Join our product experts to discuss best practices for unifying identity and network access with the Microsoft Entra Suite 

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The Data Analysis Workshop teaches you how to analyze and interpret data to solve real-world business problems effectively. By working through practical examples and datasets, you'll gain actionable insights into modern analytic techniques and build your confidence as a data analyst. What this Book will help me do Understand and apply fundamental data analysis concepts and techniques to tackle diverse datasets. Perform rigorous hypothesis testing and analyze group differences within data sets. Create informative data visualizations using Python libraries like Matplotlib and Seaborn. Understand and use correlation metrics to identify relationships between variables. Leverage advanced data manipulation techniques to uncover hidden patterns in complex datasets. Author(s) The authors, Gururajan Govindan, Shubhangi Hora, and Konstantin Palagachev, are experts in data science and analytics with years of experience in industry and academia. Their background includes performing business-critical analysis for companies and teaching students how to approach data-driven decision-making. They bring their depth of knowledge and engaging teaching styles together in this approachable guide. Who is it for? This book is intended for programmers with proficiency in Python who want to apply their skills to the field of data analysis. Readers who have a foundational understanding of coding and are eager to implement hands-on data science techniques will gain the most value. The content is also suitable for anyone pursuing a data-driven problem-solving mindset. This is an excellent resource to help transition from basic coding proficiency to applying Python in real-world data science.

This IBM Redbooks publication documents the procedures for implementing IBM OmniFind Enterprise Edition Version 8.4 technology in a single-server Windows environment, two-server Linux environment, and a four-server AIX environment. Supported data sources include DB2, Windows file system, DB2 Content Manager, Lotus Domino, Lotus Quickplace, WebSphere Portal Server, Web Content Management (WCM), and Portal Document Manager (PDM). Tivoli Directory Server (TDS) is the LDAP repository used in the scenarios. It is aimed at IT architects and search administrators who are responsible for managing IBM OmniFind Enterprise Edition on Windows 2003, Red Hat Enterprise Linux, and AIX platforms. The book offers a step-by-step approach to implementing a single-server, two-server, and four-server IBM OmniFind Enterprise Edition environment using typical customer scenarios. Please note that the additional material referenced in the text is not available from IBM.