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🚀 Unleash the Power of C++ with our Exclusive Advanced Master Classes! 🚀 Ready to elevate your C++ skills to the next level? Dive deep into the world of Object-Oriented Programming (OOP) and Templates with our cutting-edge online course: 'Learn C++ Advanced: Master Classes on OOPs and Templates.'   🔥 What You'll Gain: ✅ Mastery of OOP Concepts: Go beyond the basics and discover advanced OOP principles that will make your code more robust, scalable, and maintainable. ✅ Template Magic: Unlock the true potential of C++ templates and learn how to leverage them for generic programming, creating flexible and efficient code. ✅ Real-world Applications: Gain practical insights by working on hands-on projects and real-world case studies, applying your newfound knowledge to solve complex problems. ✅ Expert Guidance: Learn from industry experts with years of experience in C++ development. Our instructors are dedicated to helping you grasp even the most challenging concepts. ✅ Comprehensive Curriculum: Cover a wide range of advanced C++ topics, from smart pointers and inheritance to template metaprogramming and design patterns. ✅ Lifetime Access: Get access to course materials, updates, and a vibrant community for a lifetime. Stay current with the latest C++ trends and technologies. ✅ Certification of Completion: Showcase your expertise with a prestigious certificate upon successfully completing the course. Stand out to employers and peers alike.   💡 Who Is This Course For? Whether you're a seasoned C++ developer looking to enhance your skills or a passionate learner eager to delve into advanced programming concepts, this course is tailored for you. It's the perfect stepping stone for those aiming to become elite C++ developers.   🌐 Why Choose Our Course? 🚀 Engaging Content: Our modules are designed for maximum engagement, combining video lectures, coding exercises, quizzes, and real-world projects.   🤝 Community Support: Join a thriving community of learners and interact with instructors and peers. Exchange ideas, seek help, and collaborate on projects.   🌟 Proven Results: Our students have reported increased confidence and success in their professional endeavors after completing our courses. Don't miss the opportunity to become a C++ master! Enroll now and unlock the full potential of your programming journey. Course Curriculum Module- 1 Introduction 00:00 Course Curriculum 00:00 Getting started on windows, mac or Linux 00:00 How to ask great questions 00:00 FAQ's 00:00 Get and Installing Visual Studio Editor 00:00 Creating First Project 00:00 C++ Hello World Program 00:00 Compile and Run a CPP Program 00:00 Module- 2 Introduction 00:00 What are oops 00:00 Data structures 00:00 What are access modifiers 00:00 Module- 3 Introduction 00:00 Creating a class 00:00 Creating an objects 00:00 Class methods 00:00 Adding parameters 00:00 Constructors 00:00 Constructor with parameters 00:00 Default constructor 00:00 The destructor 00:00 Get and set methods 00:00 Access modifiers 00:00 Static members 00:00 Module- 4 Introduction 00:00 Constant objects and functions 00:00 Pointers to class and object 00:00 Array of objects 00:00 Module- 5 Introduction 00:00 Overloading the equality operator 00:00 Overloading the stream insertion operator 00:00 Overloading the stream insertion operator 00:00 Overloading the binary arithmetic operators 00:00 Overloading the assignment operators 00:00 Overloading the unary operators 00:00 Overloading the subscript operator 00:00 Inline functions 00:00 Module- 6 Introduction 00:00 Inheritance 00:00 Protected members 00:00 Constructors and Inheritance 00:00 Destructors and Inheritance 00:00 Overriding methods 00:00 Polymorphism 00:00 Abstract classes 00:00 Final classes and methods 00:00 Deep inheritance and methods 00:00 Multiple Inheritance 00:00 Module- 7 Multiple Inheritance 00:00 What are exceptions 00:00 Throwing an exception 00:00 Catching an exception 00:00 Catching multiple exceptions 00:00 Create custom exceptions 00:00 Module- 8 Introduction 00:00 Creating a function template 00:00 Function template arguments 00:00 Overloading a function template 00:00 Creating a class template 00:00 Templates with multiple parameters 00:00

