19370 Courses delivered Online

Train to become a Driving Instructor with Driving Skills Academy and earn up to £40,000 + per annum after meeting all your business and car expenses. If you want to be your own boss and are looking for a well-paid job that you can fit in and around your lifestyle then becoming a driving instructor could be the ideal full time or part time career.

This accredited qualification has been designed for delivery to all learners working or preparing to work in a customer service role or where using the telephone is a part of their role. This qualification covers the principles of customer service, including how to meet customer expectations, the importance of appropriate behaviour and communication techniques, as well as ways to deal with problem customers. How long will it take me to achieve this qualification? This qualification is classroom-based and usually achieved by taking a one-day course. However, it can also be achieved through a variety of other methods including blended and distance learning, as long as the recommended learning hours are completed. How is the qualification assessed? Through a 1-hour 30-question multiple-choice examination. Learners must achieve a score of at least 20 out of 30 in order to pass.

This accredited qualification is ideal for anyone who requires training in conflict management. It is appropriate for a wide range of sectors and is suitable for anyone who has a customer facing role, dealing with service users or the public. It is also a useful qualification for individuals who would like a better understanding of how to prevent conflict situations from arising and feel more confident in being able to deal with situations if they arise. Subjects covered include the role of communication and the assessment of risks in conflict situations and follow up practices after such events. How long will it take me to achieve this qualification? This qualification is usually achieved by taking a 2 day course. How is the qualification assessed? The qualification is assessed through a 1 hour, 30-question, multiple-choice question examination. Candidates must achieve a score of at least 20 out of 30 in order to pass.

Have you ever felt that you are living life on autopilot? Going through the motions and being buffeted by life’s storms? If so, during this workshop, you will discover how to disengage your autopilot, to understand why we do what we do, gain clarity and a new perspective on what is happening in your life, plus explore the wonderful opportunities for positive change using NLP in order to take back the controls of your life.

As a member of The RESULTS Mastery University, you are invited to attend a weekly Q&A with me, Steve Mills. During the Q&A I will be happy to answer questions on sales, marketing and business growth. For example, you might want to ask questions like: 1. How do I get more people to my website? 2. What do I need to do with my LinkedIn marketing? 3. How can I convert more leads into sales? Event CostFree Start TimeJanuary 22, 2024 @ 10:00 am End TimeJanuary 22, 2024 @ 11:00 am WebsiteView Organiser Website Phone07977 074 497 Emailsteve@results-mastery.com OrganizerSteve Mills

In this week’s RESULTS Mastery Live, we are going to discuss how to use email marketing to increase sales.

