368 Analytics courses in Crowborough delivered Live Online

This course will show delegates how to appraise projects in Excel, incorporate and communicate updates as they happen and ultimately understand how to convert an opportunistic property investment into a core asset that can be sold on.

PfMP® Exam Prep: In-House Training This is an intensive PfMP® Exam preparation course. This learning experience guides you through the multi-faceted discipline of portfolio management by focusing on the related technical, leadership, and business skills required to navigate it in the real world. First and foremost, this is an intensive PfMP® exam preparation course. Over the course, we go beyond exam prep to provide selected practice in applying key portfolio management skills, tools, and techniques. This learning experience guides you through the multi-faceted discipline of portfolio management by focusing on the related technical, leadership, and business skills required to navigate it in the real world. The journey zooms in and out between governance context and specific operational activities. The ultimate goal is practical application, with the bonus of certification along the way. What You Will Learn By the end of this program, you will be able to: Align and manage the portfolio, strategically, to satisfy organizational objectives and priorities, through benefit realization Articulate and emulate the role of a portfolio manager Apply the principles and skills of a portfolio manager to your real-world environment Study and prepare for the PfMP® Examination Apply for the certification, per the PMI PfMP Handbook and pass the initial panel review on your application Getting Started Course Overview Details of the PfMP® Certification process Foundation Concepts Projects, program, and portfolios A portfolio management process Strategy and value The role of the portfolio manager The role of key stakeholders Life cycle management The Portfolio Life Cycle Overview of Life Cycle Portfolio Management Information System (PMIS) Governance within the Portfolio Life Cycle Strategic Management Strategy concepts Supporting documentation and the strategic plan Planning and optimization Organizational risk appetite Managing strategic change Governance Management Overview and Guiding Principles The Concept of Governance Effective Design Factors Governance Roles Capacity and Capability Management Overview and Guiding Principles Capacity Management and Planning Supply and Demand (Management and Optimization) Organization Capabilities (Assessment and Development) Performance Management (Reporting, Analytics, and Balance) Stakeholder Engagement The Importance of Stakeholders Overview and Guiding Principles Definition and Identification Analysis and Planning Communications Approaches and Management Value Management Overview (Guiding Principles, Definition, and Components) Negotiating Expected Value Maximizing Value Assuring Value Realizing Value Measuring and Reporting Value A Look at Tools Risk Management Overview and Guiding Principles Portfolio Risk Planning Portfolio Risk Identification Portfolio Risk Assessment Portfolio Risk Response Examination Content Outline (ECO) Overview Structure Strategic Tasks Mapping Governance Tasks Mapping Performance Tasks Mapping Risk Tasks Mapping Communication Tasks Mapping List of Knowledge and Skills Exam Prep and Practice Overview Documenting experience Submitting the application Preparing to sit for the exam

Duration 4 Days 24 CPD hours This course is intended for This course is designed for data analysts, business intelligence specialists, developers, system architects, and database administrators. Overview Skills gained in this training include:The features that Pig, Hive, and Impala offer for data acquisition, storage, and analysisThe fundamentals of Apache Hadoop and data ETL (extract, transform, load), ingestion, and processing with HadoopHow Pig, Hive, and Impala improve productivity for typical analysis tasksJoining diverse datasets to gain valuable business insightPerforming real-time, complex queries on datasets Cloudera University?s four-day data analyst training course focusing on Apache Pig and Hive and Cloudera Impala will teach you to apply traditional data analytics and business intelligence skills to big data. Hadoop Fundamentals The Motivation for Hadoop Hadoop Overview Data Storage: HDFS Distributed Data Processing: YARN, MapReduce, and Spark Data Processing and Analysis: Pig, Hive, and Impala Data Integration: Sqoop Other Hadoop Data Tools Exercise Scenarios Explanation Introduction to Pig What Is Pig? Pig?s Features Pig Use Cases Interacting with Pig Basic Data Analysis with Pig Pig Latin Syntax Loading Data Simple Data Types Field Definitions Data Output Viewing the Schema Filtering and Sorting Data Commonly-Used Functions Processing Complex Data with Pig Storage Formats Complex/Nested Data Types Grouping Built-In Functions for Complex Data Iterating Grouped Data Multi-Dataset Operations with Pig Techniques for Combining Data Sets Joining Data Sets in Pig Set Operations Splitting Data Sets Pig Troubleshoot & Optimization Troubleshooting Pig Logging Using Hadoop?s Web UI Data Sampling and Debugging Performance Overview Understanding the Execution Plan Tips for Improving the Performance of Your Pig Jobs Introduction to Hive & Impala What Is Hive? What Is Impala? Schema and Data Storage Comparing Hive to Traditional Databases Hive Use Cases Querying with Hive & Impala Databases and Tables Basic Hive and Impala Query Language Syntax Data Types Differences Between Hive and Impala Query Syntax Using Hue to Execute Queries Using the Impala Shell Data Management Data Storage Creating Databases and Tables Loading Data Altering Databases and Tables Simplifying Queries with Views Storing Query Results Data Storage & Performance Partitioning Tables Choosing a File Format Managing Metadata Controlling Access to Data Relational Data Analysis with Hive & Impala Joining Datasets Common Built-In Functions Aggregation and Windowing Working with Impala How Impala Executes Queries Extending Impala with User-Defined Functions Improving Impala Performance Analyzing Text and Complex Data with Hive Complex Values in Hive Using Regular Expressions in Hive Sentiment Analysis and N-Grams Conclusion Hive Optimization Understanding Query Performance Controlling Job Execution Plan Bucketing Indexing Data Extending Hive SerDes Data Transformation with Custom Scripts User-Defined Functions Parameterized Queries Choosing the Best Tool for the Job Comparing MapReduce, Pig, Hive, Impala, and Relational Databases Which to Choose?