Dive deep into the vast realm of Python data science with our meticulously crafted course: 'Python Data Science with Numpy, Pandas and Matplotlib'. Explore the intricate details of Python, setting the stage with Pandas and Numpy, before delving into the power of Python data structures. With topics ranging from Python Strings to Matplotlib Histograms, you'll gain a holistic insight, ensuring that every dataset you touch unveils its story compellingly. So, if you're keen on transmuting raw data into visual masterpieces or insights, this journey is tailor-made for you. Learning Outcomes Grasp foundational knowledge of Python and its data structures like strings, lists, and dictionaries. Understand the potential of NumPy, from basic array operations to handling multi-dimensional arrays. Master the versatility of Pandas, encompassing everything from dataframe conversions to intricate operations like aggregation and binning. Efficiently manage, manipulate, and transform data using Pandas' diverse functionalities. Create visually striking and informative graphs using the power of Matplotlib. Why buy this Python Data Science with Numpy, Pandas and Matplotlib course? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Python Data Science with Numpy, Pandas and Matplotlib there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this Python Data Science with Numpy, Pandas and Matplotlib course for? Beginners eager to jumpstart their journey in Python data science. Analysts looking to enhance their data manipulation skills using Python. Statisticians keen on expanding their toolset with Python-based libraries. Data enthusiasts desiring a deep dive into Python's data libraries and structures. Professionals aiming to upgrade their data visualisation techniques. Prerequisites This Python Data Science with Numpy, Pandas and Matplotlib does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Python Data Science with Numpy, Pandas and Matplotlib was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path Data Scientist: £40,000 - £80,000 Python Developer: £35,000 - £70,000 Data Analyst: £30,000 - £55,000 Business Intelligence Analyst: £32,000 - £60,000 Research Analyst: £28,000 - £52,000 Data Visualization Engineer: £33,000 - £65,000 Course Curriculum Course Introduction and Table of Contents Course Introduction and Table of Contents 00:09:00 Introduction to Python, Pandas and Numpy Introduction to Python, Pandas and Numpy 00:07:00 System and Environment Setup System and Environment Setup 00:08:00 Python Strings Python Strings - Part 1 00:11:00 Python Strings - Part 2 00:09:00 Python Numbers and Operators Python Numbers and Operators - Part 1 00:06:00 Python Numbers and Operators - Part 2 00:07:00 Python Lists Python Lists - Part 1 00:05:00 Python Lists - Part 2 00:06:00 Python Lists - Part 3 00:05:00 Python Lists - Part 4 00:07:00 Python Lists - Part 5 00:07:00 Tuples in Python Tuples in Python 00:06:00 Sets in Python Sets in Python - Part 1 00:05:00 Sets in Python - Part 2 00:04:00 Python Dictionary Python Dictionary - Part 1 00:07:00 Python Dictionary - Part 2 00:07:00 NumPy Library - Introduction NumPy Library Intro - Part 1 00:05:00 NumPy Library Intro - Part 2 00:05:00 NumPy Library Intro - Part 3 00:06:00 NumPy Array Operations and Indexing NumPy Array Operations and Indexing - Part 1 00:04:00 NumPy Array Operations and Indexing - Part 2 00:06:00 NumPy Multi-Dimensional Arrays NumPy Multi-Dimensional Arrays - Part 1 00:07:00 NumPy Multi-Dimensional Arrays - Part 2 00:06:00 NumPy Multi-Dimensional Arrays - Part 3 00:05:00 Introduction to Pandas Series Introduction to Pandas Series 00:08:00 Introduction to Pandas Dataframes Introduction to Pandas Dataframes 00:07:00 Pandas Dataframe conversion and drop Pandas Dataframe conversion and drop - Part 1 00:06:00 Pandas Dataframe conversion and drop - Part 2 00:06:00 Pandas Dataframe conversion and drop - Part 3 00:07:00 Pandas Dataframe summary and selection Pandas Dataframe summary and selection - Part 1 00:06:00 Pandas Dataframe summary and selection - Part 2 00:06:00 Pandas Dataframe summary and selection - Part 3 00:07:00 Pandas Missing Data Management and Sorting Pandas Missing Data Management and Sorting - Part 1 00:07:00 Pandas Missing Data Management and Sorting - Part 2 00:07:00 Pandas Hierarchical-Multi Indexing Pandas Hierarchical-Multi Indexing 00:06:00 Pandas CSV File Read Write Pandas CSV File Read Write - Part 1 00:05:00 Pandas CSV File Read Write - Part 2 00:07:00 Pandas JSON File Read Write Pandas JSON File Read Write Operations 00:07:00 Pandas Concatenation Merging and Joining Pandas Concatenation Merging and Joining - Part 1 00:05:00 Pandas Concatenation Merging and Joining - Part 2 00:04:00 Pandas Concatenation Merging and Joining - Part 3 00:04:00 Pandas Stacking and Pivoting Pandas Stacking and Pivoting - Part 1 00:06:00 Pandas Stacking and Pivoting - Part 2 00:05:00 Pandas Duplicate Data Management Pandas Duplicate Data Management 00:07:00 Pandas Mapping Pandas Mapping 00:04:00 Pandas Grouping Pandas Groupby 00:06:00 Pandas Aggregation Pandas Aggregation 00:09:00 Pandas Binning or Bucketing Pandas Binning or Bucketing 00:08:00 Pandas Re-index and Rename Pandas Re-index and Rename - Part 1 00:04:00 Pandas Re-index and Rename - Part 2 00:05:00 Pandas Replace Values Pandas Replace Values 00:05:00 Pandas Dataframe Metrics Pandas Dataframe Metrics 00:07:00 Pandas Random Permutation Pandas Random Permutation 00:08:00 Pandas Excel sheet Import Pandas Excel sheet Import 00:07:00 Pandas Condition Selection and Lambda Function Pandas Condition Selection and Lambda Function - Part 1 00:05:00 Pandas Condition Selection and Lambda Function - Part 2 00:05:00 Pandas Ranks Min Max Pandas Ranks Min Max 00:06:00 Pandas Cross Tabulation Pandas Cross Tabulation 00:07:00 Matplotlib Graphs and plots Graphs and plots using Matplotlib - Part 1 00:06:00 Graphs and plots using Matplotlib - Part 2 00:02:00 Matplotlib Histograms Matplotlib Histograms 00:03:00 Resource File Resource File - Python Data Science with Numpy, Pandas and Matplotlib 00:00:00

