Statistics for Data Science: Leverage the power of statistics for Data Analysis, Classification, Regression, Machine Learning, and Neural Networks

Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems

Big Data Visualization

Dataclysm: Love, Sex, Race, and Identity--What Our Online Lives Tell Us about Our Offline Selves

Implementing Splunk 7, Third Edition: Effective operational intelligence to transform machine-generated data into valuable business insight, 3rd Edition, Edition 3

Fundamentals of Data Engineering: Plan and Build Robust Data Systems

Implementing Splunk: Edition 2

Practical Lakehouse Architecture: Designing and Implementing Modern Data Platforms at Scale

Deciphering Data Architectures: Choosing Between a Modern Data Warehouse, Data Fabric, Data Lakehouse, and Data Mesh

R: Predictive Analysis

What Is Data Science?

Improving Your Splunk Skills: Leverage the operational intelligence capabilities of Splunk to unlock new hidden business insights

Driving Data Quality with Data Contracts: A comprehensive guide to building reliable, trusted, and effective data platforms

The Visual Organization: Data Visualization, Big Data, and the Quest for Better Decisions

TIME-SERIES ANALYSIS: FORECASTING STOCK PRICE USING MACHINE LEARNING WITH PYTHON GUI

Managing Data as a Product: Design and build data-product-centered socio-technical architectures

Python: Master the Art of Design Patterns

Building Data Science Teams

GOOGLE STOCK PRICE: TIME-SERIES ANALYSIS, VISUALIZATION, FORECASTING, AND PREDICTION USING MACHINE LEARNING WITH PYTHON GUI

Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking