Take full control of your PC security. Monitor network connections on a live global map, analyze files with over 70 antivirus engines and block threats instantly - all without monthly subscriptions. Whats New
Updates: official site does not provide any info about changes in this version
Napisane przez: charlie - 19-01-2026, 18:58 - Forum: Propozycje
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[center] Becky! Internet Mail 2.83.01
File size: 7.5 MB[/center]
Becky Internet Mail is a multi-featured E-mail client specialized for Windows and the Internet. Since its birth in 1996, we kept improving its functionalities listening to the users' feedback, and it has become one of the most successful shareware e-mail products. Becky Internet Mail is an email client that creates multiple mailboxes. You will find many features which are expected for an Internet E-mail software, and some of them would be beyond your expectations. It has almost every feature that are needed for e-mail client and has nothing that are only useful for the marketing hype. Its no-nonsense usability is widely supported by not only individual users but also large companies and schools, especially in Japan. Features
• You can create not only multiple mailboxes but also create multiple profiles for each mailbox. That will make very flexible mailbox management for people who has a lot of e-mail accounts.
• It supports POP3, IMAP4, SMTP (with or without SSL).
• For its features, the program size is unbelievably compact. It is developed with good old C++ and optimized for Windows, which promises quick response in every aspect.
• You can view and write HTML mail within Becky! using Microsoft IE's inline component.
• The useful "Template" feature allows you to create templates for everyday's fixed work, that will incredibly save your time.
• The friendly "Reminder" feature allows you to deliver messages from you to you on the scheduled date.
• The powerful filtering manager allows you to create very flexible filtering rule that can contain almost infinite And/Or conditions and various filtering actions. You can also quickly make a filtering rule by drag&drop with Alt key.
• The "Mailing lists Manager" can manage many mailing list that you have subscribed in one window.
• Its "Plug-in Interface" allows the third parties to create powerful add-on programs.
• You can bring out your Becky! in your USB memory using "Sync With Portable Media" functionality. You can plug-in your USB memory to any Windows computer and she is there! It leaves virtually no footprint on the target computer, so it is ideal for Internet Cafe.
• Its "Query" feature searches strings in any folders, and this Query result can be saved as a folder.
• Its unique "Agents" feature can manage non-urgent work like "Need Reply in Xdays", "Wait for Reply", etc. You can forget about those chores and concentrate on the important work. Whats New
- Added "Custom OAuth2 Browser" in "General Setup" > "Advanced".
Napisane przez: charlie - 19-01-2026, 18:57 - Forum: Propozycje
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[center]
Certified Ai-Driven Root Cause Analysis Professional
Released 1/2026
By Rahul Iyer
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + subtitle | Duration: 4h 1m | Size: 5 GB[/center]
AI-Powered Diagnosis. Structured Thinking. Prevention That Scales
Artificial Intelligence has dramatically changed how problems are detected. What it has not automatically changed is how problems are truly understood.
AI can generate answers in seconds. But without structured reasoning, those answers can still be incomplete, biased, or misleading. Speed alone does not guarantee insight.
This certification program exists to close that gap.
The Certified AI-Driven Root Cause Analysis Professional course brings together disciplined Root Cause Analysis (RCA) methodology and the analytical capabilities of ChatGPT and modern AI tools, enabling professionals to move beyond surface-level fixes and toward lasting prevention.
Because solving problems faster means nothing if the real cause is never found.
When Problems Keep Returning, the Cause Was Never Eliminated
Every defect, delay, failure, outage, or customer complaint leaves behind signals.
Those signals appear in
System logs and performance data
Incident and audit reports
Customer feedback and escalation records
Process documentation and operational metrics
Yet in many organizations, these signals are reviewed in isolation. Teams jump to conclusions, implement quick fixes, and move on.
The pattern usually looks like this
A symptom is addressed
A reasonable explanation is accepted
A corrective action is implemented
The issue reappears in another form
AI can help you process more information. Structured Root Cause Analysis helps you reach the truth.
