell Styles.mp4	28.4 MB
00004-FP and Paste Sp.mp4	12.9 MB
00005-Format Cells Pt I.mp4	13.9 MB
00006-Custom Numbers.mp4	19.5 MB
00007-Cond Formatting.mp4	26.9 MB
00008-Filter by Color.mp4	22.6 MB
00009-Split Screen.mp4	40.6 MB
00010-F keys.mp4	24.6 MB
00011-Select Vis Cells.mp4	18.3 MB
00012-Group Cols and Rows.mp4	38.3 MB
00013-Group Sheets.mp4	6.6 MB
00014-F and R - Formulas.mp4	27.3 MB
00015-F and R Formatting.mp4	34.0 MB
00016-circ refs the basics.mp4	15.1 MB
00017-Circ Refs Example.mp4	10.7 MB
00018-Trace Precedents.mp4	22.0 MB
00019-Nested Functions.mp4	9.5 MB
00020-Index and Match.mp4	33.1 MB
00021-Advanced Excel - Index, Match, Match.mp4	17.3 MB
00022-INDIRECT Vlookup Indirect.mp4	20.0 MB
00023-Rols Cols. Vlookup and Cols.mp4	18.6 MB
00024-Vlookup and Match.mp4	7.8 MB
00025-Vlookup and Choose.mp4	10.6 MB
00026-Offset, Offset and Match.mp4	21.7 MB
00027-Date Functions.mp4	15.5 MB
00028-Advanced Excel - Tips and Tricks - Part I.mp4	40.7 MB
00029-Advanced Excel - Tips and Tricks - Part II.mp4	39.9 MB
00030-Advanced Excel - Tips and Tricks - Part III.mp4	31.0 MB
00031-Advanced Excel - Tips and Tricks - Part IV.mp4	23.6 MB
/Module-01/04-Probability/
00001-1.2.mp4	25.5 MB
00002-1.3.mp4	27.5 MB
00003-1.4.mp4	19.5 MB
00004-1.5.mp4	18.5 MB
00005-2.1.mp4	7.2 MB
00006-2.2 Permutation 30.04.mp4	11.6 MB
00007-2.3.mp4	11.5 MB
00008-2.4.mp4	12.5 MB
00009-2.5. Probability - Why do we use a different formula.mp4	16.3 MB
00010-2.6.mp4	19.6 MB
00011-2.7.mp4	13.6 MB
00012-2.8.mp4	15.2 MB
00013-Lottery - additional 0.mp4	13.4 MB
00014-2.10 Summary 30.04.mp4	11.4 MB
00015-2.11.mp4	259.1 MB
00016-3.1.mp4	15.4 MB
00017-3.2 (Exclute - Exclude).mp4	15.2 MB
00018-3.3.mp4	11.1 MB
00019-3.4.mp4	20.3 MB
00020-3.5.mp4	10.2 MB
00021-3.6.mp4	12.0 MB
00022-3.7.mp4	15.5 MB
00023-Law of Total Probability.mp4	11.5 MB
00024-Additive Law - table fixed.mp4	9.1 MB
00025-3.9.mp4	16.0 MB
00026-3.10 Bayes Rule.mp4	22.0 MB
00027-Bayesian (12.09).mp4	47.4 MB
00028-4.1 An overview of distributions.mp4	20.5 MB
00029-4.2 18.07.mp4	25.5 MB
00030-4.3..mp4	8.6 MB
00031-4.4..mp4	9.3 MB
00032-4,5.mp4	11.7 MB
00033-4.6 np.mp4	20.3 MB
00034-4.7 19.07.mp4	17.3 MB
00035-4.8 18.07.mp4	21.1 MB
00036-4.9 Normal Distribution-1080 FINAL.mp4	87.4 MB
00037-4.9.1..mp4	15.6 MB
00038-4.10.mp4	10.6 MB
00039-4.11.mp4	10.2 MB
00040-4.12 Exponential Distribution-with LOGO.mp4	71.8 MB
00041-4.13 Logistic Distribution with LOGO.mp4	91.3 MB
00042-Dist attempt 2.mp4	76.4 MB
00043-5.1 Tie-ins to Finance-1080p-FINAL.mp4	192.8 MB
00044-5.2 Statistics-1080p-FINAL.mp4	151.3 MB
00045-5.3 Data Science-1080p-FINAL.mp4	132.6 MB
/Module-01/05-Statistics/
00001-3. statistics.mp4	29.9 MB
00001-4.10. Hypothesis testing.mp4	55.5 MB
00002-1.2. Population and sample.mp4	72.9 MB
00003-2.1. Types of data_new.mp4	84.3 MB
00004-2.2. Levels of measurement.mp4	54.4 MB
00005-2.3. Categorical variables. Visualization techniques.mp4	12.9 MB
00006-2.4. Numerical variables. Frequency distribution table.mp4	22.2 MB
00007-2.5. The histogram.mp4	12.6 MB
00008-2.6. Cross table and scatter plot.mp4	33.6 MB
00009-2.7. Mean, median, mode.mp4	32.8 MB
00010-2.8. Skewness.mp4	17.5 MB
00011-2.9. Variance.mp4	46.6 MB
00012-2.10. Standard deviation and coefficient of variation.mp4	39.4 MB
00013-2.11. Covariance.mp4	25.2 MB
00014-2.12. Correlation.mp4	27.2 MB
00015-2.13. Practical example.mp4	129.0 MB
00016-3.1. Introduction.mp4	18.2 MB
00017-3.2. What is a distribution.mp4	67.4 MB
00018-3.3. The normal distribution.mp4	35.6 MB
00019-3.4. The standard normal distribution.mp4	20.5 MB
00020-3.5. The central limit theorem.mp4	74.0 MB
00021-3.6. Standard error.mp4	24.4 MB
00022-3.7. Estimators and estimates.mp4	63.8 MB
00023-3.8. What is a confidence interval.mp4	60.1 MB
00024-3.9. Population variance known, z-score.mp4	63.5 MB
00025-3.9_1. Confidence interval clarifications.mp4	54.7 MB
00026-3.10. Student's T Distribution.mp4	39.8 MB
00027-3.11. Population variance unknown, t-score.mp4	10.3 MB
00028-3.12. Margin of error.mp4	18.5 MB
00029-3.13. Confidence intervals. Two means. Dependent samples.mp4	59.8 MB
00030-3.14. Confidence intervals. Two means. Independent samples (Part1).mp4	21.6 MB
00031-3.15. Confidence intervals. Two means. Independent samples (Part2).mp4	21.8 MB
00032-3.16. Confidence intervals, ind samp, var unkn assumed diff.mp4	22.6 MB
00033-3.17. Practical example_Al bundy.mp4	72.5 MB
00034-4.1. Null vs alternative.mp4	91.4 MB
00035-4.2. Rejection region and significance level.mp4	111.5 MB
00036-4.3. Type I error vs Type II error.mp4	40.6 MB
00037-4.4. Test for the mean. Population variance known.mp4	45.6 MB
00038-4.5. P-value.mp4	86.8 MB
00039-4.6. Test for the mean. Population variance unknown.mp4	35.5 MB
00040-4.7. Test for the mean. Dependent samples.mp4	43.3 MB
00041-4.8. Test for the mean. Independent samples (Part1).mp4	26.6 MB
00042-4.9. Test for the mean. Independent samples (Part2).mp4	32.7 MB
00043-4.10. Hypothesis testing.mp4.part	21.0 MB
/Module-01/06-Mathematics/
00001-2.1. What is a matrix.mp4	34.6 MB
00002-2.2. Scalars and vectors.mp4	30.3 MB
00003-2.3. Linear algebra and geometry.mp4	48.1 MB
00004-2.4. Scalars, vectors, and matrices in Python.mp4	25.4 MB
00005-2.5. Tensors.mp4	20.6 MB
00006-2.6. Addition and subtraction.mp4	37.0 MB
00007-2.7. Errors when adding matrices.mp4	9.6 MB
00008-2.8. Transpose of a matrix.mp4	36.7 MB
00009-2.9. Dot product.mp4	23.1 MB
00010-2.10. Dot product of matrices.mp4	51.4 MB
00011-2.12. Why is linear algebra useful.mp4	128.6 MB
/Module-01/07-Tableau/
00001-8. Tableau.mp4	29.9 MB
00002-Tableau - Why Use Tableau Make Your Data Make an Impact.mp4	25.7 MB
00003-Tableau - Let's Download Tableau Public.mp4	11.1 MB
00004-3. Tableau - Connecting data - corrected.mp4	5.0 MB
00005-Tableau - Exploring Tableau's Interface.mp4	33.9 MB
00006-Tableau - Let's Create our first Chart in Tableau!.mp4	33.8 MB
00007-Tableau - Duplicating a Sheet.mp4	11.5 MB
