3927 Analyst courses delivered Online

Duration 3 Days 18 CPD hours This course is intended for This in an intermediate and beyond-level course is geared for experienced Python developers looking to delve into the exciting field of Natural Language Processing. It is ideally suited for roles such as data analysts, data scientists, machine learning engineers, or anyone working with text data and seeking to extract valuable insights from it. If you're in a role where you're tasked with analyzing customer sentiment, building chatbots, or dealing with large volumes of text data, this course will provide you with practical, hands on skills that you can apply right away. Overview This course combines engaging instructor-led presentations and useful demonstrations with valuable hands-on labs and engaging group activities. Throughout the course you'll: Master the fundamentals of Natural Language Processing (NLP) and understand how it can help in making sense of text data for valuable insights. Develop the ability to transform raw text into a structured format that machines can understand and analyze. Discover how to collect data from the web and navigate through semi-structured data, opening up a wealth of data sources for your projects. Learn how to implement sentiment analysis and topic modeling to extract meaning from text data and identify trends. Gain proficiency in applying machine learning and deep learning techniques to text data for tasks such as classification and prediction. Learn to analyze text sentiment, train emotion detectors, and interpret the results, providing a way to gauge public opinion or understand customer feedback. The Hands-on Natural Language Processing (NLP) Boot Camp is an immersive, three-day course that serves as your guide to building machines that can read and interpret human language. NLP is a unique interdisciplinary field, blending computational linguistics with artificial intelligence to help machines understand, interpret, and generate human language. In an increasingly data-driven world, NLP skills provide a competitive edge, enabling the development of sophisticated projects such as voice assistants, text analyzers, chatbots, and so much more. Our comprehensive curriculum covers a broad spectrum of NLP topics. Beginning with an introduction to NLP and feature extraction, the course moves to the hands-on development of text classifiers, exploration of web scraping and APIs, before delving into topic modeling, vector representations, text manipulation, and sentiment analysis. Half of your time is dedicated to hands-on labs, where you'll experience the practical application of your knowledge, from creating pipelines and text classifiers to web scraping and analyzing sentiment. These labs serve as a microcosm of real-world scenarios, equipping you with the skills to efficiently process and analyze text data. Time permitting, you?ll also explore modern tools like Python libraries, the OpenAI GPT-3 API, and TensorFlow, using them in a series of engaging exercises. By the end of the course, you'll have a well-rounded understanding of NLP, and will leave equipped with the practical skills and insights that you can immediately put to use, helping your organization gain valuable insights from text data, streamline business processes, and improve user interactions with automated text-based systems. You?ll be able to process and analyze text data effectively, implement advanced text representations, apply machine learning algorithms for text data, and build simple chatbots. Launch into the Universe of Natural Language Processing The journey begins: Unravel the layers of NLP Navigating through the history of NLP Merging paths: Text Analytics and NLP Decoding language: Word Sense Disambiguation and Sentence Boundary Detection First steps towards an NLP Project Unleashing the Power of Feature Extraction Dive into the vast ocean of Data Types Purification process: Cleaning Text Data Excavating knowledge: Extracting features from Texts Drawing connections: Finding Text Similarity through Feature Extraction Engineer Your Text Classifier The new era of Machine Learning and Supervised Learning Architecting a Text Classifier Constructing efficient workflows: Building Pipelines for NLP Projects Ensuring continuity: Saving and Loading Models Master the Art of Web Scraping and API Usage Stepping into the digital world: Introduction to Web Scraping and APIs The great heist: Collecting Data by Scraping Web Pages Navigating through the maze of Semi-Structured Data Unearth Hidden Themes with Topic Modeling Embark on the path of Topic Discovery Decoding algorithms: Understanding Topic-Modeling Algorithms Dialing the right numbers: Key Input Parameters for LSA Topic Modeling Tackling