Introduction to Exploratory Data Analysis (EDA), Data visualization, Basic data visualization tools –Box Plots, Histograms, Bar charts/graphs, Scatter plots, Line charts, Area plots, Pie charts

Data Quality: Why Preprocess the Data?, Data munging/wrangling operations  Data Cleaning – Missing Values, Noisy Data  Data Transformation – Rescaling, Normalizing,  Data reduction and Data discretization

Predictive and Descriptive Models, Introduction to Data Science Tasks – Classification, Prediction, Association, Clustering, Performing simple Data Science Tasks using WEKA / R