## Data Science Notes PDF

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Topics in our Data Science Notes PDF

The topics we will cover in these **Data Science PDF Notes** will be taken from the following list:

**Introduction: **Introduction to Data Science, Exploratory Data Analysis, and Data Science Process. The motivation for using Python for Data Analysis, Introduction of Python shell iPython, and Jupyter Notebook.

**Essential Python Libraries: **NumPy, pandas, matplotlib, SciPy, scikit-learn, statsmodels

**Getting Started with Pandas:** Arrays and vectorized computation, Introduction to pandas Data Structures, Essential Functionality, Summarizing, and Computing Descriptive Statistics. Data Loading, Storage, and File Formats. Reading and Writing Data in Text Format, Web Scraping, Binary Data Formats, Interacting with Web APIs, Interacting with Databases Data Cleaning and Preparation. Handling Missing Data, Data Transformation, String Manipulation

**Data Wrangling: **Hierarchical Indexing, Combining, and Merging Data Sets Reshaping and Pivoting.

**Data Visualization matplotlib**: Basics of matplotlib, plotting with pandas and seaborn, other python visualization tools

**Data Aggregation and Group operations**: Group by Mechanics, Data aggregation, General split-apply-combine, Pivot tables, and cross-tabulation

**Time Series Data Analysis**: Date and Time Data Types and Tools, Time series Basics, date Ranges, Frequencies and Shifting, Time Zone Handling, Periods, and Periods Arithmetic, Resampling and Frequency conversion, Moving Window Functions.

**Advanced Pandas: **Categorical Data, Advanced GroupBy Use, Techniques for Method Chaining

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## Data Science Books

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Computer Science Notes

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