data analytics syllabus and materials

                                      

Download data analytics syllabus and materials and important questions

syllabus

UNIT - I

Data Management: Design Data Architecture and manage the data for analysis, understand various sources of Data like Sensors/Signals/GPS, etc. Data Management, Data Quality

(noise, outliers, missing values, duplicate data), and Data Processing & Processing.

UNIT - II

Data Analytics: Introduction to Analytics, Introduction to Tools and Environment, 

Application of Modeling in Business, Databases & Types of Data and variables, Data 

Modeling Techniques, Missing Imputations, etc. Need for Business Modeling.

UNIT - III

Regression – Concepts, Blue property assumptions, Least Square Estimation, Variable 

Rationalization, and Model Building, etc.

Logistic Regression: Model Theory, Model fit Statistics, Model Construction, Analytics 

applications to various Business Domains etc. 

UNIT - IV

Object Segmentation: Regression Vs Segmentation – Supervised and Unsupervised Learning, 

Tree Building – Regression, Classification, Overfitting, Pruning and Complexity, Multiple 

Decision Trees etc.

Time Series Methods: Arima, Measures of Forecast Accuracy, STL approach, Extract 

features from the generated model as Height, Average Energy, etc and Analyze for prediction.

UNIT - V

Data Visualization: Pixel-Oriented Visualization Techniques, Geometric Projection 

Visualization Techniques, Icon-Based Visualization Techniques, Hierarchical Visualization 

Techniques, Visualizing Complex Data and Relations.

Download syllabus and important questions and previous papers Click Here 

To download the materials of all units click the below links...

Unit 1 material Click Here

Unit 2 material Click Here

Unit 3 material Click Here

Unit 4 material Click Here

Unit 5 material Click Here

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Credits - sia publications