00008-Tableau - Creating a Table.mp4	17.4 MB
00009-Tableau - Creating Custom Fields.mp4	9.5 MB
00010-Tableau - Creating a Custom Field and Adding Calculations to a Table.mp4	15.8 MB
00011-Tableau - Adding Totals and Subtotals.mp4	9.1 MB
00012-Tableau - Adding a Custom Calculation.mp4	15.7 MB
00013-Tableau - Inserting a Filter.mp4	12.0 MB
00014-Tableau - Working with Joins in Tableau.mp4	20.2 MB
00015-Introduction to the exercise.mp4	10.0 MB
00016-Building a Tableau dashboard Three types of charts you want to have in a Tableau dashboard.mp4	7.9 MB
00017-Tableau - Using Joins in Tableau.mp4	20.2 MB
00018-Tableau - Performing a Numbers Check - Attempt #1.mp4	14.3 MB
00019-Tableau - Blending Data in Tableau.mp4	19.9 MB
00020-Tableau - Performing a Numbers Check - Attempt #2.mp4	13.8 MB
00021-Tableau - First chart.mp4	14.7 MB
00022-Tableau - Second chart.mp4	10.5 MB
00023-Tableau - Third Chart.mp4	9.8 MB
00024-Tableau - Creating and Formatting a Dashboard.mp4	18.2 MB
00025-Tableau - Adding Interactive Filters for Improved Analysis.mp4	15.5 MB
00026-Tableau - filter- DS logo.mp4	8.6 MB
/Module-01/08-PowerBI/
00001-WDTCC - final with screen.mp4	74.9 MB
00002-1.1..mp4	60.6 MB
00003-1.2..mp4	9.2 MB
00004-1.3..mp4	4.8 MB
00005-2.1.new.mp4	17.7 MB
00006-2.2. new.mp4	24.6 MB
00007-2.3.final.mp4	6.8 MB
00008-3.0..mp4	37.7 MB
00009-3.1..mp4	8.6 MB
00010-3.2.mp4	9.5 MB
00011-3.3.mp4	27.1 MB
00012-3.4.mp4	11.8 MB
00013-3.5.final.mp4	23.6 MB
00014-3.6..mp4	5.9 MB
00015-3.7..mp4	5.7 MB
00016-3.8.mp4	13.6 MB
00017-3.9.mp4	20.8 MB
00018-3.10.mp4	10.3 MB
00019-а.3.1..mp4	23.4 MB
00020-a.3.2..mp4	19.9 MB
00021-4.1..mp4	13.3 MB
00022-4.2..mp4	12.4 MB
00023-4.3..mp4	4.4 MB
00024-4.4..mp4	13.6 MB
00025-4.5..mp4	13.8 MB
00026-4.6..mp4	7.4 MB
00027-4.7.mp4	9.0 MB
00028-4.8.mp4	21.2 MB
00029-4.9.mp4	16.8 MB
00030-4.10..mp4	10.2 MB
00031-4.11.1.mp4	21.8 MB
00032-4.11.2.mp4	29.3 MB
00033-4.12.mp4	9.6 MB
00034-4.13..mp4	16.3 MB
00035-4.14.mp4	19.2 MB
00036-4.15.mp4	23.0 MB
00037-4.16.mp4	20.1 MB
00038-4.17.mp4	37.9 MB
00039-a.4.1..mp4	20.5 MB
00040-a.4.2..mp4	25.0 MB
00041-a.4.3..mp4	20.5 MB
00042-S. 5, Pt. 1.mp4	8.1 MB
00043-S. 5, Pt. 2.mp4	10.1 MB
00044-S. 5, L. 3.mp4	23.6 MB
00045-S. 5, L. 4.mp4	25.0 MB
00046-S. 5, L. 5.mp4	23.3 MB
00047-S. 5, L. 6.mp4	14.7 MB
00048-5.7..mp4	12.9 MB
00049-S. 5, L. 8.mp4	13.3 MB
00050-5.9.mp4	20.5 MB
00051-5.10.mp4	34.4 MB
00052-5.11.mp4	15.9 MB
00053-5.12.mp4	10.0 MB
00054-5.13.mp4	16.6 MB
00055-5.14 project.mp4	14.2 MB
00056-a.5.1..mp4	7.0 MB
00057-a.5.2..mp4	5.8 MB
00058-a.5.3..mp4	15.2 MB
00059-a.5.4..mp4	18.7 MB
00060-6.1..mp4	7.1 MB
00061-T.6, Pt. 2.mp4	19.6 MB
00062-T.6, Pt. 3.mp4	13.6 MB
00063-6.4..mp4	17.1 MB
00064-T.6, Pt. 5 project.mp4	18.6 MB
00065-T. 6, Pt. 6 project.mp4	15.4 MB
00066-6.7..mp4	13.0 MB
00067-T. 6, Pt. 8.mp4	34.8 MB
00068-T. 6, Pt. 9.mp4	8.4 MB
00069-T. 6, Pt. 10.mp4	17.5 MB
00070-T. 6, Pt. project.mp4	21.4 MB
00071-T. 6, Pt. 12.mp4	21.9 MB
00072-T. 6, Pt. 13.mp4	16.5 MB
00073-6.14..mp4	32.8 MB
00074-7.1.new.mp4	8.0 MB
00075-7.2..mp4	20.3 MB
/Module-02/01-SQL/
00001-6. SQL.mp4	33.7 MB
00002-1.2 Why SQL.tsc365_dsproj.mp4	39.9 MB
00003-1.3 Why MySQL_365_ds.mp4	18.7 MB
00004-1.4 Introduction to Databases_365ds.mp4	60.1 MB
00005-2.1 SQL as a declarative language_365_ds.mp4	28.2 MB
00006-2.2 DDL_365_ds.mp4	24.1 MB
00007-2.3 Keywords_365_ds.mp4	4.7 MB
00008-2.4 DML_365_ds.mp4	28.0 MB
00009-2.5 DC_365_dsL.mp4	33.1 MB
00010-2.6 TCL_365ds.mp4	19.4 MB
00011-3.1 Relational Database Essentials_365ds.mp4	59.9 MB
00012-3.2 Databases vs. Spreadsheets_365ds.mp4	90.9 MB
00013-3.3 Database Terminology_365ds.mp4	51.0 MB
00014-3.4 Rel Schemas - Primary Key_365ds.mp4	30.0 MB
00015-3.5 Rel Schemas Foreign Key_365ds.mp4	31.2 MB
00016-3.6 Rel Schemas Unique Keys Null Value_365dss.mp4	18.1 MB
00017-3.7 Relationships_365ds.mp4	27.9 MB
00018-4.1 Installing MySQL_365ds.mp4	73.6 MB
00019-4.2 Setting Up a Connection_365ds.mp4	19.3 MB
00020-4.2.2 nativeuser creation_365ds.mp4	47.6 MB
00021-4.3 Introduction to the MySQL Interface_new_365ds.mp4	35.4 MB
00022-5.1 Creating a Database - Part I_365ds.mp4	28.0 MB
00023-5.2 Creating a Database - Part II 365_ds.mp4	7.2 MB
00024-5.3 Introduction to Data Types_365ds.mp4	11.7 MB
00025-5.4 String Data Types_365ds.mp4	25.0 MB
00026-5.5 Integers_365ds.mp4	27.4 MB
00027-5.6 Fixed Floating Data Types_365ds.mp4	34.2 MB
00028-5.7 Other Useful Data Types_365ds.mp4	31.4 MB
00029-5.8 Creating a Table 365_ds.mp4	15.2 MB
00030-5.9 Using Databases and Tables 365_ds.mp4	9.4 MB
00031-5.10 Additional Notes on Using Tables 365_ds.mp4	7.7 MB
00032-6.1 PRIMARY KEY Constraint_365ds.mp4	25.6 MB
00033-6.2.1 FOREIGN KEY Constraint - Part I_365ds.mp4	23.5 MB
00034-6.2.2 FOREIGN KEY Constraint - Part II.mp4	32.1 MB
00035-6.3 UNIQUE Constraint_365ds.mp4	25.2 MB
00036-6.4 DEFAULT Constraint_365ds.mp4	27.8 MB
00037-6.5 NOT NULL Constraint - Part I_365ds.mp4	32.3 MB
00038-6.6 NOT NULL Constraint - Part II_365ds.mp4	9.8 MB
00039-7.1 Coding Techniques and Best Practices - Part I_365ds.mp4	24.2 MB
00040-7.2 Coding Tips and Best Practices - II_365ds.mp4	20.4 MB
00041-8.0 Loading the 'employees' Database_365ds.mp4	12.8 MB
00042-8.1 SELECT... FROM..._365ds.mp4	23.4 MB
00043-8.2 WHERE_365ds.mp4	12.9 MB
00044-8.3 AND_365ds.mp4	10.1 MB
00045-8.4 OR_365ds.mp4	18.9 MB
00046-8.5 Operator Precedence_365ds.mp4	18.5 MB
00047-8.6 IN - NOT IN_365ds.mp4	17.9 MB
00048-8.7 LIKE - NOT LIKE_365ds.mp4	21.6 MB
00049-8.8 Wildcard Characters_365ds.mp4	8.4 MB
00050-8.9 BETWEEN... AND..._365ds.mp4	10.7 MB
00051-8.10 IS NOT NULL - IS NULL_365ds.mp4	8.7 MB
00052-8.11 Other Comparison Operators_365ds.mp4	24.5 MB
00053-8.12 SELECT DISTINCT_365ds.mp4	9.9 MB
00054-8.14 ORDER BY_365ds.mp4	23.8 MB
00055-8.13 Introduction to Aggregate Functions_365ds.mp4	26.7 MB
00056-8.15 GROUP BY_365ds.mp4	32.9 MB
00057-8.16 Using Aliases (AS)_365ds.mp4	12.5 MB
00058-8.17 HAVING_365ds.mp4	20.0 MB
00059-8.18 WHERE vs HAVING - Part I_365ds.mp4	21.7 MB
