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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

Duration 1 Days 6 CPD hours This course is intended for This course is intended for business users and knowledge workers in a variety of roles and fields who have competence in a desktop-based installation of the Microsoft Office 2010, 2013, or 2016 edition of the Microsoft Office productivity suite, and who are now extending Microsoft Office to a collaborative cloud-based Office 365 environment. Overview In this course, you will build upon your knowledge of the Microsoft Office desktop application suite to work productively in the cloud-based Microsoft Office 365 environment. You will: Sign in, navigate, and identify components of the Office 365 environment. Create, edit, and share documents with team members using the Office Online apps, SharePoint, OneDrive for Business, and Delve. Collaborate and work with colleagues using the Yammer and Planner apps. Use email and manage contacts with Outlook on the web. Collaborate using Teams. Configure Teams. This course introduces working with shared documents in the familiar Office 365 online apps?Word, PowerPoint©, and Excel©?as an alternative to installing the Microsoft© Office desktop applications. This course also introduces several productivity apps including Yammer?, Planner, and Delve© that can be used in combination by teams for communication and collaboration. Getting Started with Office 365 Topic A: Sign In to Office 365 Topic B: Navigate the Office 365 Environment Collaborating with Shared Files Topic A: Work with Shared Documents in SharePoint Topic B: Edit Documents in Office Online Topic C: Collaborate on the SharePoint Site Topic D: Work with OneDrive for Business Topic E: Find Shared Resources Using Productivity Apps Topic A: Work with Productivity Apps in Combination Topic B: Broadcast Messages with Yammer Using Outlook on the Web Topic A: Send and Receive Email Topic B: Manage Contacts Topic C: Schedule Appointments Topic D: Personalize Outlook on the Web Collaborating with Teams Topic A: Overview of Microsoft Teams Topic B: Converse and Share in Teams Topic C: Call and Meet in Teams Topic D: Collaborate with Microsoft 365 Apps and Teams Configuring Teams Topic A: Configure Teams Topic B: Configure Channels Topic C: Configure Tabs Additional course details: Nexus Humans Microsoft 365 Office for the Web (with Teams) 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 Microsoft 365 Office for the Web (with Teams) 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 class is intended for the following: Data analysts, Data scientists, Business analysts getting started with Google Cloud Platform. Individuals responsible for designing pipelines and architectures for data processing, creating and maintaining machine learning and statistical models, querying datasets, visualizing query results and creating reports. Executives and IT decision makers evaluating Google Cloud Platform for use by data scientists. Overview This course teaches students the following skills:Identify the purpose and value of the key Big Data and Machine Learning products in the Google Cloud Platform.Use Cloud SQL and Cloud Dataproc to migrate existing MySQL and Hadoop/Pig/Spark/Hive workloads to Google Cloud Platform.Employ BigQuery and Cloud Datalab to carry out interactive data analysis.Train and use a neural network using TensorFlow.Employ ML APIs.Choose between different data processing products on the Google Cloud Platform. This course introduces participants to the Big Data and Machine Learning capabilities of Google Cloud Platform (GCP). It provides a quick overview of the Google Cloud Platform and a deeper dive of the data processing capabilities. Introducing Google Cloud Platform Google Platform Fundamentals Overview. Google Cloud Platform Big Data Products. Compute and Storage Fundamentals CPUs on demand (Compute Engine). A global filesystem (Cloud Storage). CloudShell. Lab: Set up a Ingest-Transform-Publish data processing pipeline. Data Analytics on the Cloud Stepping-stones to the cloud. Cloud SQL: your SQL database on the cloud. Lab: Importing data into CloudSQL and running queries. Spark on Dataproc. Lab: Machine Learning Recommendations with Spark on Dataproc. Scaling Data Analysis Fast random access. Datalab. BigQuery. Lab: Build machine learning dataset. Machine Learning Machine Learning with TensorFlow. Lab: Carry out ML with TensorFlow Pre-built models for common needs. Lab: Employ ML APIs. Data Processing Architectures Message-oriented architectures with Pub/Sub. Creating pipelines with Dataflow. Reference architecture for real-time and batch data processing. Summary Why GCP? Where to go from here Additional Resources Additional course details: Nexus Humans Google Cloud Platform Big Data and Machine Learning Fundamentals 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 Google Cloud Platform Big Data and Machine Learning Fundamentals 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 business users and knowledge workers in a variety of roles and fields who have competence in a desktop-based installation of the Microsoft Office 2010 or 2013 edition of the Microsoft Office productivity suite, and who are now extending Microsoft Office to a collaborative cloud-based Office 365 environment. Overview In this course, you will build upon your knowledge of the Microsoft Office desktop application suite to work productively in the cloud-based Microsoft Office 365 environment.You will:- Sign in, navigate, and identify components of the Office 365 environment.