Gerald Turkington, GABRIELE MODENA - książki
Tytuły autora: dostępne w księgarni Ebookpoint
-
Data Governance Handbook. A practical approach to building trust in data
-
Python Data Cleaning Cookbook. Prepare your data for analysis with pandas, NumPy, Matplotlib, scikit-learn, and OpenAI - Second Edition
-
LLM Prompt Engineering for Developers. The Art and Science of Unlocking LLMs' True Potential
-
Fundamentals of Analytics Engineering. An introduction to building end-to-end analytics solutions
-
The Definitive Guide to Data Integration. Unlock the power of data integration to efficiently manage, transform, and analyze data
-
The Definitive Guide to Power Query (M). Mastering complex data transformation with Power Query
-
Building Interactive Dashboards in Microsoft 365 Excel. Harness the new features and formulae in M365 Excel to create dynamic, automated dashboards
-
Jak analizować dane z biblioteką Pandas. Praktyczne wprowadzenie. Wydanie II
-
Data Observability for Data Engineering. Proactive strategies for ensuring data accuracy and addressing broken data pipelines
-
Developing Kaggle Notebooks. Pave your way to becoming a Kaggle Notebooks Grandmaster
-
Data Modeling with Microsoft Excel. Model and analyze data using Power Pivot, DAX, and Cube functions
-
Data Science: The Hard Parts
-
Microsoft Power BI. Jak modelować i wizualizować dane oraz budować narracje cyfrowe. Wydanie III
-
Fundamentals of Data Observability
-
Data Curious
-
Exploratory Data Analysis with Python Cookbook. Over 50 recipes to analyze, visualize, and extract insights from structured and unstructured data
-
Building an Event-Driven Data Mesh
-
DAX i Power BI w analizie danych. Tworzenie zaawansowanych i efektywnych analiz dla biznesu
-
Microsoft Power BI Quick Start Guide. The ultimate beginner's guide to data modeling, visualization, digital storytelling, and more - Third Edition
-
Data Quality Engineering in Financial Services
-
Data Cleaning and Exploration with Machine Learning. Get to grips with machine learning techniques to achieve sparkling-clean data quickly
-
Excel 2021 i Microsoft 365. Przetwarzanie danych za pomocą tabel przestawnych
-
Microsoft Power BI. Jak modelować i wizualizować dane oraz budować narracje cyfrowe. Wydanie II
-
The Tableau Workshop. A practical guide to the art of data visualization with Tableau
-
Getting Started with Amazon SageMaker Studio. Learn to build end-to-end machine learning projects in the SageMaker machine learning IDE
-
Extreme DAX. Take your Power BI and Microsoft data analytics skills to the next level
-
Microsoft Power BI Cookbook. Gain expertise in Power BI with over 90 hands-on recipes, tips, and use cases - Second Edition
-
Amazon Redshift Cookbook. Recipes for building modern data warehousing solutions
-
Dane grafowe w praktyce. Jak technologie grafowe ułatwiają rozwiązywanie złożonych problemów
-
Interactive Dashboards and Data Apps with Plotly and Dash. Harness the power of a fully fledged frontend web framework in Python – no JavaScript required
-
Skazany na sukces. Kariera w Data Science
-
Effortless App Development with Oracle Visual Builder. Boost productivity by building web and mobile applications efficiently using the drag-and-drop approach
-
Umiejętności analityczne w pracy z danymi i sztuczną inteligencją. Wykorzystywanie najnowszych technologii w rozwijaniu przedsiębiorstwa
-
Hurtownie danych. Od przetwarzania analitycznego do raportowania. Wydanie II
-
Język R i analiza danych w praktyce. Wydanie II
-
Python Data Cleaning Cookbook. Modern techniques and Python tools to detect and remove dirty data and extract key insights
-
Codeless Deep Learning with KNIME. Build, train, and deploy various deep neural network architectures using KNIME Analytics Platform
-
Microsoft Power BI Quick Start Guide. Bring your data to life through data modeling, visualization, digital storytelling, and more - Second Edition
-
Szeregi czasowe. Praktyczna analiza i predykcja z wykorzystaniem statystyki i uczenia maszynowego
-
The Data Science Workshop. Learn how you can build machine learning models and create your own real-world data science projects - Second Edition
-
Myślenie systemowe. Wprowadzenie
-
The Applied TensorFlow and Keras Workshop. Develop your practical skills by working through a real-world project and build your own Bitcoin price prediction tracker
-
Analytical Skills for AI and Data Science. Building Skills for an AI-Driven Enterprise