00060-8.19 WHERE vs HAVING - Part II_365ds.mp4	14.8 MB
00061-8.20 LIMIT_365ds.mp4	28.7 MB
00062-9.1 The INSERT Statement - Part I_365ds.mp4	31.6 MB
00063-9.2 The INSERT Statement - Part II_365ds.mp4	14.9 MB
00064-9.3 Inserting Data INTO a New Table.mp4	21.1 MB
00065-10.0 TCL's COMMIT and ROLLBACK_365ds.mp4	16.9 MB
00066-10.1 The UPDATE Statement - Part I_365ds.mp4	17.4 MB
00067-10.2 The UPDATE Statement - Part II_365ds.mp4	16.5 MB
00068-11.1 The DELETE Statement - Part I_365ds.mp4	22.8 MB
00069-11.2 The DELETE Statement - Part II_365am.mp4	7.9 MB
00070-11.3 DROP vs TRUNCATE vs DELETE_365ds.mp4	15.7 MB
00071-BI SQL 12.1 COUNT()_365ds.mp4	18.9 MB
00072-12.2 SUM()_365ds.mp4	6.7 MB
00073-12.3 MIN() and MAX()_365ds.mp4	6.5 MB
00074-12.4 AVG()_365ds.mp4	8.9 MB
00075-12.5 ROUND()_365ds.mp4	10.6 MB
00076-12.7 IFNULL() and COALESCE()_365ds.mp4	35.4 MB
00077-12.8 Another Example of Using COALESCE()_365ds.mp4	8.0 MB
00078-13.1 Introduction to Joins_365ds.mp4	26.6 MB
00079-13.2 INNER JOINs - Part I_365ds.mp4	26.8 MB
00080-13.3 INNER JOIN - Part II_365ds.mp4	39.4 MB
00081-13.4 A Note on Using Joins_365ds.mp4	24.0 MB
00082-13.5 Duplicate Records_365ds.mp4	27.6 MB
00083-13.6 LEFT JOIN - Part I_365ds.mp4	29.6 MB
00084-13.7 LEFT JOIN - Part II_365ds.mp4	32.1 MB
00085-13.8 RIGHT JOIN_365ds.mp4	14.7 MB
00086-13.9 The New and the Old Join Syntax_365ds.mp4	19.5 MB
00087-13.10 JOIN and WHERE Used Together_365ds.mp4	14.0 MB
00088-13.10.1 CROSS JOIN_temp_365ds.mp4	42.7 MB
00089-13.11 Using Aggr Fcts and Joins_365ds.mp4	13.7 MB
00090-13.12 JOIN More Than Two Tables in SQL_365ds.mp4	16.9 MB
00091-13.13 Tips and Tricks for Joins_365ds.mp4	29.0 MB
00092-13.14 UNION vs UNION ALL_365ds.mp4	28.3 MB
00093-13.15 Subqueries - IN - WHERE 365_ds.mp4	15.5 MB
00094-13.16 Subqueries - EXISTS - WHERE_365ds.mp4	12.8 MB
00095-13.17 Subqueries SELECT FROM_365ds.mp4	44.4 MB
00096-13.18 SQL Self Join_365ds.mp4	45.1 MB
00097-13.19 Using SQL Views_365ds.mp4	38.0 MB
00098-14.1 Introduction to Stored Routines_365ds.mp4	19.9 MB
00099-14.2 Syntax St Procedures_365ds.mp4	23.4 MB
00100-14.3 St Procedures - Example - Part I_365ds.mp4	15.5 MB
00101-14.4 St Procedures - Example - Part II_365ds.mp4	24.3 MB
00102-14.5 Another Way to Create a Procedure_365ds.mp4	18.5 MB
00103-14.6 St Procedures with an Input Parameter_365ds.mp4	37.1 MB
00104-14.7 St Procedures with an Output Parameter_365ds.mp4	19.1 MB
00105-14.8 Variables_365ds.mp4	33.6 MB
00106-14.9 User-Defined Functions in MySQL.mp4	28.2 MB
00107-14.10 Stored Routines - Conclusion_365ds.mp4	17.1 MB
00108-15.1 MySQL Variables - Local Variables_365ds.mp4	25.5 MB
00109-15.2 Session Variables_365ds.mp4	24.6 MB
00110-15.3 Global Variables_365ds.mp4	10.3 MB
00111-15.4 User-Defined vs System Variables_365ds.mp4	23.8 MB
00112-15.6 MySQL Indexes_365ds.mp4	38.4 MB
00113-15.7 The CASE Statement_365ds.mp4	31.4 MB
/.../02-SQL_+_Tableau/
00001-9. SQL and Tableau.mp4	39.2 MB
00002-0.1 Introduction to software integration.mp4	39.8 MB
00003-0.2 Combining SQL and Tableau_bi.mp4	30.3 MB
00004-16.3 Installing Tableau Public_365ds.mp4	20.6 MB
00005-SQL Tableau - Loading the Database.mp4	17.9 MB
00006-SQL Tableau - Problem 1 Task.mp4	18.3 MB
00007-SQL Tableau - Problem 1 Solution in SQL.mp4	19.4 MB
00008-SQL Tableau - Export and Load CSV.mp4	14.4 MB
00009-SQL Tableau - Chart 1 Visualization Pt I.mp4	20.7 MB
00010-SQL Tableau - Chart 1 Visualization Pt II.mp4	23.2 MB
00011-SQL Tableau - Problem 2 Task.mp4	15.1 MB
00012-SQL Tableau - Problem 2 Solution in SQL.mp4	17.2 MB
00013-SQL Tableau - Chart 2 Visualization.mp4	25.6 MB
00014-SQL Tableau - Problem 3 Task.mp4	7.5 MB
00015-SQL Tableau - Problem 3 Solution in SQL.mp4	16.1 MB
00016-SQL Tableau - Chart 3 Visualization.mp4	17.9 MB
00017-SQL Tableau - Problem 4 Task.mp4	11.9 MB
00018-SQL Tableau - Problem 4 Solution in SQL.mp4	14.6 MB
00019-SQL Tableau - Chart 4 Visualization.mp4	11.2 MB
00020-SQL Tableau - Problem 5 Organizing Charts 1-4 into a Dashboard.mp4	24.7 MB
/.../03-Introduction_to_Python/
00001-4. python.mp4	42.6 MB
00002-Introduction to Python - Programming Explained in 5 Minutes.mp4	28.2 MB
00003-Introduction to Python - Why Python.mp4	28.1 MB
00004-Introduction to Python - Why Jupyter.mp4	16.0 MB
00005-Introduction to Python - Installing Python and Jupyter.mp4	31.8 MB
00006-Introduction to Python - Jupyter's Interface - The Dashboard.mp4	7.1 MB
00007-Introduction to Python - Jupyter's Interface - Prerequisites for Coding.mp4	15.1 MB
00008-Introduction to Python - Python 2 vs Python 3.mp4	6.1 MB
00009-Introduction to Python - Variables.mp4	9.6 MB
00010-Introduction to Python - Numbers and Boolean Values.mp4	8.0 MB
00011-Introduction to Python - Strings.mp4	30.4 MB
00012-Introduction to Python - Arithmetic Operators.mp4	9.3 MB
00013-Introduction to Python - The Double Equality Sign.mp4	3.3 MB
00014-Introduction to Python - Reassign Values.mp4	2.1 MB
00015-Introduction to Python - Add Comments.mp4	7.4 MB
00016-Introduction to Python - Line Continuation.mp4	1.4 MB
00017-Introduction to Python - Indexing Elements.mp4	3.1 MB
00018-Introduction to Python - Structure Your Code with Indentation.mp4	8.5 MB
00019-Introduction to Python - Comparison Operators.mp4	5.0 MB
00020-Introduction to Python - Logical and Identity Operators.mp4	15.2 MB
00021-Introduction to Python - Introduction to the If Statement.mp4	15.3 MB
00022-Introduction to Python - Add an Else Statement.mp4	14.6 MB
00023-Introduction to Python - Else if, for Brief - Elif.mp4	32.4 MB
00024-Introduction to Python - A Note on Boolean Values.mp4	12.7 MB
00025-Introduction to Python - Defining a Function in Python.mp4	9.6 MB
00026-Introduction to Python - Creating a Function with a Parameter.mp4	22.5 MB
00027-Introduction to Python - Anotoher Way to Define a Function.mp4	15.0 MB
00028-Introduction to Python - Using a Function in Another Function.mp4	3.9 MB
