Data Analytics

Data Analytics
(JNTUH)

UNIT - I Data Management: (UNIT-1 PDF)
1.1 Design Data Architecture
1.2 Understand various sources of Data
1.3 Data Quality
1.4 Preprocessing

UNIT - II Data Analytics: (UNIT-2 PDF)
2.1 Introduction to Analytics
2.2 Introduction to Tools and Environment
2.3 Application of Modeling in Business
2.4 Databases & Types of Data and variables
2.5 Data Modeling Techniques Overview
2.6 Missing Imputations

UNIT - III: (UNIT-3 PDF)

Regression:

3.1 Concepts
3.2 Blue property assumptions
3.3 Least Square Estimation
Logistic Regression: 
3.5 Model Theory
3.6 Model fit Statistics
3.7 Model Construction
3.8 Analytics applications to various Business Domains etc.

UNIT-IV (UNIT-4 PDF)
Object Segmentation: 
4.1 Regression Vs Segmentation
4.2 Supervised and Unsupervised Learning
4.3 Tree Building
Time Series Methods: 
4.4 Arima
4.5 Measures of Forecast Accuracy 
4.5 Measures of Forecast Accuracy (Another version)
4.6 ETL approach

UNIT - V Data Visualization: (UNIT-5 PDF)
5.1 Pixel-Oriented Visualization Techniques
5.2 Geometric Projection Visualization Techniques
5.3 Icon-Based Visualization Techniques
5.4 Hierarchical Visualization Techniques
5.5 Visualizing Complex Data and Relations
PPT UNIT V - another version