Classes from A1 to C2 level of the CEFR (Common European Framework of Reference for Languages). A1 - A2 Beginners Let’s start learning French! With this course you will learn the basic elements and key phrases of the French language from the very beginning. You might know a few words and expressions already, but what about making your visit more authentic by interacting with people once you are there? The exercises and activities in this course will build your confidence with useful expressions, pronunciation, grammar practice, verb drills (present tense of most common verbs) and speaking/listening activities, games and quizzes will be included along the way. The syllabus: French language sounds are unique, so you need to know how to pronounce each sound correctly. This course will aim not only at building your confidence when speaking French but also to sound French! Greetings, formal and informal address; how to introduce yourself/ introduce others, ask for something in cafés and restaurants, giving/exchange details, understanding numbers and prices, talking about jobs and family, where you live; asking and understanding directions and other basic vocabulary when going around shopping; you will also learn some cultural traits and fun facts about French people. B1 - B2 Intermediate Now that you know some French, why not improve your language skills further?The intermediate course is structured around grammar activities (such as prepositions, combined articles and pronouns), verb drills (past tenses, progressive forms, future tense), comprehension activities, short stories, common idiomatic expressions, games and quizzes. The syllabus: describing people, booking hotels, booking accommodation online and via emails, more about numbers, describing places, expressing admiration, enquiring about services such as public transport; talking about homes, finding a house; expressing likes and dislikes, shopping (markets), buying shoes and clothes, expressing preferences, writing invitations, giving your opinion, making suggestions, buying tickets, understanding directions, describing situations in the past; making plans for the future. C1 - C2 Advanced The advanced course is designed for students who already know French but want to take their knowledge further in order to hone their skills in all aspects of the language learning. With the advanced course, the student will have the opportunity to learn the grammar and vocabulary acquired with the intermediate course, but more in depth with more listening and practical activities and role play. The focus of this course is to prepare the student to live in a French speaking country. The teaching approach will also include a variety of newspapers articles (short at the beginning and longer articles as the student progresses further). The articles are used as conversation topics in order to hone vocabulary and grammar skills. Short videos from trusted resources will also be used for speaking practice during the class to boost fluency and to learn new common expressions. This course may include writing tasks about specific topics which the student will discuss during the class with the teacher. The syllabus: Includes talking about saying what you have done recently using a variety of verbs and expressions, referring to events in the past using the imperfect tense and the past tense, understanding the weather forecast, making suggestions, understanding and giving instructions, comparing things, giving reasons, solving problems, discussing preferences, asking for and giving advice, talking about holidays, making plans for the future. French school support tuition. We provide help to students who need support with homework in order to pass their exams. Ad hoc extra activities and grammar notes can be provided to revise and consolidate the notions acquired at school. Help with short essay writing and proof reading also available. Online French classes: The online classes are delivered via Skype and classes can be for individuals and for small groups. We can prepare you for DELF B1 (Diplôme d’études en langue Française).

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.

