3709 Office Skills courses delivered Online

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 3 Days 18 CPD hours This course is intended for This course is designed for existing Python programmers who have at least one year of Python experience and who want to expand their programming proficiency in Python 3. Overview In this course, you will expand your Python proficiencies. You will: Select an object-oriented programming approach for Python applications. Create object-oriented Python applications. Create a desktop application. Create a data-driven application. Create and secure web service-connected applications. Program Python for data science. Implement unit testing and exception handling. Package an application for distribution.   Python continues to be a popular programming language, perhaps owing to its easy learning curve, small code footprint, and versatility for business, web, and scientific uses. Python is useful for developing custom software tools, applications, web services, and cloud applications. In this course, you'll build upon your basic Python skills, learning more advanced topics such as object-oriented programming patterns, development of graphical user interfaces, data management, creating web service-connected apps, performing data science tasks, unit testing, and creating and installing packages and executable applications. Selecting an Object-Oriented Programming Approach for Python Applications Topic A: Implement Object-Oriented Design Topic B: Leverage the Benefits of Object-Oriented Programming Creating Object-Oriented Python Applications Topic A: Create a Class Topic B: Use Built-in Methods Topic C: Implement the Factory Design Pattern Creating a Desktop Application Topic A: Design a Graphical User Interface (GUI) Topic B: Create Interactive Applications Creating Data-Driven Applications Topic A: Connect to Data Topic B: Store, Update, and Delete Data in a Database Creating and Securing a Web Service-Connected App Topic A: Select a Network Application Protocol Topic B: Create a RESTful Web Service Topic C: Create a Web Service Client Topic D: Secure Connected Applications Programming Python for Data Science Topic A: Clean Data with Python Topic B: Visualize Data with Python Topic C: Perform Linear Regression with Machine Learning Implementing Unit Testing and Exception Handling Topic A: Handle Exceptions Topic B: Write a Unit Test Topic C: Execute a Unit Test Packaging an Application for Distribution Topic A: Create and Install a Package Topic B: Generate Alternative Distribution Files Additional course details: Nexus Humans Advanced Programming Techniques with Python 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 Advanced Programming Techniques with Python 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 Primary target audiences for this training are developers and development consultants but also other roles involved with implementing or reviewing program code to optimize ABAP based applications for SAP HANA. This course will prepare students to develop and optimize ABAP applications that access data stored in the SAP HANA Database. Course Outline Technical concepts of SAP HANA Introduction to HANA Studio Introduction to ADT (ABAP Development Tools, also known as ABAP in Eclipse) Tools to detect potential functional and performance issues when migrating to SAP HANA: Code Inspector and ABAP Test Cockpit, ABAP Trace and ABAP Profiler, SQL Trace Tools to prioritize performance issues: SQL Monitor, SQL Performance Tuning Worklist Performance Rules and Guidelines for ABAP in the context of SAP HANA Optimizing ABAP by accessing SAP HANA as a Secondary Database Optimizing ABAP using SAP HANA as Primary Database Using SAP HANA Fuzzy Search in ABAP Enabling input fields for Type-Ahead search. SAP List Viewer (ALV) for SAP HANA Additional course details: Nexus Humans HA400 SAP ABAP Programming for SAP HANA 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 HA400 SAP ABAP Programming for SAP HANA 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 This course is designed for existing Python programmers who have at least one year of Python experience and who want to expand their programming proficiency in Python 3. Overview In this course, you will expand your Python proficiencies. You will: Select an object-oriented programming approach for Python applications. Create object-oriented Python applications. Create a desktop application. Create data-driven applications. Create and secure web service-connected applications. Program Python for data science. Implement unit testing and exception handling. Package an application for distribution. Python© continues to be a popular programming language, perhaps