Jean-Marc Spaggiari, Mladen Kovacevic, Brock Noland - książki
Tytuły autora: dostępne w księgarni Ebookpoint
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Tableau Certified Data Analyst Certification Guide. Ace the Tableau Data Analyst certification exam with expert guidance and practice material
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Getting Started with DuckDB. A practical guide for accelerating your data science, data analytics, and data engineering workflows
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The Ultimate Guide to Snowpark. Design and deploy Snowpark with Python for efficient data workloads
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Data Quality in the Age of AI. Building a foundation for AI strategy and data culture
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Data Engineering with Google Cloud Platform. A guide to leveling up as a data engineer by building a scalable data platform with Google Cloud - Second Edition
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Fundamentals of Analytics Engineering. An introduction to building end-to-end analytics solutions
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The Definitive Guide to Power Query (M). Mastering complex data transformation with Power Query
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Building Interactive Dashboards in Microsoft 365 Excel. Harness the new features and formulae in M365 Excel to create dynamic, automated dashboards
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Data-Centric Machine Learning with Python. The ultimate guide to engineering and deploying high-quality models based on good data
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Deciphering Data Architectures
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Data Engineering with Scala and Spark. Build streaming and batch pipelines that process massive amounts of data using Scala
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Managing Data Integrity for Finance. Discover practical data quality management strategies for finance analysts and data professionals
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Automating Data Quality Monitoring
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Web Data Mining z użyciem języka Python. Odkrywaj i wyodrębniaj informacje ze stron internetowych za pomocą języka Python
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Vector Search for Practitioners with Elastic. A toolkit for building NLP solutions for search, observability, and security using vector search
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Analityk danych. Przewodnik po data science, statystyce i uczeniu maszynowym
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Amazon Redshift: The Definitive Guide
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Building ETL Pipelines with Python. Create and deploy enterprise-ready ETL pipelines by employing modern methods
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Learning Data Science
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Microsoft Power BI dla bystrzaków
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Poznaj Tableau 2022. Wizualizacja danych, interaktywna analiza danych i umiejętność data storytellingu. Wydanie V
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Driving Data Quality with Data Contracts. A comprehensive guide to building reliable, trusted, and effective data platforms
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Enhancing Deep Learning with Bayesian Inference. Create more powerful, robust deep learning systems with Bayesian deep learning in Python
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Geospatial Data Analytics on AWS. Discover how to manage and analyze geospatial data in the cloud
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Graph Data Modeling in Python. A practical guide to curating, analyzing, and modeling data with graphs
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Inżynieria danych w praktyce. Kluczowe koncepcje i najlepsze technologie
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Potoki danych. Leksykon kieszonkowy. Przenoszenie i przetwarzanie danych na potrzeby ich analizy
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Embedded Analytics
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Zaawansowana analiza danych w PySpark. Metody przetwarzania informacji na szeroką skalę z wykorzystaniem Pythona i systemu Spark
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Spark. Błyskawiczna analiza danych. Wydanie II
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Machine Learning Model Serving Patterns and Best Practices. A definitive guide to deploying, monitoring, and providing accessibility to ML models in production
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Modern Time Series Forecasting with Python. Explore industry-ready time series forecasting using modern machine learning and deep learning
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Scalable Data Architecture with Java. Build efficient enterprise-grade data architecting solutions using Java
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Learning Microsoft Power BI
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Serverless ETL and Analytics with AWS Glue. Your comprehensive reference guide to learning about AWS Glue and its features
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SQL for Data Analytics. Harness the power of SQL to extract insights from data - Third Edition
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Feature Store for Machine Learning. Curate, discover, share and serve ML features at scale
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Fundamentals of Data Engineering
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Data Democratization with Domo. Bring together every component of your business to make better data-driven decisions using Domo
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The Pandas Workshop. A comprehensive guide to using Python for data analysis with real-world case studies
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Excel 2021 i Microsoft 365. Przetwarzanie danych za pomocą tabel przestawnych
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The Tableau Workshop. A practical guide to the art of data visualization with Tableau
