NOC:Data Science for Engineers - Study Data Science Course
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NOC:Data Science for Engineers
broucher Course Brochure
NOC:Data Science for Engineers
by Prof Ragunathan Rengasamy

Learn Data Science Course at Study24x7: Empower yourself with our data science courses. Dive into analytics, master skills, and shape your data-driven future....

5.0  (200 Ratings) 724 Learner
validy img Validity Unlimited
level All Level
level English
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Program Fee
FREE
About This Course

Data science is a multi-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data.Data science is the same concept as data mining and big data: "use the most powerful hardware, the most powerful programming systems, and the most efficient algorithms to ...

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Course Curriculum
8 Sections | 50 Lecture | 19h 52min total length
Expand all sections
NOC:Data Science for Engineers

Week 1

| 01h 30min total length
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    Data science for engineers Course philosophy and expectation

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    Introduction to R

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    Introduction to R (Continued)

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    Variables and datatypes in R

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    Data frames

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    Recasting and joining of dataframes

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    Arithmetic,Logical and Matrix operations in R

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    Advanced programming in R : Functions

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    Advanced Programming in R : Functions (Continued)

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    Control structures

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    Data visualization in R Basic graphics

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NOC:Data Science for Engineers

Week 2

| 02h 54min total length
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    Linear Algebra - Distance,Hyperplanes and Halfspaces,Eigenvalues,Eigenvectors

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    Linear Algebra - Distance,Hyperplanes and Halfspaces,Eigenvalues,Eigenvectors

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    Linear Algebra - Distance,Hyperplanes and Halfspaces,Eigenvalues,Eigenvectors

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    Solving Linear Equations ( Continued )

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    Solving Linear Equations

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    Linear Algebra for Data science

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    Linear Algebra - Distance,Hyperplanes and Halfspaces,Eigenvalues,Eigenvectors

    28m <?php echo $alt; ?>
NOC:Data Science for Engineers

Week 3

| 02h 29min total length
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    Hypotheses Testing

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    Sample Statistics

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    Random Variables and Probability Mass/Density Functions

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    Statistical Modelling

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NOC:Data Science for Engineers

Week 4

| 01h 36min total length
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    Gradient ( Steepest ) Descent ( OR ) Learning Rule

    24m <?php echo $alt; ?>
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    Unconstrained Multivariate Optimization

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    Unconstrained Multivariate Optimization

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    Optimization for Data Science

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NOC:Data Science for Engineers

Week 5

| 02h 29min total length
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    Multivariate Optimization With Equality Constraints

    30m <?php echo $alt; ?>
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    Introduction to Data Science

    41m <?php echo $alt; ?>
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    Multivariate Optimization With Inequality Constraints

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    Solving Data Analysis Problems - A Guided Thought Process

    34m <?php echo $alt; ?>
NOC:Data Science for Engineers

Week 6

| 04h 59min total length
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    Module : Predictive Modelling

    23m <?php echo $alt; ?>
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    Linear Regression

    41m <?php echo $alt; ?>
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    Simple Linear Regression Model Assessment

    39m <?php echo $alt; ?>
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    Simple Linear Regression Model Assessment

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    Muliple Linear Regression

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    Simple Linear Regression Model Building

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    Diagnostics to Improve Linear Model Fit

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    Model Assessment

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NOC:Data Science for Engineers

Week 7

| 02h 38min total length
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    Cross Validation

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    Multiple Linear Regression Modelling Building and Selection

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    Classification

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    Logisitic Regression

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    Logisitic Regression ( Continued )

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    Performance Measures

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    Logisitic Regression Implementation in R

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NOC:Data Science for Engineers

Week 8

| 01h 14min total length
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    K - Nearest Neighbors (kNN)

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    K - Nearest Neighbors implementation in R

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    Data Science for engineers - Summary

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    K - means implementation in R

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    K - means Clustering

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show 5 more sections

Review & Ratings

5.0
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Chirag Singhal

01 Jan 1970 05:30 AM

Excellent Expanation

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Mayank Chauhan

01 Jan 1970 05:30 AM

Great Course

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Rohit sinha

01 Jan 1970 05:30 AM

Superb

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