Biznes IT

Książki online z kategorii Biznes IT pomogą Ci opanować takie zagadnienia techniczne, jak analiza danych, blockchain, czy programowanie. Znajdziesz tutaj także świetne pozycje dotyczące reklamy internetowej i ogólnie tego, jak z powodzeniem prowadzić biznes online. Omawiają one choćby to, jak analizować dane marketingowe oraz budować dobrą relację z klientem.

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Power Excel with MrExcel. Master Pivot Tables, Subtotals, VLOOKUP, Power Query, Dynamic Arrays & Data Analysis

MrExcel's Holy Macro! Books, Bill Jelen

Power Query Cookbook. Use effective and powerful queries in Power BI Desktop and Dataflows to prepare and transform your data

Andrea Janicijevic

Power Query w Excelu i Power BI. Zbieranie i przekształcanie danych

Gil Raviv

Poznaj Microsoft Power BI. Przekształcanie danych we wnioski

Jeremey Arnold

Poznaj Tableau 2022. Wizualizacja danych, interaktywna analiza danych i umiejętność data storytellingu. Wydanie V

Joshua N. Milligan

Practical Big Data Analytics. Hands-on techniques to implement enterprise analytics and machine learning using Hadoop, Spark, NoSQL and R

Nataraj Dasgupta

Practical Business Intelligence. Optimize Business Intelligence for Efficient Data Analysis

Ahmed Sherif

Practical Change Management for IT Projects. Transform your IT project and make change stick with this step-by-step guide with this book and

Emily Carr

Practical Computer Vision. Extract insightful information from images using TensorFlow, Keras, and OpenCV

Abhinav Dadhich

Practical Convolutional Neural Networks. Implement advanced deep learning models using Python

Mohit Sewak, Md. Rezaul Karim, Pradeep Pujari

Practical Data Analysis. For small businesses, analyzing the information contained in their data using open source technology could be game-changing. All you need is some basic programming and mathematical skills to do just that

Hector Cuesta

Practical Data Analysis. Pandas, MongoDB, Apache Spark, and more - Second Edition

Hector Cuesta, Dr. Sampath Kumar

Practical Data Analysis Using Jupyter Notebook. Learn how to speak the language of data by extracting useful and actionable insights using Python

Marc Wintjen, Andrew Vlahutin

Practical Data Quality. Learn practical, real-world strategies to transform the quality of data in your organization

Robert Hawker, Nicola Askham

Practical Data Science Cookbook. Data pre-processing, analysis and visualization using R and Python - Second Edition

Prabhanjan Narayanachar Tattar, Bhushan Purushottam Joshi, Sean Patrick Murphy, ABHIJIT DASGUPTA, ...

Practical Data Wrangling. Expert techniques for transforming your raw data into a valuable source for analytics

Allan Visochek

Practical Deep Learning at Scale with MLflow. Bridge the gap between offline experimentation and online production

Yong Liu, Dr. Matei Zaharia

Practical GIS. Learn novice to advanced topics such as QGIS, Spatial data analysis, and more

Gábor Farkas

Practical Guide to Applied Conformal Prediction in Python. Learn and apply the best uncertainty frameworks to your industry applications

Valery Manokhin, Agus Sudjianto

Practical Machine Learning Cookbook. Supervised and unsupervised machine learning simplified

Atul Tripathi

Practical Machine Learning on Databricks. Seamlessly transition ML models and MLOps on Databricks

Debu Sinha

Practical Machine Learning with R. Define, build, and evaluate machine learning models for real-world applications

Brindha Priyadarshini Jeyaraman, Ludvig Renbo Olsen, Monicah Wambugu

Practical Predictive Analytics. Analyse current and historical data to predict future trends using R, Spark, and more

Ralph Winters

Practical Real-time Data Processing and Analytics. Distributed Computing and Event Processing using Apache Spark, Flink, Storm, and Kafka

Shilpi Saxena, Saurabh Gupta