| Stored files |
| "01-Introduction\1-Instructor_Introduction_and_CoPilot_for_Data_Science_Practical_Demo.mkv" | 416,542,580 | B4BE7C8B |
| "01-Introduction\2-Bootcamp_Outline_Key_Success_Tips.mkv" | 201,022,748 | 4C8AEDB4 |
| "01-Introduction\3-CoPilot_AI_Agents_101.mkv" | 139,152,788 | A770EDE6 |
| "02-Data_Wrangling_and_Analysis_with_CoPilot_GPT_5\10-Project_1_Task_1_Importing_Excel_Files_into_Pandas_DataFrames_with_CoPilot.mkv" | 340,592,993 | CAB200AD |
| "02-Data_Wrangling_and_Analysis_with_CoPilot_GPT_5\11-Project_1_Task_2_Locating_and_Handling_Missing_Datasets.mkv" | 301,793,084 | 6DD9626E |
| "02-Data_Wrangling_and_Analysis_with_CoPilot_GPT_5\12-Project_1_Task_3_Data_Merging_and_Concatenation_with_CoPilot.mkv" | 126,307,941 | 0846A054 |
| "02-Data_Wrangling_and_Analysis_with_CoPilot_GPT_5\13-Project_1_Task_4_Data_Analysis_Filtering_and_Sorting.mkv" | 188,415,893 | 6CE9BD67 |
| "02-Data_Wrangling_and_Analysis_with_CoPilot_GPT_5\14-Project_1_Task_5_Data_Visualization.mkv" | 262,501,086 | 936AAB3C |
| "02-Data_Wrangling_and_Analysis_with_CoPilot_GPT_5\15-Feature_Engineering_Techniques.mkv" | 362,402,833 | 69326970 |
| "02-Data_Wrangling_and_Analysis_with_CoPilot_GPT_5\16-Practical_Project_2_Task_1_Data_Loading_Imputation_Exploration.mkv" | 200,023,285 | 4C06D237 |
| "02-Data_Wrangling_and_Analysis_with_CoPilot_GPT_5\17-Practical_Project_2_Task_2_One_Hot_Encoding_Features_Scaling.mkv" | 126,859,506 | 6848AAFA |
| "02-Data_Wrangling_and_Analysis_with_CoPilot_GPT_5\18-Practical_Project_2_Task_3_Pandas_DataFrame_Filtering_Data_Visualization.mkv" | 116,176,776 | 9F1FB47F |
| "02-Data_Wrangling_and_Analysis_with_CoPilot_GPT_5\19-Practical_Project_3_Task_1_Project_Overview_GPT_5_Powerful_Features.mkv" | 118,975,828 | CD56631D |
| "02-Data_Wrangling_and_Analysis_with_CoPilot_GPT_5\20-Practical_Project_3_Task_2_Build_a_Data_Wrangling_AI_Agent_in_CoPilot.mkv" | 314,071,904 | 8FD41900 |
| "02-Data_Wrangling_and_Analysis_with_CoPilot_GPT_5\22-Practice_Opportunity_Solution_Part_1_Data_Wrangling_Feature_Engineering.mkv" | 161,977,143 | 13507B8C |
| "02-Data_Wrangling_and_Analysis_with_CoPilot_GPT_5\23-Practice_Opportunity_Solution_Part_2_Data_Wrangling_Feature_Engineering.mkv" | 120,967,060 | 96EAD153 |
| "02-Data_Wrangling_and_Analysis_with_CoPilot_GPT_5\6-Data_Wrangling_Analysis_Feature_Engineering_101.mkv" | 119,688,140 | 33EF6573 |
| "02-Data_Wrangling_and_Analysis_with_CoPilot_GPT_5\7-Prompt_Engineering_Top_5_Prompt_Engineering_Tips.mkv" | 195,938,290 | A797EE07 |
| "02-Data_Wrangling_and_Analysis_with_CoPilot_GPT_5\8-Prompt_Engineering_Techniques_Zero_Few_and_Chain_of_thought_Prompting.mkv" | 188,174,278 | 15EB3652 |
| "02-Data_Wrangling_and_Analysis_with_CoPilot_GPT_5\9-Pandas_Library_and_CoPilot_Integration.mkv" | 189,802,308 | 5F666B2F |
| "03-Data_Visualization_Storytelling_Using_Microsoft_CoPilot_Analyst_AI_Agents\25-Module_Agenda_Data_Visualization_Libraries_in_Python.mkv" | 197,830,985 | D5395D5C |
| "03-Data_Visualization_Storytelling_Using_Microsoft_CoPilot_Analyst_AI_Agents\26-Data_Visualization_Types.mkv" | 189,455,275 | 3B77225D |
| "03-Data_Visualization_Storytelling_Using_Microsoft_CoPilot_Analyst_AI_Agents\27-Project_1_Overview_World_Happiness_Report_Visualization_Storytelling.mkv" | 108,757,846 | 45BBC39B |
