6231 Object courses in Liverpool delivered Online

Overview This comprehensive course on Complete Microsoft Access Course will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Complete Microsoft Access Course comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast-track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this Complete Microsoft Access Course. It is available to all students, of all academic backgrounds. Requirements Our Complete Microsoft Access Course is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 3 sections • 58 lectures • 08:04:00 total length •Orientation to Microsoft Access: 00:39:00 •Create a Simple Access Database: 00:10:00 •Get Help and Configure Options in Microsoft Access: 00:06:00 •Modify Table Data: 00:17:00 •Sort and Filter Records: 00:05:00 •Create Basic Queries: 00:15:00 •Sort and Filter Data in a Query: 00:14:00 •Perform Calculations in a Query: 00:08:00 •Create Basic Access Forms: 00:07:00 •Work with Data on Access Forms: 00:23:00 •Create a Report: 00:12:00 •Add Controls to a Report: 00:12:00 •Enhance the Appearance of a Report: 00:05:00 •Prepare a Report for Print: 00:03:00 •Organize Report Information: 00:15:00 •Format Reports: 00:12:00 •Relational Database Design: 00:16:00 •Create a Table: 00:09:00 •Create Table Relationships: 00:09:00 •Create Query Joins: 00:14:00 •Relate Data Within a Table.avi: 00:04:00 •Work with Subdatasheets from: 00:05:00 •Use Field Validation: 00:16:00 •Use Form and Record Validation: 00:14:00 •Create Parameter Queries: 00:12:00 •Summarize Data: 00:06:00 •Create Subqueries: 00:07:00 •Create Action Queries: 00:05:00 •Create Unmatched and Duplicate Queries: 00:06:00 •Data Normalization: 00:10:00 •Create a Junction Table: 00:04:00 •Improve Table Structure: 00:06:00 •Include Control Formatting in a Report: 00:04:00 •Add a Calculated Field to a Report: 00:05:00 •Add a Subreport to an Existing Report: 00:07:00 •Add Controls to Forms: 00:11:00 •Enhance Navigation and Organization of Forms: 00:14:00 •Apply Conditional Formatting: 00:04:00 •Import Data into Access: 00:08:00 •Export Access Data: 00:06:00 •Link Tables to External Data Sources: 00:05:00 •Create a Mail Merge: 00:02:00 •Create a Macro: 00:08:00 •Restrict Records by Using a Condition: 00:04:00 •Validate Data by Using a Macro: 00:05:00 •Automate Data Entry by Using a Macro: 00:04:00 •Manage a Database: 00:08:00 •Determine Object Dependency: 00:04:00 •Manage a Database: 00:07:00 •Determine Object Dependency: 00:04:00 •Document a Database: 00:04:00 •Splitting a Database for Multiple User Access: 00:05:00 •Implement Security: 00:03:00 •Convert an Access Database to an ACCDE File: 00:04:00 •Package a Database with a Digital Signature: 00:01:00 •Create a Database Switchboard: 00:05:00 •Modify a Database Switchboard: 00:02:00 •Set Start up Options: 00:04:00

Duration 4 Days 24 CPD hours This course is intended for This course is designed for technical professionals who require the skills to administer IBM© MQ queue managers on distributed operating systems, in the Cloud, or on the IBM© MQ Appliance. Overview After completing this course, you should be able to:Describe the IBM© MQ deployment optionsPlan for the implementation of IBM© MQ on-premises or in the CloudUse IBM© MQ commands and the IBM© MQ Explorer to create and manage queue managers, queues, and channelsUse the IBM© MQ sample programs and utilities to test the IBM© MQ networkEnable a queue manager to exchange messages with another queue managerConfigure client connections to a queue managerUse a trigger message and a trigger monitor to start an application to process messagesImplement basic queue manager restart and recovery proceduresUse IBM© MQ troubleshooting tools to identify the cause of a problem in the IBM© MQ networkPlan for and implement basic IBM© MQ security featuresUse accounting and statistics messages to monitor the activities of an IBM© MQ systemDefine and administer a simple queue manager cluster This course provides technical professionals with the skills that are needed to administer IBM© MQ queue managers on distributed operating systems and in the Cloud. In addition to the instructor-led lectures, you participate in hands-on lab exercises that are designed to reinforce lecture content. The lab exercises use IBM© MQ V9.0, giving you practical experience with tasks such as handling queue recovery, implementing security, and problem determination. Note: This course does not cover any of the features of MQ for z/OS or MQ for IBM© i. Course introductionIBM© MQ reviewIBM© MQ installation and deployment optionsCreating a queue manager and queuesExercise: Using commands to create a queue manager and queuesIntroduction to IBM© MQ ExplorerExercise: Using IBM© MQ Explorer to create queue managers and queuesTesting the IBM© MQ implementationExercise: Using IBM© MQ sample programs to test the configurationImplementing distributed queuingExercise: Connecting queue managersIBM© MQ clientsExercise: Connecting an IBM© MQ clientImplementing trigger messages and monitorsExercise: Implementing a trigger monitorDiagnosing problemsExercise: Running an IBM© MQ traceImplementing basic security in IBM© MQExercise: Controlling access to IBM© MQBacking up and restoring IBM© MQ messages and object definitionsExercise: Using a media image to restore a queueExercise: Backing up and restoring IBM© MQ object definitionsIntroduction to queue manager clustersExercise: Implementing a basic clusterMonitoring and configuring IBM© MQ for performanceExercise: Monitoring IBM© MQ for performanceCourse summary