owing to its easy learning curve, small code footprint, and versatility for business, web, and scientific uses. Python is useful for developing custom software tools, applications, web services, and cloud applications. In this course, you'll build upon your basic Python skills, learning more advanced topics such as object-oriented programming patterns, development of graphical user interfaces, data management, creating web service-connected apps, performing data science tasks, unit testing, and creating and installing packages and executable applications. Lesson 1: Selecting an Object-Oriented Programming Approach for Python Applications Topic A: Implement Object-Oriented Design Topic B: Leverage the Benefits of Object-Oriented Programming Lesson 2: Creating Object-Oriented Python Applications Topic A: Create a Class Topic B: Use Built-in Methods Topic C: Implement the Factory Design Pattern Lesson 3: Creating a Desktop Application Topic A: Design a Graphical User Interface (GUI) Topic B: Create Interactive Applications Lesson 4: Creating Data-Driven Applications Topic A: Connect to Data Topic B: Store, Update, and Delete Data in a Database Lesson 5: Creating and Securing a Web Service-Connected App Topic A: Select a Network Application Protocol Topic B: Create a RESTful Web Service Topic C: Create a Web Service Client Topic D: Secure Connected Applications Lesson 6: Programming Python for Data Science Topic A: Clean Data with Python Topic B: Visualize Data with Python Topic C: Perform Linear Regression with Machine Learning Lesson 7: Implementing Unit Testing and Exception Handling Topic A: Handle Exceptions Topic B: Write a Unit Test Topic C: Execute a Unit Test Lesson 8: Packaging an Application for Distribution Topic A: Create and Install a Package Topic B: Generate Alternative Distribution Files

Duration 5 Days 30 CPD hours This course is intended for System Administrator System Architect Technology Consultant Overview This course will prepare you to: start and stop SAP systems perform system configuration tasks describe the architecture of database systems explain fundamental user administration concepts create RFC destinations implement SAP notes and SAP Support Packages configure printers in SAP systems schedule and monitor background jobs In this five-day training, you will learn how to perform various administrative tasks to keep the SAP system running. This course provides you with fundamental knowledge on how to ensure a smooth operation of SAP systems running on Application Server ABAP (AS ABAP). AS ABAP is the technological foundation of SAP Business Suite as well as SAP S/4HANA systems. You will also learn the theoretical administration concepts within AS ABAP and work practically in an SAP system and on the operating system level. Course Content AS ABAP Fundamentals Starting and Stopping SAP Systems Technical System Configuration Setting profile parameters Setting up and working with operation modes Working with task lists Architecture of database systems Understanding basic database administration Fundamentals of User Administration Understanding the user administration concept Understanding the AS ABAP authorization concept RFC Communication Setting up RFC connections Software Maintenance Implementing SAP Notes and SAP Support Packages Preparing a software maintenance process Working with the Support Package Manager (SPAM) Understanding the Software Update Manager (SUM) Output Management Configuring printers Background Processing Scheduling background jobs System Monitoring and Troubleshooting Monitoring architecture Monitoring with SAP Solution Manager Additional course details: Nexus Humans ADM100 System Administration I of SAP S/4HANA and SAP Business Suite 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 ADM100 System Administration I of SAP S/4HANA and SAP Business Suite 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 Experienced DataStage developers seeking training in more advanced DataStage job techniques and who seek techniques for working with complex types of data resources. Overview Use Connector stages to read from and write to database tables Handle SQL errors in Connector stages Use Connector stages with multiple input links Use the File Connector stage to access Hadoop HDFS data Optimize jobs that write to database tables Use the Unstructured Data stage to extract data from Excel spreadsheets Use the Data Masking stage to mask sensitive data processed within a DataStage job Use the Hierarchical stage to parse, compose, and transform XML data Use the Schema Library Manager to import and manage XML schemas Use the Data Rules stage to validate fields of data within a DataStage job Create custom data rules