complexity with Hierarchical Dirichlet Process (HDP) Delving Deep into Vector Representations The Geometry of Language: Introduction to Vectors in NLP Text Manipulation: Generation and Summarization Playing the creator: Generating Text with Markov Chains Distilling knowledge: Understanding Text Summarization and Key Input Parameters for TextRank Peering into the future: Recent Developments in Text Generation and Summarization Solving real-world problems: Addressing Challenges in Extractive Summarization Riding the Wave of Sentiment Analysis Unveiling emotions: Introduction to Sentiment Analysis Tools Demystifying the Textblob library Preparing the canvas: Understanding Data for Sentiment Analysis Training your own emotion detectors: Building Sentiment Models Optional: Capstone Project Apply the skills learned throughout the course. Define the problem and gather the data. Conduct exploratory data analysis for text data. Carry out preprocessing and feature extraction. Select and train a model. ? Evaluate the model and interpret the results. Bonus Chapter: Generative AI and NLP Introduction to Generative AI and its role in NLP. Overview of Generative Pretrained Transformer (GPT) models. Using GPT models for text generation and completion. Applying GPT models for improving autocomplete features. Use cases of GPT in question answering systems and chatbots. Bonus Chapter: Advanced Applications of NLP with GPT Fine-tuning GPT models for specific NLP tasks. Using GPT for sentiment analysis and text classification. Role of GPT in Named Entity Recognition (NER). Application of GPT in developing advanced chatbots. Ethics and limitations of GPT and generative AI technologies.

Duration 1 Days 6 CPD hours This course is intended for This overview-level course is ideally suited for professionals seeking an introduction to microservices architecture and its application within a business context. Ideal attendee roles include software developers, system architects, technical managers, and IT professionals who are part of teams transitioning to a microservices approach. It's also an excellent starting point for non-technical roles such as product owners or business analysts who work closely with technical teams and want to better understand and become conversant in the language and principles of microservices. Overview This course combines engaging instructor-led presentations and useful demonstrations with engaging group activities. Throughout the course you'll explore: Understand the Basics of Microservices: Get to know the fundamental principles and characteristics of microservices and how they revolutionize traditional software development approaches. Explore the Design of Microservices: Gain an overview of how microservices are designed based on business requirements and what makes them unique in the software architecture world. Overview of Managing and Scaling Microservices: Get an introduction to how microservices are managed and scaled independently, and understand the significance of these features in your business operations. Familiarize with the Microservices Ecosystem: Learn about the typical patterns, best practices, and common pitfalls in the microservices world, setting a foundation for future learning and implementation. Introduction to Microservices in a Business Context: Acquire a basic understanding of how microservices can be aligned with specific business capabilities, and get a glimpse into how they can coexist with legacy systems in a business setting. Microservices have rapidly emerged as a popular architectural style, breaking down applications into small, independent services that can be developed, deployed, and scaled individually. Microservices offer a robust method to address a variety of projects, such as e-commerce platforms and content management systems, enhancing scalability and boosting productivity. This technology, when employed correctly, can greatly increase software delivery speed and system resilience, making it a crucial skill set for modern technology professionals.Understanding Microservices - A Technical Overview is a one-day course ideally suited for technical professionals seeking an introduction to microservices architecture and its application within a business context. Under the guidance of an industry expert, this engaging class combines lecture-style learning with lively demonstrations, case study review and group discussions.Throughout the course you?ll explore the principles and characteristics that define microservices, how to identify suitable projects for a microservices approach, the factors to consider when designing them, and the strategies to effectively manage and scale them within complex systems. You?ll also learn about the best practices, patterns, and