Course Overview: The "FinTech and Big Data Analytics" course provides an in-depth exploration of the dynamic intersection between financial technology (FinTech) and big data. Learners will gain essential knowledge about the innovative solutions disrupting the financial services industry, such as cryptocurrencies, insurtech, and regtech. The course offers insights into the tools, technologies, and trends shaping the future of finance, with a specific focus on how big data analytics is transforming business models and decision-making. By the end of the course, learners will have a comprehensive understanding of FinTech's growth and its applications, enabling them to make informed decisions in this rapidly evolving field. Course Description: This course delves deeper into the core concepts of financial technology and big data, exploring the impact of FinTech innovations on traditional financial systems. Topics covered include the rise of cryptocurrencies, regulatory technology (RegTech), the development of insurance technologies (InsurTech), and the use of big data in reshaping business strategies. Learners will explore the key technologies that drive FinTech, such as blockchain, artificial intelligence (AI), and machine learning, and learn how they enable data-driven decision-making in finance. The course prepares learners for the evolving future of FinTech, equipping them with the necessary skills to understand and navigate this transformative landscape. Course Modules: Module 01: Introduction to Financial Technology – FinTech Module 02: Exploring Cryptocurrencies Module 03: RegTech Module 04: Rise of InsurTechs Module 05: Big Data Basics: Understanding Big Data Module 06: The Future of FinTech (See full curriculum) Who is this course for? Individuals seeking to understand the financial technology landscape. Professionals aiming to advance their careers in the rapidly evolving FinTech sector. Beginners with an interest in emerging financial technologies and data analytics. Entrepreneurs looking to innovate within the financial services industry. Career Path: Financial Analyst FinTech Specialist Data Analyst in Financial Services Blockchain Developer RegTech Consultant InsurTech Specialist Big Data Analyst in Finance

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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 2 Days 12 CPD hours This course is intended for Cybersecurity analysts and engineers Security operations specialists Overview Successful completion of this instructor-led course with hands-on lab activities should enable participants to: Investigate and manage incidents Describe the Cortex XDR causality and analytics concepts Analyze alerts using the Causality and Timeline Views Work with Cortex XDR Pro actions such as remote script execution Create and manage on-demand and scheduled search queries in the Query Center Create and manage the Cortex XDR rules BIOC and IOC Working with Cortex XDR assets and inventories Write XQL queries to search datasets and visualize the result sets Work with Cortex XDR's external-data collection This instructor-led course teaches you how to use the Incidents pages of the Cortex XDR management console to investigate attacks. It explains causality chains, detectors in the Analytics Engine, alerts versus logs, log stitching, and the concepts of causality and analytics. You will learn how to analyze alerts using the Causality and Timeline Views and how to use advanced response actions, such as remediation suggestions, the EDL service, and remote script execution. Multiple modules focus on how to leverage the collected data. You will create simple search queries in one module and XDR rules in another. The course demonstrate how to use specialized investigation views to visualize artifact-related data, such as IP and Hash Views. Additionally, it provides an introduction to XDR Query Language (XQL). The course concludes with Cortex XDR external-data collection capabilities, including the use of Cortex XDR API to receive external alerts. This class is powered by Cloud Harmonics. Course Outline Module 1 - Cortex XDR Incidents Module 2 - Causality and Analytics Concepts Module 3 - Causality Analysis of Alerts Module 4 - Advanced Response Actions Module 5 - Building Search Queries Module 6 - Building XDR Rules Module 7 - Cortex XDR Assets Module 8 - Introduction to XQL Module 9 - External Data Collection

