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Advanced Programming in R : Functions (Continued), by Ragunathan Rengasamy

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Advanced Programming in R : Functions, by Ragunathan Rengasamy

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Arithmetic,Logical and Matrix Operations in R, by Ragunathan Rengasamy

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Classification, by Ragunathan Rengasamy

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Control Structures, by Ragunathan Rengasamy

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Cross Validation, by Ragunathan Rengasamy

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Data Frames, by Ragunathan Rengasamy

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Data Management, by Sanjay Mehendale

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Data Science for Engineers Course Philosophy and Expectation, by Ragunathan Rengasamy

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Data Science for Engineers-Summary, by Ragunathan Rengasamy

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Data Visualization in R Basic Graphics, by Ragunathan Rengasamy

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Designing Data Collection Tools, by Sanjay Mehendale

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Diagnostics to Improve Linear Model Fit, by Ragunathan Rengasamy

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Gradient (Steepest) Descent (OR) Learning Rule, by Ragunathan Rengasamy

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Hypotheses Testing, by Ragunathan Rengasamy

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Introduction to Data Science, by Ragunathan Rengasamy

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Introduction to R (Continued), by Ragunathan Rengasamy

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Introduction to R, by Ragunathan Rengasamy

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K-Means Clustering, by Ragunathan Rengasamy

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K-Means Implementation in R, by Ragunathan Rengasamy

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K-Nearest Neighbors (kNN), by Ragunathan Rengasamy

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K-Nearest Neighbors Implementation in R, by Ragunathan Rengasamy

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Lecture 1: Course Overview, by Partha Pratim Das

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Lecture 10 : Descriptive Analytics, by Ramkumar Rajendran

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Lecture 10 : Intermediate SQL/2, by Partha Pratim Das

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Lecture 11 : Advanced SQL, by Partha Pratim Das

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Lecture 11 : Data Visualization, by Ramkumar Rajendran

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Lecture 12 : Formal Relational Query Languages, by Partha Pratim Das

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Lecture 12 : Youtube Analytics Dashboard, by Ramkumar Rajendran

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Lecture 13 : Entity-Relationship Model/1, by Partha Pratim Das

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Lecture 13 : Moocs Analytics Dashboard, by Ramkumar Rajendran

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Lecture 14 : Entity-Relationship Model/2, by Partha Pratim Das

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Lecture 14 : Predictive Analytics, by Ramkumar Rajendran

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Lecture 15 : Entity-Relationship Model/3, by Partha Pratim Das

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Lecture 15 : Linear Regression, by Ramkumar Rajendran

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Lecture 16 : Relational Database Design, by Partha Pratim Das

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Lecture 16 : Weka Demo and how to Read the Results, by Ramkumar Rajendran

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Lecture 17 : MOOC Data for Course Project, by Ramkumar Rajendran

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Lecture 17 : Relational Database Design (Contd.), by Partha Pratim Das

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Lecture 18 : Relational Database Design/3, by Partha Pratim Das

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Lecture 18 : Summary of the Course, by Ramkumar Rajendran

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Lecture 19 : Relational Database Design (Contd.), by Partha Pratim Das

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Lecture 2 : Introduction to DBMS/1, by Partha Pratim Das

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Lecture 20 : Relational Database Design/5, by Partha Pratim Das

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Lecture 21: Application Design and Development/1, by Partha Pratim Das

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Lecture 22: Application Design and Development/2, by Partha Pratim Das

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Lecture 23: Application Design and Development/3, by Partha Pratim Das

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Lecture 24: Storage and File Structure/1: Storage, by Partha Pratim Das

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Lecture 25: Storage and File Structure/2: File Structure, by Partha Pratim Das

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Lecture 26 : Indexing and Hashing/1 : Indexing/1, by Partha Pratim Das

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