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Databases - System Concepts Designs Management and Implementation

Jonathan Rigdon

Mastering Transformers - The Journey from BERT to Large Language Models and Stable Diffusion

Savaş Yıldırım, Meysam Asgari- Chenaghlu

Algorithms and Data Structures - An Easy Guide to Programming Skills

Rigdon Jonathan

Python Data Cleaning Cookbook - Prepare your data for analysis with pandas NumPy Matplotlib scikit-learn and OpenAI

Michael Walker

Data Governance Handbook - A practical approach to building trust in data

Wendy S. Batchelder

The Ultimate Guide to Snowpark - Design and deploy Snowpark with Python for efficient data workloads

Shankar Narayanan SGS, Vivekanandan SS

Data Entry - A Guide to Data Entry Operations That Make Money Online

Daniel Shore

Databricks ML in Action - Learn how Databricks supports the entire ML lifecycle end to end from data ingestion to the model deployment

Amanda Baker, Stephanie Rivera, Anastasia Prokaieva, Hayley Horn

Data Engineering with Google Cloud Platform - A guide to leveling up as a data engineer by building a scalable data platform with Google Cloud

Adi Wijaya

Extending Excel with Python and R - Unlock the potential of analytics languages for advanced data manipulation and visualization

Steven Sanderson, David Kun

Ultimate Python Libraries for Data Analysis and Visualization - Leverage Pandas NumPy Matplotlib Seaborn Julius AI and No-Code Tools for Data Acquisition Visualization and Statistical Analysis

Abhinaba Banerjee

The Definitive Guide to Power Query (M) - Mastering complex data transformation with Power Query

Gregory Deckler, Rick de Groot, Melissa de Korte

The Definitive Guide to Data Integration - Unlock the power of data integration to efficiently manage transform and analyze data

Pierre-yves Bonnefoy, Emeric Chaize, Raphaël Mansuy, Mehdi Tazi

Extending Power BI with Python and R - Perform advanced analysis using the power of analytical languages

Luca Zavarella

Deep Learning for Time Series Cookbook - Use PyTorch and Python recipes for forecasting classification and anomaly detection

Vitor Cerqueira, Luís Roque

Kibana 8x – A Quick Start Guide to Data Analysis - Learn about data exploration visualization and dashboard building with Kibana

Krishna Shah

Cracking the Data Science Interview - Unlock insider tips from industry experts to master the data science field

Leondra R. Gonzalez, Aaren Stubberfield

Data-Centric Machine Learning with Python - The ultimate guide to engineering and deploying high-quality models based on good data

Jonas Christensen, Nakul Bajaj, Manmohan Gosada

Data Cleaning with Power BI - The definitive guide to transforming dirty data into actionable insights

Gus Frazer

Building Interactive Dashboards in Microsoft 365 Excel - Harness the new features and formulae in M365 Excel to create dynamic automated dashboards

Michael Olafusi

Learn T-SQL Querying - A guide to developing efficient and elegant T-SQL code

Pedro Lopes, Pam Lahoud

Azure Data Factory Cookbook - A data engineer's guide to building and managing ETL and ELT pipelines with data integration

Dmitry Anoshin, Dmitry Foshin, Tonya Chernyshova, Xenia Hertzenberg

Data Stewardship in Action - A roadmap to data value realization and measurable business outcomes

Pui Shing Lee

Data Warehousing - Optimizing Data Storage And Retrieval For Business Success

Rob Botwright

Excel 2024 - Mastering Charts Functions Formula and Pivot Table in Excel 2024 as a Beginner with Step by Step GuideMastering Charts Functions Formula and Pivot Table in Excel 2024 as a Beginner with Step by Step Guide

Thomas Reynolds

Principles of Data Science - A beginner's guide to essential math and coding skills for data fluency and machine learning

Sinan Ozdemir

Bayesian Analysis with Python - A practical guide to probabilistic modeling

Osvaldo Martin

Data Labeling in Machine Learning with Python - Explore modern ways to prepare labeled data for training and fine-tuning ML and generative AI models

Vijaya Kumar Suda

Managing Data Integrity for Finance - Discover practical data quality management strategies for finance analysts and data professionals

Jane Sarah Lat

Data Engineering with Scala and Spark - Build streaming and batch pipelines that process massive amounts of data using Scala

Eric Tome, Rupam Bhattacharjee, David Radford