Data Science Course Training

Module 1 - Data Science Project Lifecycle

Module 2 - Introduction To Basic Statistics Using R And Python

Module 3 - Probability And Hypothesis Testing

Module 4 -Exploratory Data Analysis -1

Module 5 - Linear Regression

Module 6 - Logistic Regression

Module - 7 Deployment

Module 8 - Data Mining Unsupervised Clustering

Module 9 - Dimension Reduction Techniques

Module 10 - Association Rules

Module 11 - Recommender System

Module 12 - Introduction To Supervised Machine Learning

Module 13 - Decision Tree

Module 14 - Exploratory Data Analysis - 2

Module 15: Feature Engineering

Module 16: Model Validation Methods

Module 17:Ensembled Techniques

Module 18 - KNN And Support Vector Machines

Module 19 - Regularization Techniques

Module 20 - Neural Networks

Module 21 - Text Mining

Module 22 - Natural Language Processing

Module 23 - Naive Bayes

Module 24 - Forecasting

Module 25 - Survival Analysis

Module 26 - End To End Project Description With Deployment

Assignments/Projects/Placement Support

Module 27 - Assignments

Module 28 - Projects

Module 29 - Resume Prep And Interview Support

Value added courses

Module 30 - Basics Of Hadoop And Spark

Module 31 - Basics Of R

Module 32 - Basics Of Python

Module 33 - Basics Of MYSQL

Module 34 - Tableau

Module 35 - Artificial Intelligence (AI)