🚀 Unlock Your Financial Future with 'Strategic Wealth Blueprint: A MasterClass in Financial Planning' 🚀   Are you tired of financial uncertainty? Do you dream of achieving true wealth and financial freedom? Look no further! Welcome to the 'Strategic Wealth Blueprint: A MasterClass in Financial Planning' - your key to unlocking the secrets of financial success.   🌟 What You'll Gain from This MasterClass: ✅ Strategic Wealth Building Techniques: Learn the proven strategies that successful individuals use to build and grow their wealth strategically. No more guessing - it's time to have a clear roadmap to financial success.   ✅ Personalized Financial Planning: Tailor your financial plan to fit your unique goals, aspirations, and lifestyle. This MasterClass empowers you with the knowledge and tools to create a plan that works for YOU.   ✅ Investment Mastery: Discover the art and science of smart investing. From stocks and real estate to alternative investments, you'll gain the insights needed to make informed decisions and maximize your returns.   ✅ Risk Management Strategies: Understand how to protect your wealth from unforeseen challenges. Learn how to assess and manage risks effectively, ensuring a secure and resilient financial future.   ✅ Passive Income Generation: Explore various avenues for creating passive income streams, allowing you to build wealth while you sleep. Say goodbye to the traditional 9-to-5 and hello to financial independence.   ✅ Tax Optimization Techniques: Navigate the complex world of taxes with confidence. Uncover legal strategies to minimize your tax liability and keep more of your hard-earned money in your pocket.   🎓 Why Choose 'Strategic Wealth Blueprint'? 🌐 Accessible Anytime, Anywhere: Learn at your own pace from the comfort of your home. Our online platform allows you to access the MasterClass content whenever and wherever it suits you.   👩‍💼 Expert Instructors: Benefit from the expertise of seasoned financial professionals who have a track record of success in wealth management. Our instructors are committed to guiding you on your journey to financial mastery.   🤝 Community Support: Join a vibrant community of like-minded individuals who share your aspirations. Exchange ideas, ask questions, and build valuable connections with fellow participants.   📈 Invest in Your Financial Future Today! Ready to take control of your financial destiny? Enroll in the 'Strategic Wealth Blueprint' MasterClass now and embark on a transformative journey toward financial success.   🔥 Don't miss out on this opportunity! Act now to secure your spot and start building the wealth you deserve. Your financial freedom awaits - let's make it happen together!     Course Curriculum Part 01- Introduction Financial Concepts Covered 00:00 Part 01- Justifying Your Financials For Best Results Justifying Your Financials 00:00 Why Financials Matter 00:00 Keys to Success 00:00 Why Are Financials Important to Investors 00:00 Why Businesses Fail 00:00 Part 01- Overcome Roadblocks to Financial Planning Financial Challenges of Entrepreneurs 00:00 Part 01- Create Your Financial Plan Financial Resolve 00:00 Part 01- Create Your Revenue Model Financial Projections Top-Down 00:00 Financial Projections Bottom-Up 00:00 Advantages and Disadvantages of Top-Down vs Bottom-Up 00:00 Revenue Models 00:00 Financial Statements 00:00 Make Your Financials Believable 00:00 Part 02- Revenue Worksheet Walk-Through Revenue Models Explained 00:00 Financial Worksheets Overview 00:00 The Revenue Worksheet 00:00 The Four Pricing Models 00:00 Part 02- Revenue Model Walk-Through When to Count Your Revenue 00:00 Your Revenue Model 00:00 The Revenue Worksheet - Walk-Through 00:00 The Revenue Worksheet Unit Based Model 00:00 The Revenue Worksheet Billing Based Model 00:00 The Revenue Worksheet The Subscription Recurring Revenue Model 00:00 Part 03- Your Staffing Model Your Staffing Model 00:00 Employee ROI Staffing Classifications 00:00 Part 03- Staffing Model Walk-Through Working with the Staffing Worksheet 00:00 Inputting Contractors 00:00 Employee Overhead 00:00 Part 03- Your Expense Model Expense Model Explained 00:00 Part 03- Expense Model Walk-Through Expense Worksheet Explained 00:00 Part 04- Income Statement Explained Income Statement and Cash Flow Considerations 00:00 Income Statement (P_L) Basics 00:00 Income Statement (P_L) Tells a Story about Your Business 00:00 Part 04- Income Statement Walk-Through Explained 5 Key Areas of an Income Statement (P_L) 00:00 Income Statement (P_L) Inputs 00:00 Part 04- Cash Flow Statement The Cash Flow Statement Worksheet 00:00 Modeling Styles Aggressive, Conservative, and Most Likely 00:00

