BOOKS - OS AND DB - Principles of managerial statistics and data science
Principles of managerial statistics and data science - Rivera, Roberto 2020 PDF Wiley BOOKS OS AND DB
ECO~23 kg CO²

2 TON

Views
69070

Telegram
 
Principles of managerial statistics and data science
Author: Rivera, Roberto
Year: 2020
Pages: 678
Format: PDF
File size: 15,8 MB
Language: ENG



Pay with Telegram STARS
''

You may also be interested in:

SQL for Data Analysis Advanced Techniques for Transforming Data into Insights (Final)
Streaming Data Mesh: A Model for Optimizing Real-Time Data Services
Azure Data Factory by Example Practical Implementation for Data Engineers, 2nd Edition
Controlling Privacy and the Use of Data Assets - Volume 2 What is the New World Currency – Data or Trust?
Data Quality Engineering in Financial Services Applying Manufacturing Techniques to Data
Data Warehouse and Data Mining Concepts, techniques and real life applications
IBM Cloud Pak for Data: An enterprise platform to operationalize data, analytics, and AI
Power BI Give Life to Your Data With the Complete and Fastest Crash Course on Data Visualization
Unifying Business, Data, and Code: Designing Data Products With Json Schema
Integrity Constraints on Rich Data Types (Synthesis Lectures on Data Management)
Explainable Machine Learning for Geospatial Data Analysis A Data-Centric Approach
Foundations for Architecting Data Solutions Managing Successful Data Projects
Data as a Service A Framework for Providing Reusable Enterprise Data Services
Data Analytics and Machine Learning Navigating the Big Data Landscape
The Shape of Data: Geometry-Based Machine Learning and Data Analysis in R
Fundamentals of Data Engineering: Plan and Build Robust Data Systems
Introduction to Data Science Data Wrangling and Visualization with R, 2nd Edition
SQL for Data Analysis: Advanced Techniques for Transforming Data into Insights
Network Security through Data Analysis From Data to Action, 2nd Edition
Python Data Science Handbook: Essential Tools for Working with Data
I Heart Logs Event Data, Stream Processing, and Data Integration
The Visual Organization Data Visualization, Big Data, and the Quest for Better Decisions
Data Visualisation A Handbook for Data Driven Design 2nd Edition
Effective Data Science Infrastructure How to Make Data Scientists Productive
R for Data Science Import, Tidy, Transform, Visualize, and Model Data
Data Mesh Delivering Data-Driven Value at Scale (Third Early Release)
Data and AI Driving Smart Cities (Studies in Big Data, 128)
Data Wrangling on AWS: Clean and organize complex data for analysis
Data Analytics and Machine Learning Navigating the Big Data Landscape
Multi-dimensional Urban Sensing Using Crowdsensing Data (Data Analytics)
Python Data Science Handbook Essential Tools for Working with Data
Agile Data Science Building Data Analytics Applications with Hadoop
Effective Data Science Infrastructure How to make data scientists productive (MEAP Version 7)
Data Universe: Organizational Insights with Python: Embracing Data Driven Decision Making
Data Centric Artificial Intelligence: A Beginner|s Guide (Data-Intensive Research)
Training Data for Machine Learning Human Supervision from Annotation to Data Science (Final)
Agile Data Science 2.0 Building Full-Stack Data Analytics Applications with Spark
Python for Data Analysis Data Wrangling with Pandas, NumPy, and IPython, 2nd Edition
Big Data, Small Devices Investigating the Natural World Using Real-Time Data
R Graphics Essentials for Great Data Visualization +200 Practical Examples You Want to Know for Data Science