Agile project management, already widely used for software development, is increasingly recognised as having much more general application. Continuous improvement programmes, business change projects, new technology development, research and development and a variety of other scenarios characterised by rapid change and high uncertainty can all benefit from an Agile approach. This programme presents the concepts and methods of Agile project management, and shows how to apply them to a range of project and change management situations. Participants will learn: how Agile project management can help with project and change management the 4 values and 12 principles of the Agile 'manifesto' and the range of Agile methodologies how to apply Agile project management methods and techniques in a range of project scenarios alternative Agile project management methods and how they can be applied and adapted what makes Agile project teams succeed the key roles and responsibilities needed to enable Agile project teams to work effectively how to encourage an Agile mindset within their organisation and how to move toward an Agile approach to managing projects 1 Introduction to Agile project management Overview of 'classical' project management and methodologies The link between project success and management performance Limitations of classical approaches and the need for Agile methods The 4 values and 12 principles of the Agile manifesto explained Agile project management values:Individuals and interactions over processes and toolsWorking outputs over comprehensive documentationCustomer collaboration over contract negotiationResponding to change over following a plan The cultural challenges of using Agile project management Choosing when and how to adopt Agile project management 2 Initiating a project using Agile project management Some key Agile methodologies explained: SCRUM, XP, Crystal Identifying and engaging project stakeholders; defining roles and responsibilities Setting the project vision and goals; defining project scope The Agile approach to requirements capture and elicitation of needs Tools and techniques for capturing and characterising requirements The role of documentation, reporting and process management 3 The Agile approach to definition and planning Understanding Agile planning; the 'planning onion' concept Developing the culture needed for collaborative involvement and iterative planning Defining project deliverables; the 'product backlog' concept Tools and techniques for defining and prioritising requirements in Agile projects Understanding and applying Agile estimating techniques Dealing with uncertainty and managing risks 4 The Agile approach to execution and delivery The results orientated, fast adapting culture of Agile teams The monthly 'Sprint' process for project planning and review The disciplines needed for effective daily SCRUM meetings Reviewing progress, managing change and project reporting Testing, completing and handing over of work packages Managing the interface between the project team and the business 5 Leadership and teamwork in Agile project teams Why Agile teams are different: the importance of individuals and interactions The skills and attributes needed to lead an Agile project team The challenges faced and skills needed by Agile team members Recognising team development needs; adopting the right leadership style Making the transition from project manager to Agile coach Key coaching skills explored: mentoring, facilitating, managing conflict
The Real Estate Analyst course has been taught non-stop to global real estate firms over the last 25 years, and is without doubt the core financial modelling training in your career portfolio. Whether you have an upcoming financial modelling test for a new job or an APC exam, the Real Estate Analyst course is the choice for you.
Duration 3 Days 18 CPD hours This course is intended for The audience for this course are data professionals and business intelligence professionals who want to learn how to accurately perform data analysis using Power BI. This course is also targeted toward those individuals who develop reports that visualize data from the data platform technologies that exist on both in the cloud and on-premises. This course covers the various methods and best practices that are in line with business and technical requirements for modeling, visualizing, and analyzing data with Power BI. The course will show how to access and process data from a range of data sources including both relational and non-relational sources. Finally, this course will also discuss how to manage and deploy reports and dashboards for sharing and content distribution. Prerequisites Understanding core data concepts. Knowledge of working with relational data in the cloud. Knowledge of working with non-relational data in the cloud. Knowledge of data analysis and visualization concepts. DP-900T00 Microsoft Azure Data Fundamentals is recommended 1 - Discover data analysis Overview of data analysis Roles in data Tasks of a data analyst 2 - Get started building with Power BI Use Power BI Building blocks of Power BI Tour and use the Power BI service 3 - Get data in Power BI Get data from files Get data from relational data sources Create dynamic reports with parameters Get data from a NoSQL database Get data from online services Select a storage mode Get data from Azure Analysis Services Fix performance issues Resolve data import errors 4 - Clean, transform, and load data in Power BI Shape the initial data Simplify the data structure Evaluate and change column data types Combine multiple tables into a single table Profile data in Power BI Use Advanced Editor to modify M code 5 - Design a semantic model in Power BI Work with tables Create a date table Work with dimensions Define data granularity Work with relationships and cardinality Resolve modeling challenges 6 - Add measures to Power BI Desktop models Create simple measures Create compound measures Create quick measures Compare calculated columns with measures 7 - Add calculated tables and columns to Power BI Desktop models Create calculated columns Learn about row context Choose a technique to add a column 8 - Use DAX time intelligence functions in Power BI Desktop models Use DAX time intelligence functions Additional time intelligence calculations 9 - Optimize a model for performance in Power BI Review performance of measures, relationships, and visuals Use variables to improve performance and troubleshooting Reduce cardinality Optimize DirectQuery models with table level storage Create and manage aggregations 10 - Design Power BI reports Design the analytical report layout Design visually appealing reports Report objects Select report visuals Select report visuals to