8540 Courses

Overview Mastering data science skills and expertise can open new doors of opportunities for you in a wide range of fields. Learn the fundamentals and develop a solid grasp of Python data science with the comprehensive Data Science with Python course. This course is designed to assist you in securing a valuable skill set and boosting your career. This course will provide you with quality training on the fundamentals of data analysis with Python. From the step-by-step learning process, you will learn the techniques of setting up the system. Then the course will teach you Python data structure and functions. You will receive detailed lessons on NumPy, Matplotlib, and Pandas. Furthermore, you will develop the skills for Algorithm Evaluation Techniques, visualising datasets and much more. After completing the course you will receive a certificate of achievement. This certificate will help you create an impressive resume. So join today! How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? This course Data Science with Python course is ideal for beginners in data science. It will help them develop a solid grasp of Python and help them pursue their dream career in the field of data science. Requirements The students will not require any formal qualifications or previous experience to enrol in this course. Anyone can learn from the course anytime from anywhere through smart devices like laptops, tabs, PC, and smartphones with stable internet connections. They can complete the course according to their preferable pace so, there is no need to rush. Career Path This course will equip you with valuable knowledge and effective skills in this area. After completing the course, you will be able to explore career opportunities in the fields such as Data Analyst Data Scientist Data Manager Business Analyst And much more! Course Curriculum 90 sections • 90 lectures • 10:19:00 total length •Course Overview & Table of Contents: 00:09:00 •Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types: 00:05:00 •Introduction to Machine Learning - Part 2 - Classifications and Applications: 00:06:00 •System and Environment preparation - Part 1: 00:04:00 •System and Environment preparation - Part 2: 00:06:00 •Learn Basics of python - Assignment 1: 00:10:00 •Learn Basics of python - Assignment 2: 00:09:00 •Learn Basics of python - Functions: 00:04:00 •Learn Basics of python - Data Structures: 00:12:00 •Learn Basics of NumPy - NumPy Array: 00:06:00 •Learn Basics of NumPy - NumPy Data: 00:08:00 •Learn Basics of NumPy - NumPy Arithmetic: 00:04:00 •Learn Basics of Matplotlib: 00:07:00 •Learn Basics of Pandas - Part 1: 00:06:00 •Learn Basics of Pandas - Part 2: 00:07:00 •Understanding the CSV data file: 00:09:00 •Load and Read CSV data file using Python Standard Library: 00:09:00 •Load and Read CSV data file using NumPy: 00:04:00 •Load and Read CSV data file using Pandas: 00:05:00 •Dataset Summary - Peek, Dimensions and Data Types: 00:09:00 •Dataset Summary - Class Distribution and Data Summary: 00:09:00 •Dataset Summary - Explaining Correlation: 00:11:00 •Dataset Summary - Explaining Skewness - Gaussian and Normal Curve: 00:07:00 •Dataset Visualization - Using Histograms: 00:07:00 •Dataset Visualization - Using Density Plots: 00:06:00 •Dataset Visualization - Box and Whisker Plots: 00:05:00 •Multivariate Dataset Visualization - Correlation Plots: 00:08:00 •Multivariate Dataset Visualization - Scatter Plots: 00:05:00 •Data Preparation (Pre-Processing) - Introduction: 00:09:00 •Data Preparation - Re-scaling Data - Part 1: 00:09:00 •Data Preparation - Re-scaling Data - Part 2: 00:09:00 •Data Preparation - Standardizing Data - Part 1: 00:07:00 •Data Preparation - Standardizing Data - Part 2: 00:04:00 •Data Preparation - Normalizing Data: 00:08:00 •Data Preparation - Binarizing Data: 00:06:00 •Feature Selection - Introduction: 00:07:00 •Feature Selection - Uni-variate Part 1 - Chi-Squared Test: 00:09:00 •Feature Selection - Uni-variate Part 2 - Chi-Squared Test: 00:10:00 •Feature Selection - Recursive Feature Elimination: 00:11:00 •Feature Selection - Principal Component Analysis (PCA): 00:09:00 •Feature Selection - Feature Importance: 00:06:00 •Refresher Session - The Mechanism of Re-sampling, Training and Testing: 00:12:00 •Algorithm Evaluation Techniques - Introduction: 00:07:00 •Algorithm Evaluation Techniques - Train and Test Set: 00:11:00 •Algorithm Evaluation Techniques - K-Fold Cross Validation: 00:09:00 •Algorithm Evaluation Techniques - Leave One Out Cross Validation: 00:05:00 •Algorithm Evaluation Techniques - Repeated Random Test-Train Splits: 00:07:00 •Algorithm Evaluation Metrics - Introduction: 00:09:00 •Algorithm Evaluation Metrics - Classification Accuracy: 00:08:00 •Algorithm Evaluation Metrics - Log Loss: 00:03:00 •Algorithm Evaluation Metrics - Area Under ROC Curve: 00:06:00 •Algorithm Evaluation Metrics - Confusion Matrix: 00:10:00 •Algorithm Evaluation Metrics - Classification Report: 00:04:00 •Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction: 00:06:00 •Algorithm Evaluation Metrics - Mean Absolute Error: 00:07:00 •Algorithm Evaluation Metrics - Mean Square Error: 00:03:00 •Algorithm Evaluation Metrics - R Squared: 00:04:00 •Classification Algorithm Spot Check - Logistic Regression: 00:12:00 •Classification Algorithm Spot Check - Linear Discriminant Analysis: 00:04:00 •Classification Algorithm Spot Check - K-Nearest Neighbors: 00:05:00 •Classification Algorithm Spot Check - Naive Bayes: 00:04:00 •Classification Algorithm Spot Check - CART: 00:04:00 •Classification Algorithm Spot Check - Support Vector Machines: 00:05:00 •Regression Algorithm Spot Check - Linear Regression: 00:08:00 •Regression Algorithm Spot Check - Ridge Regression: 00:03:00 •Regression Algorithm Spot Check - Lasso Linear Regression: 00:03:00 •Regression Algorithm Spot Check - Elastic Net Regression: 00:02:00 •Regression Algorithm Spot Check - K-Nearest Neighbors: 00:06:00 •Regression Algorithm Spot Check - CART: 00:04:00 •Regression Algorithm Spot Check - Support Vector Machines (SVM): 00:04:00 •Compare Algorithms - Part 1 : Choosing the best Machine Learning Model: 00:09:00 •Compare Algorithms - Part 2 : Choosing the best Machine Learning Model: 00:05:00 •Pipelines : Data Preparation and Data Modelling: 00:11:00 •Pipelines : Feature Selection and Data Modelling: 00:10:00 •Performance Improvement: Ensembles - Voting: 00:07:00 •Performance Improvement: Ensembles - Bagging: 00:08:00 •Performance Improvement: Ensembles - Boosting: 00:05:00 •Performance Improvement: Parameter Tuning using Grid Search: 00:08:00 •Performance Improvement: Parameter Tuning using Random Search: 00:06:00 •Export, Save and Load Machine Learning Models : Pickle: 00:10:00 •Export, Save and Load Machine Learning Models : Joblib: 00:06:00 •Finalizing a Model - Introduction and Steps: 00:07:00 •Finalizing a Classification Model - The Pima Indian Diabetes Dataset: 00:07:00 •Quick Session: Imbalanced Data Set - Issue Overview and Steps: 00:09:00 •Iris Dataset : Finalizing Multi-Class Dataset: 00:09:00 •Finalizing a Regression Model - The Boston Housing Price Dataset: 00:08:00 •Real-time Predictions: Using the Pima Indian Diabetes Classification Model: 00:07:00 •Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset: 00:03:00 •Real-time Predictions: Using the Boston Housing Regression Model: 00:08:00 •Resources - Data Science & Machine Learning with Python: 00:00:00

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Duration 4 Days 24 CPD hours This course is intended for This course is designed for IT professionals with experience or interest in delivering Field Service solutions for large-scale customers. Overview Identify the key components involved in Field Service Implementations. Define the products and services that will be delivered to customers. Determine which pricing options to use in specific scenarios. Determine which resources are required. Dynamics 365 Field Service helps organizations better position themselves in the market by providing a variety of tools that assist in identifying and scheduling resources and managing workloads for mobile workers. This course will equip students with the skills necessary to identify and configure the key components that are used to deliver Field Service and mobile solutions. Key topics include identifying the organizational considerations that will drive configuration decisions and common configuration aspects. This course helps students better understand the bigger picture and end goals focused around implementations that aid in designing more efficient solutions that align with customer and organizational goals. Configure Field Service Introduction to configuring Field Service Defining products and services Defining tax codes Resource Scheduling Configuration Mapping and location information Configuring resource components Defining account preferences Defining and Configuring Bookable Resources Defining bookable resources Resource pools, crews and facilities Configure Incidents Creating an incident Using service tasks Inventory and Work Order Management Configure Field Service work orders Creating work orders Managing work orders Field Service Agreements Using Field Service agreements Set up bookings Set up invoices Inventory and Purchasing Manage customer assets Manage inventory Purchasing and returns Field Service Mobile Mobile client overview Install and deploy Field Service mobile projects Manage mobile projects Deploy the mobile client Universal Resource Scheduling URS overview and configuration Enabling entities for URS Customize entities for URS Managing Scheduling Options Using the schedule board Schedule items Rescheduling and substituting resources Crew and pool scheduling Customizing the Schedule Board Configure the board Create additional schedule boards Use views to enhance the schedule board Configuring schedule board queries and filters Working with requirement groups Advanced Scheduling Options Working with resource scheduling optimization Defining optimization goals Defining optimization scopes Defining optimization profiles Single resource scheduling Additional course details: Nexus Humans MB-240T00 Dynamics 365 for Field Service 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 MB-240T00 Dynamics 365 for Field Service 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 Executives, Project Managers, Business Analysts, Business and IT stakeholders working with analysts, Quality and process engineers, technicians, corrective action coordinators or managers; supervisors, team