Data Science Training in Chennai

Data science is driving a world-wide revolution that touches everything from business automation to social interaction. It’s also one of the fastest growing, most rewarding careers, employing analysts and engineers around the globe. This course provides an accessible, nontechnical overview of the field, covering the vocabulary, skills, jobs, tools, and techniques of data science defines the relationships to other data-saturated fields such as machine learning and artificial intelligence the primary practices: gathering and analyzing data, formulating rules for classification and decision-making, and drawing actionable insights ethics and accountability and provides direction to learn more. By the end, you’ll see how data science can help you make better decisions, gain deeper insights, and make your work more effective and efficient.

Week 1

Introduction to R

Data frames, Variables and datatypes in R

Arithmetic, Logical and Matrix operations in R

Functions

Control structures

Data visualization in R Basic graphics

Week 2

Linear Algebra for Data science

Linear Algebra – Distance and Hyperplanes

Linear Algebra - Halfspaces, Eigenvalues, Eigenvectors

Week 3

Probability Random Variables

Sample Statistics

Hypotheses Testing

Statistical Modelling

Week 4

Optimization

Unconstrained Multivariate Optimization

Gradient Descent

Multivariate Optimization With Equality Constraints

Case Study

Week 5

Simple Linear Regression

Multiple Linear Regression

Model Evaluation

Diagnostics

Case Study

Week 6

Logistic Regression

Classification

Diagnostics

Case Study

Week 7

Unsupervised Learning

K - Nearest Neighbors (kNN)

K - means Clustering

Week 8

Supervised Learning

Support Vector Machines

Case Study


Support Documents



Interview Questions


    IQ_MSC_01

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