Duration 5 Days 30 CPD hours This course is intended for Security administrators Security consultants Network administrators System engineers Technical support personnel Cisco integrators and partners Overview After taking this course, you should be able to: Describe key concepts of NGIPS and NGFW technology and the Cisco Firepower Threat Defense system, and identify deployment scenarios Perform initial Cisco Firepower Threat Defense device configuration and setup tasks Describe how to manage traffic and implement Quality of Service (QoS) using Cisco Firepower Threat Defense Describe how to implement NAT by using Cisco Firepower Threat Defense Perform an initial network discovery, using Cisco Firepower to identify hosts, applications, and services Describe the behavior, usage, and implementation procedure for access control policies Describe the concepts and procedures for implementing security intelligence features This course gives you knowledge and skills to use and configure Cisco© Firepower Threat Defense technology, beginning with initial device setup and configuration and including routing, high availability, Cisco Adaptive Security Appliance (ASA) to Cisco Firepower Threat Defense migration, traffic control, and Network Address Translation (NAT). You will learn how to implement advanced Next-Generation Firewall (NGFW) and Next-Generation Intrusion Prevention System (NGIPS) features, including network intelligence, file type detection, network-based malware detection, and deep packet inspection. You will also learn how to configure site-to-site VPN, remote-access VPN, and Secure Sockets Layer (SSL) decryption before moving on to detailed analysis, system administration, and troubleshooting. Cisco Firepower Threat Defense Overview Examining Firewall and IPS Technology Firepower Threat Defense Features and Components Examining Firepower Platforms Examining Firepower Threat Defense Licensing Cisco Firepower Implementation Use Cases Cisco Firepower NGFW Device Configuration Firepower Threat Defense Device Registration FXOS and Firepower Device Manager Initial Device Setup Managing NGFW Devices Examining Firepower Management Center Policies Examining Objects Examining System Configuration and Health Monitoring Device Management Examining Firepower High Availability Configuring High Availability Cisco ASA to Firepower Migration Migrating from Cisco ASA to Firepower Threat Defense Cisco Firepower NGFW Traffic Control Firepower Threat Defense Packet Processing Implementing QoS Bypassing Traffic Cisco Firepower NGFW Address Translation NAT Basics Implementing NAT NAT Rule Examples Implementing NAT Cisco Firepower Discovery Examining Network Discovery Configuring Network Discovery Implementing Access Control Policies Examining Access Control Policies Examining Access Control Policy Rules and Default Action Implementing Further Inspection Examining Connection Events Access Control Policy Advanced Settings Access Control Policy Considerations Implementing an Access Control Policy Security Intelligence Examining Security Intelligence Examining Security Intelligence Objects Security Intelligence Deployment and Logging Implementing Security Intelligence File Control and Advanced Malware Protection Examining Malware and File Policy Examining Advanced Malware Protection Next-Generation Intrusion Prevention Systems Examining Intrusion Prevention and Snort Rules Examining Variables and Variable Sets Examining Intrusion Policies Site-to-Site VPN Examining IPsec Site-to-Site VPN Configuration Site-to-Site VPN Troubleshooting Implementing Site-to-Site VPN Remote-Access VPN Examining Remote-Access VPN Examining Public-Key Cryptography and Certificates Examining Certificate Enrollment Remote-Access VPN Configuration Implementing Remote-Access VPN SSL Decryption Examining SSL Decryption Configuring SSL Policies SSL Decryption Best Practices and Monitoring Detailed Analysis Techniques Examining Event Analysis Examining Event Types Examining Contextual Data Examining Analysis Tools Threat Analysis System Administration Managing Updates Examining User Account Management Features Configuring User Accounts System Administration Cisco Firepower Troubleshooting Examining Common Misconfigurations Examining Troubleshooting Commands Firepower Troubleshooting