leaders, and process operators; anyone who wants to improve their ability to solve recurring problems. Overview Learn how to initiate a root cause analysis and gather data for investigating process and non-process incidentsDemonstrate how to collect data through interviews and analysisApply powerful techniques to identify and know the difference between symptoms and root causesLearn to know when to use the appropriate technique in root cause identification Learn how to avoid future incidents by developing appropriate recommendations to address causal factors and root causes Develop a process to identify systemic problem areas In this course, participants will learn to apply several practical, systematic methods for analyzing incidents and problems to uncover root causes. Understanding of these techniques will be reinforced by classroom exercises. Introduction & Objectives What is a 'Problem?' Why Problems Persist What is A Root Cause? Why Root Causes are important How to Organize for an RCA RCA Roles and Responsibilities Assemble your RCA Team Modes of Communication How to Resolve Conflict Case Study Exercise Select the Problem to Analyze Define the selection criteria Plan and estimate tasks for the team Finalize the plan and gain agreement among your stakeholders Case Study Exercise Define the Problem What to look for - Problem-as-Given (PAG) vs. Problem-as-Understood (PAU) Developing your problem statement Refining the problem specification Case Study Exercise Identify the Source of the Problem Discuss when to use the appropriate analysis technique to determine the problem source Process Diagram Forms & Checklists Statistical Sampling Fishbone Diagram Surveys Charts - Line, Scatter, Bar, & Pie Case Study Exercise Solution Options Analysis & Selecting the 'Best Fit' How to approach different solution options Brainstorming Weighted Evaluation Selecting the appropriate option Hold an Retrospective on your approach Planning the proposal Case Study Exercise Putting RCA into Practice Create a Root Cause Analysis program within your organization How to develop appropriate recommendations to address root causes at various levels to avoid future incidents Additional course details: Nexus Humans BA10 - Understanding Root Cause Analysis 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 BA10 - Understanding Root Cause Analysis 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 Overview Automatic Payment Reminders for open customer invoices Ability to automatically include the PO# (purchase order number) to Invoice Emails Able to combine multiple emails which allows you to attach multiple sales or purchasing documents to a single email Quickly locate a company file using the new company file search feature Smart Help is an improved search experience that includes access to live experts through messaging and call back options The behind-the-scenes journal entry for transactions is now included. First-time QuickBooks users will learn the basic features of the software. Experienced QuickBooks users will quickly learn the new features and functionality of QuickBooks 2020. This course covers features that are in QuickBooks Pro and Premier 2020 Getting Started Starting QuickBooks Setting QuickBooks Preferences Components of the QuickBooks Operating Environment Using QuickBooks Help Identifying Common Business Terms Exiting QuickBooks Setting Up a Company Creating a QuickBooks Company Using the Chart of Accounts Working with Lists Creating Company Lists Working with the Customers & Jobs List Working with the Employees List Working with the Vendors List Working with the Item List Working with Other Lists Managing Lists Setting Up Inventory Entering Inventory Ordering Inventory Receiving Inventory Paying for Inventory Manually Adjusting Inventory Selling Your Product Creating Product Invoices Applying Credit to Invoices Emailing Invoices Setting Price Levels Creating Sales Receipts Invoicing for Services Setting Up a Service Item Changing the Invoice Format Creating a Service Invoice Editing an Invoice Voiding an Invoice Deleting an Invoice Entering Statement Charges Creating Billing Statements Processing Payments Displaying the Open Invoices Report Using the Income Tracker Receiving Payments for Invoices Making Deposits Handling Bounced Checks Working with Bank Accounts Writing a QuickBooks Check Voiding a QuickBooks Check Using Bank Account Registers Entering a Handwritten Check Transferring Funds Between Accounts Reconciling Checking Accounts Entering and Paying Bills Handling Expenses Using QuickBooks for Accounts Payable Entering Bills Paying Bills Entering Vendor Credit Using the EasyStep Interview Using the EasyStep Interview Additional course details: Nexus Humans Get Going With QuickBooks 2020 for Windows 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 Get Going With QuickBooks 2020 for Windows 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 The primary audience for this course are Application Consultants, Business Process Architects, Business Process Owners/Team Leads/Power Users, Program/Project Managers, and Users. Overview Teach participants the basic functions of inventory management and physical inventory, and how to create different goods movements in the SAP system.Familiarize participants