| "03-Data_Visualization_Storytelling_Using_Microsoft_CoPilot_Analyst_AI_Agents\28-Project_1_Part_A_Scatterplot_Best_Fit_Regression_Line_Bar_Chart.mkv" | 222,321,009 | E4B2CBB9 |
| "03-Data_Visualization_Storytelling_Using_Microsoft_CoPilot_Analyst_AI_Agents\30-Practice_Opportunity_Solution_Scatter_Bar_Regression_Line_Plots.mkv" | 181,782,152 | 7C057C93 |
| "03-Data_Visualization_Storytelling_Using_Microsoft_CoPilot_Analyst_AI_Agents\31-Project_1_Part_B_Correlation_Heatmaps_Pairplots_10_GPT_5_Visualizations.mkv" | 306,229,557 | 05110DAD |
| "03-Data_Visualization_Storytelling_Using_Microsoft_CoPilot_Analyst_AI_Agents\34-Project_2_Part_A_Walmart_Sales_Data_Visualization_Storytelling.mkv" | 226,317,447 | F4EEBED9 |
| "03-Data_Visualization_Storytelling_Using_Microsoft_CoPilot_Analyst_AI_Agents\35-Project_2_Part_B_Walmart_Sales_Data_Visualization_Storytelling.mkv" | 231,667,585 | C00484D9 |
| "03-Data_Visualization_Storytelling_Using_Microsoft_CoPilot_Analyst_AI_Agents\37-Practice_Opportunity_Solution_AI_Analyst_Agent.mkv" | 170,523,509 | 388A5F5C |
| "03-Data_Visualization_Storytelling_Using_Microsoft_CoPilot_Analyst_AI_Agents\39-Final_Project_Solution_Part_A_Cancer_Data_Visualization_Storytelling.mkv" | 176,038,765 | F7EE7128 |
| "03-Data_Visualization_Storytelling_Using_Microsoft_CoPilot_Analyst_AI_Agents\40-Final_Project_Solution_Part_B_Cancer_Data_Visualization_Storytelling.mkv" | 182,569,987 | E70BF693 |
| "04-Model_Development_and_Validation_Using_CoPilot_AI_Agents\44-Practical_Project_Overview_Build_a_Marketing_Predictor_AI_Agent_in_CoPilot.mkv" | 134,259,077 | 85E0E9BF |
| "04-Model_Development_and_Validation_Using_CoPilot_AI_Agents\45-ML_Classifier_Models_Comparison_Logistic_Regression_Random_Forest_SVM_..etc.mkv" | 178,935,716 | F4246C2A |
| "04-Model_Development_and_Validation_Using_CoPilot_AI_Agents\46-Classification_Models_KPIs_Confusion_Matrix.mkv" | 198,786,537 | E7F035FE |
| "04-Model_Development_and_Validation_Using_CoPilot_AI_Agents\49-Practical_Project_Build_AI_Agents_in_CoPilot_Part_1.mkv" | 219,508,498 | AFE2A944 |
| "04-Model_Development_and_Validation_Using_CoPilot_AI_Agents\50-Practical_Project_Build_AI_Agents_in_CoPilot_Part_2.mkv" | 133,904,277 | E567B14F |
| "04-Model_Development_and_Validation_Using_CoPilot_AI_Agents\51-Practical_Project_Build_AI_Agents_in_CoPilot_Part_3.mkv" | 178,687,782 | 192D4278 |
| "04-Model_Development_and_Validation_Using_CoPilot_AI_Agents\52-Practical_Project_Build_AI_Agents_in_CoPilot_Part_4.mkv" | 209,018,553 | 2F243E93 |
| "04-Model_Development_and_Validation_Using_CoPilot_AI_Agents\54-Practice_Opportunity_Solution_Part_A_Train_ML_Classifier_Models_in_CoPilot.mkv" | 281,518,418 | 7CAA8EF6 |
| "04-Model_Development_and_Validation_Using_CoPilot_AI_Agents\55-Practice_Opportunity_Solution_Part_B_Using_CoPilot_Analyst_AI_Agent.mkv" | 123,166,303 | 9C81290E |
| "05-Anomaly_Detection_Using_CoPilot_GPT_5\58-Introduction_to_Anomaly_Detection_and_Techniques_Overview.mkv" | 158,859,696 | C6B3A589 |
| "05-Anomaly_Detection_Using_CoPilot_GPT_5\59-Z_Score_Anomaly_Detection_Method.mkv" | 192,965,808 | 7EB902AB |
| "05-Anomaly_Detection_Using_CoPilot_GPT_5\60-Practical_Project_Part_A_Build_Anomaly_Detector_AI_Agent_in_CoPilot.mkv" | 202,379,430 | D76978AA |
| "05-Anomaly_Detection_Using_CoPilot_GPT_5\61-Practical_Project_Part_B_Build_Anomaly_Detector_AI_Agent_in_CoPilot.mkv" | 205,204,907 | DE0A4FD4 |