00029-Introduction to Python - Combining Conditional Statements and Functions.mp4	8.0 MB
00030-Introduction to Python - Creating Functions Containing a Few Arguments.mp4	9.4 MB
00031-Introduction to Python - Notable Built-In Functions in Python.mp4	10.4 MB
00032-Introduction to Python - Lists.mp4	23.4 MB
00033-Introduction to Python - Help Yourself with Methods.mp4	21.6 MB
00034-Introduction to Python - List Slicing.mp4	14.4 MB
00035-Introduction to Python - Tuples.mp4	17.7 MB
00036-Introduction to Python - Dictionaries.mp4	27.7 MB
00037-Introduction to Python - For Loops.mp4	14.6 MB
00038-Introduction to Python - While Loops and Incrementing.mp4	23.2 MB
00039-Introduction to Python - Create Lists with the range() Function.mp4	16.2 MB
00040-Introduction to Python - Use Conditional Statements and Loops Together.mp4	17.5 MB
00041-Introduction to Python - All In - Conditional Statements, Functions, and Loops.mp4	5.1 MB
00042-Introduction to Python - Iterating over Dictionaries.mp4	18.7 MB
/.../04-Python_Programmer_Bootcamp/
00001-1. What does the course cover.mp4	230.4 MB
00002-2. Why code and why Python.mp4	731.6 MB
00003-2. Installing Python_v2.mp4	236.7 MB
00004-3. Introducing Spyder.mp4	285.0 MB
00005-4. Print function.mp4	279.5 MB
00006-5. The solution.mp4	26.2 MB
00007-5.1 Variables.mp4	52.0 MB
00008-5.2 Strings.mp4	40.9 MB
00009-5.3. Let's write a program.mp4	21.3 MB
00010-5.4. Q1.mp4	9.1 MB
00011-5.5. Q2.mp4	8.4 MB
00012-5.6. Q3.mp4	15.1 MB
00013-5.7. Q4.mp4	6.7 MB
00014-5.8. Q5.mp4	43.4 MB
00015-6.1_conditionals.mp4	260.2 MB
00016-6.2 Logical operators.mp4	16.6 MB
00017-6.3 Not true is false.mp4	15.0 MB
00018-6.4 IF statement.mp4	220.4 MB
00019-6.5 More on strings.mp4	285.8 MB
00020-6.6 More strings!.mp4	233.7 MB
00021-6.7 Practical challenge.mp4	124.3 MB
00022-7.1 Intro to For loops.mp4	74.9 MB
00023-7.2. more on variables.mp4	39.7 MB
00024-7.3. Lists.mp4	80.7 MB
00025-7.4. The power of lists and loops working together.mp4	137.1 MB
00026-7.5. Common list methods.mp4	18.5 MB
00027-7.6 While loops.mp4	54.4 MB
00028-7.7. Modulus.mp4	32.5 MB
00029-7.8 Practical challenge.mp4	117.5 MB
00030-8.1. Modules.mp4	50.0 MB
00031-8.2 Dictionaries.mp4	87.9 MB
00032-8.3. Zip function.mp4	14.4 MB
00033-8.4 More string methods.mp4	27.0 MB
00034-8.5. Tuples.mp4	13.6 MB
00035-8.6 More than 1 dimension.mp4	20.0 MB
00036-8.7 Import counters 1 of 2.mp4	219.4 MB
00037-8.8 Import counters 2 of 2.mp4	54.4 MB
00038-9.0.1_Files and functions.mp4	65.0 MB
00039-9.0.2 Appending to a file.mp4	16.3 MB
00040-9.0.3. Functions.mp4	83.1 MB
00041-9.0.4. Fibonacci in a function.mp4	24.9 MB
00042-9.0.5 Recursion.mp4	27.8 MB
00043-9.1.1 Objects.mp4	109.5 MB
00044-9.1.2 Class.mp4	10.8 MB
00045-9.1.3 _Init_.mp4	6.7 MB
00046-9.1.4 Class variables.mp4	8.9 MB
00047-9.1.5 Methods.mp4	16.3 MB
00048-9.1.6 Inheritance.mp4	19.6 MB
00049-9.1.7 Practical exercise 1.mp4	51.9 MB
00050-9.1.8 Practical exercise 2.mp4	5.8 MB
00051-9.2_general_tips.mp4	522.8 MB
00052-9.3.1_Big_O.mp4	263.2 MB
00053-9.3.2 O(n).mp4	77.1 MB
00054-9.3.3 O(n^2).mp4	95.8 MB
00055-9.3.4 O(n!).mp4	121.4 MB
00056-9.3.5 Summary.mp4	36.1 MB
00057-9.4.1.mp4	67.3 MB
00058-9.4.2 Caesar cipher.mp4	127.4 MB
00059-9.4.3 Jupyter notebook intro.mp4	17.9 MB
00060-9.4.4 Caesar cipher solution.mp4	52.9 MB
00061-9.4.5 Two sum.mp4	52.2 MB
00062-9.4.6 Two sum solution.mp4	104.9 MB
00063-9.4.7 Card class.mp4	10.1 MB
00064-9.4.8 Playing card class.mp4	22.0 MB
00065-9.4.9 Playing card class solution.mp4	13.7 MB
00066-9.5.1 Matplotlib.mp4	63.7 MB
00067-9.5.2 Random walk explanation.mp4	64.3 MB
00068-9.5.3 Simulating a random walk.mp4	41.4 MB
00069-9.5.4 Sierpinski triangle.mp4	94.5 MB
00070-9.5.5 Creating the triangle in Matplotlib.mp4	59.3 MB
00071-9.5.6 Python imaging library.mp4	33.4 MB
00072-9.6.1 Intro to stacks.mp4	209.8 MB
00073-9.6.2 Coding a stack in Python.mp4	37.4 MB
00074-9.6.3 Practical challenge - stacks.mp4	140.0 MB
00075-9.6.4 Hint on solving the challenge.mp4	47.3 MB
00076-9.6.5 Solving the stacks challenge.mp4	40.2 MB
00077-9.6.6 Towers of Hanoi.mp4	90.4 MB
00078-9.6.7 Some hints.mp4	105.2 MB
00079-9.6.8 Code for Tower of Hanoi.mp4	20.3 MB
00080-9.6.9 Enumerate sets and none.mp4	57.6 MB
00081-9.7.1.mp4	25.0 MB
00082-9.7.2 Linear search.mp4	78.0 MB
00083-9.7.3 Binary search.mp4	137.8 MB
00084-9.7.4 Insertion sort.mp4	194.5 MB
00085-9.8.1 Intro to cards and coins.mp4	85.4 MB
00086-9.8.2 Luhn's algorithm.mp4	35.5 MB
00087-9.8.3 Coins.mp4	74.9 MB
00088-9.8.4 Coins - Python code.mp4	58.4 MB
00089-9.9.1 Debugging.mp4	70.2 MB
00090-9.9.2 Beyond the PRINT function.mp4	60.9 MB
00091-9.9.3 Debugging in Spyder.mp4	32.0 MB
00092-9.9.4 A little more on strings.mp4	32.6 MB
00093-9.9.5 Regular expressions.mp4	57.6 MB
00094-9.9.6 More regular expressions.mp4	30.8 MB
00095-9.9.7 Type hints.mp4	29.5 MB
00096-10.0 Introduction to the project.mp4	110.6 MB
00097-10.1 Coin photographs.mp4	15.1 MB
00098-10.2 Introducing OpenCV.mp4	21.1 MB
00099-10.3 Starting to work with Visual Studio.mp4	23.5 MB
00100-10.4 Hough circle transform.mp4	35.4 MB
00101-10.5 Get circle radii.mp4	12.3 MB
00102-10.6 Get brightness values.mp4	15.6 MB
00103-10.7 Performing coin classification.mp4	18.8 MB
00104-10.8 Closing remarks.mp4	22.8 MB
00105-9.9.8 Farewell.mp4	194.1 MB
/.../05-Git_and_Github/
00001-GitHub_Intro.mp4	208.4 MB
00002-Installing Git.mp4	14.0 MB
00003-2. Configuring Git.mp4	30.0 MB
00004-3. Basic Commands.mp4	19.2 MB
00005-4. Exploring Git log.mp4	23.1 MB
00006-5. Git diff.mp4	6.8 MB
00007-6. Head.mp4	17.1 MB
00008-7. Making Corrections - Git resent.mp4	32.0 MB
00009-8. Branching.mp4	22.5 MB
00010-9. GitHub.mp4	20.6 MB
00011-10. Git Clone.mp4	13.2 MB
00012-11. Conclusion.mp4	112.3 MB
/.../06-Introduction_to_R_Programming/
00001-7. R.mp4	19.2 MB
00002-R Programming for Statistics and Data Science - Intro 2.0.mp4	78.6 MB
00003-2.1 R for Statistics and Data Science - Downloading and installing R and RStudio.mp4	29.3 MB
