Andy Pandharikar, Frederik Bussler - książki
Tytuły autora: dostępne w księgarni Ebookpoint
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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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Extending Excel with Python and R. Unlock the potential of analytics languages for advanced data manipulation and visualization
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Specyfikacja wymagań oprogramowania. Kluczowe praktyki analizy biznesowej
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Alteryx Designer Cookbook. Over 60 recipes to transform your data into insights and take your productivity to a new level
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Building ETL Pipelines with Python. Create and deploy enterprise-ready ETL pipelines by employing modern methods
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Fundamentals of Data Observability
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Data Wrangling with SQL. A hands-on guide to manipulating, wrangling, and engineering data using SQL
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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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Geospatial Data Analytics on AWS. Discover how to manage and analyze geospatial data in the cloud
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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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Data Forecasting and Segmentation Using Microsoft Excel. Perform data grouping, linear predictions, and time series machine learning statistics without using code
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AI-Powered Commerce. Building the products and services of the future with Commerce.AI
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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 Analytics Made Easy. Analyze and present data to make informed decisions without writing any code
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Statystyka praktyczna w data science. 50 kluczowych zagadnień w językach R i Python. Wydanie II
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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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The Self-Service Data Roadmap
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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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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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The Data Science Workshop. A New, Interactive Approach to Learning Data Science
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Microsoft Excel 2019 Przetwarzanie danych za pomocą tabel przestawnych
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Hands-On Deep Learning Algorithms with Python. Master deep learning algorithms with extensive math by implementing them using TensorFlow
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Redash v5 Quick Start Guide. Create and share interactive dashboards using Redash
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MicroStrategy Quick Start Guide. Data analytics and visualizations for Business Intelligence
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Qlik Sense Cookbook. Over 80 recipes on data analytics to solve business intelligence challenges - Second Edition
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Getting Started with Kudu. Perform Fast Analytics on Fast Data
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Implementing Oracle API Platform Cloud Service. Design, deploy, and manage your APIs in Oracle’s new API Platform
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Artificial Intelligence for Big Data. Complete guide to automating Big Data solutions using Artificial Intelligence techniques
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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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Mastering Apache Solr 7.x. An expert guide to advancing, optimizing, and scaling your enterprise search
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Teradata Cookbook. Over 85 recipes to implement efficient data warehousing solutions
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Qlik Sense: Advanced Data Visualization for Your Organization. Create smart data visualizations and predictive analytics solutions
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R Data Mining. Implement data mining techniques through practical use cases and real-world datasets
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Learning Elasticsearch. Structured and unstructured data using distributed real-time search and analytics
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Advanced Analytics with Spark. Patterns for Learning from Data at Scale. 2nd Edition
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D3.js 4.x Data Visualization. Learn to visualize your data with JavaScript - Third Edition
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Learning Apache Cassandra. Managing fault-tolerant, scalable data with high performance - Second Edition
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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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QGIS:Becoming a GIS Power User. Master data management, visualization, and spatial analysis techniques in QGIS and become a GIS power user
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Hadoop Blueprints. Click here to enter text
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Introduction to Machine Learning with Python. A Guide for Data Scientists
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Hadoop: Data Processing and Modelling. Data Processing and Modelling
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Tableau: Creating Interactive Data Visualizations. Creating Interactive Data Visualizations
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Machine Learning for the Web. Gaining insight and intelligence from the internet with Python
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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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Hadoop Real-World Solutions Cookbook. Over 90 hands-on recipes to help you learn and master the intricacies of Apache Hadoop 2.X, YARN, Hive, Pig, Oozie, Flume, Sqoop, Apache Spark, and Mahout - Second Edition
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Spark. Zaawansowana analiza danych
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Creating a Data-Driven Organization
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Analiza danych w naukach ścisłych i technice
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Interactive Applications Using Matplotlib
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Mastering Hadoop. Go beyond the basics and master the next generation of Hadoop data processing platforms
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Analiza i prezentacja danych w Microsoft Excel. Vademecum Walkenbacha. Wydanie II
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matplotlib Plotting Cookbook. Discover how easy it can be to create great scientific visualizations with Python. This cookbook includes over sixty matplotlib recipes together with clarifying explanations to ensure you can produce plots of high quality
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Microsoft System Center Configuration Manager. Deploy a scalable solution by ensuring high availability and disaster recovery using Configuration Manager with this book and
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Analiza i prezentacja danych w Microsoft Excel. Vademecum Walkenbacha
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Getting Started with Oracle Event Processing 11g. Create and develop real-world scenario Oracle CEP applications
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Managing Data as a Product. A comprehensive guide to designing and building data product-centered socio-technical architectures
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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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Tableau 10 Bootcamp. Intensive training for data visualization and dashboarding