anti-patterns, arming you with the knowledge to make the right architectural choices. This course also explores the real-world implementation of microservices in a business enterprise. We'll discuss how to align the application of microservices with your organization's specific business capabilities, and offer strategies for smoothly integrating this technology within existing legacy systems. Introduction to Microservices Understand what microservices are and their role in modern software development. Introduction to Microservices: what they are and why they matter. Monolithic vs Microservices: highlighting the shift and benefits. Key principles and characteristics of microservices. Identifying suitable applications for microservices transformation. Demo: Analyzing a sample application and identifying potential microservices Architecting and Managing Microservices Learn the basic strategies for scaling and managing microservices. Scaling Microservices: from a single service to hundreds. Key components of a microservices architecture. Introduction to resilience patterns: Circuit-Breakers and Bulkheads. Load management and provisioning in a microservices setup. Understanding the role of cloud services in microservices. Optional Demo: Illustrating how a microservice-based application scales in real-time Designing Microservices Learn the key aspects to consider when designing microservices. Defining microservice boundaries: Deciding the scope of a microservice. Communication patterns in microservices. Understanding Microservice endpoints. Exploring data stores and transaction boundaries in microservices. Overcoming challenges in Microservices design. Demo: Designing microservices for a hypothetical business requirement Implementing Microservices in a Business Enterprise Understand the process and considerations for implementing microservices in an enterprise context. Assessing enterprise readiness for microservices. Building the business case for microservices: strategic advantages and potential challenges. Aligning microservices with business capabilities. Organizational changes: Team structures and processes for microservices. Dealing with Legacy Systems: Strategies for microservices integration. Demo: Exploring a case study of successful microservices implementation in a business enterprise The Microservices Ecosystem Understand the key tools and best practices in the Microservices ecosystem. Understanding the typical Microservices Stack. Monitoring and Logging in Microservices. Introduction to Docker: Containerization of Microservices. Deployment strategies in a Microservices setup. Introduction to Orchestration in Microservices Demo: Containerizing and deploying a simple microservice Microservices Deployment Strategies Understand various ways to safely introduce changes in a microservices environment. The concept of Blue-Green Deployment: changing services without downtime. Canary Releases and Feature Toggles: slowly rolling out changes to users. Database changes in a microservices environment: keeping data consistent. Demo: Examining various deployment strategies Microservices Best Practices and DevOps Learn key strategies to ensure a smooth operation of your microservices setup. The DevOps culture in Microservices: collaboration for efficiency. Defining a Minimum Viable Product in a Microservices setup: building small, delivering fast. Dealing with data in a distributed setup: managing Data Islands. The importance of Continuous Integration/Continuous Delivery in a microservices setup. Governance: Keeping track of your services and their consumers. Demo: Visualizing a simple continuous delivery pipeline Microservices Patterns and Anti-Patterns Learn about common do's and don'ts when working with microservices. Understanding patterns that help with efficient microservices operation. Recognizing and avoiding anti-patterns that can hinder performance. Dealing with common challenges: dependencies between services, managing service boundaries. Demo: Examples of real-world patterns and anti-patterns Simple Overview of OAuth and OpenID for Microservices Introduction to OAuth and OpenID: What they are and why they matter in Microservices. The role of tokens in OAuth 2.0: How they help in securing communications. A simplified look at OpenID Connect: Linking identities across services. Demo