This course teaches you how to combine human judgment with AI-assisted reasoning so investigations go deeper, conclusions are defensible, and solutions actually prevent recurrence.
Why Root Cause Analysis Must Evolve with AI
Today's organizations generate far more data than traditional RCA approaches were designed to handle. Information is spread across dashboards, ticketing systems, databases, emails, and documents.
Manually connecting these dots is slow and error-prone.
AI becomes a powerful ally when guided correctly.
In this program, you learn how to use ChatGPT and AI tools to
Identify hidden relationships across complex and unstructured data
Transform raw inputs into structured RCA artifacts
Accelerate analysis using SIPOC, 5 Whys, Fishbone, and Affinity methods
Generate and test cause hypotheses using logic instead of assumptions
Ask sharper questions that guide AI toward meaningful insights
AI does not replace analytical thinking. It strengthens it when structure is applied.
Why This Certification Exists
Organizations lose enormous value by treating symptoms instead of systems. Issues are resolved temporarily, reports are closed, and confidence returns, until the same failure resurfaces.
The underlying cause was never removed.
This certification was created to help professionals shift from reactive problem solving to systematic cause elimination.
By combining proven RCA frameworks with AI-driven insight, this program ensures that investigations lead to
Clear logic
Evidence-based conclusions
Sustainable corrective actions
Not faster guesses. Not cosmetic fixes. Decisions that hold up over time.
Napisane przez: charlie - 19-01-2026, 18:56 - Forum: Propozycje
- Brak odpowiedzi
[center]
Certification In People Analytics And Employee Experience
Published 1/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 10h 3m | Size: 8.47 GB[/center]
Learn Data Collection and Management for People Analytics, Core People Analytics Metrics and KPIs, Statistical Analysis
What you'll learn
You will learn the fundamentals of People Analytics and Employee Experience Design, Introduction to People Analytics and Employee Experience Design
You will explore the key concepts, understand how data can be used to improve employee experience, and study how People Analytics and EX intersect
You will understand the essentials of data collection and management for People Analytics, Foundations of Data Collection and Management
You will gain knowledge of core People Analytics metrics and KPIs, Core People Analytics Metrics and KPIs
You will explore the basics of statistical analysis and key tools used in People Analytics, Introduction to Statistical Analysis and Tools for People Analytic
You will study Employee Experience Design frameworks; Understanding Employee Experience Design Framework
You will master advanced People Analytics techniques, Advanced People Analytics Techniques
You will learn how to integrate Employee Experience with well-being and DEI (Diversity, Equity, and Inclusion), Integrating EX with Employee Well-being & DEI
You will understand the technologies and trends shaping the future of People Analytics, Technology and the Future of People Analytics
Requirements
You should have an interest in human resources, employee experience, and how data can transform HR decision-making.
Familiarity with basic HR concepts and tools like Excel, HR dashboards, or HRIS systems is recommended but not mandatory.