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Data Engineering with Google Cloud Platform. A practical guide to operationalizing scalable data analytics systems on GCP
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Getting Started with Elastic Stack 8.0. Run powerful and scalable data platforms to search, observe, and secure your organization
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Digital Transformation and Modernization with IBM API Connect. A practical guide to developing, deploying, and managing high-performance and secure hybrid-cloud APIs
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Data Engineering with Apache Spark, Delta Lake, and Lakehouse. Create scalable pipelines that ingest, curate, and aggregate complex data in a timely and secure way
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Power Query Cookbook. Use effective and powerful queries in Power BI Desktop and Dataflows to prepare and transform your data
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Data Science for Marketing Analytics. A practical guide to forming a killer marketing strategy through data analysis with Python - Second Edition
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Data Analytics Made Easy. Analyze and present data to make informed decisions without writing any code
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Software Architecture Patterns for Serverless Systems. Architecting for innovation with events, autonomous services, and micro frontends
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Tableau Strategies
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Amazon Redshift Cookbook. Recipes for building modern data warehousing solutions
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Hands-On Data Analysis with Pandas. A Python data science handbook for data collection, wrangling, analysis, and visualization - Second Edition
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Hands-On Financial Trading with Python. A practical guide to using Zipline and other Python libraries for backtesting trading strategies
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Skazany na sukces. Kariera w Data Science
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Scalable Data Streaming with Amazon Kinesis. Design and secure highly available, cost-effective data streaming applications with Amazon Kinesis
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Effortless App Development with Oracle Visual Builder. Boost productivity by building web and mobile applications efficiently using the drag-and-drop approach
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Hands-On Data Visualization
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Mastering PyTorch. Build powerful neural network architectures using advanced PyTorch 1.x features
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Data Pipelines Pocket Reference
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Język R i analiza danych w praktyce. Wydanie II
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Microsoft Power Platform Functional Consultant: PL-200 Exam Guide. Learn how to customize and configure Microsoft Power Platform and prepare for the PL-200 exam
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The Data Science Workshop. Learn how you can build machine learning models and create your own real-world data science projects - Second Edition
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Applied Deep Learning and Computer Vision for Self-Driving Cars. Build autonomous vehicles using deep neural networks and behavior-cloning techniques
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The Deep Learning Workshop. Learn the skills you need to develop your own next-generation deep learning models with TensorFlow and Keras
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The Data Analysis Workshop. Solve business problems with state-of-the-art data analysis models, developing expert data analysis skills along the way
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The Data Wrangling Workshop. Create your own actionable insights using data from multiple raw sources - Second Edition
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The Deep Learning with Keras Workshop. Learn how to define and train neural network models with just a few lines of code
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Building Analytics Teams. Harnessing analytics and artificial intelligence for business improvement
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Practical Data Analysis Using Jupyter Notebook. Learn how to speak the language of data by extracting useful and actionable insights using Python
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Mobile Deep Learning with TensorFlow Lite, ML Kit and Flutter. Build scalable real-world projects to implement end-to-end neural networks on Android and iOS
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Język R. Receptury. Analiza danych, statystyka i przetwarzanie grafiki. Wydanie II
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The Applied SQL Data Analytics Workshop. Develop your practical skills and prepare to become a professional data analyst - Second Edition
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Data science od podstaw. Analiza danych w Pythonie. Wydanie II
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Algorytmy dla bystrzaków
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The Data Science Workshop. A New, Interactive Approach to Learning Data Science
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Deep Learning with TensorFlow 2 and Keras. Regression, ConvNets, GANs, RNNs, NLP, and more with TensorFlow 2 and the Keras API - Second Edition
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Tableau Desktop Certified Associate: Exam Guide. Develop your Tableau skills and prepare for Tableau certification with tips from industry experts
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Microsoft Excel 2019 Przetwarzanie danych za pomocą tabel przestawnych
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Java Deep Learning Cookbook. Train neural networks for classification, NLP, and reinforcement learning using Deeplearning4j
