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Course details

Python Programming - Data Sciences Introduction to NumPy Understanding Data Types in Python Arrays in Python Fixed Type Arrays NumPy Standard Data Types Basics of NumPy Arrays NumPy Array Attribute Array Indexing and Slicing Fancy Indexing Reshaping Array Array Concatenation and Splitting Aggregation on Arrays Comparisons, Masks, and Boolean Logic on Arrays Sorting Arrays Computation on NumPy Arrays: Universal Function Data Manipulation with Pandas Introduction to Pandas Objects The Pandas Series Objects The Pandas DataFrame Objects The Pandas Index Objects Data Indexing and Selection Data Selection in series Data Selection in DataFrame Operating on Data in Pandas Ufuncs: Index Preservation Ufuncs: Index Alignment Ufuncs: Operation between DataFrame and Series Operating Null Values Hierarchical Indexing A Multiply Indexed Series Methods of MultiIndex Creation Indexing and Slicing a MultiIndex Rearranging Multi-Indices Combining Datasets: Concat and Append Combining Datasets: Merge and join Aggregation and Grouping Vectorized String Operators Working with Time Series High Performance Pandas: eval() and query() Visualization with Matplotlib Importing Matplotlib Setting styles Simple Line Plots Simple Scatter Plots Visualizing Error Density and Contour Plots Histograms, Binning and Density Customizing Plot Legends Customizing Colorbars Multiple Subplots Text and Annotation Customizing Ticks