Description
Learn Data Collection and Management for People Analytics, Core People Analytics Metrics and KPIs, Statistical Analysis and Tool, Employee Experience Design Framework, Integrating EX with Employee Well-being and DEIDescriptionTake the Next Step in Your HR Journey with People Analytics and Employee Experience Design!Whether you are an aspiring HR professional, a business strategist, an entrepreneur, or a data enthusiast, this course will equip you with the knowledge and practical skills to understand, implement, and apply people analytics and employee experience (EX) design. You will explore how data, analytics, and modern HR tools are transforming organizations - from smarter talent acquisition and predictive workforce planning to improved employee engagement, well-being, and retention.Guided by real-world examples and hands-on exercises, you will:Master the fundamentals of People Analytics and Employee Experience Design, including workforce planning, employee engagement, performance management, and EX frameworks.Gain practical experience with HR analytics platforms, AI-powered tools, and case studies to design and evaluate impactful HR and EX strategies.Explore real-world applications such as recruitment optimization, attrition prediction, skills gap analysis, well-being initiatives, and leadership development.Understand ethical, legal, and governance challenges in people analytics, including privacy, fairness, transparency, and compliance.Position yourself for future growth by learning about the latest innovations and emerging trends shaping people analytics, EX design, and HR technology.The Frameworks of the CourseEngaging video lectures, real-world case studies, projects, downloadable resources, and interactive exercises - designed to help you deeply understand People Analytics concepts, Employee Experience design, and their practical applications.· The course includes multiple HR case studies and resources such as templates, worksheets, quizzes, reading materials, self-assessments, and hands-on activities to strengthen your ability to apply People Analytics strategies.· In the first part of the course, you'll learn the foundations of People Analytics and Employee Experience design, explore the importance of data collection and management, and understand the key metrics and KPIs that shape workforce insights.· In the middle part of the course, you will develop a strong foundation in statistical analysis, employee experience design frameworks, and advanced People Analytics techniques like predictive analytics, machine learning, NLP, and organizational network analysis.· In the final part of the course, you will study how to integrate Employee Experience with well-being and DEI, explore technologies and trends shaping the future of People Analytics, and complete a capstone project to apply your learning in a practical, outcome-driven way. Full support will be provided throughout your journey, with queries addressed within 48 hours.Course Contentart 1Introduction and Study Plan· Introduction and know your instructor· Study Plan and Structure of the CourseModule 1: Introduction to People Analytics and Employee Experience Design1.1. Foundations of People Analytics1.2. Employee Experience (EX) Design1.3. Intersection of People Analytics and Employee Experience1.4. Strategic Implementation1.5. Future of People Analytics and Employee Experience Design1.6. ConclusionModule 2: Foundations of Data Collection and Management for People Analytics2.1. Understanding Data in People Analysis2.2. Ethics and Privacy in Data Collection2.3. Data Management Essentials2.4. From Data to Insights2.5. Challenges and Future Outlook2.6. ConclusionModule 3: Core People Analytics Metrics and KPIs3.1. Employee Retention and Hiring Metrics3.2. Employee Engagement and Experience Metrics3.3. Diversity, Inclusion, and Mobility Metrics3.4. Performance and Productivity Metrics3.5. Implementing Core Metrics and KPIs in People Analytics3.6. ConclusionModule 4: Introduction to Statistical Analysis and Tools for People Analytics4.1. Core Statistical Techniques in People Analytics4.2. Key Statistical Tools for People Analytics4.3. Implementing Statistical Analysis in People Analytics4.4. ConclusionModule 5: Understanding Employee Experience Design Framework5.1. Key Components of the Employee Experience Design Framework5.2. Benefits and Implementation5.3. ConclusionModule 6: Advanced People Analytics Techniques6.1. Predictive Analytics for Workforce Planning6.2. Machine Learning for Talent Acquisition6.3. Organizational Network Analysis (ONA)6.4. Natural Language Processing (NLP) for Sentiment and Engagement Analysis6.5 Workforce Segmentation for Targeted HR Strategies6.6. Prescriptive Analytics for Actionable Insights6.7. Advanced Data Visualization for People Analytics Insights6.8. Implementing Advanced People Analytics Techniques6.9. ConclusionModule 7: Integrating EX with Employee Well-being and DEI (Diversity, Equity, and Inclusion)7.1. Understanding the Intersections of EX, Well-being, and DEI7.2. EX, Well-being Key Strategies for Integrating, and DEI7.3. Challenges and Solutions integration7.4. Benefits of Integrating EX, Well-being, and DEI7.5. ConclusionMODULE 8: Technology and the Future of People Analytics8.1. Core Technologies Driving People Analytics8.2. Key Trends Shaping the Future of People Analytics8.3. Tools and Platforms for People Analytics8.4. Challenges and Considerations8.5. ConclusionPart 2MODULE 9. Capstone Project
Who this course is for
HR professionals, talent managers, and people leaders who want to use data-driven insights to improve workforce planning, engagement, and employee satisfaction.