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Developer, Advocate!. Conversations on turning a passion for talking about tech into a career
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SQL for Data Analytics. Perform fast and efficient data analysis with the power of SQL
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Cloud Native. Using Containers, Functions, and Data to Build Next-Generation Applications
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R Cookbook. Proven Recipes for Data Analysis, Statistics, and Graphics. 2nd Edition
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Geospatial Data Science Quick Start Guide. Effective techniques for performing smarter geospatial analysis using location intelligence
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Hands-On Data Analysis with Scala. Perform data collection, processing, manipulation, and visualization with Scala
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Hands-On Big Data Analytics with PySpark. Analyze large datasets and discover techniques for testing, immunizing, and parallelizing Spark jobs
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R Statistics Cookbook. Over 100 recipes for performing complex statistical operations with R 3.5
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Learning Tableau 2019. Tools for Business Intelligence, data prep, and visual analytics - Third Edition
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Data Wrangling with Python. Creating actionable data from raw sources
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Hands-On Business Intelligence with Qlik Sense. Implement self-service data analytics with insights and guidance from Qlik Sense experts
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Hands-On Blockchain for Python Developers. Gain blockchain programming skills to build decentralized applications using Python
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Advanced MySQL 8. Discover the full potential of MySQL and ensure high performance of your database
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Hands-On Data Science with the Command Line. Automate everyday data science tasks using command-line tools
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Hands-On Machine Learning for Algorithmic Trading. Design and implement investment strategies based on smart algorithms that learn from data using Python
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Machine Learning with Apache Spark Quick Start Guide. Uncover patterns, derive actionable insights, and learn from big data using MLlib
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Deep Learning with PyTorch Quick Start Guide. Learn to train and deploy neural network models in Python
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Tableau 10 Complete Reference. Transform your business with rich data visualizations and interactive dashboards with Tableau 10
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Apache Spark 2: Data Processing and Real-Time Analytics. Master complex big data processing, stream analytics, and machine learning with Apache Spark
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Apache Ignite Quick Start Guide. Distributed data caching and processing made easy
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Blockchain By Example. A developer's guide to creating decentralized applications using Bitcoin, Ethereum, and Hyperledger
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Hands-On Data Science with R. Techniques to perform data manipulation and mining to build smart analytical models using R
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Practical Site Reliability Engineering. Automate the process of designing, developing, and delivering highly reliable apps and services with SRE
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Mastering Matplotlib 2.x. Effective Data Visualization techniques with Python
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Splunk 7.x Quick Start Guide. Gain business data insights from operational intelligence
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Apache Hadoop 3 Quick Start Guide. Learn about big data processing and analytics
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Getting Started with Haskell Data Analysis. Put your data analysis techniques to work and generate publication-ready visualizations
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Machine Learning with scikit-learn Quick Start Guide. Classification, regression, and clustering techniques in Python
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Data science od podstaw. Analiza danych w Pythonie
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Mastering Puppet 5. Optimize enterprise-grade environment performance with Puppet
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Data Science with SQL Server Quick Start Guide. Integrate SQL Server with data science
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Qlik Sense Cookbook. Over 80 recipes on data analytics to solve business intelligence challenges - Second Edition
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Hands-On Ensemble Learning with R. A beginner's guide to combining the power of machine learning algorithms using ensemble techniques
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fastText Quick Start Guide. Get started with Facebook's library for text representation and classification
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Getting Started with Kudu. Perform Fast Analytics on Fast Data
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Data Analysis with Polars. Get up and running with Polars to perform effective data analysis with Rust
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Python for Algorithmic Trading Cookbook. Recipes for designing, building, and deploying algorithmic trading strategies with Python
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Data Management Strategy at Microsoft. Best practices from a tech giant's decade-long data transformation journey
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Analiza statystyczna z IBM SPSS Statistics
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Cloud Analytics with Microsoft Azure. Build modern data warehouses with the combined power of analytics and Azure