Data Analyst — AWS + Databricks Path

BUNDLE OBJECTIVE
This bundle is ideal for Data Analysts, Data Engineers, Business Intelligence Specialists, and Python Developers looking to advance their cloud data analytics skills. Through hands-on projects with AWS, Databricks, and Apache Superset, learners will master cloud-based data processing, real-time pipelines, machine learning integration, and interactive data visualization. By the end, you’ll be able to efficiently handle, analyze, and visualize large datasets—building a solid foundation for careers in data science, analytics, and cloud engineering.

KEY FEATURES
Hands-on AWS analytics for real-world data processing
Master Databricks for scalable data engineering workflows
Build interactive dashboards with Apache Superset
Integrate machine learning into data pipelines

DESCRIPTION
The Data Analyst — AWS + Databricks Path bundle is a 3-book collection designed to help intermediate professionals become experts in cloud-based data analytics.

Advanced Data Analytics with AWS — Begin your exploration with fundamentals of data analytics on AWS. The book covers collecting, processing, and analyzing datasets effectively, unlocking the full potential of AWS services for real-world insights.

Mastering Data Engineering and Analytics with Databricks — Offers a practical, hands-on approach to building and optimizing data pipelines. Covers real-time data processing, advanced Delta Lake optimization, and MLflow integration, equipping readers with essential skills for modern data engineering.

Ultimate Apache Superset for Data Visualization and Analytics — Guides learners through installing, configuring, and mastering Superset to create interactive dashboards. Covers SQL Lab, custom visualizations, pipeline integration, and production deployment with real-world examples.

Together, these books provide a comprehensive learning journey for cloud-based data analytics, empowering professionals to process, analyze, and visualize data efficiently.

WHAT WILL YOU LEARN
Build and deploy advanced data pipelines on AWS and Databricks
Perform real-time analytics and optimize cloud resources
Integrate machine learning into your data workflows
Design interactive dashboards with Apache Superset

WHO THIS BUNDLE IS FOR
This bundle is for Data Analysts, Data Engineers, Business Intelligence Professionals, and Python developers seeking hands-on expertise in cloud-based analytics. A basic understanding of Python and cloud computing is recommended.

TABLE OF CONTENTS
Advanced Data Analytics with AWS
Introduction to Data Analytics and AWS
Collecting and Processing Data on AWS
Descriptive and Advanced Analytics
Predictive Modeling and Machine Learning
Data Visualization and Interaction
Emerging Trends and Applications

Mastering Data Engineering and Analytics with Databricks
Introduction to Databricks for Data Engineering
Setting Up Databricks Environments
Data Extraction, Transformation, and Loading
Streaming Data and Delta Live Tables
Performance Tuning and Optimization
ML Integration with MLflow
Real-World Projects and Use Cases

Ultimate Apache Superset for Data Visualization and Analytics
Installing and Configuring Superset
Creating Dashboards and Visualizations
SQL Lab for Data Exploration
Custom Visualizations and Security
Integration with Data Pipelines
Production Deployment and Optimization
Case Studies and Real-World Applications