Business leaders, executives, and decision-makers seeking to align employee experience with organizational strategy and drive higher productivity and retention.
Data analysts, aspiring people analysts, and HR tech enthusiasts who are interested in applying analytics, metrics, and AI tools within the HR domain.
Consultants, organizational psychologists, and change management professionals aiming to design better employee journeys and workplace experiences.
Students and early-career professionals in HR, business, and analytics who want to build future-ready skills at the intersection of data, people, and design thinking.
HomepageScreenshot
Napisane przez: charlie - 19-01-2026, 18:55 - Forum: Propozycje
- Brak odpowiedzi
[center]
Application Security - The Complete Guide
Last updated 12/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 12h 13m | Size: 10.2 GB[/center]
Developing security in the Software Development Life Cycle (SDLC)
What you'll learn
Learn how to become an application security champion.
What is the OWASP Top 10 and how to defend against those vulnerabilities.
Use of threat modeling to identify threats and mitigation in development features.
How to perform a threat model on an application.
How to perform a vulnerability scan of an application.
Rating security vulnerabilities using standard and open processes.
How to correct common security vulnerabilities in code.
How application security fits in an overall cyber security program
Building security in to the software development life cycle.
Requirements
Basic programming knowledge
Understanding of IT systems and how software is deployed in operational environments
Description
Every company is a software company, and it' becoming more difficult to secure applications. In an era where cyber threats are ever-evolving and increasingly sophisticated, securing applications from the ground up is more essential than ever. This course is a robust, all-encompassing course designed to equip software developers, and security professionals with the knowledge and tools necessary to protect their applications throughout the entire software development lifecycle (SDLC).This course begins by introducing participants to foundational security concepts such as "Defense in Depth," where we explore the anatomy of attacks, including vulnerabilities, exploits, and payloads, using real-world examples like the "PrintNightmare" vulnerability. We will examine how to implement multiple layers of security to build a comprehensive defense strategy against these threats. As participants progress, they will gain a deep understanding of essential security principles, including confidentiality, integrity, and availability (CIA), alongside key practices for managing authentication, authorization, and session management.A significant portion of the course is dedicated to modern challenges in application security, such as API security. Participants will learn how Application Programming Interfaces (APIs) function within web applications, the risks they pose, and the strategies to secure them effectively. This includes a deep dive into industry standards and frameworks like the OWASP Top 10, which highlight the most critical security risks to web applications today. We'll explore the nuances of implementing robust security controls, risk rating methodologies such as those from NIST, FAIR, OWASP, and CIS RAM, and how to develop and enforce these controls to counteract various security threats.Participants will also delve into advanced topics like software supply chain security, ensuring the integrity of software from development to deployment. The course covers the full spectrum of vulnerability management, from identification and evaluation to remediation and reporting, providing participants with the skills needed to maintain the security and integrity of IT systems continuously.A thorough exploration of cryptographic techniques, including hashing, encryption (both symmetric and asymmetric), and the use of digital certificates and Public Key Infrastructure (PKI), will be provided to ensure that participants can protect sensitive data and secure communications effectively. We will cover JSON Web Tokens (JWTs), JSON Web Encryption (JWE), and JSON Web Signatures (JWS) to illustrate how these technologies are used to secure data transmissions in web applications.As the course progresses, participants will explore the critical integration of security within the DevOps process, known as DevSecOps. Here, we emphasize the importance of embedding security practices early and continuously throughout the development lifecycle. We'll examine the security of Continuous Integration and Continuous Deployment (CI/CD) pipelines, understanding how to secure these processes against unauthorized access, code tampering, and other threats. Participants will learn to implement security testing tools, including Static Application Security Testing (SAST), Dynamic Application Security Testing (DAST), Interactive Application Security Testing (IAST), Runtime Application Self-Protection (RASP), Web Application Firewalls (WAF), and more!Moreover, the course will cover emerging areas like Application Security Posture Management (ASPM), which offers a comprehensive view of the security health of software applications by integrating various security practices and tools. This holistic approach ensures that organizations can manage vulnerabilities, configuration weaknesses, and compliance with security policies across the entire application lifecycle.Practical demonstrations and hands-on activities will allow participants to apply what they've learned in real-world scenarios. From exploring attack trees and threat modeling techniques to conducting penetration tests and leveraging tools like CodeQL for secure coding, participants will gain valuable experience in identifying, mitigating, and responding to security threats.By the end of this course, participants will have developed a deep, nuanced understanding of application security. They will be able to integrate security practices seamlessly into the SDLC, ensuring their applications are not only functional but resilient and secure against the full spectrum of cyber threats. Whether you're a seasoned security professional or a developer new to application security, this course will empower you with the knowledge and skills to build and maintain secure, reliable software in today's digital landscape.
