Skip to content
∂
Master's of Information Technology
Semester I
Semester II
Semester III
Semester IV
← Semester III
MIT602
Data Analytics and Visualization
▼
Contents
01
Data Visualization
Direct Plotting Concepts and Standard Statistical Chart Types
Matplotlib Plotting Techniques and Advanced Chart Customization
Visualizing Distributions and Bivariate Relationships Using Seaborn
02
Time Series Forecasting
Time Series Components and Autocorrelation Function Analysis
Univariate Time Series Forecasting Models
Multivariate Time Series Forecasting
Exponential Smoothing Models
03
Data Analytics with Machine Learning
Foundations of Machine Learning: Data Preparation and Evaluation Metrics
Performance Evaluation Metrics
Predictive Modeling with Trees, Support Vectors, and Ensembles
Dimensionality Reduction: PCA and ICA
04
Data Analytics with Deep Learning
Multilayer Perceptrons for Regression and Classification
Recurrent Neural Networks and Gated Architectures
Transformer and Generative Learning
05
Text Analytics
Text Preprocessing and Feature Representation
Core Text Analysis: Similarity, Tagging, and Topic Extraction
Text Classification, Sentiment Analysis, and Transformers in NLP
§
Syllabus
Library
Library
›
Semester III
›
Data Analytics and Visualization
📊
Semester III · Subject
Data Analytics and Visualization
5 of 5 chapters available. Each chapter is one continuous read.
01
Data Visualization
5 topics
02
Time Series Forecasting
6 topics
03
Data Analytics with Machine Learning
9 topics
04
Data Analytics with Deep Learning
10 topics
05
Text Analytics
9 topics