-
Practical Synthetic Data Generation. Balancing Privacy and the Broad Availability of Data
-
Hands-On Deep Learning with R. A practical guide to designing, building, and improving neural network models using R
-
The Practitioner's Guide to Graph Data. Applying Graph Thinking and Graph Technologies to Solve Complex Problems
-
Data science od podstaw. Analiza danych w Pythonie. Wydanie II
-
Algorytmy dla bystrzaków
-
The Data Science Workshop. A New, Interactive Approach to Learning Data Science
-
Microsoft Excel 2019 Przetwarzanie danych za pomocą tabel przestawnych
-
Korporacyjne jezioro danych. Wykorzystaj potencjał big data w swojej organizacji
-
arc42 by Example. Software architecture documentation in practice
-
Developer, Advocate!. Conversations on turning a passion for talking about tech into a career
-
Binary Analysis Cookbook. Actionable recipes for disassembling and analyzing binaries for security risks
-
Hands-On Deep Learning with Go. A practical guide to building and implementing neural network models using Go
-
Applied Unsupervised Learning with R. Uncover hidden relationships and patterns with k-means clustering, hierarchical clustering, and PCA
-
Learn Chart.js. Create interactive visualizations for the Web with Chart.js 2
-
Wprowadzenie do systemów baz danych. Wydanie VII
-
Hands-On Deep Learning with Apache Spark. Build and deploy distributed deep learning applications on Apache Spark
-
Python Deep Learning. Exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow - Second Edition
-
QlikView: Advanced Data Visualization. Discover deeper insights with Qlikview by building your own rich analytical applications from scratch
-
Microsoft Power BI Complete Reference. Bring your data to life with the powerful features of Microsoft Power BI
-
Blockchain By Example. A developer's guide to creating decentralized applications using Bitcoin, Ethereum, and Hyperledger
-
Practical Site Reliability Engineering. Automate the process of designing, developing, and delivering highly reliable apps and services with SRE
-
Hands-On Data Science with SQL Server 2017. Perform end-to-end data analysis to gain efficient data insight
-
Julia 1.0 Programming Cookbook. Over 100 numerical and distributed computing recipes for your daily data science work?ow
-
Mastering Matplotlib 2.x. Effective Data Visualization techniques with Python
-
Apache Hadoop 3 Quick Start Guide. Learn about big data processing and analytics
-
Data science od podstaw. Analiza danych w Pythonie
-
Mastering Puppet 5. Optimize enterprise-grade environment performance with Puppet
-
Redash v5 Quick Start Guide. Create and share interactive dashboards using Redash
-
R Programming Fundamentals. Deal with data using various modeling techniques
-
Hands-On Dashboard Development with Shiny. A practical guide to building effective web applications and dashboards
-
Microsoft Power BI Quick Start Guide. Build dashboards and visualizations to make your data come to life
-
Ethereum Projects for Beginners. Build blockchain-based cryptocurrencies, smart contracts, and DApps
-
Implementing Oracle API Platform Cloud Service. Design, deploy, and manage your APIs in Oracle’s new API Platform
-
Mastering Microsoft Power BI. Expert techniques for effective data analytics and business intelligence
-
Teradata Cookbook. Over 85 recipes to implement efficient data warehousing solutions
-
Python Web Scraping Cookbook. Over 90 proven recipes to get you scraping with Python, microservices, Docker, and AWS
-
Making Data Visual. A Practical Guide to Using Visualization for Insight
-
SciPy Recipes. A cookbook with over 110 proven recipes for performing mathematical and scientific computations
-
SQL Server 2017 Administrator's Guide. One stop solution for DBAs to monitor, manage, and maintain enterprise databases
-
Microsoft Power BI Cookbook. Over 100 recipes for creating powerful Business Intelligence solutions to aid effective decision-making
-
Network Security Through Data Analysis. From Data to Action. 2nd Edition
-
Mastering Machine Learning with Spark 2.x. Harness the potential of machine learning, through spark
-
Mastering Predictive Analytics with R. Machine learning techniques for advanced models - Second Edition
-
Learning TensorFlow. A Guide to Building Deep Learning Systems
-
Hands-On Deep Learning with TensorFlow. Uncover what is underneath your data!