Duration 2 Days 12 CPD hours This course is intended for The intended audience for this comprehensive course on Information Assurance and STIGs includes professionals with roles such as: IT professionals - System administrators, network engineers, and security analysts who are responsible for maintaining and securing IT infrastructure and web applications. Developers - Software engineers and web developers who design, implement, and maintain web applications, and need to integrate security best practices throughout the development process. Project teams - Cross-functional teams that collaborate on application development projects, including members from development, testing, and deployment teams. Technical leads - Senior software engineers or architects who oversee technical aspects of projects and ensure the implementation of secure design and coding practices. Project managers - Professionals responsible for planning, executing, and closing projects, ensuring that security requirements are met throughout the project lifecycle. Overview Working in an interactive learning environment, guided by our application security expert, you'll explore: The concepts and terminology behind defensive coding Threat Modeling as a tool in identifying software vulnerabilities based on realistic threats against meaningful assets The entire spectrum of threats and attacks that take place against software applications in today's world The role that static code reviews and dynamic application testing to uncover vulnerabilities in applications The vulnerabilities of programming languages as well as how to harden installations The basics of Cryptography and Encryption and where they fit in the overall security picture The requirements and best practices for program management as specified in the STIGS The processes and measures associated with the Secure Software Development (SSD) The basics of security testing and planning Understand the concepts and terminology behind defensive coding Understand Threat Modeling as a tool in identifying software vulnerabilities based on realistic threats against meaningful assets Learn the entire spectrum of threats and attacks that take place against software applications in today's world Discuss the role that static code reviews and dynamic application testing to uncover vulnerabilities in applications Understand the vulnerabilities of programming language as well as how to harden installations Understand the basics of Cryptography and Encryption and where they fit in the overall security picture Understand the fundamentals of XML Digital Signature and XML Encryption as well as how they are used within the web services arena Understand the requirements and best practices for program management as specified in the STIGS Understand the processes and measures associated with the Secure Software Development (SSD) Understand the basics of security testing and planning The Information Assurance (STIG) Overview is a comprehensive two-day course that delves into the realm of Information Assurance, empowering you to enhance your cybersecurity skills, understand the essentials of STIGs, and discover cutting-edge web application security practices. This immersive experience is tailored for IT professionals, developers, project teams, technical leads, project managers, testing/QA personnel, and other key stakeholders who seek to expand their knowledge and expertise in the evolving cybersecurity landscape. The course focuses on the intricacies of best practices for design, implementation, and deployment, inspired by the diverse and powerful STIGs, ultimately helping participants become more proficient in application security.The first half of the course covers the foundations of DISA's Security Technical Implementation Guides (STIGs) and learn the ethical approach to bug hunting, while exploring the language of cybersecurity and dissecting real-life case studies. Our expert instrtors will guide you through the importance of respecting privacy, working with bug bounty programs, and avoiding common mistakes in the field.The next half delves into the core principles of information security and application protection, as you learn how to identify and mitigate authentication failures, SQL injections, and cryptographic vulnerabilities. You?ll gain experience with STIG walkthroughs and discover the crucial steps for securing web applications.Throughout the course, you'll also explore the fundamentals of application security and development, including checklists, common practices, and secure development lifecycle (SDL) processes. You?ll learn from recent incidents and acquire actionable strategies to strengthen your project teams and IT organizations. You'll also have the opportunity to explore asset analysis and design review methodologies to ensure your organization is prepared to face future cybersecurity challenges. DISA's Security Technical Implementation Guides (STIGs) The motivations behind STIGs Requirements that the various software development roles must meet Implementing STIG requirements and guidelines Why Hunt Bugs? The Language of CyberSecurity The Changing Cybersecurity Landscape