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Week-1Lecture 1: IntroductionLecture 1: Introduction - Lecture Notes3618 kb
Week-1Lecture 2: Analytics for Decision Making SupportLecture 2: Analytics for Decision Making Support-Lecture Notes3107 kb
Week-1Lecture 3: Decision Needs and AnalyticsLecture 3: Decision Needs and Analytics-Lecture Notes3719 kb
Week-1Lecture 4: Systems, Models and Modeling ProcessLecture 4: Systems, Models and Modeling Process-Lecture Notes2831 kb
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Week 3Week 3 Assignment 1Week 3 Assignment 1138 kb
Week 4Week 4 Assignment 1Week 4 Assignment 1171 kb
Week 5Week 5 Assignment 1Week 5 Assignment 1156 kb
Week 6Week 6 Assignment 1Week 6 Assignment 1364 kb
Week 7Week 7 Assignment 1Week 7 Assignment 1156 kb
Week 8Week 8 Assignment 1Week 8 Assignment 1138 kb


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Sl.No Chapter Name MP4 Download Transcript Download
1Lecture 1: IntroductionDownloadDownload
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2Lecture 2: Analytics for Decision Making Support DownloadDownload
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3Lecture 3: Decision Needs and AnalyticsDownloadDownload
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4Lecture 4: Systems, Models and Modeling ProcessDownloadDownload
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5Types of Models DownloadDownload
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6Data and its Types DownloadDownload
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7Overview of Probability DownloadDownload
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8Lecture 8: Statistics and Analytics (Private) DownloadDownload
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9Lecture 9: Descriptive Statistics – Graphical Tools (Private) DownloadDownload
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10Lecture 10: Frequency Distribution & HistogramDownloadDownload
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11Lecture 11: Stem and Leaf PlotDownloadDownload
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12Lecture 12: Box Plots DownloadDownload
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13Lecture 13: Business Intelligence & Analytics DownloadDownload
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14Lecture 14: Normal DistributionDownloadDownload
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15Lecture 15: SamplingDownloadDownload
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16Lecture 16: Sampling Techniques DownloadDownload
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17Lecture 17: Hypothesis TestingDownloadDownload
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18Lecture 18: Hypothesis Testing continued DownloadDownload
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19Lecture 19: Machine LearningDownloadDownload
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20Lecture 20: Correlation DownloadDownload
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21Lecture 21: Correlation continued DownloadDownload
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22Lecture 22: RegressionDownloadDownload
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23Lecture 23: Analysis of Varience (ANOVA) Part 1DownloadDownload
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24Lecture 24: Analysis of Varience (ANOVA) Part 2DownloadDownload
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25Lecture 25: Machine Learning Part 2DownloadDownload
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26Lecture 26: Machine Learning Part 3 DownloadDownload
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27Lecture 27: Machine Learning Part 4 DownloadDownload
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28Lecture 28: Machine Learning Part 5 DownloadDownload
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