MIE1624H F LEC0101 20219:Introduction to Data Science and Analytics

MIE1624H F LEC0101 20219:Introduction to Data Science and Analytics

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Syllabus

Syllabus Syllabus

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Syllabus 506106  

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  Course Outline Course Outline       1

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Lectures

Lectures Lectures

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  Lecture 1 - Introduction Lecture 1 - Introduction       1

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  Lecture 2 - Python Programming for Data Science Lecture 2 - Python Programming for Data Science       2

      wiki_page 2780585 0

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  Lecture 3 - Basic Statistics Lecture 3 - Basic Statistics       3

      wiki_page 2780586 0

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  Lecture 4 - Overview of Linear Algebra and Matrix Computations Lecture 4 - Overview of Linear Algebra and Matrix Computations       4

      wiki_page 2780588 0

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  Lecture 5 - Modelling Techniques and Regressions Lecture 5 - Modelling Techniques and Regressions       5

      wiki_page 2780589 0

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  Lecture 6 - Data Visualization and Visual Analytics Lecture 6 - Data Visualization and Visual Analytics       6

      wiki_page 2780590 0

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  Lecture 7 - Advanced Machine Learning Lecture 7 - Advanced Machine Learning       7

      wiki_page 2780591 0

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  Lecture 8 - Optimization Modeling Lecture 8 - Optimization Modeling       8

      wiki_page 2780592 0

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  Lecture 9 - Simulation Modeling Lecture 9 - Simulation Modeling       9

      wiki_page 2780593 0

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  Lecture 10 - Neural Networks and Deep Learning Lecture 10 - Neural Networks and Deep Learning       10

      wiki_page 2780594 0

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Tutorials

Tutorials Tutorials

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  Tutorial 1 - Python Installation, Python Programming and Python Q&A Tutorial 1 - Python Installation, Python Programming and Python Q&A       1

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  Tutorial 2 - Working with Data in Python and SQL Tutorial 2 - Working with Data in Python and SQL       2

      wiki_page 2780597 0

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  Tutorial 3 - Basic Statistics and Assignment 1 Review Tutorial 3 - Basic Statistics and Assignment 1 Review       3

      wiki_page 2780598 0

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  Tutorial 4 - Review of Mathematics for Data Science and Assignment 1 Q&A Tutorial 4 - Review of Mathematics for Data Science and Assignment 1 Q&A       4

      wiki_page 2879457 0

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  Tutorial 5 - Linear Regression, Logistic Regression and Evaluation Metrics Tutorial 5 - Linear Regression, Logistic Regression and Evaluation Metrics       5

      wiki_page 2879458 0

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  Tutorial 6 - Bias-Variance Tradeoff and Assignment 2 Review Tutorial 6 - Bias-Variance Tradeoff and Assignment 2 Review       6

      wiki_page 2879461 0

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  Tutorial 7 - Data Visualizations, Cloud APIs and Assignment 2 Q&A Tutorial 7 - Data Visualizations, Cloud APIs and Assignment 2 Q&A       7

      wiki_page 2879462 0

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  Tutorial 8 - Natural Language Processing and Assignment 3 Review Tutorial 8 - Natural Language Processing and Assignment 3 Review       8

      wiki_page 2879463 0

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  Tutorial 9 - Decision Trees and Ensembles, Assignment 3 and Course Project Q&A Tutorial 9 - Decision Trees and Ensembles, Assignment 3 and Course Project Q&A       9

      wiki_page 2879464 0

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  Tutorial 10 - Optimization Modeling, Assignment 3 and Course Project Q&A Tutorial 10 - Optimization Modeling, Assignment 3 and Course Project Q&A       10

      wiki_page 2879466 0

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  Tutorial 11 - Neural Nets Tutorial 11 - Neural Nets       11

      wiki_page 2879467 0

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  Tutorial 12 - Final Exam Project Tutorial 12 - Final Exam Project       12

      wiki_page 2879468 0

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Assignments, Course Project and Final Exam Project

Assignments, Course Project and Final Exam Project Assignments, Course Project and Final Exam Project

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Assignments, Course Project and Final Exam Project 506109  

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  In-class Presentation Assignment In-class Presentation Assignment 12     1

      assignment 2879513 1

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  Assignment 1 Assignment 1 12     2

      assignment 2879521 1

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  Assignment 2 Assignment 2 16     3

      assignment 2879522 1

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  Assignment 3 Assignment 3 16     4

      assignment 2879524 1

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  Course Project Course Project 20     5

      assignment 2879536 1

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  Final Exam Project Final Exam Project 24     6

      assignment 2879541 1

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Additional Materials

Additional Materials Additional Materials

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Additional Materials 506110  

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  Access to DataCamp online courses Access to DataCamp online courses       1

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  IBM Cloud IBM Cloud       2

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  Google Cloud Google Cloud       3

      wiki_page 2780602 0

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  Microsoft Azure Cloud Microsoft Azure Cloud       4

      wiki_page 2780603 0

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  Amazon AWS Cloud Amazon AWS Cloud       5

      wiki_page 2780604 0

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  Tableau Tableau       6

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  Power BI Power BI       7

      wiki_page 2780606 0

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  Centre for Analytics and AI Engineering (CARTE) Centre for Analytics and AI Engineering (CARTE)       8

      wiki_page 2780608 0

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