Jordan Goldmeier - 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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The Ultimate Guide to Snowpark. Design and deploy Snowpark with Python for efficient data workloads
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Extending Excel with Python and R. Unlock the potential of analytics languages for advanced data manipulation and visualization
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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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Data Engineering with Scala and Spark. Build streaming and batch pipelines that process massive amounts of data using Scala
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Specyfikacja wymagań oprogramowania. Kluczowe praktyki analizy biznesowej
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Jak analizować dane z biblioteką Pandas. Praktyczne wprowadzenie. Wydanie II
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Developing Kaggle Notebooks. Pave your way to becoming a Kaggle Notebooks Grandmaster
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Data Science: The Hard Parts
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Analityk danych. Przewodnik po data science, statystyce i uczeniu maszynowym
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AI w Biznesie: Praktyczny Przewodnik Stosowania Sztucznej Inteligencji w Różnych Branżach
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Data Wrangling with SQL. A hands-on guide to manipulating, wrangling, and engineering data using SQL
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Natural Language Understanding with Python. Combine natural language technology, deep learning, and large language models to create human-like language comprehension in computer systems
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Building an Event-Driven Data Mesh
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Spark. Błyskawiczna analiza danych. Wydanie II
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Python Feature Engineering Cookbook. Over 70 recipes for creating, engineering, and transforming features to build machine learning models - Second Edition
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The TensorFlow Workshop. A hands-on guide to building deep learning models from scratch using real-world datasets
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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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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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Amazon Redshift Cookbook. Recipes for building modern data warehousing solutions
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Mastering Tableau 2021. Implement advanced business intelligence techniques and analytics with Tableau - Third Edition
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Interactive Dashboards and Data Apps with Plotly and Dash. Harness the power of a fully fledged frontend web framework in Python – no JavaScript required
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Machine Learning Automation with TPOT. Build, validate, and deploy fully automated machine learning models with Python
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Big Data. Krótkie Wprowadzenie 30
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Cleaning Data for Effective Data Science. Doing the other 80% of the work with Python, R, and command-line tools
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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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Umiejętności analityczne w pracy z danymi i sztuczną inteligencją. Wykorzystywanie najnowszych technologii w rozwijaniu przedsiębiorstwa
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Python Data Analysis. Perform data collection, data processing, wrangling, visualization, and model building using Python - Third Edition
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Hurtownie danych. Od przetwarzania analitycznego do raportowania. Wydanie II
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The Self-Service Data Roadmap
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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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Analytical Skills for AI and Data Science. Building Skills for an AI-Driven Enterprise
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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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Big data, nauka o danych i AI bez tajemnic. Podejmuj lepsze decyzje i rozwijaj swój biznes!
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R Bioinformatics Cookbook. Use R and Bioconductor to perform RNAseq, genomics, data visualization, and bioinformatic analysis
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Algorytmy Data Science. Siedmiodniowy przewodnik. Wydanie II
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Hands-On Deep Learning with Go. A practical guide to building and implementing neural network models using Go
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Hands-On Exploratory Data Analysis with R. Become an expert in exploratory data analysis using R packages
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Learn Chart.js. Create interactive visualizations for the Web with Chart.js 2
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Mastering Tableau 2019.1. An expert guide to implementing advanced business intelligence and analytics with Tableau 2019.1 - Second Edition
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Tableau 2019.x Cookbook. Over 115 recipes to build end-to-end analytical solutions using Tableau
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Python Deep Learning. Exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow - Second Edition
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Apache Kafka Quick Start Guide. Leverage Apache Kafka 2.0 to simplify real-time data processing for distributed applications
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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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Numerical Computing with Python. Harness the power of Python to analyze and find hidden patterns in the data
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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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Data Science Algorithms in a Week. Top 7 algorithms for scientific computing, data analysis, and machine learning - Second Edition
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MicroStrategy Quick Start Guide. Data analytics and visualizations for Business Intelligence
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Pentaho Data Integration Quick Start Guide. Create ETL processes using Pentaho
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Mastering Numerical Computing with NumPy. Master scientific computing and perform complex operations with ease
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Jupyter Cookbook. Over 75 recipes to perform interactive computing across Python, R, Scala, Spark, JavaScript, and more
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Hands-On Automated Machine Learning. A beginner's guide to building automated machine learning systems using AutoML and Python
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Seven NoSQL Databases in a Week. Get up and running with the fundamentals and functionalities of seven of the most popular NoSQL databases
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Learning AWK Programming. A fast, and simple cutting-edge utility for text-processing on the Unix-like environment
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Feature Engineering for Machine Learning. Principles and Techniques for Data Scientists
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Practical Computer Vision. Extract insightful information from images using TensorFlow, Keras, and OpenCV
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Machine Learning and Security. Protecting Systems with Data and Algorithms
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Practical Big Data Analytics. Hands-on techniques to implement enterprise analytics and machine learning using Hadoop, Spark, NoSQL and R
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Apache Kafka 1.0 Cookbook. Over 100 practical recipes on using distributed enterprise messaging to handle real-time data
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Learning Google BigQuery. A beginner's guide to mining massive datasets through interactive analysis
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Making Data Visual. A Practical Guide to Using Visualization for Insight
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Learning Pentaho Data Integration 8 CE. An end-to-end guide to exploring, transforming, and integrating your data across multiple sources - Third Edition
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Learning Apache Apex. Real-time streaming applications with Apex
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Big Data Analytics with SAS. Get actionable insights from your Big Data using the power of SAS
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MongoDB Administrator's Guide. Over 100 practical recipes to efficiently maintain and administer your MongoDB solution
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Machine Learning with R Cookbook. Analyze data and build predictive models - Second Edition
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Jupyter for Data Science. Exploratory analysis, statistical modeling, machine learning, and data visualization with Jupyter
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Raportowanie w System Center Configuration Manager Bez tajemnic
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Hands-On Deep Learning with TensorFlow. Uncover what is underneath your data!