suit the report layout Format and configure visualizations Work with key performance indicators 11 - Configure Power BI report filters Apply filters to the report structure Apply filters with slicers Design reports with advanced filtering techniques Consumption-time filtering Select report filter techniques Case study - Configure report filters based on feedback 12 - Enhance Power BI report designs for the user experience Design reports to show details Design reports to highlight values Design reports that behave like apps Work with bookmarks Design reports for navigation Work with visual headers Design reports with built-in assistance Tune report performance Optimize reports for mobile use 13 - Perform analytics in Power BI Explore statistical summary Identify outliers with Power BI visuals Group and bin data for analysis Apply clustering techniques Conduct time series analysis Use the Analyze feature Create what-if parameters Use specialized visuals 14 - Create and manage workspaces in Power BI Distribute a report or dashboard Monitor usage and performance Recommend a development life cycle strategy Troubleshoot data by viewing its lineage Configure data protection 15 - Manage semantic models in Power BI Use a Power BI gateway to connect to on-premises data sources Configure a semantic model scheduled refresh Configure incremental refresh settings Manage and promote semantic models Troubleshoot service connectivity Boost performance with query caching (Premium) 16 - Create dashboards in Power BI Configure data alerts Explore data by asking questions Review Quick insights Add a dashboard theme Pin a live report page to a dashboard Configure a real-time dashboard Set mobile view 17 - Implement row-level security Configure row-level security with the static method Configure row-level security with the dynamic method Additional course details: Nexus Humans PL-300T00: Microsoft Power BI Data Analyst 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 PL-300T00: Microsoft Power BI Data Analyst course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.
Duration 2 Days 12 CPD hours This course is intended for This course can be valuable for anyone who needs to write basic SQL or Transact-SQL queries. This includes anyone working with data as a data analyst, a data engineer, a data scientist, a database administrator or a database developer. It can also be useful for others peripherally involved with data, or wanting to learn more about working with data such as solution architects, students and technology managers. This course will teach the basics of Microsoft's dialect of the standard SQL language: Transact-SQL. Topics include both querying and modifying data in relational databases that are hosted in Microsoft SQL Server-based database systems, including: Microsoft SQL Server, Azure SQL Database and, Azure Synapse Analytics. 1 - Introduction to Transact-SQL Work with schemas Explore the structure of SQL statements Examine the SELECT statement Work with data types Handle NULLs 2 - Sort and filter results in T-SQL Sort your results Limit the sorted results Page results Remove duplicates Filter data with predicates 3 - Combine multiple tables with JOINs in T-SQL Understand joins concepts and syntax Use inner joins Use outer joins Use cross joins Use self joins 4 - Write Subqueries in T-SQL Understand subqueries Use scalar or multi-valued subqueries Use self-contained or correlated subqueries 5 - Use built-in functions and GROUP BY in Transact-SQL Categorize built-in functions Use scalar functions Use ranking and rowset functions Use aggregate functions Summarize data with GROUP BY Filter groups with HAVING 6 - Modify data with T-SQL Insert data Generate automatic values Update data Delete data Merge data based on multiple tables Additional course details: Nexus Humans DP-080T00 Querying Data with Microsoft Transact-SQL 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 DP-080T00 Querying Data with Microsoft Transact-SQL 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 The CompTIA Cloud Essentials+ Specialty certification is relevant to IT specialists, IT technical services specialists, IT relationship managers, IT architects, consultants, business and IT management, business process owners, and analysts. Overview Upon successful completion of this course, students will be able to: Learn the fundamental concepts of cloud computing. Learn the business aspects and impact of cloud computing. Differentiate the types of cloud solutions and the adoption measures needed for each. Identify the technical challenges and the mitigation measures involved in cloud computing. Identify the steps to successfully adopt cloud services. Identify the basic concepts of ITIL and describe how the ITIL framework is useful in the implementation of cloud computing in an organization. Identify the possible risks involved in cloud computing and the risk mitigation measures, and you will also identify the potential cost considerations for the implementation of cloud and its strategic benefits. Students will weigh the pros and cons of cloud computing to make effective decisions and meet IT challenges. 1 - Understanding Cloud Computing Concepts Topic A: Understand Basic Cloud Concepts and Terms Topic B: Identify Cloud Network and Cloud Storage Technologies Topic C: Recognize Cloud Design Aspects 2 - Applying Cloud Business Principles Topic A: Relate Cloud Concepts to Business Principles Topic B: Establish Cloud Vendor Relations Topic C: Distinguish the Financial Aspects of Engaging a Cloud Service Provider Topic D: Report Financial Expenditures 3 - Advising a Cloud Design and Migration Topic A: Relate Cloud Concepts to Cloud Design and Migration Topic B: Use Cloud Assessments Topic C: Manage Cloud Design Topic D: Compare Cloud Migration Approaches Topic E: Identify Benefits and Solutions of Cloud Services 4 - Operating in the Cloud Topic A: Relate Cloud Concepts to Technical Operations Topic B: Identify the Technical Aspects of Cloud Operations Topic C: Understand DevOps in the Cloud Topic D: Explain Cloud Security Concerns, Measures, and Concepts 5 - Managing Cloud Governance Topic A: Relate Cloud Concepts to Governance Topic B: Apply Risk Management Concepts Topic C: Understand Compliance and the Cloud Topic D: Manage Policies and Procedures for Cloud Services 6 - Appendix A: Mapping Course Content to the CompTIA Cloud Essentials+ (Exam CLO-002) 7 - Appendix B: CompTIA Cloud Essentials+ (Exam CLO-002) Acronyms 8 - Glossary 9 - Index Additional course details: Nexus Humans CompTIA Cloud Essentials Plus Certification (Exam CLO-002) 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 CompTIA Cloud Essentials Plus Certification (Exam CLO-002) 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.
