Analiza danych

Data Forecasting and Segmentation Using Microsoft Excel. Perform data grouping, linear predictions, and time series machine learning statistics without using code

Fernando Roque

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

Wendy S. Batchelder

Data Ingestion with Python Cookbook. A practical guide to ingesting, monitoring, and identifying errors in the data ingestion process

Gláucia Esppenchutz

Data Lake for Enterprises. Lambda Architecture for building enterprise data systems

Vivek Mishra, Tomcy John, Pankaj Misra

Data Literacy With Python. A Comprehensive Guide to Understanding and Analyzing Data with Python

Mercury Learning and Information, Oswald Campesato

Data Management Strategy at Microsoft. Best practices from a tech giant's decade-long data transformation journey

Aleksejs Plotnikovs

Data Modeling with Microsoft Excel. Model and analyze data using Power Pivot, DAX, and Cube functions

Bernard Obeng Boateng, Michael Olafusi

Data Modeling with Snowflake. A practical guide to accelerating Snowflake development using universal data modeling techniques

Serge Gershkovich, Kent Graziano

Data Observability for Data Engineering. Proactive strategies for ensuring data accuracy and addressing broken data pipelines

Michele Pinto, Sammy El Khammal

Data Processing with Optimus. Supercharge big data preparation tasks for analytics and machine learning with Optimus using Dask and PySpark

Dr. Argenis Leon, Luis Aguirre

Data Quality in the Age of AI. Building a foundation for AI strategy and data culture

Andrew Jones

Data Science Algorithms in a Week. Top 7 algorithms for scientific computing, data analysis, and machine learning - Second Edition

David Natingga

Data Science for Marketing Analytics. A practical guide to forming a killer marketing strategy through data analysis with Python - Second Edition

Mirza Rahim Baig, Gururajan Govindan, Vishwesh Ravi Shrimali

Data Science for Marketing Analytics. Achieve your marketing goals with the data analytics power of Python

Tommy Blanchard, Debasish Behera, Pranshu Bhatnagar

Data Science Fundamentals Pocket Primer. An Essential Guide to Data Science Concepts and Techniques

Mercury Learning and Information, Oswald Campesato

Data science od podstaw. Analiza danych w Pythonie

Joel Grus