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.
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Credits - sia publications