Who this course is for
Software developers interested in developing more secure software.
Security practitioners
Software and security engineering leaders
Cyber security professionals
Napisane przez: charlie - 19-01-2026, 18:54 - Forum: Propozycje
- Brak odpowiedzi
[center]
Agentic Ai: Understanding The Future Of Autonomous Ai System
Published 1/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 40m | Size: 254 MB[/center]
Master the Future of AI: Build Autonomous, Intelligent Systems Without Coding
What you'll learn
Understand Agentic AI Fundamentals Learners will be able to explain what Agentic AI is, its evolution from traditional AI, and its key characteristics.
Apply Core Frameworks and Architectures Learners will gain practical knowledge of agent architecture models, the BDI framework, and goal-oriented planning .
Utilize Tools and Techniques for Agentic AI Development Learners will learn how to integrate foundation models, apply prompt engineering, manage memory,MAS
Analyze Market Trends and Address Challenges Learners will be able to evaluate industry adoption patterns, identify ethical and technical challenges
Requirements
Requirements or Prerequisites Basic Computer Skills: Ability to navigate software and online tools. Familiarity with AI Concepts (Optional): A general understanding of AI or machine learning is helpful but not required. No Coding Required: This course is designed for non-programmers and beginners.
Description
Agentic AI: Understanding the Future of Autonomous AI SystemsStep into the next era of Artificial Intelligence with Agentic AI-the technology that empowers autonomous, intelligent systems to reason, plan, and act. This beginner-friendly course is designed to help you master the concepts, frameworks, and tools behind Agentic AI without writing a single line of code.What You'll LearnFoundations of Agentic AIUnderstand what Agentic AI is, its evolution, and why it's the future of intelligent systems.Core Frameworks & ArchitecturesExplore BDI (Belief-Desire-Intention), GOAP (Goal-Oriented Action Planning), and agent architecture models.Practical Tools & TechniquesLearn prompt engineering, memory management, multi-agent systems, and integration strategies.Market Trends & Future OpportunitiesAnalyze industry adoption, emerging startups, and technology convergence shaping Agentic AI.Ethics & Risk MitigationAddress safety, alignment, and regulatory challenges for responsible AI development.Actionable RoadmapBuild your first Agentic AI system and develop a strategy for real-world implementation.Why This Course?Beginner-Friendly: No coding experience required.Hands-On Resources: Templates, cheat sheets, and implementation guides included.Future-Proof Skills: Stay ahead in one of the fastest-growing AI domains.Real-World Applications: Case studies like AutoGPT and enterprise use cases.Who Is This Course For?AI enthusiasts and beginners curious about autonomous systems.Business professionals and entrepreneurs exploring AI-driven automation.Product managers and tech strategists looking to understand agent-based workflows.Students and researchers interested in cutting-edge AI frameworks.Enroll now and unlock the future of AI with Agentic AI!