Adobe InDesign is the industry-leading DTP software for designing and layout of professional documents for the web, print, as well as for mobile devices such as tablets or smartphones. If you are one of them who are interested in digital publishing then this Adobe InDesign CC Introduction will be the perfect starting point for you! You will learn the fundamentals of InDesign as we guide you through this comprehensive introduction to the leading desktop-publishing program. You will learn how to create and export attractive, simple documents. The course will teach you how to combine text and graphics to produce output that is ready to use straight away. You will learn to add consistency through the use of paragraph and character styles. You will grasp how quick and easy it is to create documents for the web and for print, including how to produce professional PDF files. In addition, you will learn to manage objects and layers, format text, use styles, work with tables, export documents, and prepare for printing. What Will I Learn? Build a basic InDesign document Customize the workspace Modify the layout Manage pages Modify text Modify graphics Work with color Use effects Add and transform shapes Manage objects and layers Format text Use styles Work with tables Export a document to other formats Requirements Basic computer skills Who is the target audience? Any student wishing to get a solid understand of the basics of Adobe InDesign CC. Introduction Introduction 00:01:00 Building a Basic InDesign Document Overview of InDesign 00:03:00 Touring the InDesign Interface 00:10:00 Customizing Preferences 00:09:00 Building a document 00:09:00 Advanced Document Settings 00:09:00 Adding Graphics 00:06:00 Adding Text 00:03:00 Customizing the Workspace Using Panels and Workspace Presets 00:10:00 Document Views 00:08:00 Understanding the Control Panel 00:04:00 Managing Pages Adding, Moving, and Deleting Pages 00:06:00 Using Master Pages 00:10:00 Modifying Text Selecting Text 00:03:00 Understanding Text Frame Options 00:09:00 Importing Text 00:06:00 Threading Text 00:05:00 Using Special Characters 00:10:00 Using Spell Check 00:07:00 Using the Story Editor 00:04:00 Modifying Graphics Defining Graphic Types 00:07:00 Placing Multiple Graphics 00:04:00 Selecting Graphics 00:05:00 Fitting Options 00:07:00 Updating Graphics 00:07:00 Placing Photoshop and Illustrator Files 00:05:00 Working with Color Basics of Color 00:06:00 Working with Swatches 00:08:00 Creating Swatches 00:08:00 Making Spot Color Swatches 00:03:00 Working with the Color Panel 00:05:00 Creating and Using Gradients 00:08:00 Using Effects Using the Effects Panel 00:08:00 Using the Blend Modes 00:04:00 Adding and Removing Effects 00:03:00 Adding and Transforming Shapes Adding Vector Shapes 00:08:00 Drawing Vector Lines 00:08:00 Selecting and Moving Frames 00:07:00 Scaling Arrowheads 00:05:00 Managing Objects and Layers Managing Layers 00:10:00 Aligning and Grouping Objects 00:06:00 Wrapping Text around an Object 00:07:00 Formatting Text Character Formatting 00:11:00 Advanced Character Formatting 00:10:00 Paragraph Formatting 00:10:00 Using Styles Basics of Styles 00:01:00 Managing Paragraph Styles 00:10:00 Managing Character Styles 00:05:00 Using Object Styles 00:08:00 Working with Tables Creating Tables 00:10:00 Formatting Tables and Cells 00:08:00 Using Table and Cell Styles 00:08:00 Exporting the Document to Other Formats Preflighting your document 00:09:00 Packaging your Document 00:10:00 Printing your Document 00:09:00 Converting to PDF 00:06:00 Conclusion Course Recap 00:01:00

Learn how JSON works and how you can use JSON data via JavaScript in your web applications and web site

This course is designed to help you master the concepts of JavaScript needed to create interactive web games. You will create five interesting word games that will teach you how to write and test the game code in JavaScript.