Level 7 Diploma In Logistics And Supply Chain Management Pathway To MSc In Logistics And Supply Chain Management Level 7 Diploma in Logistics and Supply Chain Management (QCF) – 6 - 8 Months Credits: 120 Credits The objective of the Level 7 Diploma in Logistics and Supply Chain Management qualification is to broaden learners’ understanding of logistics and supply chain management and is designed for those who wish to prepare for a first professional role and future career in the field. It is also suitable for logistics and supply chain professionals in the early stages of their career looking to enhance their knowledge and skills and move to the next level professionally.This programme is a Pathway programme to MSc in Logistics and Supply Chain Management. Course Details Successful completion of this qualification will equip learners with the specialist knowledge and skills needed to further their career as a logistics and supply chain professional as well as the opportunity to embark on further study towards a relevant Master’s programme with advanced standing.The Level 7 Diploma in Logistics and Supply Chain Management consists of 6 mandatory units for a combined total of 120 credits, 1200 hours Total Qualification Time (TQT) and 600 Guided Learning Hours (GLH) for the completed qualification.Modules (120 Credits): Logistics Management Supply Chain Planning, Modelling and Analytics Procurement and Supply Management Supply Chain and Operations Strategy Sustainable Operations Management Business Research Methods Accreditation All MSBM courses are accredited by the relevant partners and awarding bodies. Please refer to MSBM accreditation in about us for more details. University Progression University Top-up On completion of this course, students have the opportunity to complete a Master degree programme from a range of UK universities. The top-up programme can be studied online or on campus. The top-up comprises the final 60 credits which consist of either a dissertation or a dissertation and one module. (The course tuition fee listed above does NOT include the top-up fees) University Progression Click here to see University routes and fee information for progression. Entry Requirements For entry onto the Level 7 Diploma in Logistics and Supply Chain Management leading to the MSc Logistics and Supply Chain Management qualification, learners must possess: An honours degree in related subject or UK level 6 diploma or equivalent overseas qualification i.e. Bachelors Degree or Higher National Diploma OR Mature learners (over 25) with at least 5 years of management experience if they do not possess the above qualification (this is reviewed on a case by case basis) Workshops Workshops are conducted by live webinars for all students. Visa Requirements There is no Visa requirement for this programme.

Duration 3 Days 18 CPD hours This course is intended for The primary audience for this course are Application Consultants, Business Analysts, Business Process Owners/Team Leads/Power Users, Solution Architects, and System Architects. Overview Describe the SAP BusinessObjects Business Intelligence tools.Learn about the use cases and get an overview of basic functions of the most important BusinessObjects reporting tools. In this course, students describe the SAP BusinessObjects Business Intelligence tools and learn about the use cases by getting an overview of basic functions of the most important BusinessObjects reporting tools. Overview of SAP BusinessObjects Business Intelligence (BI) 4.1 Describing SAP Analytics Solutions Identifying the Components of SAP BusinessObjects 4.1 Semantic Layer in SAP BusinessObjects BI 4.1 Describing Semantic Layer Technology Creating a Universe in the Information Design Tool SAP Crystal Reports Creating a Report in SAP Crystal Reports for Enterprise Creating a Report in SAP Crystal Reports 2013 Differentiating SAP Crystal Reports 2013 and SAP Crystal Reports for Enterprise SAP BusinessObjects Web Intelligence Creating Web Intelligence Documents in SAP BusinessObjects Web Intelligence SAP BusinessObjects Analysis, Edition for Microsoft Office Creating a Workbook in SAP BusinessObjects Analysis, Edition for Microsoft Office SAP BusinessObjects Analysis, Edition for OLAP Creating a Workspace with SAP BusinessObjects Analysis, Edition for OLAP SAP BusinessObjects Design Studio 1.2 Creating an Analytical Application in SAP BusinessObjects Design Studio 1.2 SAP BusinessObjects Dashboards Creating a Dashboard with SAP BusinessObjects Dashboards SAP BusinessObjects Explorer Creating an SAP BusinessObjects Explorer Information Space SAP Lumira and SAP Predictive Analysis Visualizing Data in SAP Lumira Forecasting in SAP Predictive Analysis Additional course details: Nexus Humans SAPBI Introduction to SAP BusinessObjects BI Solutions 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 SAPBI Introduction to SAP BusinessObjects BI Solutions 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 Real Estate Financial Modelling course will enhance delegates skills in crafting sophisticated financial models tailored for debt financing within the Real Estate sector.