Hands-On Big Data Analytics with PySpark. Analyze large datasets and discover techniques for testing, immunizing, and parallelizing Spark jobs

James Cross, Rudy Lai, Bartłomiej Potaczek

Hands-On Big Data Modeling. Effective database design techniques for data architects and business intelligence professionals

James Lee, Tao Wei, Suresh Kumar Mukhiya

Hands-On Blockchain with Hyperledger. Building decentralized applications with Hyperledger Fabric and Composer

Nitin Gaur, Luc Desrosiers, Venkatraman Ramakrishna, Petr Novotny, ...

Hands-On Convolutional Neural Networks with TensorFlow. Solve computer vision problems with modeling in TensorFlow and Python

Iffat Zafar, Giounona Tzanidou, Richard Burton, Nimesh Patel, ...

Hands-On Dashboard Development with QlikView. Practical guide to creating interactive and user-friendly business intelligence dashboards

Abhishek Agarwal

Hands-On Dashboard Development with Shiny. A practical guide to building effective web applications and dashboards

Chris Beeley

Hands-On Data Analysis with NumPy and Pandas. Implement Python packages from data manipulation to processing

Curtis Miller

Hands-On Data Preprocessing in Python. Learn how to effectively prepare data for successful data analytics

Roy Jafari

Hands-On Data Science and Python Machine Learning. Perform data mining and machine learning efficiently using Python and Spark

Frank Kane

Hands-On Data Science for Marketing. Improve your marketing strategies with machine learning using Python and R

Yoon Hyup Hwang

Hands-On Data Science with Anaconda. Utilize the right mix of tools to create high-performance data science applications

Yuxing Yan, James Yan

Hands-On Data Science with R. Techniques to perform data manipulation and mining to build smart analytical models using R

Vitor Bianchi Lanzetta, Nataraj Dasgupta, Ricardo Anjoleto Farias

Hands-On Data Science with SQL Server 2017. Perform end-to-end data analysis to gain efficient data insight

Marek Chmel, Vladimir Muzny

Hands-On Data Science with the Command Line. Automate everyday data science tasks using command-line tools

Jason Morris, Chris McCubbin, Raymond Page

Hands-On Data Warehousing with Azure Data Factory. ETL techniques to load and transform data from various sources, both on-premises and on cloud

Christian Cote, Michelle Gutzait, Giuseppe Ciaburro

Hands-On Deep Learning with Apache Spark. Build and deploy distributed deep learning applications on Apache Spark

Guglielmo Iozzia