Who this course is for
This course is designed for anyone curious about the next generation of AI systems and how autonomous agents are shaping the future. It's perfect for: Business Professionals & Entrepreneurs who want to leverage Agentic AI for automation and innovation. Product Managers & Tech Strategists looking to understand agent-based workflows and market trends. AI Enthusiasts & Beginners eager to explore cutting-edge concepts without needing coding skills. Students & Researchers interested in frameworks like BDI, GOAP, and multi-agent systems. Consultants & Freelancers aiming to offer AI-driven solutions to clients.
Adobe Experience Manager Developer Course | The Complete Guide
What you'll learn
Adobe Experience Manager - 6.5.11 Service Pack
All the AEM concepts required to work on real world projects
All the authoring aspects including components, templates, workflows, etc.
All the coding aspects including sling models, event listener, HTL, custom logger, etc.
Requirements
AEM Jar file along with license properties file
Laptop with Java / Maven installed
Basic knowledge of Java / HTML / Javascript / CSS
Description
Adobe Experience Manager (AEM), is a comprehensive content management solution for building websites, mobile apps and forms. And it makes it easy to manage your marketing content and assets.Prerequisite:Basic knowledge of JavaBasic knowledge of HTML / JS / CSSAEM jar file along with the license properties file and service pack 11Who is this course for?The course is perfect for beginner/intermediate level AEM developers. In this course we will cover all the practical concepts required to build and deliver a site in AEM. We will be using AEM version 6.5 with Service Package 11.Contents of the course:The course will cover the following topics:AEM SitesContent Pages - home page and other content pagesAEM AssetsMetadata schemaAsset SearchAsset RenditionsAsset Home Page ExperienceDuplicate DetectionAsset Upload RestrictionContent AuthoringCore ComponentsCustom ComponentsEditable TemplatesContent FragmentsExperience FragmentsPresentation LayerHTL - HTML Template LanguageClientlibsOperationsCustom LoggerPackage ManagerSingle Sign-OnReplication AgentsAEM DispatchersProcessesAEM WorkflowsRunmodesSling resolutionAPIsGraphQL APISling Models JSON ExporterMulti-domain / Multi-LingualMSM Language CopyMSM Live CopyMSM Live Copy OverviewSEOCore Components Sitemap XMLPage PropertiesThe course will cover best practices in all of the above topics. At the end of the course, you'll have a solid understanding of all the topics required to work on a real world project. This course will also help developers prepare for the Adobe certification exam.
Who this course is for
Basic / Intermediate level AEM developers
Napisane przez: charlie - 19-01-2026, 18:52 - Forum: Propozycje
- Brak odpowiedzi
[center] Addinsoft Zenplot 1.1.0
File size: 71.2 MB[/center]
ZENPLOT®, developed by Addinsoft is a data visualization software which allows you to create various charts. It is possible to import one or several datasets and create your own visualizations by stacking different graphic layers. 8 graphic layers are available
Scatter Plot
Line Chart
Bar Chart
Heatmap/2D Surface
Area Chart
Histogram
Labels
Annotations
The combination of these different layers, associated with axes and legend customization, considerably increases the number of possible visualizations. The data can be linked to any characteristic of the different layers (color, shapes, etc.).
The user can also annotate the visualizations with image(s), text(s) or shape(s) through a user-friendly interface. Each chart can be exported in .PNG or .SVG formats.