-
Mastering Machine Learning with scikit-learn. Apply effective learning algorithms to real-world problems using scikit-learn - Second Edition
-
Mastering Java Machine Learning. A Java developer's guide to implementing machine learning and big data architectures
-
Learning pandas. High performance data manipulation and analysis using Python - Second Edition
-
R: Mining spatial, text, web, and social media data. Create and customize data mining algorithms
-
Data Science i uczenie maszynowe
-
Python: End-to-end Data Analysis. Leverage the power of Python to clean, scrape, analyze, and visualize your data
-
D3.js 4.x Data Visualization. Learn to visualize your data with JavaScript - Third Edition
-
QGIS:Becoming a GIS Power User. Master data management, visualization, and spatial analysis techniques in QGIS and become a GIS power user
-
Splunk: Enterprise Operational Intelligence Delivered. Machine data made accessible
-
Efficient R Programming. A Practical Guide to Smarter Programming
-
Tableau 10 Business Intelligence Cookbook. Create powerful, effective visualizations with Tableau 10
-
Programming Pig. Dataflow Scripting with Hadoop. 2nd Edition
-
Analiza biznesowa. Praktyczne modelowanie organizacji
-
Advanced Machine Learning with Python. Solve challenging data science problems by mastering cutting-edge machine learning techniques in Python
-
Mastering Python Data Analysis. Become an expert at using Python for advanced statistical analysis of data using real-world examples
-
R: Data Analysis and Visualization. Click here to enter text
-
Learning Probabilistic Graphical Models in R. Familiarize yourself with probabilistic graphical models through real-world problems and illustrative code examples in R
-
Google Analytics. Integracja i analiza danych
-
Elasticsearch Essentials. Harness the power of ElasticSearch to build and manage scalable search and analytics solutions with this fast-paced guide
-
Mastering Data Analysis with R. Gain sharp insights into your data and solve real-world data science problems with R—from data munging to modeling and visualization
-
Mastering pandas for Finance. Master pandas, an open source Python Data Analysis Library, for financial data analysis
-
Learning pandas. Get to grips with pandas - a versatile and high-performance Python library for data manipulation, analysis, and discovery
-
Interactive Applications Using Matplotlib
-
Real-World Hadoop
-
Mastering R for Quantitative Finance. Use R to optimize your trading strategy and build up your own risk management system
-
Learning Hadoop 2. Design and implement data processing, lifecycle management, and analytic workflows with the cutting-edge toolbox of Hadoop 2
-
Python for Algorithmic Trading Cookbook. Recipes for designing, building, and deploying algorithmic trading strategies with Python
-
Microsoft Power BI Cookbook. Turn data into strategic assets with updated techniques, features, use cases and best practices - Third Edition
-
Analiza statystyczna z IBM SPSS Statistics
-
Cloud Analytics with Microsoft Azure. Build modern data warehouses with the combined power of analytics and Azure
-
Big Data Processing with Apache Spark. Efficiently tackle large datasets and big data analysis with Spark and Python
-
Tableau 10 Bootcamp. Intensive training for data visualization and dashboarding