In this course, you will learn the fundamentals of data visualization in Python using the well-known Matplotlib and Seaborn data science libraries and perform exploratory data analysis (EDA) by visualizing a data set using a variety of charts.

InDesign face to face training customised and bespoke.

During this live-online masterclass we will focus on understanding recent developments in the mental health and wellbeing of children in the UK, including looking at the impact of cultural and technological changes over recent years and the impact this is having in schools.

Building a parser is one of the early steps of designing a compiler. And to build a parser, it is important to learn about the different parsing techniques and how they work. In this course, we are going to learn just that.

Overview This comprehensive course on Python for Data Analysis will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Python for Data Analysis comes with accredited certification, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is this course for? There is no experience or previous qualifications required for enrolment on this Python for Data Analysis. It is available to all students, of all academic backgrounds. Requirements Our Python for Data Analysis is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career path Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 19 sections • 99 lectures • 00:08:00 total length •Welcome & Course Overview: 00:07:00 •Set-up the Environment for the Course (lecture 1): 00:09:00 •Set-up the Environment for the Course (lecture 2): 00:25:00 •Two other options to setup environment: 00:04:00 •Python data types Part 1: 00:21:00 •Python Data Types Part 2: 00:15:00 •Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 1): 00:16:00 •Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 2): 00:20:00 •Python Essentials Exercises Overview: 00:02:00 •Python Essentials Exercises Solutions: 00:22:00 •What is Numpy? A brief introduction and installation instructions.: 00:03:00 •NumPy Essentials - NumPy arrays, built-in methods, array methods and attributes.: 00:28:00 •NumPy Essentials - Indexing, slicing, broadcasting & boolean masking: 00:26:00 •NumPy Essentials - Arithmetic Operations & Universal Functions: 00:07:00 •NumPy Essentials Exercises Overview: 00:02:00 •NumPy Essentials Exercises Solutions: 00:25:00 •What is pandas? A brief introduction and installation instructions.: 00:02:00 •Pandas Introduction: 00:02:00 •Pandas Essentials - Pandas Data Structures - Series: 00:20:00 •Pandas Essentials - Pandas Data Structures - DataFrame: 00:30:00 •Pandas Essentials - Handling Missing Data: 00:12:00 •Pandas Essentials - Data Wrangling - Combining, merging, joining: 00:20:00 •Pandas Essentials - Groupby: 00:10:00 •Pandas Essentials - Useful Methods and Operations: 00:26:00 •Pandas Essentials - Project 1 (Overview) Customer Purchases Data: 00:08:00 •Pandas Essentials - Project 1 (Solutions) Customer Purchases Data: 00:31:00 •Pandas Essentials - Project 2 (Overview) Chicago Payroll Data: 00:04:00 •Pandas Essentials - Project 2 (Solutions Part 1) Chicago Payroll Data: 00:18:00 •Matplotlib Essentials (Part 1) - Basic Plotting & Object Oriented Approach: 00:13:00 •Matplotlib Essentials (Part 2) - Basic Plotting & Object Oriented Approach: 00:22:00 •Matplotlib Essentials (Part 3) - Basic Plotting & Object Oriented Approach: 00:22:00 •Matplotlib Essentials - Exercises Overview: 00:06:00 •Matplotlib Essentials - Exercises Solutions: 00:21:00 •Seaborn - Introduction & Installation: 00:04:00 •Seaborn - Distribution Plots: 00:25:00 •Seaborn - Categorical Plots (Part 1): 00:21:00 •Seaborn - Categorical Plots (Part 2): 00:16:00 •Seborn-Axis Grids: 00:25:00 •Seaborn - Matrix Plots: 00:13:00 •Seaborn - Regression Plots: 00:11:00 •Seaborn - Controlling Figure Aesthetics: 00:10:00 •Seaborn - Exercises Overview: 00:04:00 •Seaborn - Exercise Solutions: 00:19:00 •Pandas Built-in Data Visualization: 