Analiza danych

Analiza danych jest ekscytującą dyscypliną, która umożliwia zrozumienie pewnych zjawisk, uzyskanie wglądu i wiedzy na podstawie surowych danych. Pojęcie to oznacza dokładnie przetwarzanie danych za pomocą technik matematycznych i statystycznych w celu uzyskania cennych wniosków, podjęcia ważnych decyzji i opracowania przydatnych produktów. Termin ten wywodzi się od angielskiego data science, często traktowanego jako synonim takich terminów, jak analityka biznesowa, badania operacyjne, business intelligence, wywiad konkurencyjny, analiza i modelowanie danych, a także pozyskiwanie wiedzy. Dzięki takim technologiom, jak języki Python czy R, platformy Hadoop i Spark masz szansę wyciągnąć maksimum wniosków, dostrzec szanse na rozwój swojej organizacji albo przewidzieć i zapobiec zagrożeniom.

siatka lista

The Art of Data-Driven Business. Transform your organization into a data-driven one with the power of Python machine learning

Alan Bernardo Palacio

The Computer Vision Workshop. Develop the skills you need to use computer vision algorithms in your own artificial intelligence projects

Hafsa Asad, Vishwesh Ravi Shrimali, Nikhil Singh

The Data Analysis Workshop. Solve business problems with state-of-the-art data analysis models, developing expert data analysis skills along the way

Gururajan Govindan, Shubhangi Hora, Konstantin Palagachev

The Data Science Workshop. A New, Interactive Approach to Learning Data Science

Anthony So, Thomas V. Joseph, Robert Thas...

The Data Science Workshop. Learn how you can build machine learning models and create your own real-world data science projects - Second Edition

Anthony So, Thomas V. Joseph, Robert Thas...

The Data Visualization Workshop. A self-paced, practical approach to transforming your complex data into compelling, captivating graphics

Mario Döbler, Tim Großmann

The Data Wrangling Workshop. Create your own actionable insights using data from multiple raw sources - Second Edition

Brian Lipp, Shubhadeep Roychowdhury, Dr. Tirthajyoti Sarkar

The Deep Learning Architect's Handbook. Build and deploy production-ready DL solutions leveraging the latest Python techniques

Ee Kin Chin

The Deep Learning with Keras Workshop. Learn how to define and train neural network models with just a few lines of code

Matthew Moocarme, Mahla Abdolahnejad, Ritesh Bhagwat

The Deep Learning with PyTorch Workshop. Build deep neural networks and artificial intelligence applications with PyTorch

Hyatt Saleh

The Deep Learning Workshop. Learn the skills you need to develop your own next-generation deep learning models with TensorFlow and Keras

Mirza Rahim Baig, Thomas V. Joseph, Nipun...

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...

The Definitive Guide to Microsoft Fabric. From discovery to building a unified, secure, and scalable data platform

Christopher Maneu, Emilie Beau, Jean-Pierre Riehl, Romain...

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

Greg Deckler, Rick de Groot, Melissa de...

The Economics of Data, Analytics, and Digital Transformation. The theorems, laws, and empowerments to guide your organization’s digital transformation

Bill Schmarzo, Dr. Kirk Borne

The Kaggle Book. Master data science competitions with machine learning, GenAI, and LLMs - Second Edition

Luca Massaron, Bojan Tunguz, Konrad Banachewicz, Anthony...

The Pandas Workshop. A comprehensive guide to using Python for data analysis with real-world case studies

Blaine Bateman, Saikat Basak, Thomas V. Joseph,...

The Tableau Workshop. A practical guide to the art of data visualization with Tableau

Sumit Gupta, Sylvester Pinto, Shweta Sankhe-Savale, JC...

The TensorFlow Workshop. A hands-on guide to building deep learning models from scratch using real-world datasets

Matthew Moocarme, Anthony So, Anthony Maddalone

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

Shankar Narayanan SGS, Vivekanandan SS, Jeff Hollan

Three.js Cookbook. Over 80 shortcuts, solutions, and recipes that allow you to create the most stunning visualizations and 3D scenes using the Three.js library

Jos Dirksen

Time Series Analysis with Python Cookbook. Practical recipes for the complete time series workflow, from modern data engineering to advanced forecasting and anomaly detection - Second Edition

Tarek A. Atwan

Time Series Analysis with Spark. A practical guide to processing, modeling, and forecasting time series with Apache Spark

Yoni Ramaswami, Dael Williamson, Jan Govaere

Tomographic imaging in environmental, industrial and medical applications

Tomasz Rymarczyk