2751 Professional Development courses delivered Online

The work of a technical team is invariably challenging and often unpredictable. Definition of the work can be problematic, timescales can be hard to estimate and the right technical approach difficult to select. Staff involved in this type of work usually have very high levels of specialist knowledge in their field and have high expectations of those who lead them. In addition to the challenges of the work, the team leader often has to balance the need for professional excellence with financial and commercial considerations and to ensure that team goals are realistic by being an effective negotiator with other project and senior managers. These characteristics make technical team leadership a demanding and complex activity. This programme aims to help participants develop the skills needed to become an effective technical team leader. The objectives of this programme are to help participants: understand the significance of leadership skills and their impact on team performance review the key skills needed to be an effective, 'multi-dimensional' team leader and learn how to develop, adapt and apply them in practice learn how to identify the preferred leadership style for the context and organisational culture and how to develop personal style versatility understand the role of the project leader in building an effective team and the skills required to promote and sustain team performance gain a better understanding of the interpersonal skills needed to motivate individual team members and harness the full potential of the team DAY ONE 1 Technical teams and leadership What is a leader? How much can leadership be learned? The team environment and the impact of leadership skills The characteristics of high performance teams and their leaders Some useful models and theories of leadership explored Types of leadership; choosing how to use leadership power Evaluating personal leadership style; how to develop style flexibility 2 Essential skills for team leaders 3 key dimensions of effective leadership: inwards, outwards and upwards Developing and promoting a 'team vision': strategic thinking skills The vital role of communication skills and how to develop them Understanding others; emotional intelligence skills Being a visible leader; behavioural and influencing skills Building effective relationships; the importance of trust and respect DAY TWO 3 Leading inwards to build the team The role of leadership in developing team performance Understanding individuals in the team; recognising team role preferences Managing conflict and promoting positive team dynamics Setting standards, maintaining discipline and rewarding performance Harnessing team potential: building motivation within the team Promoting team learning; the team leader as coach / mentor 4 Leading outwards and upwards to support the team Negotiating realistic team goals; effective influencing skills Gaining empowerment and support from the key stakeholders Leading upwards: knowing when and how to take the initiative Building team credibility within the organisation; helping the team deliver Becoming an effective team player in leadership teams Building and maintaining rapport with influential stakeholders

Duration 1 Days 6 CPD hours This course is intended for This seminar is intended for individuals who want to gain intermediate knowledge of Sales. Overview Upon successful completion of this seminar, guests will gain intermediate knowledge of Sales Leadership and learning resource availability. In this seminar, guests will obtain knowledge in Sales Leadership, leveraging New Horizons' Leadership and Professional Development Program. Sales Leadership Session Sales Leadership Topics

This webinar is part of a series of free, hands-on practical webinars hosted by Cademy on how to get yourself set up to sell spaces, coordinate ticket sales and build online content.  This is the first webinar in the series and the focus will be on:  How to create an educator profile on Cademy How to list your workshops How to manage bookings How to configure payments with Stripe and Cademy There’s no commitment to sign up to anything, and it’s free to join in. So please share with anyone you think might be interested. We're really looking forward to meeting you.

