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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 resultsExcel 2021 for Beginners: A Step by Step Practical Guide on How to Use and Master Microsoft Excel's Features, Functions, and Formulas
Bradley, John
The data warehouse ETL toolkit : practical techniques for extracting, cleaning, conforming, and delivering data
Ralph Kimball; Joe Caserta
Basic Statistics: Understanding Conventional Methods and Modern Insights
Rand R. Wilcox
SAS Essentials: Mastering SAS for Data Analytics
Alan C. Elliott,Wayne A. Woodward
Environment and Planning B: Urban Analytics and City Science
Li, Xiaojiang
The Data Warehouse Lifecycle Toolkit : Expert Methods for Designing, Developing, and Deploying Data Warehouses
Ralph Kimball, Laura Reeves, Margy Ross, Warren Thornthwaite,
Environment and Planning B: Urban Analytics and City Science
Xu, Wenfei
DataStory: Explain Data and Inspire Action Through Story
Nancy Duarte
Modern Data Analytics in Excel: Using Power Query, Power Pivot, and More for Enhanced Data Analytics
George Mount
MrExcel XL The 40 Greatest Excel Tips of All Time
Bill Jelen and Szilvia Juhasz
Excellence in People Analytics: How to use workforce data to create business value
Jonathan FerrarandDavid Green
Decision Trees for Business Intelligence and Data Mining: Using SAS Enterprise Miner
Barry De Ville
MICROSOFT EXCEL 2022 FOR BEGINNERS: Step-by-Step Practical Guide to Master Excel 2022 & Excel 365 in 7 Days or Less
BINN, CARTY
The Data Warehouse ETL Toolkit : Practical Techniques for Extracting, Cleaning, Conforming, and Delivering Data
Ralph Kimball
SQL for Data Analytics: Perform fast and efficient data analysis with the power of SQL
Upom Malik,Matt Goldwasser,Benjamin Johnston
SQL for Data Analytics: Harness the power of SQL to extract insights from data, 3rd Edition
Jun Shan,Matt Goldwasser,Upom Malik,Benjamin Johnston
Statistics and Data with R: An Applied Approach Through Examples
Yosef Cohen,Jeremiah Y. Cohen
MICROSOFT EXCEL FORMULAS & FUNCTIONS: Step-by-Step Practical Guide to Master Excel Formulas & Functions
BINN, CARTY
Data Mining for Business Intelligence: Concepts, Techniques, and Applications in Microsoft Office Excel (r) with XLMiner (r)
Patel, Nitin R.;Bruce, Peter C.;Shmueli, Galit
Data Warehousing and Data Mining for Telecommunications
Rob Mattison
Hands-On Data Preprocessing in Python: Learn how to effectively prepare data for successful data analytics
Roy Jafari
Emerging Trends in Learning Analytics : Leveraging the Power of Education Data
Myint Swe Khine
Mastering Excel Through Projects: A Learn-by-Doing Approach from Payroll to Crypto to Data Analysis
Hong Zhou;(auth.)
Power Excel 2019 with Mrexcel : Master Pivot Tables, Subtotals, Charts, VLOOKUP, IF, Data Analysis in Excel 2010-2013.
Bill Jelen
R Cookbook: Proven Recipes for Data Analysis, Statistics, and Graphics
Jd Long,Paul Teetor
Excel 2021: A Step by Step Beginners Course to Master Microsoft Excel Through Exercises and Illustrations
Martin Jackson
The Analysis of Time Series: An Introduction, Fifth Edition
C. Chatfield
Microsoft Power BI Quick Start Guide: Build dashboards and visualizations to make your data come to life
Devin Knight; Brian Knight; Mitchell Pearson; Manuel Quintana
Excel 2021 - A Step By Step Guide With Various Strategies, Ideas, Tips And Tricks For Being A Microsoft Excel Expert
Sandoval, Russ
Learning Elastic Stack 6.0 a beginner's guide to distributed search, analytics, and visualization using Elasticsearch, Logstash, and Kibana
Kumar, Sharath;Shukla, Pranav