with the special functions of inventory management and physical inventory, and the Customizing settings relevant to inventory management and physical inventory. This course will give students an overview and in depth knowledge of the inventory management process in SAP. After attending this class, students will understand the major business processes, functions & configuration in inventory management. Introduction to Inventory Management Defining Inventory Management and Physical Inventory Moving Goods with the MIGO Transaction Goods Receipts (GRs) Posting a GR Without Reference Posting a GR with Reference Posting a GR with Automatic Generation of a PO Posting Cancellations, Return Deliveries, and Returns Applying Order Price Unit in Inventory Management Applying Tolerances and the Delivery Completed Indicator Adding Date Checks to GRs for a PO Stock Transfers and Transfer Postings Performing Transfer Postings Performing Stock Transfers Between Storage Locations Performing Stock Transfers Between Plants Reservations Creating Manual Reservations Evaluating Reservations Checking Availability and Missing Parts Goods Issues (GIs) Posting Unplanned GIs Posting a GI with Reference Configuring Stock Determination Allowing Negative Stock Special Forms of Procurement and Special Stocks Performing the Process of Subcontracting Performing Vendor Consignment Operating Pipeline Processes Posting Goods Movements for Special Stocks Special Features of Material Valuation Posting Goods Movements for Material Types UNBW and NLAG Configuring Split Valuation Physical Inventory Conducting Physical Inventory Analyzing the Determination of Book Inventory Simplifying Physical Inventory Applying Cycle Counting Applying Inventory Sampling Analyses Applying Stock Lists and Document Lists Applying Periodic Processing Customizing Implementing Settings for Documents Setting Up Movement Types Applying Other Customizing Settings Logistics Execution Managing Logistics Execution Processes Posting a GR Against a PO Posting a GI for a Sales Order Additional course details: Nexus Humans SCM510 SAP Inventory Management and Physical Inventory 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 SCM510 SAP Inventory Management and Physical Inventory 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 3 Days 18 CPD hours This course is intended for Data Science for Marketing Analytics is designed for developers and marketing analysts looking to use new, more sophisticated tools in their marketing analytics efforts. It'll help if you have prior experience of coding in Python and knowledge of high school level mathematics. Some experience with databases, Excel, statistics, or Tableau is useful but not necessary. Overview By the end of this course, you will be able to build your own marketing reporting and interactive dashboard solutions. The course starts by teaching you how to use Python libraries, such as pandas and Matplotlib, to read data from Python, manipulate it, and create plots, using both categorical and continuous variables. Then, you'll learn how to segment a population into groups and use different clustering techniques to evaluate customer segmentation.As you make your way through the course, you'll explore ways to evaluate and select the best segmentation approach, and go on to create a linear regression model on customer value data to predict lifetime value. In the concluding sections, you'll gain an understanding of regression techniques and tools for evaluating regression models, and explore ways to predict customer choice using classification algorithms. Finally, you'll apply these techniques to create a churn model for modeling customer product choices. Data Preparation and Cleaning Data Models and Structured Data pandas Data Manipulation Data Exploration and Visualization Identifying the Right Attributes Generating Targeted Insights Visualizing Data Unsupervised Learning: Customer Segmentation Customer Segmentation Methods Similarity and Data Standardization k-means Clustering Choosing the Best Segmentation Approach Choosing the Number of Clusters Different Methods of Clustering Evaluating Clustering Predicting Customer Revenue Using Linear Regression Understanding Regression Feature Engineering for Regression Performing and Interpreting Linear Regression Other Regression Techniques and Tools for Evaluation Evaluating the Accuracy of a Regression Model Using Regularization for Feature Selection Tree-Based Regression Models Supervised Learning: Predicting Customer Churn Classification Problems Understanding Logistic Regression Creating a Data Science Pipeline Fine-Tuning Classification Algorithms Support Vector Machine Decision Trees Random Forest Preprocessing Data for Machine Learning Models Model Evaluation Performance Metrics Modeling Customer Choice Understanding Multiclass Classification Class Imbalanced Data Additional course details: Nexus Humans Data Science for Marketing Analytics 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 Data Science for Marketing Analytics 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 Built for experienced IT Professionals familiar with Citrix Virtual Apps and Desktops 7 in an on-premises environment or Citrix Cloud looking to expand their Citrix Virtual Apps and