00004-2.2 R for Statistics and Data Science - Quick guide to the RStudio user interface.mp4	44.8 MB
00005-2.3 R for Statistics and Data Science - Changing the appearance of RStudio.mp4	13.1 MB
00006-2.4 R for Statistics and Data Science - Installing packages and using the library.mp4	58.9 MB
00007-3.1 R for Statistics and Data Science - Creating an object in R.mp4	31.3 MB
00008-3.2 R for Statistics and Data Science - Data types in R (Integers and doubles).mp4	28.0 MB
00009-3.3 R for Statistics and Data Science - Data types in R (Characters and logicals).mp4	21.6 MB
00010-3.4 R for Statistics and Data Science - Coercion rules in R.mp4	19.0 MB
00011-3.5 R for Statistics and Data Science - Functions in R.mp4	20.5 MB
00012-3.6 R for Statistics and Data Science - Functions and arguments.mp4	14.6 MB
00013-3.7 R for Statistics and Data Science - Building a function in R.mp4	52.6 MB
00014-3.8 R for Statistics and Data Science - Using the script vs. using the console.mp4	19.7 MB
00015-R Programming for Statistics and Data Science - Intro 4.0.mp4	92.3 MB
00016-4.1 R for Statistics and Data Science - Introduction to vectors.mp4	23.9 MB
00017-4.2 R for Statistics and Data Science - Vector recycling.mp4	10.0 MB
00018-4.3 R for Statistics and Data Science - Naming a vector.mp4	19.3 MB
00019-4.4 R for Statistics and Data Science - Getting help with R.mp4	51.9 MB
00020-4.5 R for Statistics and Data Science - Slicing and indexing a vector.mp4	42.1 MB
00021-4.6 R for Statistics and Data Science - Changing the dimensions of an object in R.mp4	30.6 MB
00022-5.1 R for Statistics and Data Science - Creating a matrix.mp4	39.8 MB
00023-5.2 R for Statistics and Data Science - Faster code - creating a matrix in a single line of code.mp4	18.9 MB
00024-5.3 R for Statistics and Data Science - Do matrices recycle.mp4	11.1 MB
00025-5.4 R for Statistics and Data Science - Indexing an element from a matrix.mp4	31.7 MB
00026-5.5 R for Statistics and Data Science - Slicing a matrix.mp4	24.5 MB
00027-5.6 R for Statistics and Data Science - Matrix arithmetic.mp4	49.3 MB
00028-5.7 R for Statistics and Data Science - Matrix operations.mp4	34.7 MB
00029-5.8_edited.mp4	24.4 MB
00030-5.9 R for Statistics and Data Science - Creating a factor in R.mp4	44.2 MB
00031-5.10 Lists in R.mp4	33.6 MB
00032-6.1.1 Relational operators in R.mp4	24.9 MB
00033-6.1.2 Logical operators in R.mp4	16.3 MB
00034-6.1.3 Logical operators and vectors.mp4	12.5 MB
00035-6.2.1 If else else-if statements.mp4	32.0 MB
00036-6.2.2 If else else-if keep-in-minds's.mp4	21.4 MB
00037-6.3 For loops in R.mp4	37.4 MB
00038-6.4 While loops in R.mp4	25.1 MB
00039-6.5 Repeat loops in R.mp4	21.3 MB
00040-6.6.1 Building a function in R 2.0.mp4	23.9 MB
00041-6.6.2 Building a function in R 2.0 Scoping.mp4	32.6 MB
00042-6.1 R for Statistics and Data Science - Creating a data frame.mp4	39.7 MB
00043-6.2 R for Statistics and Data Science - The Tidyverse package.mp4	29.3 MB
00044-6.3.1 R for Statistics and Data Science - Data import into R.mp4	21.7 MB
00045-6.3.2 R for Statistics and Data Science - Importing a CSV into R.mp4	28.4 MB
00046-6.3.3 R for Statistics and Data Science - Data export in R.mp4	20.7 MB
00047-6.4.1 R for Statistics and Data Science - Getting a sense of your data frame.mp4	28.7 MB
00048-6.4.2 R for Statistics and Data Science - Indexing and slicing a data frame in R.mp4	34.0 MB
00049-6.5 R for Statistics and Data Science - Extending a data frame in R.mp4	35.3 MB
00050-6.6 R for Statistics and Data Science - Dealing with missing data.mp4	35.3 MB
00051-R for Statistics and Data Science - Intro 7.0.mp4	110.8 MB
00052-7.1 R for Statistics and Data Science - Data transformation with R - the Dplyr package - Part I.mp4	39.5 MB
00053-7.2 R for Statistics and Data Science - Data transformation with R - the Dplyr package - Part II.mp4	25.0 MB
00054-7.3 R for Statistics and Data Science - Sampling data with the Dplyr package.mp4	12.9 MB
00055-7.4 R for Statistics and Data Science - Using the pipe operator.mp4	25.2 MB
00056-7.5 R for Statistics and Data Science - Tidying your data - gather() and separate().mp4	66.4 MB
00057-7.6 R for Statistics and Data Science - Tidying your data - unite() and spread().mp4	20.0 MB
00058-R for Statistics and Data Science - Intro 8.0.mp4	76.4 MB
00059-8.1 R for Statistics and Data Science - Intro to data visualisation.mp4	21.2 MB
00060-8.2 R for Statistics and Data Science - Intro to ggplot2.mp4	51.9 MB
00061-8.3 R for Statistics and Data Science - Variables revisited.mp4	30.2 MB
00062-8.4 R for Statistics and Programming - Building a histogram with ggplot2.mp4	52.2 MB
00063-8.5 R for Statistics and Data Science - Building a bar chart with ggplot2.mp4	41.0 MB
00064-8.6 R for Statistics and Data Science - Building a box and whiskers plot with ggplot2.mp4	43.4 MB
00065-8.7 R for Statistics and Data Science - Building a scatterplot with ggplot2.mp4	69.1 MB
00066-9.1 R for Statistics and Data Science - Population vs Sample.mp4	22.5 MB
00067-9.2 R forStatistics and Data Science - Mean, median, mode.mp4	34.5 MB
00068-9.3 R for Statistics and Data Science - Skewness.mp4	25.1 MB
00069-9.4 R for Statistics and Data Science - Variance, standard deviation, and coefficient of variability.mp4	35.4 MB
00070-9.5 R for Statistics and Data Science - Covariance and correlation.mp4	46.7 MB
00071-11.1 Distributions.mp4	84.6 MB
00072-11.2 Standard Error and Confidence Intervals.mp4	41.7 MB
00073-11.3 Hypothesis Testing.mp4	23.8 MB
00074-11.4 Type I and Type II errors.mp4	26.4 MB
00075-11.5 Test for the mean. Population variance known.mp4	39.7 MB
00076-11.6 The P-value.mp4	32.2 MB
00077-11.7 Test for the mean. Population variance unknown.mp4	34.7 MB
00078-11.8 Dependent samples_edited.mp4	40.2 MB
00079-11.9 Comparing two means. Independent samples.mp4	30.1 MB
00080-12.1 The Linear Regression Model.mp4	41.8 MB
00081-12.2 Correlation vs Regression.mp4	10.6 MB