for validating data Design a job that processes a star schema data warehouse with Type 1 and Type 2 slowly changing dimensions This course is designed to introduce you to advanced parallel job data processing techniques in DataStage v11.5. In this course you will develop data techniques for processing different types of complex data resources including relational data, unstructured data (Excel spreadsheets), and XML data. In addition, you will learn advanced techniques for processing data, including techniques for masking data and techniques for validating data using data rules. Finally, you will learn techniques for updating data in a star schema data warehouse using the DataStage SCD (Slowly Changing Dimensions) stage. Even if you are not working with all of these specific types of data, you will benefit from this course by learning advanced DataStage job design techniques, techniques that go beyond those utilized in the DataStage Essentials course. Accessing databases Connector stage overview - Use Connector stages to read from and write to relational tables - Working with the Connector stage properties Connector stage functionality - Before / After SQL - Sparse lookups - Optimize insert/update performance Error handling in Connector stages - Reject links - Reject conditions Multiple input links - Designing jobs using Connector stages with multiple input links - Ordering records across multiple input links File Connector stage - Read and write data to Hadoop file systems Demonstration 1: Handling database errors Demonstration 2: Parallel jobs with multiple Connector input links Demonstration 3: Using the File Connector stage to read and write HDFS files Processing unstructured data Using the Unstructured Data stage in DataStage jobs - Extract data from an Excel spreadsheet - Specify a data range for data extraction in an Unstructured Data stage - Specify document properties for data extraction. Demonstration 1: Processing unstructured data Data masking Using the Data Masking stage in DataStage jobs - Data masking techniques - Data masking policies - Applying policies for masquerading context-aware data types - Applying policies for masquerading generic data types - Repeatable replacement - Using reference tables - Creating custom reference tables Demonstration 1: Data masking Using data rules Introduction to data rules - Using the Data Rules Editor - Selecting data rules - Binding data rule variables - Output link constraints - Adding statistics and attributes to the output information Use the Data Rules stage to valid foreign key references in source data Create custom data rules Demonstration 1: Using data rules Processing XML data Introduction to the Hierarchical stage - Hierarchical stage Assembly editor - Use the Schema Library Manager to import and manage XML schemas Composing XML data - Using the HJoin step to create parent-child relationships between input lists - Using the Composer step Writing Hierarchical data to a relational table Using the Regroup step Consuming XML data - Using the XML Parser step - Propagating columns Topic 6: Transforming XML data - Using the Aggregate step - Using the Sort step - Using the Switch step - Using the H-Pivot step Demonstration 1: Importing XML schemas Demonstration 2: Compose hierarchical data Demonstration 3: Consume hierarchical data Demonstration 4: Transform hierarchical data Updating a star schema database Surrogate keys - Design a job that creates and updates a surrogate key source key file from a dimension table Slowly Changing Dimensions (SCD) stage - Star schema databases - SCD stage Fast Path pages - Specifying purpose codes - Dimension update specification - Design a job that processes a star schema database with Type 1 and Type 2 slowly changing dimensions Demonstration 1: Build a parallel job that updates a star schema database with two dimensions Additional course details: Nexus Humans KM423 IBM InfoSphere DataStage v11.5 - Advanced Data Processing 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 KM423 IBM InfoSphere DataStage v11.5 - Advanced Data Processing 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 Microsoft Technology Associate (MTA) is Microsoft?s newest suite of technology certification exams that validate fundamental knowledge needed to begin building a career using Microsoft technologies. This program provides an appropriate entry point to a future career in technology and assumes some hands-on experience or training but does not assume on-the-job experience. Overview This five-day Training 2-Pack helps you prepare for Microsoft Technology Associate Exams 98-366 and 98-367, and build an understanding of these topics: Network Infrastructures, Network