Data Mining Certification Training

Module 1 - Data Science Project Lifecycle

Module 2 - Introduction To R And Python Basic Statistics

Module 3 - Hypothesis Testing

Module 4 - Linear Regression

Module 5 - Logistic Regression

Module 6 - Regularization Techniques

Module 7 - Multinomial Regression

Data Mining Unsupervised

Module 8 - Data Mining Unsupervised - Clustering

Module 9 - Dimension Reduction

Module 10 - Data Mining Unsupervised - Network Analytics

Module 11 - Data Mining Unsupervised - Association Rules

Module 12 - Data Mining Unsupervised - Recommender System

Module 13 - Text Mining

Module 14 - Natural Language Processing

Classifiers

Module 15 - Machine Learning Classifiers - KNN

Module 16 - Classifier - Naive Bayes

Module 17 - Decision Tree And Random Forest

Module 18 - Bagging And Boosting

Module 19 - Black Box Methods

Module 20 - Survival Analysis

Module 21 - Forecasting

Assignments/Projects/Placement Support

Module 22 - Assignments

Module 23 - Projects

Module 24 - Resume Prep And Interview Support

Value added courses

Module 25 - Basics Of Hadoop And Spark

Module 26 - Basics Of R

Module 27 - Basics Of Python

Module 28 - Basics Of Azure

Module 29 - Basics Of MYSQL

Module 30 - Tableau