00082-12.3 Geometrical Representation.mp4	6.8 MB
00083-12.4 Doing the Regression in R.mp4	26.0 MB
00084-12.5 How to interpret the regression table.mp4	38.2 MB
00085-12.6 Decomposition of variability.mp4	23.8 MB
00086-R for Statistics and Data Science - R Squared.mp4	32.7 MB
/.../01-Advanced-Statistical-Methods-in-Python/
00001-10. Advanced statistics.mp4	36.8 MB
00002-1.1. Introduction to Regression Analysis.mp4	16.1 MB
00003-1.2. The linear regression model.mp4	51.9 MB
00004-1.3. Correlation vs regression.mp4	12.7 MB
00005-1.4. Geometrical representation.mp4	6.2 MB
00006-1.5. Python packages relevant for this course.mp4	14.4 MB
00007-1.6. First regression in Python.mp4	34.2 MB
00008-1.7. Using Seaborn for graphs.mp4	11.2 MB
00009-1.8. Regression tables.mp4	33.3 MB
00010-1.9. Decomposition.mp4	30.0 MB
00011-1.10. OLS.mp4	24.1 MB
00012-1.11. R-squared.mp4	41.2 MB
00013-1.12. Multiple linear regression.mp4	25.0 MB
00014-1.13. Adjusted R-squared.mp4	39.6 MB
00015-1.14. F-test.mp4	11.2 MB
00016-1.15. OLS assumptions.mp4	16.4 MB
00017-1.16. Linearity.mp4	11.1 MB
00018-1.17. No endogeneity.mp4	31.1 MB
00019-1.18. A3_Normality_homoscedasticity.mp4	32.8 MB
00020-1.19. No autocorrelation.mp4	30.4 MB
00021-1.20. No multicollinearity.mp4	23.7 MB
00022-1.21. Dummy variables.mp4	44.8 MB
00023-1.22. Making predictions.mp4	18.6 MB
00024-x.1. What is sklearn.mp4	60.7 MB
00025-x.2.mp4	19.0 MB
00026-x.3.mp4	31.1 MB
00027-x.4.mp4	26.5 MB
00028-x.5. Multiple linear regression.mp4	15.9 MB
00029-x.6.mp4	24.3 MB
00030-x.7.mp4	26.9 MB
00031-x.8.mp4	10.0 MB
00032-x.9.mp4	35.6 MB
00033-x.10.mp4	32.1 MB
00034-x.11.mp4	21.0 MB
00035-x.12.mp4	19.3 MB
00036-x.13.mp4	37.5 MB
00037-x.14.mp4	88.9 MB
00038-x.15.mp4	38.1 MB
00039-x.16.mp4	21.6 MB
00040-x.17.mp4	45.2 MB
00041-x.18.mp4	56.8 MB
00042-2.1. Introduction to logistic regression.mp4	21.1 MB
00043-2.2. A simple example in Python.mp4	28.9 MB
00044-2.3. Logistic vs Logit model.mp4	58.7 MB
00045-2.4. How to build a logistic regression in Python.mp4	13.8 MB
00046-2.5. An invaluable programming tip.mp4	24.1 MB
00047-2.6. Understanding the tables.mp4	21.9 MB
00048-2.7. Interpreting the coefficients.mp4	22.7 MB
00049-2.8. Binary predictors.mp4	26.2 MB
00050-2.9. Assessing the accuracy of a model.mp4	24.3 MB
00051-2.10. The concept of overfitting.mp4	26.1 MB
00052-2.11. Testing the model.mp4	26.6 MB
00053-3.1. Introduction to Cluster analysis.mp4	36.9 MB
00054-3.2. Where is cluster analysis applied.mp4	69.5 MB
00055-3.3. Classification vs clustering.mp4	28.2 MB
00056-3.4. Math prerequisites.mp4	18.9 MB
00057-3.5. K-means clustering.mp4	31.3 MB
00058-3.6. World map clustering.mp4	41.6 MB
00059-3.7. Clustering categorical data.mp4	16.6 MB
00060-3.8. Selecting the number of clusters.mp4	42.8 MB
00061-3.9. Pros and cons of kmeans.mp4	33.4 MB
00062-3.10. Standardization.mp4	37.7 MB
00063-3.11. Clustering and regression.mp4	10.4 MB
00064-3.12. Market segmentation example.mp4	33.1 MB
00065-3.13. Market segmentation example_Part2.mp4	49.4 MB
00066-3.14. How is clustering useful.mp4	72.6 MB
00067-3.15. Types of clustering.mp4	36.1 MB
00068-3.16. The dendrogram.mp4	38.2 MB
00069-3.17. Heatmaps.mp4	29.7 MB
/.../02-Deep_Learning_with_TensorFlow/
00001-12. Machine learning.mp4	39.8 MB
00002-What does the course cover teachable.mp4	51.6 MB
00003-2.1. Introduction to neural networks.mp4	44.6 MB
00004-2.2. Training the model.mp4	28.1 MB
00005-2.3. Types of machine learning.mp4	42.8 MB
00006-2.4. The linear model.mp4	27.3 MB
00007-2.5. The linear model_multiple inputs.mp4	24.8 MB
00008-2.6. Linear model_ multiple inputs and multiple outputs.mp4	44.3 MB
00009-2.7. Graphical representation.mp4	23.0 MB
00010-2.8. The objective function.mp4	18.6 MB
00011-2.9. L2-norm loss.mp4	22.4 MB
00012-2.10. Cross-entropy loss.mp4	35.0 MB
00013-2.11. One-parameter gradient descent.mp4	59.1 MB
00014-2.12. N-parameter gradient descent.mp4	52.5 MB
00015-3.1. Setting up the environment - Do not skip, please!.mp4	8.3 MB
00016-3.2. Why Python and why Jupyter.mp4	36.3 MB
00017-3.3. Installing Anaconda.mp4	38.9 MB
00018-3.4 Jupyter Dashboard - Part 1.mp4	10.8 MB
00019-3.5 Jupyter Dashboard - Part 2.mp4	22.0 MB
00020-3.6. Installing the TensorFlow package.mp4	14.8 MB
00021-4.1. Outline.mp4	14.6 MB
00022-4.2. Generating the data (optional).mp4	24.9 MB
00023-4.3. Initializing the variables.mp4	21.4 MB
00024-4.4. Training the model.mp4	48.8 MB
00025-5.1. TensorFlow outline.mp4	46.8 MB
00026-5.2. TensorFlow Intro.mp4	20.2 MB
00027-5.3. Types of file formats used in TensorFlow.mp4	13.5 MB
00028-5.4. Laying down the model.mp4	29.1 MB
00029-5.5. Laying down the optimizers.mp4	22.5 MB
00030-5.6. Output.mp4	31.7 MB
00031-6.1. The layer.mp4	17.2 MB
00032-6.2. What is a deep net.mp4	34.2 MB
00033-6.3. Really understand deep nets.mp4	61.0 MB
00034-6.4. Why we need non-linearities.mp4	39.8 MB
00035-6.5. Activation functions.mp4	30.6 MB
00036-6.6. Softmax activation.mp4	26.2 MB
00037-6.7. Backpropagation.mp4	55.3 MB
00038-6.8. Backpropagation - intuition.mp4	25.6 MB
00039-8.1. Underfitting and overfitting.mp4	35.7 MB
00040-8.2. Underfitting and overfitting_classification.mp4	34.1 MB
00041-8.3. Train vs validation.mp4	39.3 MB
00042-8.4. Train vs validation vs test.mp4	32.8 MB
00043-8.5. N-fold cross validation.mp4	26.8 MB
00044-8.6. Early stopping - motivation and types.mp4	29.7 MB
00045-9.1. Initializaiton.mp4	27.4 MB
00046-9.2. Types of simple initializations.mp4	12.9 MB
00047-9.3. Xavier initialization.mp4	20.1 MB
00048-10.1. SGD&Batching.mp4	36.2 MB
00049-10.2. Local minima pitfalls.mp4	15.0 MB
00050-10.3. Momentum.mp4	19.9 MB
00051-10.4. Learning rate schedules.mp4	38.9 MB
00052-10.5. Learning rate schedules. A picture.mp4	11.5 MB
00053-10.6. Adaptive learning rate schedules.mp4	31.3 MB
00054-10.7. Adaptive moment estimation.mp4	30.5 MB
00055-11.1. Preprocessing.mp4	26.8 MB
00056-11.2. Basic preprocessing.mp4	11.6 MB