Duration 4 Days 24 CPD hours This course is intended for Data Modelers Overview Please refer to course overview This offering provides participants with introductory to advanced knowledge of metadata modeling concepts, and how to model metadata for predictable reporting and analysis results using IBM Cognos Framework Manager. Participants will learn the full scope of the metadata modeling process, from initial project creation, to publishing of metadata to the web, enabling end users to easily author reports and analyze data. Introduction to IBM Cognos Framework Manager Model data and identifying related data Define requirements and modeling strategies Overview of IBM Cognos Framework Manager Create a baseline project Extend a model Prepare reusable metadata Model for predictable results in IBM Cognos Framework Manager Identify query issues Identify reporting traps Model virtual star schemas Use query subjects, modify relationships, and consolidate metadata using virtual objects Create calculations, filter data, and customize metadata for runtime Implement a time dimension and specify determinants Model for presentation in IBM Cognos Framework Manager Create a presentation view Examine data source query subject types and stored procedure query subject types Specify data security and package security Specify object security and dynamic data security Create analysis objects Manage OLAP data sources Advanced capabilities in IBM Cognos Framework Manager Explore SQL generation and the use of governors Examine the use of IBM Cognos SQL and generated SQL for DMR data Other query considerations Use session parameters, prompt macros, and security macro functions Use materialized views, minimize SQL, and enable Dynamic Query Mode (DQM) DQM, CQM, caching metadata, query processing, aggregate calculation, and other ways to improve performance Extended capabilities in IBM Cognos Framework Manager Perform basic maintenance and management on a model Remap metadata to another source and import and link additional data sources Run scripts to automate or update a model and report on a model Segment a project, link a project, and branch a model Nest packages and specify package languages and functions Explore additional modeling techniques and customize metadata for a multilingual audience Additional course details: Nexus Humans B6252 IBM Cognos Framework Manager: Design Metadata Models v11.1.x training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the B6252 IBM Cognos Framework Manager: Design Metadata Models v11.1.x course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 4 Days 24 CPD hours This course is intended for Data Modelers Overview Please refer to course overview This offering provides participants with introductory to advanced knowledge of metadata modeling concepts, and how to model metadata for predictable reporting and analysis results using Framework Manager. Participants will learn the full scope of the metadata modeling process, from initial project creation, to publishing of metadata to the web, enabling end users to easily author reports and analyze data. Introduction to IBM Cognos Framework Manager Model data and identifying related data Define requirements and modeling strategies Overview of IBM Cognos Framework Manager Create a baseline project Extend a model Prepare reusable metadata Model for predictable results in IBM Cognos Framework Manager Identify query issues Identify reporting traps Model virtual star schemas Use query subjects, modify relationships, and consolidate metadata using virtual objects Create calculations, filter data, and customize metadata for runtime Implement a time dimension and specify determinants Model for presentation in IBM Cognos Framework Manager Create a presentation view Examine data source query subject types and stored procedure query subject types Specify data security and package security Specify object security and dynamic data security Create analysis objects Manage OLAP data sources Advanced capabilities in IBM Cognos Framework Manager Explore SQL generation and the use of governors Examine the use of IBM Cognos SQL and generated SQL for DMR data Other query considerations Use session parameters, prompt macros, and security macro functions Use materialized views, minimize SQL, and enable Dynamic Query Mode (DQM) DQM, CQM, caching metadata, query processing, aggregate