ZENPLOT® comes with different themes that will allow you to customize your visualizations very fast. Whats New
Updates: official site does not provide any info about changes in this version
![[Obrazek: 823fb2583d5b5cebf299d1b586b473fc.avif]](https://i126.fastpic.org/big/2026/0119/fc/823fb2583d5b5cebf299d1b586b473fc.avif)
![[Obrazek: 69e6874c0dd155ee5f5a662f8b3ae919.jpg]](https://i126.fastpic.org/big/2026/0119/19/69e6874c0dd155ee5f5a662f8b3ae919.jpg)
![[Obrazek: 51eeb33ab93a4c09822e2d17b55bfee8.jpg]](https://i126.fastpic.org/big/2026/0119/e8/51eeb33ab93a4c09822e2d17b55bfee8.jpg)
![[Obrazek: d5895390ddf4d4b92bca122fc904a814.png]](https://i126.fastpic.org/big/2026/0119/14/d5895390ddf4d4b92bca122fc904a814.png)
art 1Introduction and Study Plan· Introduction and know your instructor· Study Plan and Structure of the CourseModule 1: Introduction to People Analytics and Employee Experience Design1.1. Foundations of People Analytics1.2. Employee Experience (EX) Design1.3. Intersection of People Analytics and Employee Experience1.4. Strategic Implementation1.5. Future of People Analytics and Employee Experience Design1.6. ConclusionModule 2: Foundations of Data Collection and Management for People Analytics2.1. Understanding Data in People Analysis2.2. Ethics and Privacy in Data Collection2.3. Data Management Essentials2.4. From Data to Insights2.5. Challenges and Future Outlook2.6. ConclusionModule 3: Core People Analytics Metrics and KPIs3.1. Employee Retention and Hiring Metrics3.2. Employee Engagement and Experience Metrics3.3. Diversity, Inclusion, and Mobility Metrics3.4. Performance and Productivity Metrics3.5. Implementing Core Metrics and KPIs in People Analytics3.6. ConclusionModule 4: Introduction to Statistical Analysis and Tools for People Analytics4.1. Core Statistical Techniques in People Analytics4.2. Key Statistical Tools for People Analytics4.3. Implementing Statistical Analysis in People Analytics4.4. ConclusionModule 5: Understanding Employee Experience Design Framework5.1. Key Components of the Employee Experience Design Framework5.2. Benefits and Implementation5.3. ConclusionModule 6: Advanced People Analytics Techniques6.1. Predictive Analytics for Workforce Planning6.2. Machine Learning for Talent Acquisition6.3. Organizational Network Analysis (ONA)6.4. Natural Language Processing (NLP) for Sentiment and Engagement Analysis6.5 Workforce Segmentation for Targeted HR Strategies6.6. Prescriptive Analytics for Actionable Insights6.7. Advanced Data Visualization for People Analytics Insights6.8. Implementing Advanced People Analytics Techniques6.9. ConclusionModule 7: Integrating EX with Employee Well-being and DEI (Diversity, Equity, and Inclusion)7.1. Understanding the Intersections of EX, Well-being, and DEI7.2. EX, Well-being Key Strategies for Integrating, and DEI7.3. Challenges and Solutions integration7.4. Benefits of Integrating EX, Well-being, and DEI7.5. ConclusionMODULE 8: Technology and the Future of People Analytics8.1. Core Technologies Driving People Analytics8.2. Key Trends Shaping the Future of People Analytics8.3. Tools and Platforms for People Analytics8.4. Challenges and Considerations8.5. ConclusionPart 2MODULE 9. Capstone Project![[Obrazek: _82fe4b3397d881a4679fdefb121599ff.jpg]](https://i126.fastpic.org/big/2026/0119/ff/_82fe4b3397d881a4679fdefb121599ff.jpg)
![[Obrazek: a7665dd1eeba3854c2c2d87ad483ddda.jpg]](https://i126.fastpic.org/big/2026/0119/da/a7665dd1eeba3854c2c2d87ad483ddda.jpg)
![[Obrazek: cb4279c3156fafaa167fbbb9fc831b0a.jpg]](https://i126.fastpic.org/big/2026/0119/0a/cb4279c3156fafaa167fbbb9fc831b0a.jpg)
![[Obrazek: 5c1015a6145e9645745d87d37577f860.avif]](https://i126.fastpic.org/big/2026/0119/60/5c1015a6145e9645745d87d37577f860.avif)
