Data Science with Python - Python Courses

Data Science with Python
Course Outline	Download
Introduction	Download
Day	Modules	Sharing
1	Introduction to the Course Environment Set-Up Virtual Environments Data types and Operators Integers, Floats, Strings, Bytes, Tuples and Lists Dictionaries and Ordered Dictionaries Sets and frozen sets Flow control - if, elif statements Flow control - while loops Creating and using functions Creating modules and packages Distributing code to repositories	Day1.zip Day1.xlsx
2	Creating Classes Creating Objects and Instances Data Encapsulation Class Inheritance Multiple Inheritance Decorators Handling Exception Raising exceptions Writing tests cases Executing tests Checking code coverage by tests Accessing different types of files File handling principles Creating and reading Files Updating Files Deleting files Text Files CSV Files Microsoft Word Microsoft Excel Regular Expressions Extracting data from text files using Regular Expressions Creating and deleting directories Listing and searching for files Selecting Data Inserting and Updating Data Deleting data Generic database API based on MySQL Using the Object Relational Mapper (SQLAlchemy) Working with NoSQL databases	Day2.zip Error Handling.pptx OOP.pptx Introduction to Object-Oriented Concepts.pdf
3	Introduction Ndarray Object Data Types Array Attributes Array Creation Routines Array from existing data Numerical ranges Array Indexing and Slicing Advanced Indexing Iterating over Array Array Manipulation Arithmetic Operators Binary Operators String Functions Mathematical Functions Statistical Functions Introduction Basic functions Special functions Integration Optimization Interpolation Fourier transforms Signal Processing Linear Algebra Sparse Eigenvalue Problems with ARPACK Compressed Sparse Graph Routines Spatial data structures and algorithms Statistics Multidimensional image processing File IO Introduction to Pandas Series DataFrames Missing Data Groupby Merging Joining and Concatenating Operations Data Input and Output Matplotlib Seaborn Distribution Plots Categorical Plots Matrix Plots Grids Regression Plots Pandas Built-in Data Visualization Plotly and Cufflinks Geographical Plotting Choropleth Maps Introduction Machine Learning with Python Linear Regression Logistic Regression K Nearest Neighbours Decision Trees and Random Forests Support Vector Machines K Means Clustering Natural Language Processing Theory NLP with Python NLP Project Overview NLP Project Solutions Neural Network Theory What is TensorFlow? Installing Tensorflow TensorFlow Basics MNIST with Multi-Layer Perception Tensorflow with ContribLearn Deep Learning Project	Day3.zip numpy-ref.pdf Matplotlib.pdf pandas.pdf Seaborn Official Site Machine Learning.pdf Machine Learning (Code) NLP ANN Deep Learning

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