Data Analyst (Python) — Expert Micro Path

BUNDLE OBJECTIVE
This bundle is designed for expert-level data professionals, AI practitioners, and Python developers seeking to deepen their expertise in Python-driven data analysis and advanced AI techniques. Through practical projects in deepfake detection and comprehensive data analysis and visualization using Python libraries, learners will gain mastery over real-world data manipulation, pattern recognition, and AI-powered media security workflows. By the end, readers will be capable of handling advanced analytics projects and building secure, AI-aware data solutions.

KEY FEATURES
Hands-on deepfake detection with Python AI libraries.
Master data analysis with Pandas, NumPy, and visualization tools.
Explore AI workflows for images, videos, and audio.
Practical Python projects for real-world applications.
Transition confidently to expert-level Python data workflows.

DESCRIPTION
The Data Analyst (Python) — Expert Micro Path bundle is a two-book collection for expert-level Python practitioners and data professionals.

Ultimate Deepfake Detection Using Python equips readers to tackle generative AI threats by implementing robust detection mechanisms for images, videos, and audio. With step-by-step guidance, it covers Python environments, datasets, and advanced deep learning techniques for practical detection workflows.

Ultimate Python Libraries for Data Analysis and Visualization provides an end-to-end roadmap for mastering Python libraries including Pandas, NumPy, Matplotlib, Seaborn, and Julius AI. Learners will explore data acquisition, cleaning, analysis, and visualization techniques through hands-on projects and real-world datasets.

Together, these titles enable expert practitioners to build secure, AI-aware analytical systems and extract actionable insights from complex datasets efficiently.

WHAT WILL YOU LEARN
Detect and analyze deepfakes using Python and AI libraries.
Implement advanced data analysis workflows with Pandas and NumPy.
Visualize complex datasets with Matplotlib, Seaborn, and Julius AI.
Build Python-based pipelines for real-world analytics and AI projects.
Apply best practices for secure and scalable AI solutions.

WHO THIS BUNDLE IS FOR
This bundle is for Python developers, data analysts, data scientists, and AI practitioners aiming to achieve expert proficiency in data analysis, visualization, and deepfake detection. A strong foundation in Python programming and machine learning is recommended.

TABLE OF CONTENTS
Ultimate Deepfake Detection Using Python
Introduction to Deepfakes and Generative AI
Setting up Python Environments for AI Detection
Working with Key Datasets for Images, Video, and Audio
Deep Learning Techniques for Detection
Real-World Projects and Applications

Ultimate Python Libraries for Data Analysis and Visualization
Introduction to Python Libraries for Data Analysis
Data Acquisition and Preparation
Exploratory Data Analysis with Pandas and NumPy
Data Visualization with Matplotlib, Seaborn, and Julius AI
Advanced Workflows and Case Studies