calculation, and other ways to improve performance Extended capabilities in IBM Cognos Framework Manager (Optional) Perform basic maintenance and management on a model Remap metadata to another source and import and link additional data sources Run scripts to automate or update a model and report on a model Segment a project, link a project, and branch a model Nest packages and specify package languages and functions Explore additional modeling techniques and customize metadata for a multilingual audience Additional course details: Nexus Humans B6152 IBM Cognos Framework Manager - Design Metadata Models v11.0.x training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the B6152 IBM Cognos Framework Manager - Design Metadata Models v11.0.x course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 1 Days 6 CPD hours This course is intended for This course is intended for: Developers System Administrators Solutions Architects Overview This course is designed to teach you how to: Design a microservices-based architecture that uses containers Use Amazon ECS to run and scale a microservices-based application Integrate Amazon ECS with other AWS services Running Container-Enabled Microservices on AWS is designed to teach you how to manage and scale container-enabled applications by using Amazon Elastic Container Service (ECS). This course highlights the challenges of running containerized applications at scale and provides guidance on creating and using Amazon ECS to develop and deploy containerized microservices-based applications. In the hands-on lab exercises you will use Amazon ECS to handle long-running services, build and deploy container images, link services together, and scale capacity to meet demand. You will also learn how to run container workers for asynchronous application processes. Module 1a: Overview of Microservices on AWS Welcome to Simple Mustache Service! The monolith What are microservices? How to implement a microservices infrastructure The six principles of microservices Module 1b: Containers and Docker Introduction to containers Comparing virtual machines with containers Docker Running containers Storing container images Hands-on lab: Building and running your first container Module 2: Continuous delivery for container-based microservices Compare and contrast different software development cycles Use AWS CodePipeline to code, build, and deploy a microservice Use AWS CodeCommit as a source control service Use Jenkins to perform a Docker build Use Postman to run and test microservices Use AWS CloudFormation to provision and deploy microservices Hands-on lab: Using the Amazon ECS Service Scheduler Module 3: High availability and scaling with Amazon Elastic Container Service High availability Cluster management and scheduling Monitoring Scaling a cluster Scaling services Hands-on lab: Continuous delivery pipelines for container-based microservices Module 4: Security for container-based microservices Implement security Apply best practices Automate security Evaluate compliance requirements Embed security into the CI/CD Hands-on lab: Extending Amazon ECS with Service Discovery and Config Management Additional course details: Nexus Humans Running Container Enabled Microservices on AWS training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Running Container Enabled Microservices on AWS course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 2 Days 12 CPD hours This course is intended for This course is designed for security experts and Check Point resellers who desire to obtain the necessary knowledge required to perform more advanced troubleshooting skills while managing their security environments. Overview Understand how to use Check Point diagnostic tools to determine the status of a network. Understand how to use network packet analyzers and packet capturing tools to evaluate network traffic.Become familiar with more advanced Linux system commands. Obtain a deeper knowledge of the Security Management architecture. Understand how the Management database is structured and how objects are represented in the database. Understand key Security Management Server processes and their debugs. Understand how GuiDBedit operates. Understand how the kernel handles traffic and how to troubleshoot issues with chain modules. Understand how to use the two main procedures for debugging the Firewall kernel and how they differ. Recognize User mode processes and how to interpret their debugs. Discuss how to enable and use core dumps. Understand the processes and components used for policy installs and processing packets in Access Control policies. Understand how to troubleshoot and debug issues that may occur with App Control and URLF. Understand how to debug HTTPS Inspection-related issues. Understand how to troubleshoot and debug Content Awareness