AppSec Dissection of SolarWinds The Human Perimeter Interpreting the 2021 Verizon Data Breach Investigation Report First Axiom in Web Application Security Analysis First Axiom in Addressing ALL Security Concerns Lab: Case Study in Failure Safe and Appropriate Bug Hunting/Hacking Working Ethically Respecting Privacy Bug/Defect Notification Bug Bounty Programs Bug Hunting Mistakes to Avoid Principles of Information Security Secuity Is a Lifecycle Issue Minimize Attack Surface Area Layers of Defense: Tenacious D Compartmentalize Consider All Application States Do NOT Trust the Untrusted Identification and Authentication Failures Applicable STIGs Quality and Protection of Authentication Data Proper hashing of passwords Handling Passwords on Server Side Session Management HttpOnly and Security Headers Lab: STIG Walk-Throughs Injection Applicable STIGs Injection Flaws SQL Injection Attacks Evolve Drill Down on Stored Procedures Other Forms of Server-Side Injection Minimizing Injection Flaws Client-side Injection: XSS Persistent, Reflective, and DOM-Based XSS Best Practices for Untrusted Data Lab: STIG Walk-Throughs Applications: What Next? Common Vulnerabilities and Exposures CWE/SANS Top 25 Most Dangerous SW Errors Strength Training: Project Teams/Developers Strength Training: IT Organizations Cryptographic Failures Applicable STIGs Identifying Protection Needs Evolving Privacy Considerations Options for Protecting Data Transport/Message Level Security Weak Cryptographic Processing Keys and Key Management Threats of Quantum Computing Steal Now, Crack Later Threat Lab: STIG Walk-Throughs Application Security and Development Checklists Checklist Overview, Conventions, and Best Practices Leveraging Common AppSec Practices and Control Actionable Application Security Additional Tools for the Toolbox Strength Training: Project Teams/Developers Strength Training: IT Organizations Lab: Recent Incidents SDL Overview Attack Phases: Offensive Actions and Defensive Controls Secure Software Development Processes Shifting Left Actionable Items Moving Forward Lab: Design Study Review Asset Analysis Asset Analysis Process Types of Application-Related Assets Adding Risk Escalators Discovery and Recon Design Review Asset Inventory and Design Assets, Dataflows, and Trust Boundaries Risk Escalators in Designs Risk Mitigation Options

Duration 5 Days 30 CPD hours This course is intended for The target audience for this textbook is all Oracle professionals, both business and systems professionals. Among the specific groups for whom this textbook will be helpful are: ? Business and non-IT professionals ? Application designers and database developers ? Business Intelligence (BI) analysts and consumers ? Database administrators ? Web server administrators Overview The first portion of this textbook considers the logical models upon which a relational database is based and the various configurations and environments in which you may work with the Oracle database. The next segment focuses on the actual SQL syntax for writing database queries. You will begin with the simplest of queries and then proceed onto moderately complex query scenarios. Finally, this textbook covers the DDL, DML and transaction control portions of the SQL language that allow one to create, maintain and manipulate application database objects and application data. This textbook takes a unique approach to SQL training in that it incorporates data modeling theory, relational database theory, graphical depictions of theoretical concepts and numerous examples of actual SQL syntax into one learning vehicle. Relational Databases & Data Models About Data Models About the Relational Model The Electronics Data Model About the Relational DBMS Selection & Setup of the Database Interface Considering Available Tools Selecting the Appropriate Tool Oracle Net Database Connections Oracle PAAS Database Connections Setup SQL Developer Setup SQL*Plus Setup Jdeveloper Using the Database Interface About Bind & Substitution Variables Using SQL Developer Using SQL*Plus Introduction to the SQL Language About the SQL Language Characteristics of SQL Introducing SQL Using Select SQL Rules The Select Statement The Select Statement Distinct/Unique Keyword Using Alias Names Restricting Results with the Where Clause About Logical Operators Equality Operator Boolean Operators REGEXP_LIKE() In Operator Sorting Data with the Order By Clause About the Order by Clause Multiple Column Sorts Specify the Sort Sequence About Null Values within Sorts Using Column Aliases Pseudo Columns, Functions & Top-N Queries Rowid Pseudo Column ORA_ROWSCN PSEUDO Column ROWNUM Pseudo Column About the Built-In Functions SYSDATE User & UID SESSIONTIMEZONE Function Using the Dual Table Row Limiting & Top-N Queries FETCH First x Rows Only Clause OFFSET x Rows Clause FETCH?PERCENT Clause The WITH TIES Option Joining Tables About Joins Inner Joins Reflexive Join Non-Key Join Outer Join Using the Set Operators About the Set Operators SQL Set Operator Examples UNION Example INTERECT Example MINUS Example UNION All Summary Functions Using Sub-Queries Finding Data with Sub-Queries Standard Sub-Queries Correlated Sub-Queries The EXISTS Operator Aggregating Data within Groups About Summary Groups Find Groups within the Tables Select Data From the Base Tables Select Groups from the Results Use DDL to Create & Manage Tables Create Table Statement Column Data Types Not Null Default Describe Alter Table Statement Drop Table Statement Table DDL Using SQL Developer Alter User Statement Alter Session Statement NLS_Language NLS_Date Use DML to Manipulate Data The Insert Statement The Delete Statement The Update Statement About Transactions Transaction Rollback Transaction Commit Transaction Savepoint The Set Transaction Statement Set Transaction Read Only Statement Rules Understanding the Data Models The Company Data Model The Electronics Data Model About the SQL-99 Standard SQL-92 & SQL-99 Cross Joins Natural Joins Inner Joins Implicit Inner Join Outer Joins Anti Joins Named Sub-Queries Enhancing Groups with Rollup & Cube Using Rollup The Grouping() Function Using Cube SQL Functions: Character Handling What are the SQL Functions? String Formatting Functions UPPER(), LOWER() Example INITCAP() Example Character Codes Functions CHR((), ASCII() Examples PAD & TRIM Functions RPAD() Example RTRIM() Example TRIM() Example String Manipulation Functions DECODE () Example SUBSTR() Example INSTR() Example TRANSLATE() Example REPLACE() Example String Comparison Functions LEAST() Example Phonetic Search Function SOUNDEX() Example SQL Functions: Numeric Handling About the Numeric Data Functions GREATEST() Example ABS() Example ROUND() Example TRUNC() Example SIGN() Example TO_NUMBER() Example & Data ype Conversions NULL VALUES FUNCTIONS NVL() & NVL2() Function NVL() Example (Character) NVL() Example (Numeric Loss of Data) NVL() Example (Numeric Output) NVL2() Example COALESCE() Function NULLIF() Function SQL Functions: Date Handling Date Formatting Functions TO_CHAR() & TO_DATE() Format Patterns TO_CHAR() Examples TO_DATE() Examples EXTRACT() Example Date Arithmetic Functions MONTHS_BETWEEN() Example ADD_MONTHS() Example LAST_DAY() Example NEXT_DAY() Example TRUNC(), ROUND() Dates Example NEW_ TIME() Example About V$TIMEZONE_NAMES CAST() FUNCTION & TIME ZONES Database Objects: About Database Objects About Database Objects About Schemas Making Object References Database Objects: Relational Views About Relations Views The Create View Statement Why Use Views? Accessing Views with DML Maintaining View Definitions Alter View Drop View DDL Using SQL Developer Database Objects: Indexes About Indexes Create & Drop Index Statements Indexes & Performance Data Dictionary Storage Database Objects: Creating Other Objects About Sequences Referencing NEXTVAL Referencing CURRVAL Within the DEFAULT Clause Alter Sequence & Drop Sequence ALTER SEQUENCE DROP SEQUENCE About Identity Columns CREATE TABLE?GENERATED AS IDENTITY ALTER TABLE?GENERATED AS IDENTITY Start With Limit Value ALTER TABLE...DROP IDENTITY About Synonyms CREATE & DROP SYNONYM Statements CREATE SYNONYM DROP SYNONYM Public Vs Private Synonyms CREATE SCHEMA AUTHORIZATION Database Objects: Object Management Using DDL The RENAME Statement TABLESPACE Placement CREATE TABLE?TABLESPACE The Comment Statement The TRUNCATE TABLE Statement Database Objects: Security About Object Security Grant Object Privileges Revoke Object Privileges Object Privileges & SQL Developer Data Integrity Using Constraints About Constraints NOT NULL Constraint NOT NULL Example CHECK Constraint UNIQUE Constraint PRIMARY KEY Constraint REFERENCES Constraint ON DELETE CASCADE Example ON DELETE SET NULL Example Constraints on Existing Tables Constraints & SQL Developer Managing Constraint Definitions RENAMING & DROPPING Constraints ENABLING & DISABLING Constraints DEFERRED Constraint Enforcement SET CONSTRAINTS Handling Constraint Exceptions Constraints with Views DATA Dictionary Storage The Data Dictionary Structure More About the Data Dictionary OBJECT-SPECIFIC Dictionary Views USER_UPDATABLE_COLUMNS The Dictionary Structure METADATA & SQL Developer Additional course details: Nexus Humans Oracle 12c SQL Fundamentals 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 Oracle 12c SQL Fundamentals 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 Tableau Desktop Training course is a jumpstart to getting report writers and analysts with little or no previous knowledge to being productive. It covers