Duration 2 Days 12 CPD hours This course is intended for Business Analysts, Technical Managers, and Programmers Overview This intensive training course helps students learn the practical aspects of the R programming language. The course is supplemented by many hands-on labs which allow attendees to immediately apply their theoretical knowledge in practice. Over the past few years, R has been steadily gaining popularity with business analysts, statisticians and data scientists as a tool of choice for conducting statistical analysis of data as well as supervised and unsupervised machine learning. What is R ? What is R? ? Positioning of R in the Data Science Space ? The Legal Aspects ? Microsoft R Open ? R Integrated Development Environments ? Running R ? Running RStudio ? Getting Help ? General Notes on R Commands and Statements ? Assignment Operators ? R Core Data Structures ? Assignment Example ? R Objects and Workspace ? Printing Objects ? Arithmetic Operators ? Logical Operators ? System Date and Time ? Operations ? User-defined Functions ? Control Statements ? Conditional Execution ? Repetitive Execution ? Repetitive execution ? Built-in Functions ? Summary Introduction to Functional Programming with R ? What is Functional Programming (FP)? ? Terminology: Higher-Order Functions ? A Short List of Languages that Support FP ? Functional Programming in R ? Vector and Matrix Arithmetic ? Vector Arithmetic Example ? More Examples of FP in R ? Summary Managing Your Environment ? Getting and Setting the Working Directory ? Getting the List of Files in a Directory ? The R Home Directory ? Executing External R commands ? Loading External Scripts in RStudio ? Listing Objects in Workspace ? Removing Objects in Workspace ? Saving Your Workspace in R ? Saving Your Workspace in RStudio ? Saving Your Workspace in R GUI ? Loading Your Workspace ? Diverting Output to a File ? Batch (Unattended) Processing ? Controlling Global Options ? Summary R Type System and Structures ? The R Data Types ? System Date and Time ? Formatting Date and Time ? Using the mode() Function ? R Data Structures ? What is the Type of My Data Structure? ? Creating Vectors ? Logical Vectors ? Character Vectors ? Factorization ? Multi-Mode Vectors ? The Length of the Vector ? Getting Vector Elements ? Lists ? A List with Element Names ? Extracting List Elements ? Adding to a List ? Matrix Data Structure ? Creating Matrices ? Creating Matrices with cbind() and rbind() ? Working with Data Frames ? Matrices vs Data Frames ? A Data Frame Sample ? Creating a Data Frame ? Accessing Data Cells ? Getting Info About a Data Frame ? Selecting Columns in Data Frames ? Selecting Rows in Data Frames ? Getting a Subset of a Data Frame ? Sorting (ordering) Data in Data Frames by Attribute(s) ? Editing Data Frames ? The str() Function ? Type Conversion (Coercion) ? The summary() Function ? Checking an Object's Type ? Summary Extending R ? The Base R Packages ? Loading Packages ? What is the Difference between Package and Library? ? Extending R ? The CRAN Web Site ? Extending R in R GUI ? Extending R in RStudio ? Installing and Removing Packages from Command-Line ? Summary Read-Write and Import-Export Operations in R ? Reading Data from a File into a Vector ? Example of Reading Data from a File into A Vector ? Writing Data to a File ? Example of Writing Data to a File ? Reading Data into A Data Frame ? Writing CSV Files ? Importing Data into R ? Exporting Data from R ? Summary Statistical Computing Features in R ? Statistical Computing Features ? Descriptive Statistics ? Basic Statistical Functions ? Examples of Using Basic Statistical Functions ? Non-uniformity of a Probability Distribution ? Writing Your Own skew and kurtosis Functions ? Generating Normally Distributed Random Numbers ? Generating Uniformly Distributed Random Numbers ? Using the summary() Function ? Math Functions Used in Data Analysis ? Examples of Using Math Functions ? Correlations ? Correlation Example ? Testing Correlation Coefficient for Significance ? The cor.test() Function ? The cor.test() Example ? Regression Analysis ? Types of Regression ? Simple Linear Regression Model ? Least-Squares Method (LSM) ? LSM Assumptions ? Fitting Linear Regression Models in R ? Example of Using lm() ? Confidence Intervals for Model Parameters ? Example of Using lm() with a Data Frame ? Regression Models in Excel ? Multiple Regression Analysis ? Summary Data Manipulation and Transformation in R ? Applying Functions to Matrices and Data Frames ? The apply() Function ? Using apply() ? Using apply() with a User-Defined Function ? apply() Variants ? Using tapply() ? Adding a Column to a Data Frame ? Dropping A Column in a Data Frame ? The attach() and detach() Functions ? Sampling ? Using sample() for Generating Labels ? Set Operations ? Example of Using Set Operations ? The dplyr Package ? Object Masking (Shadowing) Considerations ? Getting More Information on dplyr in RStudio ? The search() or searchpaths() Functions ? Handling Large Data Sets in R with the data.table Package ? The fread() and fwrite() functions from the data.table Package ? Using the Data Table Structure ? Summary Data Visualization in R ? Data Visualization ? Data Visualization in R ? The ggplot2 Data Visualization Package ? Creating Bar Plots in R ? Creating Horizontal Bar Plots ? Using barplot() with Matrices ? Using barplot() with Matrices Example ? Customizing Plots ? Histograms in R ? Building Histograms with hist() ? Example of using hist() ? Pie Charts in R ? Examples of using pie() ? Generic X-Y Plotting ? Examples of the plot() function ? Dot Plots in R ? Saving Your Work ? Supported Export Options ? Plots in RStudio ? Saving a Plot as an Image ? Summary Using R Efficiently ? Object Memory Allocation Considerations ? Garbage Collection ? Finding Out About Loaded Packages ? Using the conflicts() Function ? Getting Information About the Object Source Package with the pryr Package ? Using the where() Function from the pryr Package ? Timing Your Code ? Timing Your Code with system.time() ? Timing Your Code with System.time() ? Sleeping a Program ? Handling Large Data Sets in R with the data.table Package ? Passing System-Level Parameters to R ? Summary Lab Exercises Lab 1 - Getting Started with R Lab 2 - Learning the R Type System and Structures Lab 3 - Read and Write Operations in R Lab 4 - Data Import and Export in R Lab 5 - k-Nearest Neighbors Algorithm Lab 6 - Creating Your Own Statistical Functions Lab 7 - Simple Linear Regression Lab 8 - Monte-Carlo Simulation (Method) Lab 9 - Data Processing with R Lab 10 - Using R Graphics Package Lab 11 - Using R Efficiently