Duration 5 Days 30 CPD hours This course is intended for This is an introductory- level Java programming course, designed for experienced developers who wish to get up and running with JEE, or who need to reinforce sound Java for Web / JEE coding practices. Attendees should have a working knowledge of developing basic Java software applications. Overview Students who attend Mastering JEE Web Application Development will leave the course armed with the required skills to design and build scalable, secure, maintainable web applications - leveraging our extensive experience in the delivery of scalable enterprise applications with complex web interfaces based on JEE technologies. Throughout this training, you will be confronted with common web application design problems and given the tools you will need to solve them, such as JEE design patterns. You will also be exposed to a range of JEE and web technologies such as Servlets, JSPs, JSF, JNDI, CDI and advice on when and how to use them. Students will also learn about the capabilities of servlets, their advantages, servlet architecture, and session management. Developers will also learn about managing resources, deployment, and application models, how to use custom tags, and how to build robust and capable web applications using servlets and other components. The course begins with a discussion of web application architecture. A major part of the course is spent on the various web components that are used to implement dynamic web applications. Students will learn not only specific topics and APIs but also how to fit the pieces together into a complete application. Working within in an engaging, hands-on learning environment, guided by our expert team, attendees will learn to: Design and build web applications from both business and technical requirements Build web interfaces with JSF, JSPs and Servlets, using the latest technologies in JEE. Write maintainable web applications that separate HTML and Java Understand the design and development of web applications using Servlets, JSPs, web fragments, and JSF Work JEE's version of dependency injection (CDI) Make Servlets cooperate and share data Store and process session information Deal with concurrency issues Access databases with JPA Work with annotations included in JEE Work with WebSockets as well as asynchronous servlets Use Java Bean validation in a web application Properly handle various types of exceptions This course is for experienced Java developers who are new to JEE and need to get up and running with essential dynamic web development skills. You will gain core JEE knowledge and skills that can be used as the foundation for developing production-quality web applications to a basic level. Developing Java EE applications Enterprise Development Java EE Core Components JEE Dynamic Web Applications Introduction to Servlets Form processing using Servlets Java Server Pages Implementing MVC in JEE Session Management JEE Servlet Filters and Listeners Servlet Filters Expression Language 3.0 (EL) Overview of EL The EL language Custom Tags Introduction to Custom Tags The Java Standard Tag Library Contexts and Dependency Injection (CDI) Introduction to CDI Using CDI CDI and Java EE Using Resources JEE DataSources Overview of JPA Java API for WebSocket Introduction to WebSocket Implementing WebSocket Endpoint Extending WebSockets Java Bean Validation (JSR 349) Introduction to Bean Validation Bean Validation Managing Web Applications Web Fragments Error Handling Asynchronous Servlets Web Security Introduction to Java Server Faces Introduction to JSF JSF Components Facelets Facelets Facelets Templating and Resources Additional course details: Nexus Humans Mastering JEE Web Development (TT5100) 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 Mastering JEE Web Development (TT5100) 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.

This programme has a simple objective: to help a sales team create and implementa comprehensive account development plan. If you want to earn strategic partner or preferred supplier status with your clients and customers then you need to add value to their business, consistently, and you can only do this if you have a plan - a key account management plan. This programme will help participants: Discover opportunities - through a deeper understanding of the customer's business Develop partnership - through a better 'value proposition' for the customer Increase repeat business - based on higher customer satisfaction Improve synergy - by getting everyone to 'sing from the same hymn sheet' Develop a collaborative account plan - validated by the customer and their own management Secure resources - management will align resources to execute soundly based account plans Win an increased share of 'customer wallet' - through systematic account development 1 The six principles of strategic account development Introduction to the PROFIT account development model:- Performance- Relationships- Objectives and goals- Feedback- Integration- Teamwork Practical account development strategies: overview and case studies 2 Performance Use practical tools to help you manage and measure account performance and success Design and build a monthly account dashboard for all sizes of account Prioritise and manage accounts and customers pro-actively and successfully, using proven planning tools Develop a cross-selling strategy to integrate products or solutions into the customer's business as closely as possible 3 Relationships How to build and manage key relationships within an account Qualifying and managing key influencers accurately Producing a 'relationship matrix' for each account quickly and easily Approaching and developing new contacts strategically Tools and techniques for successful tracking of contacts and call-backs Developing a coach or advocate in every customer organisation pro-actively 4 Objectives and goals Where are you now? - how to establish your competitive position within an account Know how to set, monitor and track key objectives for accounts over the short, medium and long term Selling against the competition - developing both long- and short-term sales strategies 5 Feedback - building loyal and satisfied customers The correct way to manage customer expectations and create listening loops within an account How to monitor and track your customer's perception and satisfaction with your organisation Building a personalised satisfaction matrix for each account Customer review meetings - best practice in building loyalty by regular joint planning events Understanding the concept of long-term customer value and the importance of adapting a customer-focused attitude 6 Integration How to integrate your products or solutions with the customer's business needs and processes Spot and react to early warning signals that may cause an account's loyalty to fade, reduce revenue or switch to a competitor Developing a loyalty strategy for key accounts or groups of smaller accounts Getting your message and strategy across to C-level contacts 7 Teamwork Working with others to achieve your account goals Gaining internal commitment from your organisation Managing and working with a virtual team Creating cross-departmental communication loops 8 Putting it all together Personal account reviews Personal learning summary and action plans