- Create, edit, and share documents with team members using Word Online, Excel Online, PowerPoint Online, and Microsoft SharePoint.- Collaborate and work with colleagues using the Team, Planner, and Yammer apps.- Use email and manage contacts with Outlook on the web.- Use instant messaging with Skype for Business.- Conduct online meetings with Skype for Business. This course is an introduction to Microsoft© Office 365© with Skype© for Business in a cloud-based environment. It can be used as an orientation to the full suite of Office 365 cloud-based tools, or the Skype for Business lessons can be presented separately in a seminar-length presentation with the remaining material available for later student reference. Getting Started Sign In to Office 365 Navigate the Office 365 Environment Collaborating with Shared Files Work with Shared Documents in SharePoint Edit Documents in Office Online Collaborate on the SharePoint Site Work with OneDrive for Business and Delve Using Productivity Apps Work with Productivity Apps in Combination Broadcast Messages with Yammer Collaborate with the Teams App Manage Tasks with the Planner App Using Outlook on the Web Send and Receive Email Manage Contacts Schedule Appointments Personalize Outlook on the Web Communicating with Skype for Business Overview of Skype for Business Use Instant Messaging Make Voice and Video Calls Using Skype for Business Meetings Initiate Meetings Use Meeting Controls and Options Customize Skype for Business Additional course details: Nexus Humans Office 365 Web Apps (with Skype for Business) 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 Office 365 Web Apps (with Skype for Business) 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 Application Consultant Business Analyst Business Process Owner / Team Lead / Power User Help Desk / COE Support Program / Project Manager Overview This course will prepare you to: Describe the motivation for SAP S/4HANA Enterprise Management Provide an overview of basic business processes in the main components of Financial Accounting with SAP S/4HANA Participants of this course will gain an overview of the Financial Accounting capabilities of SAP S/4HANA. You will learn how SAP S/4HANA covers the Financial Accounting related business requirements and how the fundamental business processes and tasks are executed in the system. General Ledger Accounting, Accounts Payable, Accounts Receivable, Asset Accounting and Bank Accounting and their integration are all discussed in this course. Especially if you are new to Financial Accounting in SAP S/4HANA, this course is the right starting point for you. If you plan to take the academy and certification for Financial Accounting, this course will help you to better understand the certification courses. For the actual certification, it is recommended, but not mandatory. Overview of SAP S/4HANA Providing an Overview of the SAP S/4HANA Using the SAP Fiori Front-En Overview of Financial Accounting (FI) in SAP S/4HANA Outlining Financial Accounting (FI) Components in SAP S/4HANA General Ledger (G/L) Accounting Outlining Organizational Elements in Financial Accounting (FI) Maintaining G/L Master Records Posting Transactions in the G/L Accounts Payable Maintaining Vendor Master Records Maintaining Accounts Payable Transactions Managing the Integration between Accounts Payable and Materials Management Performing Accounts Payable Closing Operations Accounts Receivable Maintaining Customer Master Records Managing Accounts Receivable Transactions Managing Customer Correspondence Creating Accounts Receivable Dispute Cases Managing the Integration between Accounts Receivable and Sales Order Management Performing Accounts Receivable Closing Operations Asset Accounting Maintaining Asset Master Records Executing Asset Transactions Executing Asset Accounting Period-End Closing Activitie Bank Accounting Maintaining Bank Accounting Master Records Managing Bank Accounting Transactions Closing Operations in General Ledger Accounting Performing General Ledger (G/L) Closing Operations Additional course details: Nexus Humans S4F20 SAP Business Processes in Management Accounting 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 S4F20 SAP Business Processes in Management Accounting 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 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.