Desktops skills to an advanced level. Potential students include administrators or engineers responsible for the Citrix Apps and Desktop 7 Site. Overview After completing this course you should be able to: Configure Workspace Environment Management to improve the end user environment and virtual resource consumption Implement App Layering skills, for example how to create and administer OS, platform, application, elastic and user layers Migrate to Workspace Environment Management Students will learn to build and combine App Layers to optimize management of your app and desktop images and to implement Workspace Environment Management to improve log-on times, centralize user settings management, and optimize the performance of machines. Students will leave this course with a good understanding of how to manage more complex solutions and features in their Citrix Virtual Apps and Desktop 7 site. Introduction to App Layering App Layering Introduction Architecture and How it Works The OS Layer Creating an OS Layer The Platform Layer Creating a Platform Layer The App Layers Creating App Layers Creating Elastic App and User Layers Elastic App Layering User Layers Deploying a Layered Image using Citrix Virtual Apps and Desktops Using Templates in App Layering Using Layered Images in a Citrix Virtual Apps and Desktops Site Exploring Layer Priority Layer Priority Maintaining an App Layering Environment Updating Layers Maintaining and Updating the App Layering Environment Common App Layering Considerations and Additional Resources Introduction to Workspace Environment Management (WEM) Workspace Environment Management (WEM) Introduction WEM Administration Using WEM to Centralize Environment Management Managing User Resources with WEM Managing Profiles with WEM Managing Endpoints with the WEM Transformer Feature Using WEM for Performance Optimizing Machine Performance with WEM Optimizing User Experience with WEM Using WEM to Secure Environments WEM Security Features Migrating and Upgrading WEM Migrating to WEM Upgrading a WEM Deployment WEM Multi-Location Considerations Additional course details: Nexus Humans CWS-314 Citrix App Layering and WEM Administration 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 CWS-314 Citrix App Layering and WEM Administration 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 3 Days 18 CPD hours This course is intended for Developed for IT Professionals interested in learning how to manage Citrix Endpoint Management on-premises or cloud environments using leading practices. Potential students include Administrators and Implementers. Overview How to manage a Citrix Endpoint Management implementation in a On-premises or cloud environment How to perform common enterprise mobility management tasks and mobile application managementUnderstand the device enrollment processHow to perform monitoring, troubleshooting, and reporting on a Citrix Endpoint Management Enterprise solution Students will explore how to manage Citrix Endpoint Management in this course. Venture into the cloud as students learn to manage devices, apps, and users. Students will learn how the architecture, management, and communication flow function with Citrix Endpoint Management Service and how they can fit their organization?s needs. Students will learn how to administer their Citrix Endpoint Management environment and how to support your end users, as well as working with applications and securing a variety of endpoints. Introduction to Citrix Endpoint Management Citrix Endpoint Management Features Citrix Cloud and Citrix Endpoint Management Citrix Endpoint Management User Experience and Security Citrix Endpoint Management Entitlements Citrix Endpoint Management Architecture Citrix Endpoint Management Prerequisites Citrix Endpoint Management Server Citrix Endpoint Management and Microsoft Intune Apple APNs and Google Firebase Cloud Messaging MDX Architecture and Features Cloud Components Cloud Component Overview Onboarding and Access Cloud Connector and Cloud Resource Locations Cloud Migration Cloud Updates and Features Common Device Management Tasks Administrative Console Overview Delivery Groups Device Policies Device Enrollment Enrollment Methods iOS Device Enrollment Android Device Enrollment Windows 10 Enrollment Other Devices Managing Device Security Security Policies Automated Actions Android for Work ActiveSync Filtering Shared Devices Working with Apps Application Integration Citrix Endpoint Management Productivity Apps Application Security with MDX 3rd Part Applications Integrating Citrix Content Collaboration Citrix Content Collaboration Overview Integrating Citrix Endpoint Management with Content Collaboration Content Collaboration Workflows Maintaining and Troubleshooting Maintaining Citrix Endpoint Management Maintaining Certificates Troubleshooting Citrix Gateway (formerly NetScaler Gateway) Troubleshooting Tools for Citrix Productivity Apps Firewall Issues Monitoring and Reporting Monitoring and Reporting of Devices Monitoring and Reporting of Citrix Content Collaboration Additional course details: Nexus Humans CEM-205 Manage Citrix Endpoint Management 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 CEM-205 Manage Citrix Endpoint Management 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.