Duration 3 Days 18 CPD hours This course is intended for Report Authors Overview What is IBM Cognos Analytics ? Reporting Examine dimensionally modelled and dimensional data sources Examine personal data sources and data modules Examine List reports Aggregate measure/fact data Use shared dimensions to create multi-fact queries Add repeated information to reports Create crosstab reports Create complex crosstab reports Format, sort, and aggregate data in a crosstab report Create discontinuous crosstab reports Create Visualization reports Add business logic to reports using IBM Cognos Analytics ? Reporting Focus reports using filters Focus reports using prompts Augment reports using calculations Extend report functionality in IBM Cognos Analytics - Reporting Customize reports with conditional formatting Conditionally format one crosstab measure based on another Drill-through definitions Enhance the report layout Use additional report building techniques This offering provides Business and Professional Authors with an introduction to report building techniques using relational data models. Techniques to enhance, customize, and manage professional reports will be explored. Activities will illustrate and reinforce key concepts during this learning opportunity. What is IBM Cognos Analytics - Reporting? Create a simple list report Create a report from a dimensionally modeled relational data source Examine personal data sources and data modules Upload personal data Upload custom images Use navigation paths Create a report from a personal data source Examine list reports Group data in a list Format columns in a list Include headers and footers in a list Enhance a list report Aggregate measure/fact data Identify differences in aggregation Explore data aggregation Use shared dimensions to create multi-fact queries Create a multi-fact query in a list report Add repeated information to reports Create a mailing list report Create crosstab reports Add measures to a crosstab Data sources for a crosstab Create a simple crosstab report Create complex crosstab reports Add items as peers Create crosstab nodes and crosstab members Create a complex crosstab report Format, sort, and aggregate data in a crosstab Sort, format, and aggregate a crosstab report Create discontinuous crosstab reports Present unrelated items using a discontinuous crosstab Create a visualization report Create and format a visualization report Create a report that uses a Map visualization Show the same data graphically and numerically Focus reports using filters Apply filters to a report Apply a detail filter on fact data in a report Apply a summary filter to a report Focus reports using prompts Create a prompt by adding a parameter Add a value prompt to a report Add a Select & search prompt to a report Create a cascading prompt Augment reports using calculations Add calculations to a report Display prompt selections in the report title Customize reports with conditional formatting Create a multilingual report Highlight exceptional data and conditionally render a column Drill-through definitions Let users navigate to related data in IBM Cognos Analytics Enhance report layout Create a report structured on data items Create a condensed list report Use additional report building techniques Section a report and reuse objects within the same report Reuse layout components in a different report Explore options for reports that contain no data Additional course details: Nexus Humans B6158 IBM Cognos Analytics - Author Reports Fundamentals (v11.0.x) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the B6158 IBM Cognos Analytics - Author Reports Fundamentals (v11.0.x) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 3 Days 18 CPD hours This course is intended for This course is aimed at anyone who wants to harness the power of data analytics in their organization. Overview After completing this course delegates will be capable of writing effective R code to manipulate, analyse and visualise data to enable their organisations make better, data-driven decisions. This course teaches delegates with no prior programming or data analytics experience how to perform data manipulation, data analysis and data visualisation in R. Course Outline Becoming a world class data analytics practitioner requires mastery of the most sophisticated data analytics tools. The R programming language is one of the most powerful and flexible tools in the data analytics toolkit. This course teaches delegates with no prior programming or data analytics experience how to perform data manipulation, data analysis and data visualisation in R. Mastery of these techniques will allow delegates to immediately add value in their work place by extracting valuable insight from company data to allow better, data-driven decisions. The course will explore the following topics through a series of interactive workshop sessions: What is R? Basic R programming conventions Data structures in R Accessing data in R Descriptive statistics in R Statistical analysis in R Data manipulation in R Data visualisation in R Additional course details: Nexus Humans Beginning Data Analytics With R 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 Beginning Data Analytics With R course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 4 Days 24 CPD hours This course is intended for This basic course is for business data analysts who want to profile and assess data using Information Analyzer, also data quality analysts who need to measure data quality. Overview Analyze data structures to determine agreement with documented metadataDiscover data anomaliesIdentify invalid and incomplete data valuesDetermine potential primary keys to table structuresAdd business meaning to dataProduce deliverables that can be used by business users and ETL developersConfigure Information AnalyzerAdminister the Information Analyzer environmentUnderstand security considerations around data analysisUnderstand the methodology supporting data analysisUse Information Analyzer to analyze data content and structureUse Information Analyzer to construct data rules and utilize IBM-supplied data rule templates In this course, you will learn how to use the IBM InfoSphere suite to analyze data and report results to business users. Course Outline Information Analysis concepts Information Server overview Information Analyzer overview Information Analyzer Setup Column analysis Concepts Basic data profiling techniques in practice Data profiling techniques Primary key analysis Concepts Basic data profiling techniques in practice Foreign key and cross domain analysis Concepts Basic data profiling techniques in practice Baseline analysis Reporting and publishing Extending the meta data using Information Governance Catalog and Information Analyzer Data Rules and Metrics Additional course details: Nexus Humans KM803 IBM Information Analyzer Essentials v11.5 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 KM803 IBM Information Analyzer Essentials v11.5 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 aimed at anyone who wants to harness the power of data analytics in their organization including: Business Analysts, Data Analysts, Reporting and BI professionals Analytics professionals and Data Scientists who would like to learn Python Overview This course teaches delegates with no prior programming or data analytics experience how to perform data manipulation, data analysis and data visualization in Python. Mastery of these techniques and how to apply them to business problems will allow delegates to immediately add value in their workplace by extracting valuable insight from company data to allow better, data-driven decisions. Outcome: After attending this course, delegates will: Be able to write effective Python code Know how to access their data from a variety of sources using Python Know how to identify and fix data quality using Python Know how to manipulate data to create analysis ready data Know how to analyze and visualize data to drive data driven decisioning across your organization Becoming a world class data analytics practitioner requires mastery of the most sophisticated data analytics tools. These programming languages are some of the most powerful and flexible tools in the data analytics toolkit. From business questions to data analytics, and beyond For data analytics tasks to affect business decisions they must be driven by a business question. This section will formally outline how to move an analytics project through key phases of development from business question to business solution. Delegates will be able: to describe and understand the general analytics process. to describe and understand the different types of analytics can be used to derive data driven solutions to business to apply that knowledge to their business context Basic Python Programming Conventions This section will cover the basics of writing R programs. Topics covered will include: What is Python? Using Anaconda Writing Python programs Expressions and objects Functions and arguments Basic Python programming conventions Data Structures in Python This section will look at the basic data structures that Python uses and accessing data in Python. Topics covered will include: Vectors Arrays and matrices Factors Lists Data frames Loading .csv files into Python Connecting to External Data This section will look at loading data from other sources into Python. Topics covered will include: Loading .csv files into a pandas data frame Connecting to and loading data from a database into a panda data frame Data Manipulation in Python This section will look at how Python can be used to perform data manipulation operations to prepare datasets for analytics projects. Topics covered will include: Filtering data Deriving new fields Aggregating data Joining data sources Connecting to external data sources Descriptive Analytics and Basic Reporting in Python This section will explain how Python can be used to perform basic descriptive. Topics covered will include: Summary statistics Grouped summary statistics Using descriptive analytics to assess data quality Using descriptive analytics to created business report Using descriptive analytics to conduct exploratory analysis Statistical Analysis in Python This section will explain how Python can be used to created more interesting statistical analysis. Topics covered will include: Significance tests Correlation Linear regressions Using statistical output to create better business decisions. Data Visualisation in Python This section will explain how Python can be used to create effective charts and visualizations. Topics covered will include: Creating different chart types such as bar charts, box plots, histograms and line plots Formatting charts Best Practices Hints and Tips This section will go through some best practice considerations that should be adopted of you are applying Python in a business context.

