Biznes IT

Książki online z kategorii Biznes IT pomogą Ci opanować takie zagadnienia techniczne, jak analiza danych, blockchain, czy programowanie. Znajdziesz tutaj także świetne pozycje dotyczące reklamy internetowej i ogólnie tego, jak z powodzeniem prowadzić biznes online. Omawiają one choćby to, jak analizować dane marketingowe oraz budować dobrą relację z klientem.

siatka

lista

Data Science for Web3. A comprehensive guide to decoding blockchain data with data analysis basics and machine learning cases

Gabriela Castillo Areco, José Dahlquist

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

Data science od podstaw. Analiza danych w Pythonie. Wydanie II

Joel Grus

Data Science Tools. Comprehensive Guide to Mastering Fundamental Data Science and Statistics Techniques

Mercury Learning and Information, Christopher Greco

Data Science with SQL Server Quick Start Guide. Integrate SQL Server with data science

Dejan Sarka

Data science, wyzwania i rozwiązania. Jak zostać ekspertem analizy danych

Daniel Vaughan

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

Pui Shing Lee, Dr. Toa Charm

Data Visualization for Business Decisions. Transforming Data into Actionable Insights

Mercury Learning and Information, Andres Fortino

Data Visualization with D3 4.x Cookbook. Visualization Strategies for Tackling Dirty Data - Second Edition

Nick Zhu

Data Visualization with D3 and AngularJS. Build dynamic and interactive visualizations from real-world data with D3 on AngularJS

Christoph Körner

Data Wrangling on AWS. Clean and organize complex data for analysis

Navnit Shukla, Sankar M, Sampat Palani

Data Wrangling Using Pandas, SQL, and Java. A Comprehensive Guide to Data Cleaning and Transformation

Mercury Learning and Information, Oswald Campesato

Data Wrangling with Python. Creating actionable data from raw sources

Dr. Tirthajyoti Sarkar, Shubhadeep Roychowdhury

Data Wrangling with R. Load, explore, transform and visualize data for modeling with tidyverse libraries

Gustavo R Santos

Data Wrangling with SQL. A hands-on guide to manipulating, wrangling, and engineering data using SQL

Raghav Kandarpa, Shivangi Saxena

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

Stephanie Rivera, Anastasia Prokaieva, Amanda Baker, Hayley Horn

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, Kirk D. Borne

DAX i Power BI w analizie danych. Tworzenie zaawansowanych i efektywnych analiz dla biznesu

Michiel Rozema, Henk Vlootman

DDD. Kompendium wiedzy

Vaughn Vernon

Dealing With Data Pocket Primer. A Comprehensive Guide to Data Handling Techniques

Mercury Learning and Information, Oswald Campesato

Debugging Machine Learning Models with Python. Develop high-performance, low-bias, and explainable machine learning and deep learning models

Ali Madani, Stephen MacKinnon

Decoding Large Language Models. An exhaustive guide to understanding, implementing, and optimizing LLMs for NLP applications

Irena Cronin

Decyzyjni. Jak zwykli ludzie kreują niezwykłe produkty

Marty Cagan, Chris Jones