Textbook in PDF format

If you are a Data Science enthusiast, then this book is for you! “Data Science Essentials: A Beginner’s Guide to Mastering Analysis, Visualization, and Machine Learning” is the ultimate guide for those who want to master this incredible science and impress in data analysis.
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Content
Introduction to Python and Data Science
Installation and Configuration of the Environment
Overview of Libraries
Basic Programming with Python
Variables and Data
Typing in Python
Operators and Expressions
Arithmetic Operators:
Comparison operators:
Assignment operators:
Logical operators
Member operators
Identity operators
Ternary operators
Conditional assignment operators
Control Structures
If structure
For structure
Try-except structure
While structure
With structure
Functions
Function definition
Default value arguments
Importing and exporting data
Exporting Data
Data cleaning and Pre-processing
Data Wrangling and Transformation
Data Manipulation in Pandas
Loading data into a DataFrame
Selecting Data
Transforming Dados
Data Cleaning
Treating Missing Values
Treating Outliers
Treating Typing Errors
Conclusion
Exploring Data with the power of exploratory analysis (EDA)
Descriptive Statistics
Measures of central tendency
Measures of dispersion
Measures of shape
Frequencies and proportions
Visualization with Matplotlib
Seaborn and Plotly for Advanced Visualization
Machine Learning with Python
Regression Analysis
Classification Analysis
Clustering Analysis
Time Series Analysis
Natural Language Processing (NLP)
Text Classification and Sentiment Analysis
Deep Learning with TensorFlow
TensorFlow