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Deep Learning. A Practitioner's Approach
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Statistics for Machine Learning. Techniques for exploring supervised, unsupervised, and reinforcement learning models with Python and R
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Mastering Java Machine Learning. A Java developer's guide to implementing machine learning and big data architectures
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Practical Data Science Cookbook. Data pre-processing, analysis and visualization using R and Python - Second Edition
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R: Mining spatial, text, web, and social media data. Create and customize data mining algorithms
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Apache Spark 2.x Cookbook. Over 70 cloud-ready recipes for distributed Big Data processing and analytics
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Zapytania w języku T-SQL w Microsoft SQL Server 2014 i SQL Server 2012
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Mastering Spark for Data Science. Lightning fast and scalable data science solutions
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Python Data Analysis. Data manipulation and complex data analysis with Python - Second Edition
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Splunk: Enterprise Operational Intelligence Delivered. Machine data made accessible
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Fast Data Processing Systems with SMACK Stack. Click here to enter text
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Learning Jupyter. Select, Share, Interact and Integrate with Jupyter Not
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R: Recipes for Analysis, Visualization and Machine Learning. Click here to enter text
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Programming Pig. Dataflow Scripting with Hadoop. 2nd Edition
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R for Data Science Cookbook. Over 100 hands-on recipes to effectively solve real-world data problems using the most popular R packages and techniques
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Advanced Machine Learning with Python. Solve challenging data science problems by mastering cutting-edge machine learning techniques in Python
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R: Data Analysis and Visualization. Click here to enter text
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Advanced Splunk. Click here to enter text
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Learning Probabilistic Graphical Models in R. Familiarize yourself with probabilistic graphical models through real-world problems and illustrative code examples in R
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Google Analytics. Integracja i analiza danych
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The New Relational Database Dictionary. Terms, Concepts, and Examples
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Getting Started with Python Data Analysis. Learn to use powerful Python libraries for effective data processing and analysis
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Data Analysis and Business Modeling with Excel 2013. Manage, analyze, and visualize data with Microsoft Excel 2013 to transform raw data into ready to use information
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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
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Spark Cookbook. With over 60 recipes on Spark, covering Spark Core, Spark SQL, Spark Streaming, MLlib, and GraphX libraries this is the perfect Spark book to always have by your side
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Mastering R for Quantitative Finance. Use R to optimize your trading strategy and build up your own risk management system
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Apache Hive Essentials. Immerse yourself on a fantastic journey to discover the attributes of big data by using Hive
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R Graph Essentials
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Business Intelligence with MicroStrategy Cookbook. Over 90 practical, hands-on recipes to help you build your MicroStrategy business intelligence project, including more than a 100 screencasts with this book and
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Pentaho Data Integration Beginner's Guide. Get up and running with the Pentaho Data Integration tool using this hands-on, easy-to-read guide with this book and ebook - Second Edition
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View Updating and Relational Theory. Solving the View Update Problem
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MapReduce Design Patterns. Building Effective Algorithms and Analytics for Hadoop and Other Systems
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100 sposobów na Excel 2007 PL. Tworzenie funkcjonalnych arkuszy
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Ethics of Big Data. Balancing Risk and Innovation
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Getting Started with Storm
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Hurtownie danych. Od przetwarzania analitycznego do raportowania
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Microsoft SQL Server. Modelowanie i eksploracja danych
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Big Data Now: Current Perspectives from O'Reilly Radar
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Enterprise SOA. Designing IT for Business Innovation
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Database in Depth. Relational Theory for Practitioners
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SQL dla analityków danych. Kurs video. Kompleksowe przygotowanie do pracy
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Grafana. Kurs video. Monitorowanie, analiza i wizualizacja danych w czasie rzeczywistym
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Elasticsearch. Kurs video. Pozyskiwanie i analiza danych
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Analiza danych w Tableau. Kurs video. Podstawy pracy analityka
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Analiza danych w Pythonie. Kurs video. Pracuj z Jupyter, Pandas i Matplotlib
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Excel - tabele przestawne. Kurs video. Raporty i analiza danych
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Excel 2013. Kurs video. Poziom drugi. Przetwarzanie i analiza danych
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Mistrz analizy danych. Od danych do wiedzy. Wydanie II
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Analiza statystyczna z IBM SPSS Statistics
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Learning Python Data Visualization
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Data science, trudne elementy. Jak stać się ekspertem w danologii