Data science in a Big Data World: Benefits and uses of data science and big Data-Facets of data-The data science process-The big data ecosystem and data science. The data science process-Overview of the data science process-Steps: Defining research goals and creating-- Retrieving data. [TB:1, CH:1] 

Handling Large Data on a Single Computer: The problem in handling large data-General techniques for handling large volumes of data-General programming tips for dealing with large data sets-Case Studies. [TB:1, CH:2,4] 

Data Manipulation with Pandas: Introducing Pandas Objects- Data Indexing and Selection- Operating on Data in Pandas- Handling Missing Data- Hierarchical Indexing- Combining Datasets: Concat and Append.Combining Datasets: Merge and Join- Aggregation and Grouping. [TB:2, CH:3] 

Data Manipulation with Pandas: Pivot Tables- Pivot Tables- Vectorized String Operations- Working with Time SeriesHigh-Performance Pandas: eval () and query (). [TB:2, CH:3]

Visualization with Matplotlib: Simple Line Plots- Simple Scatter Plots- Visualizing Errors- Density and Contour Plots- Histograms, Binnings, and Density- Customizing Plot Legends- Customizing ColorbarsMultiple Subplots- Text and Annotation- Customizing Ticks- Customizing Matplotlib: Configurations and Stylesheets- Three-Dimensional Plotting in Matplotlib- Geographic Data with Basemap. [ TB:2, CH:4]