PYTHON BOOTCAMP: This 12-week Python Data Analytics Data Boot Camp is designed to give you a complete skill set required by data analysts . You will be fully fluent and confident as a Python data analyst, with full understanding of Python Programming. From Data, databases, datasets, importing, cleaning, transforming, analysing to visualisation and creating awesome dashboards The course is a practical, instructor-lead program.
Data Visualization Courses London. In this Power BI Course, you will learn how to translate data trends, summaries, statistics and insights from your data into powerful and inspirational visualizations This course is ideal for managers and data analysts who need to make business decisions based on data.
Duration 5 Days 30 CPD hours This course is intended for This course is designed primarily for cybersecurity practitioners who perform job functions related to protecting information systems by ensuring their availability, integrity, authentication, confidentiality, and non-repudiation. This course focuses on the knowledge, ability, and skills necessary to provide for the defense of those information systems in a cybersecurity context, including protection, detection, analysis, investigation, and response processes. In addition, the course ensures that all members of an IT team?everyone from help desk staff to the Chief Information Officer?understand their role in these security processes. Overview In this course, you will assess and respond to security threats and operate a systems and network security analysis platform. You will: - Assess information security risk in computing and network environments. - Analyze reconnaissance threats to computing and network environments. - Analyze attacks on computing and network environments. - Analyze post-attack techniques on computing and network environments. - Implement a vulnerability management program. - Collect cybersecurity intelligence. - Analyze data collected from security and event logs. - Perform active analysis on assets and networks. - Respond to cybersecurity incidents. - Investigate cybersecurity incidents. - Address security issues with the organization's technology architecture. The course introduces tools and tactics to manage cybersecurity risks, identify various types of common threats, evaluate the organization's security, collect and analyze cybersecurity intelligence, and handle incidents as they occur. 1 - ASSESSING INFORMATION SECURITY RISK Identify the Importance of Risk Management Assess Risk Mitigate Risk Integrate Documentation into Risk Management 2 - ANALYZING RECONNAISSANCE THREATS TO COMPUTING AND NETWORK ENVIRONMENTS Assess the Impact of Reconnaissance Incidents Assess the Impact of Social Engineering 3 - ANALYZING ATTACKS ON COMPUTING AND NETWORK ENVIRONMENTS Assess the Impact of System Hacking Attacks Assess the Impact of Web-Based Attacks Assess the Impact of Malware Assess the Impact of Hijacking and Impersonation Attacks Assess the Impact of DoS Incidents Assess the Impact of Threats to Mobile Security Assess the Impact of Threats to Cloud Security 4 - ANALYZING POST-ATTACK TECHNIQUES Assess Command and Control Techniques Assess Persistence Techniques Assess Lateral Movement and Pivoting Techniques Assess Data Exfiltration Techniques Assess Anti-Forensics Techniques 5 - MANAGING VULNERABILITIES IN THE ORGANIZATION Implement a Vulnerability Management Plan Assess Common Vulnerabilities Conduct Vulnerability Scans Conduct Penetration Tests on Network Assets 6 - COLLECTING CYBERSECURITY INTELLIGENCE Deploy a Security Intelligence Collection and Analysis Platform Collect Data from Network-Based Intelligence Sources Collect Data from Host-Based Intelligence Sources 7 - ANALYZING LOG DATA Use Common Tools to Analyze Logs Use SIEM Tools for Analysis 8 - PERFORMING ACTIVE ASSET AND NETWORK ANALYSIS Analyze Incidents with Windows-Based Tools Analyze Incidents with Linux-Based Tools Analyze Malware Analyze Indicators of Compromise 9 - RESPONDING TO CYBERSECURITY INCIDENTS Deploy an Incident Handling and Response Architecture Mitigate Incidents Prepare for Forensic Investigation as a CSIRT 10 - INVESTIGATING CYBERSECURITY INCIDENTS Apply a Forensic Investigation Plan Securely Collect and Analyze Electronic Evidence Follow Up on the Results of an Investigation 11 - ADDRESSING SECURITY ARCHITECTURE ISSUES Remediate Identity and Access Management Issues Implement Security During the SDLC Additional course details: Nexus Humans CompTIA Cybersecurity Analyst Certification (CySA Plus) (Exam CS0-003) 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 CompTIA Cybersecurity Analyst Certification (CySA Plus) (Exam CS0-003) 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.