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Data Analytics
Explore the World of Data Analytics
Welcome to the 'Data Analytics' category at Refhub.ir, a comprehensive resource for anyone interested in the profound, data-driven landscape that shapes our modern world. As data grows exponentially, understanding and harnessing its power becomes crucial for businesses, researchers, and technology enthusiasts alike. Our collection is designed to provide insights, techniques, and the latest strategies in data analytics.
Why Learn Data Analytics?
In today’s digitized environment, data analytics is the backbone of decision-making for organizations worldwide. Whether improving operational efficiency, predicting trends, or delivering personalized experiences, data analytics facilitates better understanding and insights across various fields. Learning data analytics empowers professionals to transform raw data into actionable information effectively.
What This Category Offers
The 'Data Analytics' category in our online bookstore provides an extensive selection of books covering various aspects of the field. From introductory guides for beginners to advanced resources for seasoned professionals, our collection is meticulously curated to cater to different skill levels and interests.
Key Topics Covered:
- Data Science: Dive into the fundamentals and advanced concepts, including machine learning, predictive modeling, and statistical analysis.
- Big Data: Explore large-scale data processing, storage solutions, and techniques to handle voluminous data efficiently.
- Tools and Technologies: Gain proficiency in popular tools such as Python, R, SQL, Hadoop, and Tableau through comprehensive guides and tutorials.
- Business Intelligence: Learn how to create compelling dashboards and reports that inform business decisions and strategy development.
- Data Visualization: Master the art of presenting data in a visually engaging way, making complex data accessible and understandable.
Curated Selection of Authors and Publishers
Our 'Data Analytics' category brings together books from renowned authors and leading publishers, ensuring you have access to quality content that is both reliable and up-to-date. These works are penned by industry experts, academic scholars, and practitioners with a wealth of experience in data analytics.
Designed for Diverse Audiences
Whether you’re a student aiming to build a strong foundation, a professional enhancing your data acumen, or an executive looking to make data-driven decisions, our collection accommodates all. We provide resources suitable for all educational backgrounds and professional experiences.
Stay Ahead with the Latest Trends
The field of data analytics is rapidly evolving with technological advancements and emerging trends. Our selection is regularly updated to include the latest publications that address contemporary challenges and innovative solutions in the industry.
Complement Your Learning
Beyond individual books, consider exploring complementary learning materials such as eBooks, journals, and newly released titles that delve deeper into specific topics or methodologies. This ensures a holistic and enriched learning experience.
Emerge as a Data Analytics Expert
By engaging with our 'Data Analytics' category, you position yourself at the forefront of this crucial field. Gain skills that are highly sought after in various sectors, preparing you for a successful career trajectory in data analytics.
Books
180 resultsMicrosoft Power BI Quick Start Guide: Build dashboards and visualizations to make your data come to life
Devin Knight; Brian Knight; Mitchell Pearson; Manuel Quintana
Chapman & Hall/CRC Biostatistics Series
Jeffrey Wilson, Ding-Geng Chen, Karl E. Peace
Excel 2021 for Beginners: A Step by Step Practical Guide on How to Use and Master Microsoft Excel's Features, Functions, and Formulas
Bradley, John
Sociometrics And Human Relationships: Analyzing Social Networks To Manage Brands, Predict Trends, And Improve Organizational Performance
Peter A. Gloor
R Through Excel: A Spreadsheet Interface for Statistics, Data Analysis, and Graphics
Richard M. Heiberger,Erich Neuwirth (auth.)
Practical Data Science With R
Nina Zumel,John Mount,Jeremy Howard,Rachel Thomas
Advancing the Power of Learning Analytics and Big Data in Education (Advances in Educational Technologies and Instructional Design)
Ana Azevedo (editor),José Manuel Azevedo (editor),James Onohuome Uhomoibhi (editor)
The Art and Science of Analyzing Software Data
Christian Bird,Tim Menzies,Thomas Zimmermann
Learning Google Analytics: Creating Business Impact and Driving Insights (3rd Release)
Mark Edmondson
Super Crunchers: Why Thinking-By-Numbers Is the New Way to Be Smart
Ayres, Ian
Think Stats: Exploratory Data Analysis, 3rd Edition
Allen B. Downey
Applied Time Series Analysis with R
Wayne A. Woodward,Henry L. Gray,Alan C. Elliott
Intelligent data warehousing: from data preparation to data mining
Zhengxin Chen
Data Mining Methods for the Content Analyst: An Introduction to the Computational Analysis of Content
Kalev Leetaru
Learning Google Analytics: Creating Business Impact and Driving Insights
Mark Edmondson
SQL for Data Analytics: Harness the power of SQL to extract insights from data, 3rd Edition
Jun Shan,Matt Goldwasser,Upom Malik,Benjamin Johnston
Excel 2021 for Beginners: A Step by Step Practical Guide on How to Use and Master Microsoft Excel's Features, Functions, and Formulas
Bradley, John
Excel 2022 Formulas & Functions: The Complete Step-By-Step Practical Guide for Microsoft Excel Formulas
WEBINAR, JOE
Statistical data analysis explained : applied environmental statistics with R
Clemens Reimann,Peter Filzmoser,Robert Garrett,Rudolf Dutter
SAS Essentials: Mastering SAS for Data Analytics
Wayne A. Woodward,Alan C. Elliott
Data Analytics: Models and Algorithms for Intelligent Data Analysis
Thomas A. Runkler (auth.)
Excellence in People Analytics: How to use workforce data to create business value
Jonathan FerrarandDavid Green
Modern Data Analytics in Excel: Using Power Query, Power Pivot, and More for Enhanced Data Analytics
George Mount
Decision Trees for Business Intelligence and Data Mining: Using SAS Enterprise Miner
Barry De Ville
Intelligent Data Analysis
André-Jösson, H.; Badal, D.Z.
Intelligent Data Analysis
Wang, Hao; Xu, Zhengquan; Jia, Shan
Data Science and Big Data Analytics
Durgesh Kumar Mishra,Xin-She Yang,Aynur Unal