Duration 2 Days 12 CPD hours This course is intended for Administrators Overview Please refer to course overview This offering covers the fundamental concepts of installing and configuring IBM Cognos Analytics, and administering servers and content, in a distributed environment. In the course, participants will identify requirements for the installation and configuration of a distributed IBM Cognos Analytics software environment, implement security in the environment, and manage the server components. Students will also monitor and schedule tasks, create data sources, and manage and deploy content in the portal and IBM Cognos Administration. Introduction to IBM Cognos Analytics administration IBM Cognos Analytics components Administration workflow IBM Cognos Administration IBM Cognos Configuration Identify IBM Cognos Analytics architecture Features of the IBM Cognos Analytics architecture Examine the multi-tiered architecture, and identify logging types and files Examine IBM Cognos Analytics servlets Performance and installation planning Balance the request load Configure IBM Cognos Analytics Secure the IBM Cognos Analytics environment Identify the IBM Cognos Analytics security model Define authentication in IBM Cognos Analytics Define authorization in IBM Cognos Analytics Identify security policies Secure the IBM Cognos Analytics environment Administer the IBM Cognos Analytics server environment Administer IBM Cognos Analytics servers Monitor system performance Manage dispatchers and services Tune system performance, and troubleshoot the server Audit logging Dynamic cube data source administration workflow Manage run activities View current, past, and upcoming activities Manage schedules Manage content in IBM Cognos Administration Data sources and packages Manage visualizations in the library Deployment Other content management tasks Examine departmental administration capabilities Create and manage team members Manage activities Create and manage content and data Manage system settings Manage Themes, Extensions, and Views Share services with multiple tenants