Structured Thinking Resolving The Problem

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Files Included :

1 - Introduction.mp4 (93.73 MB)
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2 - Why Structured thinking is required.mp4 (74.32 MB)
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3 - 3 Who needs Structured Thinking.mp4 (78.49 MB)
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4 - 1 Instructor Introduction.mp4 (75.33 MB)
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5 - 2 Methodology.mp4 (18.09 MB)
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6 - 1 Case Study Problem Solving without Structured Thinking.mp4 (67.15 MB)
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7 - 2 Feedback on Case Study 1.mp4 (33.77 MB)
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8 - 3 Case Study Problem Solving using Structured Thinking.mp4 (252.36 MB)
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9 - 4 Feedback on Case Study 2.mp4 (46.91 MB)
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10 - 4 Role of Structured Thinking in Data Science Lifecycle.mp4 (11.13 MB)
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11 - 2 Structured Thinking at Each Stage of the Data Science Lifecycle.mp4 (52.69 MB)
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12 - 1 Importance of Defining the Problem Statement.mp4 (96.13 MB)
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13 - 2 5Step Framework.mp4 (19.09 MB)
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14 - 3 TOSCAR Framework for Defining a Problem.mp4 (133.93 MB)
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15 - 4 Examples using TOSCAR.mp4 (45.04 MB)
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16 - 5 Decomposition.mp4 (34.64 MB)
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17 - 6 Common Pitfalls to Avoid while Defining a Problem.mp4 (67.89 MB)
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18 - 7 Framing the Problem Statement for the Course.mp4 (52.17 MB)
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19 - 1 What is Hypothesis Building Framework.mp4 (20.54 MB)
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20 - 2 Why Hypothesis Building is Important and Who Should be Involved.mp4 (18.8 MB)
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21 - 3 How to Build a Comprehensive Hypothesis Set.mp4 (13.86 MB)
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22 - 4 Hypothesis Building Example.mp4 (40.22 MB)
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23 - 5 Best Practices Pitfalls.mp4 (22.27 MB)
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24 - 6 Building Hypothesis for this Courses Problem Statement.mp4 (30.43 MB)
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0 - 3 Target Variable Discovery.mp4 (13.27 MB)
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25 - 1 Mapping Data Elements to Hypothesis.mp4 (6.48 MB)
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26 - 2 Mapping Teams to Data Elements.mp4 (36.12 MB)
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27 - 3 Framework CASED.mp4 (45.76 MB)
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28 - 4 Data Pull and Clean.mp4 (35.29 MB)
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29 - 5 Validating Hypothesis.mp4 (35.12 MB)
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30 - 6 Summary.mp4 (4.9 MB)
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31 - 7 Link Back to Business Problem.mp4 (55.63 MB)
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