everything from connecting to data, through to creating interactive dashboards with a range of visualisations in two days of your time. For Private options, online or in-person, please send us details of your requirements: This Tableau Desktop Training course is a jumpstart to getting report writers and analysts with little or no previous knowledge to being productive. It covers everything from connecting to data, through to creating interactive dashboards with a range of visualisations in two days of your time. Having a quick turnaround from starting to use Tableau, to getting real, actionable insights means that you get a swift return on your investment of time and money. This accelerated approach is key to getting engagement from within your organisation so everyone can immediately see and feel the impact of the data and insights you create. This course is aimed at someone who has not used Tableau in earnest and may be in a functional role, eg. in sales, marketing, finance, operations, business intelligence etc. The course is split into 3 phases and 9 modules: PHASE 1: GET READY MODULE 1: LAUNCH TABLEAU Check Install & Setup Why is Visual Analytics Important MODULE 2: GET FAMILIAR What is possible How does Tableau deal with data Know your way around How do we format charts Dashboard Basics – My First Dashboard MODULE 3: DATA DISCOVERY Connecting to and setting up data in Tableau How Do I Explore my Data – Filters & Sorting How Do I Structure my Data – Groups & Hierarchies, Visual Groups How Tableau Deals with Dates – Using Discrete and Continuous Dates, Custom Dates Phase 2: GET SET MODULE 4: MAKE CALCULATIONS How Do I Create Calculated Fields & Why MODULE 5: MAKE CHARTS Charts that Compare Multiple Measures – Measure Names and Measure Values, Shared Axis Charts, Dual Axis Charts, Scatter Plots Showing Relational & Proportional Data – Pie Charts, Donut Charts, Tree Maps MODULE 6: MAKE TABLES Creating Tables – Creating Tables, Highlight Tables, Heat Maps Phase 3: GO MODULE 7: ADD CONTEXT Reference Lines and Bands MODULE 8: MAKE MAPS Answering Spatial Questions – Mapping, Creating a Choropleth (Filled) Map MODULE 9: MAKE DASHBOARDS Using the Dashboard Interface Dashboard Actions This training course includes over 25 hands-on exercises and quizzes to help participants “learn by doing” and to assist group discussions around real-life use cases. Each attendee receives a login to our extensive training portal which covers the theory, practical applications and use cases, exercises, solutions and quizzes in both written and video format. Students must use their own laptop with an active version of Tableau Desktop 2018.2 (or later) pre-installed. What People Are Saying About This Course “Excellent Trainer – knows his stuff, has done it all in the real world, not just the class room.”Richard L., Intelliflo “Tableau is a complicated and powerful tool. After taking this course, I am confident in what I can do, and how it can help improve my work.”Trevor B., Morrison Utility Services “I would highly recommend this course for Tableau beginners, really easy to follow and keep up with as you are hands on during the course. Trainer really helpful too.”Chelsey H., QVC “He is a natural trainer, patient and very good at explaining in simple terms. He has an excellent knowledge base of the system and an obvious enthusiasm for Tableau, data analysis and the best way to convey results. We had been having difficulties in the business in building financial reports from a data cube and he had solutions for these which have proved to be very useful.”Matthew H., ISS Group

This course is aimed at those who analyse and identify asbestos from within samples collected on site

No-one in business will succeed if they are not financially literate - and no business will succeed without financially-literate people. This is the ideal programme for managers and others who don't have a financial qualification or background but who nonetheless need a greater understanding of the financial management disciplines essential to your organisation. This course will give the participants a sound understanding of financial reports, measures and techniques to make them even more effective in their roles. It will enable participants to: Overcome the barrier of the accountants' strange language Deal confidently with financial colleagues Improve their understanding of your organisation's finance function Radically improve their planning and budgeting skills Be much more aware of the impact of their decisions on the profitability of your organisation Enhance their role in the organisation Boost their confidence and career development 1 Review of the principal financial statements What each statement containsOutlineDetail Not just what