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 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 Data center architects Cloud infrastructure architects Network engineers System administrators Storage administrators Engineers requiring advanced configuration skills Cisco integrators and partners Overview After taking this course, you should understand: Data center challenges and cloud solutions Cisco UCS Director architecture Cisco UCS Director setup and configuration Cisco ACI Multitenancy in FlexPod Cisco ACI infrastructure Resource groups and service offerings Tenant onboarding Self-service provisioning Application containers The Designing and Deploying Cisco UCS Director with ACI (UCSDACI) v6.6 course shows you how to use Cisco UCS© Director software to manage physical and virtual infrastructure elements, including Cisco Application Centric Infrastructure (Cisco ACI?). You will learn to use orchestration and automation functions of Cisco UCS Director to effectively manage infrastructure and automate IT processes. The course offers hands-on experience installing and configuring Cisco UCS Director software. You will also learn about features such as bare-metal provisioning; compute, network, and storage management; orchestration, including Application Policy Infrastructure Controller (APIC); Cisco UCS Director custom tasks, and more. Introducing Cisco UCS Director Understanding Data Center Challenges Understanding the Benefits of Cisco UCS Director Understanding Cisco UCS Director Components Explaining Cisco UCS Director Architecture Explaining Bare-Metal Agent Introducing Cisco Application Centric Infrastructure Understanding Cisco ACI Overview Understanding Cisco ACI Terms and Constructs Understanding Cisco UCS Director Infrastructure Management Understanding Cisco UCS Director Deployment Introducing Role-Based Access Control Explaining User Groups/Roles/Users Introducing Orchestration Understanding Orchestration Introducing Cisco UCS Director ACI Explaining Cisco UCS Director with ACI So Understanding Multitenancy with Cisco UCS Director ACI Explaining Multitenancy with Cisco UCS Director ACI Understanding Resource Groups and Service Offerings Introducing Advanced Tenant Onboarding Onboarding a Tenant Tagging Resources Introducing Application Containers Understanding Application Profiles Understanding Service Container Catalog Understanding Deployment Through Self-Service Portal Understanding Self-Service Provisioning Portal Understanding Service Request Understanding Virtual Data Center Understanding Policies Understanding vDC and Groups Use Case Additional course details: Nexus Humans CiscoDesigning and Deploying Cisco UCS Director with ACI (UCSDACI) v6.6 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 CiscoDesigning and Deploying Cisco UCS Director with ACI (UCSDACI) v6.6 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: Data platform engineers Architects and operators who build and manage data analytics pipelines Overview In this course, you will learn to: Compare the features and benefits of data warehouses, data lakes, and modern data architectures Design and implement a batch data analytics solution Identify and apply appropriate techniques, including compression, to optimize data storage Select and deploy appropriate options to ingest, transform, and store data Choose the appropriate instance and node types, clusters, auto scaling, and network topology for a particular business use case Understand how data storage and processing affect the analysis and visualization mechanisms needed to gain actionable business insights Secure data at rest and in transit Monitor analytics workloads to identify and remediate problems Apply cost management best practices In this course, you will learn to build batch data analytics solutions using Amazon EMR, an enterprise-grade Apache Spark and Apache Hadoop managed service. You will learn how Amazon EMR integrates with open-source projects such as Apache Hive, Hue, and HBase, and with AWS services such as AWS Glue and AWS Lake Formation. The course addresses data collection, ingestion, cataloging, storage, and processing components in the context of Spark and Hadoop. You will learn to use EMR Notebooks to support both analytics and machine learning workloads. You will also learn to apply security, performance, and cost management best practices to the operation of Amazon EMR. Module A: Overview of Data Analytics and the Data Pipeline Data analytics use cases Using the data pipeline for analytics Module 1: Introduction to Amazon EMR Using Amazon EMR in analytics solutions Amazon EMR cluster architecture Interactive Demo 1: Launching an Amazon EMR cluster Cost management strategies Module 2: Data Analytics Pipeline Using Amazon EMR: Ingestion and Storage Storage optimization with Amazon EMR Data ingestion techniques Module 3: High-Performance Batch Data Analytics Using Apache Spark on Amazon EMR Apache Spark on Amazon EMR use cases Why Apache Spark on Amazon EMR Spark concepts Interactive Demo 2: Connect to an EMR cluster and perform Scala commands using the Spark shell Transformation, processing, and analytics Using notebooks with Amazon EMR Practice Lab 1: Low-latency data analytics using Apache Spark on Amazon EMR Module 4: Processing and Analyzing Batch Data with Amazon EMR and Apache Hive Using Amazon EMR with Hive to process batch data Transformation, processing, and analytics Practice Lab 2: Batch data processing using Amazon EMR with Hive Introduction to Apache HBase on Amazon EMR Module 5: Serverless Data Processing Serverless data processing, transformation, and analytics Using AWS Glue with Amazon EMR workloads Practice Lab 3: Orchestrate data processing in Spark using AWS Step Functions Module 6: Security and Monitoring of Amazon EMR Clusters Securing EMR clusters Interactive Demo 3: Client-side encryption with EMRFS Monitoring and troubleshooting Amazon EMR clusters Demo: Reviewing Apache Spark cluster history Module 7: Designing Batch Data Analytics Solutions Batch data analytics use cases Activity: Designing a batch data analytics workflow Module B: Developing Modern Data Architectures on AWS Modern data architectures