Jordan Goldmeier - książki
Tytuły autora: dostępne w księgarni Ebookpoint
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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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Practical Machine Learning with H2O. Powerful, Scalable Techniques for Deep Learning and AI
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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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Python: Deeper Insights into Machine Learning. Deeper Insights into Machine Learning
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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 for Data Science. Learn and explore the fundamentals of data science with R
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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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Sztuczna inteligencja na froncie. Kurs video. Uczenie maszynowe w JavaScript
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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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Machine Learning with R Cookbook
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Learning Python Data Visualization
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Data science, trudne elementy. Jak stać się ekspertem w danologii