issues. Understand how IPS works and how to manage performance issues. Understand how to troubleshoot Anti-Bot and Antivirus. Recognize how to troubleshoot and debug Site-to-Site VPN related issues. Understand how to troubleshoot and debug Remote Access VPNs. Understand how troubleshoot Mobile Access VPN issues. Recognize how to use SecureXL features and commands to enable and disable accelerated traffic. Understand how the server hardware and operating system affects the performance of Security Gateways. Understand how to evaluate hardware configurations for optimal performance. Provide advanced troubleshooting skills to investigate and resolve more complex issues that may occur while managing your Check Point Security environment. Course Outline Advanced Troubleshooting Management Database and Processes Advanced Kernel Debugging User Mode Troubleshooting Advanced Access Control Understanding Threat Prevention Advanced VPN Troubleshooting Acceleration and Performance Tuning Additional course details: Nexus Humans CCTE Check Point Troubleshooting Expert training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the CCTE Check Point Troubleshooting Expert course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 4 Days 24 CPD hours This course is intended for This intermediate course is for: Individuals who are assessing and/or planning to deploy storage network virtualization solutions Overview Create an implementation task list to integrate the SVC solution into the storage network fabric Establish or update zoning policies to enable the SVC to control storage device access and facilitate storage provisioning to host servers Utilize SVC user interfaces to manage the networked storage environment, assign storage to servers, migrate data, replicate data across storage systems, and monitor storage access activities Assess issues related to coexistence between the SVC and native disk storage access across host servers Migrate existing data to the virtualized SVC environment Implement SVC storage efficiency solutions including Easy Tier, Thin Provisioning, Volume Mirroring, and Real-time Compression Implement data replication services including FlashCopy and Remote Copy Leverage networked storage connectivity by integrating a layer of intelligence - the SAN Volume Controller (SVC) - to facilitate storage application data access independence from storage management functions and requirements ...and more. Introducing the SAN Volume Controller Storage provisioning with the SAN Volume Controller SAN Volume Controller clustering environment SVC Cluster Setup and Storage Provisioning SVC physical environment and management interfaces Storage systems and LUN assignments to SVC Cluster creation and storage provisioning Additional functions: Quorum disks, expand/shrink volumes, MDisk removal, MDisk multipathing Fabric Zoning, Non Disruptive Volume Move, and iSCSI Connectivity Host to SVC volume access infrastructure Fibre Channel host to SVC SAN fabric zoning Non Disruptive Volume Move (NDVM) iSCSI host to SVC IP connectivity Easy Tier, Thin Provisioning, Volume Mirroring, and Real-time Compression Easy Tier Thin Provisioning Volume Mirroring Real-time Compression and the Comprestimator Data Migration Pool Migration Migration Wizards (Import, Migration, Export) Storage system replacement Copy Services: FlashCopy and Remote Copy FlashCopy Remote Copy: Metro Mirror Copy Services: FlashCopy and Remote Copy FlashCopy Remote Copy: Metro Mirror Remote Copy: Global Mirror and Global Mirror with change volumes Managing the SVC Environment Logging and Directed Maintenance Procedures Code upgrades and node replacement Remote user authentication SVC configuration backup Additional course details: Nexus Humans SNV1 IBM SAN Volume Controller (SVC) Planning and Implementation Workshop training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the SNV1 IBM SAN Volume Controller (SVC) Planning and Implementation Workshop course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 5 Days 30 CPD hours This course is intended for This course is designed for students who want to learn the R programming language, particularly students who want to leverage R for data analysis and data science tasks in their organization. The course is also designed for students with an interest in applying statistics to real-world problems. A typical student in this course should have several years of experience with computing technology, along with a proficiency in at least one other programming language. Overview In this course, you will use R to perform common data science tasks.You will: Set up an R development environment and execute simple code. Perform operations on atomic data types in R, including characters, numbers, and logicals. Perform operations on data structures in R, including vectors, lists, and data