00057-11.3. Standardization.mp4	42.3 MB
00058-11.4. Dealing with categorical data.mp4	19.1 MB
00059-11.5. One hot vs binary.mp4	33.8 MB
00060-12.1.mp4	8.9 MB
00061-12.2. How to tackle the MNIST.mp4	32.4 MB
00062-12.3. MNIST - Importing libraries and data.mp4	13.3 MB
00063-12.4. MNIST_Outlining the model.mp4	47.2 MB
00064-12.5. MNIST - Declaring the loss.mp4	19.6 MB
00065-12.6. Accuracy of prediction.mp4	42.2 MB
00066-12.7. Early stopping and batching preparation.mp4	10.3 MB
00067-12.8. Optimization.mp4	35.7 MB
00068-12.9. Commenting on the results.mp4	55.3 MB
00069-13.1. The dataset.mp4	55.2 MB
00070-13.2. Outlining the solution.mp4	12.7 MB
00071-13.3. Balancing a dataset.mp4	47.1 MB
00072-13.4. Preprocessing the data.mp4	82.6 MB
00073-13.5. Creating the batching class.mp4	59.4 MB
00074-13.6. Outlining the model.mp4	48.5 MB
00075-13.7. Optimizing the algorithm.mp4	28.8 MB
00076-13.8. Running the code.mp4	20.9 MB
00077-13.9. Test.mp4	9.3 MB
00078-13.10. Homework.mp4	60.3 MB
00079-14.1. Summary.mp4	50.9 MB
00080-14.2. Whats more out there.mp4	18.4 MB
00081-14.3. An overview of CNNs.mp4	75.4 MB
00082-14.4. An overview of RNNs.mp4	28.7 MB
00083-14.5. Non-NN approaches.mp4	43.9 MB
/.../03-Deep_Learning_with_TensorFlow_2.0/
00001-3.1.mp4	6.7 MB
00002-3.2.mp4	36.4 MB
00003-3.3.mp4	32.9 MB
00004-3.4.mp4	9.7 MB
00005-3.5.mp4	21.4 MB
00006-3.6_new_edited.mp4	16.5 MB
00007-5.1.mp4	43.2 MB
00008-5.2.mp4	39.7 MB
00009-5.3.mp4	8.5 MB
00010-5.4.mp4	13.9 MB
00011-5.5.mp4	34.5 MB
00012-5.6.mp4	32.9 MB
00013-5.7.mp4	22.7 MB
00014-12.1.mp4	8.9 MB
00015-12.2.mp4	34.9 MB
00016-12.3.mp4	16.6 MB
00017-12.4.mp4	28.4 MB
00018-12.5.mp4	38.4 MB
00019-12.6.mp4	28.7 MB
00020-12.7.mp4	13.3 MB
00021-12.8.mp4	42.9 MB
00022-12.9.mp4	28.2 MB
00023-13.1.mp4	54.6 MB
00024-13.2.mp4	10.0 MB
00025-13.3.mp4	46.8 MB
00026-13.4.mp4	81.2 MB
00027-13.5.mp4	19.1 MB
00028-13.6.mp4	27.7 MB
00029-13.7.mp4	44.7 MB
00030-13.8.mp4	10.1 MB
/.../04-SQL_+_Tableau_+_Python/
00001-1.1 Integration Level 1.mp4	31.7 MB
00002-1.2 Integration Level 1.mp4	58.9 MB
00003-1.3 Integration Level 1.mp4	58.5 MB
00004-1.4 Integration Level 1.mp4	30.9 MB
00005-1.5 Integration Level 1.mp4	37.1 MB
00006-2.1 Integration Level 1.mp4	27.1 MB
00007-2.2 Integration Level 1.mp4	26.8 MB
00008-2.3 Integration Level 1.mp4	27.1 MB
00009-3.2 Integration Level 1.mp4	13.7 MB
00010-3.3 Integration Level 1.mp4	41.3 MB
00011-3.4 Integration Level 1.mp4	21.0 MB
00012-3.5 Integration Level 1.mp4	11.5 MB
00013-3.6 Integration Level 1.mp4	36.0 MB
00014-3.7 Integration Level 1.mp4	21.2 MB
00015-3.8 Integration Level 1.mp4	49.0 MB
00016-3.9 Integration Level 1.mp4	6.0 MB
00017-3.10 Integration Level 1.mp4	40.4 MB
00018-3.11 Integration Level 1.mp4	19.3 MB
00019-3.12 Integration Level 1.mp4	7.3 MB
00020-3.13 Integration Level 1.mp4	13.6 MB
00021-3.14 Integration Level 1.mp4	27.9 MB
00022-3.15 Integration Level 1.mp4	25.3 MB
00023-3.16 Integration Level 1.mp4	15.8 MB
00024-3.17 Integration Level 1.mp4	14.8 MB
00025-3.18 Integration Level 1.mp4	19.7 MB
00026-3.19 Integration Level 1.mp4	23.1 MB
00027-4.1 Integration Level 1.mp4	26.7 MB
00028-4.2 Integration Level 1.mp4	36.1 MB
00029-4.3 Integration Level 1.mp4	12.9 MB
00030-4.4 Integration Level 1.mp4	16.4 MB
00031-4.5 Integration Level 1.mp4	41.9 MB
00032-4.6 Integration Level 1.mp4	34.2 MB
00033-4.7 Integration Level 1.mp4	35.0 MB
00034-4.8 Integration Level 1.mp4	48.7 MB
00035-4.9 Integration Level 1.mp4	35.5 MB
00036-4.10 Integration Level 1.mp4	29.5 MB
00037-4.11 Integration Level 1.mp4	39.7 MB
00038-4.12 Integration Level 1.mp4	43.5 MB
00039-4.13 Integration Level 1.mp4	31.9 MB
00040-4.15 Integration Level 1.mp4	52.0 MB
00041-5.1 Integration Level 1.mp4	16.3 MB
00042-5.2 Integration Level 1.mp4	29.7 MB
00043-5.3 Integration Level 1.mp4	31.8 MB
00044-5.4 Integration Level 1.mp4	11.7 MB
00045-5.5 Integration Level 1.mp4	10.9 MB
00046-5.6 Integration Level 1.mp4	28.7 MB
00047-5.7 Integration Level 1.mp4	13.1 MB
00048-5.8 Integration Level 1.mp4	47.6 MB
00049-5.9 Integration Level 1.mp4	33.7 MB
00050-5.10 Integration Level 1.mp4	23.5 MB
00051-6.1 Integration Level 1.mp4	27.7 MB
00052-6.2 Integration Level 1.mp4	31.6 MB
00053-6.3 Integration Level 1.mp4	18.2 MB
/.../01-Credit_Risk_Modeling_in_Python/
00001-1.1. What is credit risk. Why is credit risk important.mp4	57.8 MB
00002-1.2. Expected loss (EL) and its components.mp4	48.3 MB
00003-1.3.mp4	16.2 MB
00004-1.4.mp4	31.1 MB
00005-1.5.mp4	33.8 MB
00006-2.1.mp4	2.0 MB
00007-2.2.mp4	9.8 MB
00008-2.3.mp4	8.2 MB
00009-2.4.mp4	4.3 MB
00010-2.5.mp4	9.3 MB
00011-2.6.mp4	3.5 MB
00012-3.1.mp4	14.7 MB
00013-3.2.mp4	20.1 MB
00014-4.1.mp4	16.9 MB
00015-4.2.mp4	31.1 MB
00016-4.4.mp4	19.8 MB
00017-4.5.mp4	9.8 MB
00018-5.1.mp4	12.5 MB
00019-5.2.mp4	12.9 MB
00020-5.3.mp4	16.5 MB
00021-5.4.mp4	13.5 MB
00022-5.5.mp4	21.3 MB
00023-5.6.mp4	18.4 MB
00024-5.7.mp4	17.0 MB
00025-5.8.mp4	23.8 MB
00026-5.9.mp4	18.6 MB
00027-5.10.mp4	36.5 MB
00028-5.12.mp4	20.4 MB
00029-5.13.mp4	15.2 MB
00030-5.14.mp4	39.9 MB
00031-5.16.mp4	37.8 MB
00032-5.18.mp4	12.3 MB
00033-6.1.mp4	21.3 MB
00034-6.2.mp4	16.4 MB
00035-6.3.mp4	9.5 MB
00036-6.4.mp4	43.8 MB
00037-6.5.mp4	11.9 MB
00038-7.1.mp4	21.1 MB
00039-7.2.mp4	26.4 MB
00040-7.3.mp4	24.4 MB
00041-8.1.mp4	13.9 MB
00042-8.2.mp4	42.1 MB
00043-8.3.mp4	15.4 MB
00044-8.4.mp4	7.7 MB
00045-8.5.mp4	31.1 MB
00046-9.1.mp4	11.1 MB
00047-9.2_new.mp4	55.1 MB
00048-9.3.mp4	34.5 MB
00049-10.1.mp4	18.9 MB
00050-10.2.mp4	14.6 MB
00051-10.3.mp4	14.7 MB
00052-11.1.mp4	9.2 MB
00053-11.2.mp4	17.7 MB
00054-11.3.mp4	12.9 MB
00055-11.4.mp4	8.2 MB
00056-11.5.mp4	15.4 MB
00057-11.6.mp4	10.1 MB
00058-11.7.mp4	9.7 MB
00059-12.1.mp4	18.5 MB
00060-12.2.mp4	10.9 MB
00061-13.1.mp4	47.8 MB
/.../02-Time_Series_Analysis_in_Python/
00001-1.1 for teachable (26.09).mp4	19.7 MB
00002-2.1.mp4	2.5 MB
00003-2.2.mp4	9.8 MB
00004-2.3.mp4	8.8 MB
00005-2.4.mp4	4.3 MB
00006-2.5.mp4	9.3 MB
00007-2.6.mp4	3.5 MB