00:34:00 •Pandas Data Visualization Exercises Overview: 00:03:00 •Panda Data Visualization Exercises Solutions: 00:13:00 •Plotly & Cufflinks - Interactive & Geographical Plotting (Part 1): 00:19:00 •Plotly & Cufflinks - Interactive & Geographical Plotting (Part 2): 00:14:00 •Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Overview): 00:11:00 •Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Solutions): 00:37:00 •Project 1 - Oil vs Banks Stock Price during recession (Overview): 00:15:00 •Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 1): 00:18:00 •Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 2): 00:18:00 •Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 3): 00:17:00 •Project 2 (Optional) - Emergency Calls from Montgomery County, PA (Overview): 00:03:00 •Introduction to ML - What, Why and Types..: 00:15:00 •Theory Lecture on Linear Regression Model, No Free Lunch, Bias Variance Tradeoff: 00:15:00 •scikit-learn - Linear Regression Model - Hands-on (Part 1): 00:17:00 •scikit-learn - Linear Regression Model Hands-on (Part 2): 00:19:00 •Good to know! How to save and load your trained Machine Learning Model!: 00:01:00 •scikit-learn - Linear Regression Model (Insurance Data Project Overview): 00:08:00 •scikit-learn - Linear Regression Model (Insurance Data Project Solutions): 00:30:00 •Theory: Logistic Regression, conf. mat., TP, TN, Accuracy, Specificityetc.: 00:10:00 •scikit-learn - Logistic Regression Model - Hands-on (Part 1): 00:17:00 •scikit-learn - Logistic Regression Model - Hands-on (Part 2): 00:20:00 •scikit-learn - Logistic Regression Model - Hands-on (Part 3): 00:11:00 •scikit-learn - Logistic Regression Model - Hands-on (Project Overview): 00:05:00 •scikit-learn - Logistic Regression Model - Hands-on (Project Solutions): 00:15:00 •Theory: K Nearest Neighbors, Curse of dimensionality .: 00:08:00 •scikit-learn - K Nearest Neighbors - Hands-on: 00:25:00 •scikt-learn - K Nearest Neighbors (Project Overview): 00:04:00 •scikit-learn - K Nearest Neighbors (Project Solutions): 00:14:00 •Theory: D-Tree & Random Forests, splitting, Entropy, IG, Bootstrap, Bagging.: 00:18:00 •scikit-learn - Decision Tree and Random Forests - Hands-on (Part 1): 00:19:00 •scikit-learn - Decision Tree and Random Forests (Project Overview): 00:05:00 •scikit-learn - Decision Tree and Random Forests (Project Solutions): 00:15:00 •Support Vector Machines (SVMs) - (Theory Lecture): 00:07:00 •scikit-learn - Support Vector Machines - Hands-on (SVMs): 00:30:00 •scikit-learn - Support Vector Machines (Project 1 Overview): 00:07:00 •scikit-learn - Support Vector Machines (Project 1 Solutions): 00:20:00 •scikit-learn - Support Vector Machines (Optional Project 2 - Overview): 00:02:00 •Theory: K Means Clustering, Elbow method ..: 00:11:00 •scikit-learn - K Means Clustering - Hands-on: 00:23:00 •scikit-learn - K Means Clustering (Project Overview): 00:07:00 •scikit-learn - K Means Clustering (Project Solutions): 00:22:00 •Theory: Principal Component Analysis (PCA): 00:09:00 •scikit-learn - Principal Component Analysis (PCA) - Hands-on: 00:22:00 •scikit-learn - Principal Component Analysis (PCA) - (Project Overview): 00:02:00 •scikit-learn - Principal Component Analysis (PCA) - (Project Solutions): 00:17:00 •Theory: Recommender Systems their Types and Importance: 00:06:00 •Python for Recommender Systems - Hands-on (Part 1): 00:18:00 •Python for Recommender Systems - - Hands-on (Part 2): 00:19:00 •Natural Language Processing (NLP) - (Theory Lecture): 00:13:00 •NLTK - NLP-Challenges, Data Sources, Data Processing ..: 00:13:00 •NLTK - Feature Engineering and Text Preprocessing in Natural Language Processing: 00:19:00 •NLTK - NLP - Tokenization, Text Normalization, Vectorization, BoW.: 00:19:00 •NLTK - BoW, TF-IDF, Machine Learning, Training & Evaluation, Naive Bayes : 00:13:00 •NLTK - NLP - Pipeline feature to assemble several steps for cross-validation: 00:09:00 •Resources- Python for Data Analysis: 00:00:00