the statements contain but what they mean Balance sheets and P&L accounts (income statements) Cash flow statements Detailed terminology and interpretation Types of fixed asset - tangible, etc. Working capital, equity, gearing 2 The 'rules' - Accounting Standards, concepts and conventions Fundamental or 'bedrock' accounting concepts Detailed accounting concepts and conventions What depreciation means The importance of stock, inventory and work in progress values Accounting policies that most affect reporting and results The importance of accounting standards and IFRS 3 Where the figures come from Accounting records Assets / liabilities, Income / expenditure General / nominal ledgers Need for internal controls 'Sarbox' and related issues 4 Managing the budget process Have clear objectives, remit, responsibilities and time schedule The business plan Links with corporate strategy The budget cycle Links with company culture Budgeting methods'New' budgetingZero-based budgets Reviewing budgets Responding to the figures The need for appropriate accounting and reporting systems 5 What are costs? How to account for them Cost definitions Full / absorption costing Overheads - overhead allocation or absorption Activity based costing Marginal costing / break-even - use in planning 6 Who does what? A review of what different types of accountant do Financial accounting Management accounting Treasury function Activities and terms 7 How the statements can be interpreted What published accounts contain Analytical review (ratio analysis) Return on capital employed, margins and profitability Making assets work - asset turnover Fixed assets, debtor, stock turnover Responding to figures EBIT, EBITEDIA, eps and other analysts' measure 8 Other key issues Creative accounting Accounting for groups Intangible assets - brand names Company valuations Fixed assets / leased assets / off-balance sheet finance

The main subject areas of the course are: Good practice in asbestos removal or remediation Asbestos Removal Control Plans Air sampling for asbestos Enclosures, clearance air monitoring and reporting

The main subject areas of the course are: Good practice in asbestos removal or remediation Asbestos Removal Control Plans Air sampling for asbestos Enclosures, clearance air monitoring and reporting

Duration 3 Days 18 CPD hours This course is intended for This course is designed for operators and schedulers who perform duties that are related to batch workload automation. Overview In this course, you learn how to perform the following tasks:Explain the production terminology used with IBM Workload Scheduler and its production planning processMonitor production batch workload processesManage production batch workloadCreate and modify scheduling objectsSchedule new workloadsForecast future workloadsMigrate workload definitions from test to production environmentsCreate and maintain reports about production workloads This course provides professional report authors an opportunity to learn report building techniques using relational data models. Demonstrations and exercises will illustrate and reinforce key concepts during this learning opportunity. IBM Workload Scheduler Introduction About Workload Automation IBM workload automation offerings IBM Workload Scheduler terminology Workload Scheduler user interfaces Getting started with Application Lab Getting started with the Dynamic Workload Console Connecting the console to Workload Scheduler Getting started with the command-line interfaces Using the Application Lab Interface Using the processes status overview page Managing processes Using other Application Lab functions Monitoring Workload Scheduler Production Monitoring Workload Scheduler production by using queries Using the Workload Dashboard Monitoring system status and health Monitoring plan objects Using the What-if Analysis interface Monitoring the plan graphically Managing Workload Scheduler Production Managing the scheduling environment Managing scheduling objects in the plan Creating Scheduling Objects Using the Workload Designer Creating scheduling objects Creating variables and variable tables Creating prompts and resources Creating calendars Defining jobs Scheduling, Forecasting, and Migrating Workloads Creating job streams Applying jobs to job streams Setting time and date restrictions Using advanced scheduling options Creating job stream definitions by using composer Creating and using event rules Forecasting and previewing future dates Exporting and importing scheduling definitions Using Workload Application Templates Reporting with Workload Scheduler Using reporting features Using Common Reporting with Workload Scheduler Using the batch reporting utility Using the preformatted text-based report utilities