00008-3.1 Introduction to Time Series Data (02.08).mp4	19.8 MB
00009-3.2 Notation for Time Series Data (02.08).mp4	4.5 MB
00010-3.3 Peculiarities (02.08).mp4	9.7 MB
00011-3.4 Loading the Data (24.09).mp4	5.4 MB
00012-3.5 Examining the Data (26.07).mp4	14.3 MB
00013-3.6 Plotting the Data (26.07).mp4	9.1 MB
00014-3.7 The QQ Plot (24.09).mp4	7.0 MB
00015-4.1 Transforming String inputs into DateTime Values (29.07).mp4	11.1 MB
00016-4.2 Using Dates as Indices (29.07).mp4	6.5 MB
00017-4.3 Setting the Frequency (10.10).mp4	7.1 MB
00018-4.4 Filling Missing Values (21.10).mp4	12.3 MB
00019-4.5 Adding and Removing Columns in a Data Frame (31.07).mp4	6.9 MB
00020-4.6 Splitting the Data (10.10).mp4	10.2 MB
00021-5.1 White Noise (02.08).mp4	19.9 MB
00022-5.2 Random Walk (07.08).mp4	14.2 MB
00023-5.3 Stationarity (02.08).mp4	8.0 MB
00024-5.4 Determining Weak Form Stationarity (09.08).mp4	16.3 MB
00025-5.5 Seasonality (20.08).mp4	15.6 MB
00026-5.6 Correlation Between Past and Present Values (02.08).mp4	5.0 MB
00027-5.7 The ACF (21.08).mp4	14.9 MB
00028-5.8 The PACF (21.08).mp4	12.5 MB
00029-6.1 Picking the Correct Model (02.08).mp4	8.5 MB
00030-7.1 The AR Model (02.08).mp4	18.6 MB
00031-7.2 Examining the ACF and PACF of Prices (26.08).mp4	15.6 MB
00032-7.3 Fitting an AR(1) Model for Index Prices (27.08).mp4	14.3 MB
00033-7.4 Fitting Higher Lag AR Models for Prices (02.09).mp4	27.6 MB
00034-7.5 Using Returns (24.09).mp4	15.7 MB
00035-7.6 Examining the ACF and PACF of Returns (03.09).mp4	7.5 MB
00036-7.7 Fitting an AR(1) Model for Index Returns (03.09).mp4	7.3 MB
00037-7.8 Fitting Higher Lag AR Models for Returns (04.09).mp4	14.5 MB
00038-7.9 Normalizing Values (24.09).mp4	18.2 MB
00039-7.10 Model Selection for Normalized Returns (04.09).mp4	8.8 MB
00040-7.11 Examining the AR Model Residuals (05.09).mp4	14.8 MB
00041-7.12 Unexpected Shocks from Past Periods (19.09).mp4	9.4 MB
00042-8.1 The MA Model (05.09).mp4	12.4 MB
00043-8.2 Fitting an MA(1) Model for Returns (05.09).mp4	11.2 MB
00044-8.3 Fitting Higher-Lag MA Models for Returns (05.09).mp4	26.2 MB
00045-8.4 Examining the MA Model Residuals for Returns (06.09).mp4	16.1 MB
00046-8.5 Model Selection for Normalized Returns (07.09).mp4	8.7 MB
00047-8.6 Fitting an MA(1) Model for Prices (07.09).mp4	14.1 MB
00048-8.7 Past Values and Past Errors (19.09).mp4	9.6 MB
00049-9.1 The ARMA Model (18.09).mp4	12.0 MB
00050-9.2 Fitting a Simple ARMA Model for Returns (08.09).mp4	12.8 MB
00051-9.3.0 Fitting a Higher-Lag ARMA Model for Returns - part 1 (08.09).mp4	23.0 MB
00052-9.3.1 Fitting a Higher-Lag ARMA Model for Returns - part 2 (08.09).mp4	18.4 MB
00053-9.3.2 Fitting a Higher-Lag ARMA Model for Returns - part 3 (08.09).mp4	20.4 MB
00054-9.4 Examinig the ARMA Model Residuals of Returns (08.09).mp4	23.8 MB
00055-9.5 ARMA for Prices (08.09).mp4	22.7 MB
00056-9.6 ARMA Models and Non-stationary Data (19.09).mp4	6.6 MB
00057-10.1 The ARIMA Model (19.09).mp4	19.6 MB
00058-10.2 Fitting a Simple ARIMA Model for Prices (24.09).mp4	18.9 MB
00059-10.3.1 Fitting a Higher Lag ARIMA Model for Prices - part 1 (11.09).mp4	16.3 MB
00060-10.3.2 Fitting a Higher Lag ARIMA Model for Prices - part 2 (11.09).mp4	18.7 MB
00061-10.4 Higher Levels of Integration (11.09).mp4	11.3 MB
00062-10.5 Using ARIMA Models for Returns (19.09).mp4	12.8 MB
00063-10.6 Outside Factors and the ARIMAX Model (11.09).mp4	10.8 MB
00064-10.7 (SARIMAX) (22.12).mp4	17.9 MB
00065-10.7 Predicting Stability (19.09).mp4	7.3 MB
00066-11.1 The ARCH Model (19.09).mp4	17.2 MB
00067-11.2 Volatility (19.09).mp4	11.5 MB
00068-11.3 A More Detailed Look of the ARCH Model (18.09).mp4	17.1 MB
00069-11.4 The arch_model Method(16.09).mp4	25.0 MB
00070-11.5 The Simple ARCH Model (16.09).mp4	23.0 MB
00071-11.6 Higher Lag ARCH Models (16.09).mp4	14.2 MB
00072-11.7 An ARMA Equivalent of the ARCH Model (19.09).mp4	5.7 MB
00073-12.1 The GARCH Model (19.09).mp4	9.7 MB
00074-12.2 The ARMA and the GARCH (19.09).mp4	7.4 MB
00075-12.3 The Simple GARCH Model (20.09).mp4	13.3 MB
00076-12.4 Higher-Lag GARCH Models (19.09).mp4	16.7 MB
00077-12.6 (18.12).mp4	7.5 MB
00078-13.1 (18.12).mp4	16.7 MB
00079-13.2 (04.12).mp4	5.6 MB
00080-13.3 (04.12).mp4	15.7 MB
00081-13.4 (10.12).mp4	31.8 MB
00082-13.5 (11.12).mp4	14.6 MB
00083-12.5 The Goal Behind Modeling (19.09).mp4	5.2 MB
00084-14.1 (11.12).mp4	22.6 MB
00085-14.2 (11.12).mp4	15.2 MB
00086-14.3 (19.12).mp4	17.5 MB
00087-14.4 (19.12).mp4	10.7 MB
00088-14.5(21.12).mp4	13.1 MB
00089-14.6 (21.12).mp4	20.8 MB
00090-14.7 (21.12).mp4	15.3 MB
00091-14.8 (22.12).mp4	25.4 MB
00092-15.1 (22.12).mp4	81.2 MB
/.../03-Customer_Analytics_in_Python/
00001-1.1.mp4	29.1 MB
00002-1.2.mp4	29.6 MB
00003-1.3.mp4	24.3 MB
00004-1.4.mp4	33.7 MB
00005-3.1.mp4	12.4 MB
00006-3.2.mp4	31.5 MB
00007-3.3.mp4	9.6 MB
00008-4.1.mp4	9.2 MB
00009-4.2.mp4	17.0 MB
00010-5.1.mp4	7.6 MB
00011-5.2..mp4	11.4 MB
00012-5.3.mp4	21.2 MB
00013-6.1.mp4	4.3 MB
00014-6.2.mp4	11.0 MB
00015-6.3.mp4	10.3 MB
00016-6.4.mp4	7.3 MB
00017-6.5.mp4	26.7 MB
00018-6.6.mp4	9.2 MB
00019-7.1.mp4	3.3 MB
00020-7.2.mp4	21.4 MB
00021-7.3.mp4	4.4 MB
00022-7.4.mp4	9.8 MB
00023-8.1.mp4	14.6 MB
00024-8.2.mp4	9.9 MB
00025-8.3.mp4	12.4 MB
00026-8.4.mp4	15.9 MB
00027-9.1.mp4	6.7 MB
00028-9.2.mp4	3.2 MB
00029-9.3.mp4	9.7 MB
00030-9.4.mp4	15.1 MB
00031-9.5.mp4	13.1 MB
00032-9.6.mp4	18.9 MB
00033-9.8.mp4	6.3 MB
00034-9.9..mp4	5.4 MB
00035-9.11-11-21-19.mp4	7.7 MB
00036-10.1.mp4	7.3 MB
00037-10.2.mp4	5.4 MB
00038-10.3.mp4	7.0 MB
00039-10.4.mp4	11.9 MB
00040-10.5.mp4	14.8 MB
00041-10.6.mp4	16.9 MB
00042-10.7.mp4	17.0 MB
00043-11.1.mp4	8.2 MB
00044-11.2.mp4	31.0 MB
00045-11.3.mp4	11.3 MB
00046-11.4.mp4	6.9 MB
00047-12.1.mp4	11.5 MB
00048-12.2.mp4	23.7 MB
00049-12.3.mp4	3.2 MB
00050-12.4. Balancing the dataset.mp4	46.8 MB
00051-12.5.mp4	32.0 MB
00052-12.6.mp4	8.9 MB
00053-12.7.mp4	28.3 MB
00054-12.8.mp4	16.4 MB
00055-12.9.mp4	17.9 MB
00056-12.10.mp4	4.6 MB
00057-12.11.mp4	19.4 MB
Total files 1174