Hardware, Protocols and Services, Security Layers, Operating System Security, Network Security, Security Software. These courses leverage the same content as found in the Microsoft Official Academic Courses (MOAC) for these exams. Understand Network InfrastructuresUnderstand Network HardwareUnderstand Protocols and ServicesUnderstand Security LayersUnderstand Operating System SecurityUnderstand Network SecurityUnderstand Security Software UNDERSTANDING LOCAL AREA NETWORKINGDEFINING NETWORKS WITH THE OSI MODELUNDERSTANDING WIRED AND WIRELESS NETWORKSUNDERSTANDING INTERNET PROTOCOLIMPLEMENTING TCP/IP IN THE COMMAND LINEWORKING WITH NETWORKING SERVICESUNDERSTANDING WIDE AREA NETWORKSDEFINING NETWORK INFRASTRUCTURES AND NETWORK SECURITYUNDERSTANDING SECURITY LAYERSAUTHENTICATION, AUTHORIZATION, AND ACCOUNTINGUNDERSTANDING SECURITY POLICYUNDERSTANDING NETWORK SECURITYPROTECTING THE SERVER AND CLIENT

Duration 3 Days 18 CPD hours This course is intended for Anyone interested in getting an overview of SAP S/4HANA Overview This course will prepare you to: Explain how SAP S/4HANA supports the digital transformation Navigate in SAP S/4HANA using SAP Fiori UX and other client technologies Describe system-wide concepts such as organizational elements or master data Describe key business processes of SAP S/4HANA Enterprise Management and SAP S/4HANA LoB solutions Describe integration scenarios between SAP S/4HANA and SAP Cloud solutions Explain SAP S/4HANA embedded analytics capabilities and additional BI/BW tools Gain basic knowledge about SAP Activate to accelerate SAP S/4HANA adoption This course provides an overview of SAP S/4HANA for learners who do not yet have specific SAP background knowledge and want to build SAP S/4HANA skills. Module 1 SAP S/4HANA Overview Module 2 Navigation Module 3 System-wide concepts Module 4 Logistics capabilities Module 5 Finance capabilities Module 6 Human Resources capabilities Module 7 SAP Activate Additional course details: Nexus Humans S4H00 SAP S/4HANA Overview 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 S4H00 SAP S/4HANA Overview 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.

One On One Personalised Presentation & Communication Skills Coaching for Senior Executives

Learn how to use this powerful tool to import and clean data and create some amazing visuals. Course overview Duration: 2 days (13 hours) Power BI Desktop is a powerful tool for working with your data. It enables you to import multiple data sources and create effective visualisations and reports. This course is an introduction to Power BI to get you started on creating a powerful reporting capability. You should have a good working knowledge of Excel and managing data before attending. Objectives  By the end of the course you will be able to: Import data from multiple data sources Edit and transform data before importing Create reports Create different visualisations Create data models Build data relationships Use the drill down features Create measures Use the Power BI Service Build dashboards Use the mobile app Content Essentials Importing Data Power BI Overview Data sources Importing data Transforming Your Data Editing your data Setting data types Removing columns/rows Choosing columns to keep Setting header rows Splitting columns Creating Reports Creating and saving reports Adding pages Renaming pages Interactivity Refreshing your data Adding Columns Columns from example Custom columns Conditional columns Append Queries Importing folders Setting up and using append queries Creating Chart Visualisations Adding chart elements Choosing chart types Setting properties Setting values, axis and legends Using tooltips Visual filters Setting page and report filters Creating Tables, Cards, Gauges and Maps Adding table elements Adding maps Working with cards Working with matrices KPIs and Gauges Conditional Formatting Setting rules Removing conditional formatting   Working with Data Models Merge Queries Setting up and using merge queries Merging in columns of data Creating a Data Model The data model Multiple data tables Connecting tables Building relationships Relationship types Building visuals from multiple tables Unpivoting Data Working with summary data Unpivoting data Using Hierarchies Using built in hierarchies Drill down Drill up See next level Expand a hierarchy Create a new hierarchy Grouping Grouping text fields Grouping date and number fields Creating Measures DAX functions DAX syntax Creating a new measure Using quick measures Using the PowerBI Service Shared workspaces My workspace Dashboards Reports Datasets Drill down in dashboards Focus mode Using Q&A Refreshing data Using Quick Insights Power BI Mobile App Using the Power BI Mobile App