| "05-Anomaly_Detection_Using_CoPilot_GPT_5\62-Isolation_Forest_Algorithm.mkv" | 328,753,129 | 28DD30C4 |
| "05-Anomaly_Detection_Using_CoPilot_GPT_5\64-Practice_Opportunity_Solution_AI_Agent_for_Isolation_Forest_Anomaly_Detection.mkv" | 189,563,815 | 0E9A9053 |
| "06-Appendix_A_Machine_Learning_Data_Science_Fundamentals\66-Appendix_A.1_Simple_Linear_Regression_Math_101.mkv" | 161,434,223 | D26F190C |
| "06-Appendix_A_Machine_Learning_Data_Science_Fundamentals\67-Appendix_A.2_Least_Sum_of_Squares.mkv" | 237,112,004 | D5F44385 |
| "06-Appendix_A_Machine_Learning_Data_Science_Fundamentals\68-Appendix_A.3_Scikit_Learn.mkv" | 167,244,252 | 7A5277E3 |
| "06-Appendix_A_Machine_Learning_Data_Science_Fundamentals\69-Appendix_A.4_XGBoost_overview.mkv" | 661,571,054 | BD898E57 |
| "06-Appendix_A_Machine_Learning_Data_Science_Fundamentals\70-Appendix_A.5_Intro_to_XG_Boost.mkv" | 185,762,681 | 6E5DC519 |
| "06-Appendix_A_Machine_Learning_Data_Science_Fundamentals\71-Appendix_A.6_What_is_Boosting.mkv" | 226,792,798 | 796BB2D0 |
| "06-Appendix_A_Machine_Learning_Data_Science_Fundamentals\72-Appendix_A.7_Ensemble_Decision_Trees.mkv" | 272,828,865 | 3C020434 |
| "06-Appendix_A_Machine_Learning_Data_Science_Fundamentals\73-Appendix_A.8_Bias_Variance_Tradeoff.mkv" | 372,453,375 | 803E05B2 |
| "06-Appendix_A_Machine_Learning_Data_Science_Fundamentals\74-Appendix_A.9_L2_regularization_Ridge.mkv" | 240,273,437 | 2C74B889 |
| "06-Appendix_A_Machine_Learning_Data_Science_Fundamentals\75-Appendix_A.10_L1_regularization_Lasso.mkv" | 176,053,322 | 0DF5E736 |
| "07-Appendix_B_Data_Quality_and_Requirements_in_Data_Science\76-Appendix_B.1_Data_Strategy_and_Key_Components.mkv" | 231,406,884 | BDC1ED40 |
| "07-Appendix_B_Data_Quality_and_Requirements_in_Data_Science\77-Appendix_B.2_Data_Strategy_Components_Practical_Example.mkv" | 123,410,326 | 364C0C90 |
| "07-Appendix_B_Data_Quality_and_Requirements_in_Data_Science\78-Appendix_B.3_Defining_Data_Requirements_Part_1.mkv" | 179,128,456 | C9760E69 |
| "07-Appendix_B_Data_Quality_and_Requirements_in_Data_Science\79-Appendix_B.4_Defining_Data_Requirements_Part_2.mkv" | 117,173,451 | B0C7DCEF |
| "07-Appendix_B_Data_Quality_and_Requirements_in_Data_Science\80-Appendix_B.5_Defining_Data_Requirements_Part_3.mkv" | 280,690,332 | CDA34BD5 |
| "07-Appendix_B_Data_Quality_and_Requirements_in_Data_Science\81-Appendix_B.6_Data_Quality_Assessment.mkv" | 184,422,030 | C780354D |
| "07-Appendix_B_Data_Quality_and_Requirements_in_Data_Science\82-Appendix_B.7_Data_Labeling.mkv" | 195,133,424 | 0AA5D0FB |
| "07-Appendix_B_Data_Quality_and_Requirements_in_Data_Science\84-Appendix_B.9_Data_Governance_and_Security.mkv" | 239,401,678 | 729C039A |
| "08-Appendix_C_Microsoft_CoPilot_Additional_Optional_Materials\85-Appendix_C.1_Microsoft_CoPilot_Vs._Pro_Vs._Microsoft_365_CoPilot.mkv" | 175,032,450 | 9B767600 |
| "08-Appendix_C_Microsoft_CoPilot_Additional_Optional_Materials\86-Appendix_C.2_CoPilot_General_Use_Cases_Part_1.mkv" | 309,215,796 | 907F9FF8 |
| "08-Appendix_C_Microsoft_CoPilot_Additional_Optional_Materials\87-Appendix_C.3_CoPilot_General_Use_Cases_Part_2.mkv" | 388,799,677 | 4739CE17 |
| "08-Appendix_C_Microsoft_CoPilot_Additional_Optional_Materials\88-Appendix_C.4_Performing_Data_Wrangling_Using_Python_in_Excel.mkv" | 306,348,494 | A3391701 |
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