frames. Write conditional statements and loops. Structure code for reuse with functions and packages. Manage data by loading and saving datasets, manipulating data frames, and more. Analyze data through exploratory analysis, statistical analysis, and more. Create and format data visualizations using base R and ggplot2. Create simple statistical models from data. In our data-driven world, organizations need the right tools to extract valuable insights from that data. The R programming language is one of the tools at the forefront of data science. Its robust set of packages and statistical functions makes it a powerful choice for analyzing data, manipulating data, performing statistical tests on data, and creating predictive models from data. Likewise, R is notable for its strong data visualization tools, enabling you to create high-quality graphs and plots that are incredibly customizable. This course will teach you the fundamentals of programming in R to get you started. It will also teach you how to use R to perform common data science tasks and achieve data-driven results for the business. Lesson 1: Setting Up R and Executing Simple Code Topic A: Set Up the R Development Environment Topic B: Write R Statements Lesson 2: Processing Atomic Data Types Topic A: Process Characters Topic B: Process Numbers Topic C: Process Logicals Lesson 3: Processing Data Structures Topic A: Process Vectors Topic B: Process Factors Topic C: Process Data Frames Topic D: Subset Data Structures Lesson 4: Writing Conditional Statements and Loops Topic A: Write Conditional Statements Topic B: Write Loops Lesson 5: Structuring Code for Reuse Topic A: Define and Call Functions Topic B: Apply Loop Functions Topic C: Manage R Packages Lesson 6: Managing Data in R Topic A: Load Data Topic B: Save Data Topic C: Manipulate Data Frames Using Base R Topic D: Manipulate Data Frames Using dplyr Topic E: Handle Dates and Times Lesson 7: Analyzing Data in R Topic A: Examine Data Topic B: Explore the Underlying Distribution of Data Topic C: Identify Missing Values Lesson 8: Visualizing Data in R Topic A: Plot Data Using Base R Functions Topic B: Plot Data Using ggplot2 Topic C: Format Plots in ggplot2 Topic D: Create Combination Plots Lesson 9: Modeling Data in R Topic A: Create Statistical Models in R Topic B: Create Machine Learning Models in R

Duration 1 Days 6 CPD hours This course is intended for This course is for individuals who need to write clearly and concisely in a professional environment. Overview In this course, you will organize and write effective business documents. You will: Identify techniques to write effective business communication. Write electronic communication that is clear, concise, and appropriate in a business context. Apply the writing principles you have studied to specific business situations and learn to address the needs of a particular audience. Use your writing and diplomatic skills to create formal business letters. Use basic persuasive strategies that will allow you to plan and deliver effective proposals. Though businesses increasingly rely on technology, technological skills alone do not guarantee success in the workplace. You must still develop your ideas, express them clearly, and persuade others of their viability. This course offers effective strategies to sharpen your writing skills by structuring your ideas logically, exercising diplomacy in letters and reports, and shaping your arguments.In contemporary business environments, information overload makes it necessary for you to communicate clearly and concisely. Trying to make sense of a disorganized email message can be frustrating given the number of emails you have to answer daily. By analyzing your audience, organizing your writing, and employing effective persuasive techniques, your writing will make an impact. Lesson 1: Writing Effective Business Communication Topic A: Write Strong Sentences Topic B: Organize Your Content Topic C: Analyze Your Audience Lesson 2: Writing Email and Other Electronic Communication Topic A: Write an Email Topic B: Write Instant Messages and Text Messages Lesson 3: Writing Common Business Documents Topic A: Write an Internal Announcement Topic B: Write a Routine Request Topic C: Write a Response to Routine Requests Topic D: Write a Complaint Topic E: Write a Positive Response to Customer Complaints Topic F: Write Bad-News Messages Lesson 4: Writing a Business Letter Topic A: Write a Business Letter Topic B: Write a Thank-You Letter Lesson 5: Writing Business Proposals Topic A: Persuade Your Audience Topic B: Write an Executive Summary Topic C: Use Visuals Additional course details: Nexus Humans Effective Business Writing (Second Edition) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Effective Business Writing (Second Edition) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.