Name: Entrepreneur Project Management Diploma Online
Price: 25 GBP
Availability: InStock

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			<p><span>This </span><b>Node.js Express &amp; MongoDB Dev to Deployment</b><span> course is a well-prepared course and perfect for individuals interested in learning how to structure your Node/Express applications, create data models, relate data, display views, authenticate users, create helpers since this comprehensive course provide some solid insight into NodeJS development.</span></p>
<p><span>With this course, you'll learn about Node for adding server-side JavaScript to your skill-set and learn to build engaging and responsive applications. You'll also learn to build schemas, structure models and query MongoDB to get the accurate data, and the core concepts of MongoDB for building production-ready applications.</span></p>
<p><span>The foundations of Node.js including how to prepare and deploy apps to production with Heroku, ES6 concepts like arrow functions, promises, template strings, etc. are an integral part of this course.</span></p>
<h3>What you'll learn</h3>
<ul>
<li><span>Build high quality applications built with Node, Express and MongoDB</span></li>
<li>Implement authentication including local &amp; Google OAuth strategies</li>
<li>Create data models with Mongoose ODM</li>
<li><span>Prepare &amp; deploy apps to production with Heroku</span></li>
<li><span>Learn ES6 concepts like arrow functions, template strings &amp; promises</span></li>
</ul>
<h3>Requirements</h3>
<ul>
<li>Basic HTML / CSS knowledge</li>
<li>A good understanding of JavaScript Fundamentals (functions, objects, loops, etc)</li>
</ul>
<p><strong>Who this course is for:</strong></p>
<ul>
<li>Anyone that wants to learn how to build &amp; deploy apps built with Node, Express &amp; MongoDB</li>
</ul><table>				<tbody><tr>
					<td colspan="4">Course Introduction</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Welcome To The Course</td>
					<td><span>FREE</span> </td>
					<td><span><i></i> 00:05:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Project Files and Questions</td>
					<td><span>FREE</span> </td>
					<td><span><i></i> 00:03:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Setting Up</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Dev Environment Setup</td>
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>What Is Node.js</td>
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Installing &amp; Exploring Node.js</td>
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Installing MongoDB Locally</td>
					<td> </td>
					<td><span><i></i> 00:08:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Sign Up For mLab</td>
					<td> </td>
					<td><span><i></i> 00:03:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Creating a Heroku Account</td>
					<td> </td>
					<td><span><i></i> 00:03:00</span></td>
				</tr>
								<tr>
					<td colspan="4">VidJot Project &amp; Express Fundamentals</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Vidjot Project Introduction</td>
					<td> </td>
					<td><span><i></i> 00:04:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Install &amp; Initialize Express</td>
					<td> </td>
					<td><span><i></i> 00:08:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Basic Routing &amp; Nodemon</td>
					<td> </td>
					<td><span><i></i> 00:06:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Express Middleware</td>
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Working With Templates</td>
					<td> </td>
					<td><span><i></i> 00:10:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Bootstrap &amp; Partials</td>
					<td> </td>
					<td><span><i></i> 00:08:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Mongoose &amp; Local MongoDB</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Install Mongoose &amp; Connect To Mongo</td>
					<td> </td>
					<td><span><i></i> 00:06:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Create The Idea Model</td>
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Add Idea Form</td>
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Server Side Form Validation</td>
					<td> </td>
					<td><span><i></i> 00:09:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Save Idea To MongoDB</td>
					<td> </td>
					<td><span><i></i> 00:04:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Fetching Ideas From MongoDB</td>
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Edit Idea Form</td>
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Update Idea Data</td>
					<td> </td>
					<td><span><i></i> 00:09:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Remove Idea Data</td>
					<td> </td>
					<td><span><i></i> 00:06:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Flash Messaging</td>
					<td> </td>
					<td><span><i></i> 00:11:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Local Authentication With Passport</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>A Look At Passport</td>
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>The Express Router</td>
					<td> </td>
					<td><span><i></i> 00:11:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Login &amp; Register Pages</td>
					<td> </td>
					<td><span><i></i> 00:13:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Register Form Validation</td>
					<td> </td>
					<td><span><i></i> 00:11:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>User Registration</td>
					<td> </td>
					<td><span><i></i> 00:17:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Hooking Up A Local Strategy</td>
					<td> </td>
					<td><span><i></i> 00:11:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Finishing The Login Functionality</td>
					<td> </td>
					<td><span><i></i> 00:12:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Logout Function</td>
					<td> </td>
					<td><span><i></i> 00:04:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Protecting Routes</td>
					<td> </td>
					<td><span><i></i> 00:06:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Access Control</td>
					<td> </td>
					<td><span><i></i> 00:08:00</span></td>
				</tr>
								<tr>
					<td colspan="4">VidJot Prep &amp; Deployment</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Preparing Our App For Deployment</td>
					<td> </td>
					<td><span><i></i> 00:08:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Deploying To Heroku</td>
					<td> </td>
					<td><span><i></i> 00:08:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Adding a Domain Name</td>
					<td> </td>
					<td><span><i></i> 00:04:00</span></td>
				</tr>
								<tr>
					<td colspan="4">StoryBooks Project Start &amp;  Google OAuth</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>StoryBooks App Introduction</td>
					<td> </td>
					<td><span><i></i> 00:04:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Initial Setup &amp; Heroku Push</td>
					<td> </td>
					<td><span><i></i> 00:11:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Creating Our Google OAuth Credentials</td>
					<td> </td>
					<td><span><i></i> 00:08:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Creating Our Google Strategy</td>
					<td> </td>
					<td><span><i></i> 00:12:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Auth Callback &amp; Remote App</td>
					<td> </td>
					<td><span><i></i> 00:09:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Creating The User Model</td>
					<td> </td>
					<td><span><i></i> 00:06:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Saving The Authenticated User 88</td>
					<td> </td>
					<td><span><i></i> 00:10:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Adding Session &amp; Authentication</td>
					<td> </td>
					<td><span><i></i> 00:12:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Creating Our Ul</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Index Routes &amp; Handlebars</td>
					<td> </td>
					<td><span><i></i> 00:12:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Header &amp; Navbar</td>
					<td> </td>
					<td><span><i></i> 00:09:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Side Navigation</td>
					<td> </td>
					<td><span><i></i> 00:09:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Dashboard &amp; Stories Routes</td>
					<td> </td>
					<td><span><i></i> 00:09:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Add Button &amp; Footer</td>
					<td> </td>
					<td><span><i></i> 00:10:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Restricting Routes</td>
					<td> </td>
					<td><span><i></i> 00:06:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Add Story Form</td>
					<td> </td>
					<td><span><i></i> 00:11:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Stories &amp; The Database</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Create The Story Model</td>
					<td> </td>
					<td><span><i></i> 00:06:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Save Story To MongoDB</td>
					<td> </td>
					<td><span><i></i> 00:13:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Fetch &amp; Display Public Stories</td>
					<td> </td>
					<td><span><i></i> 00:12:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Handlebars Helpers</td>
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Show Template &amp; Format Date</td>
					<td> </td>
					<td><span><i></i> 00:11:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Creating The Dashboard</td>
					<td> </td>
					<td><span><i></i> 00:12:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Edit Form &amp; Select Helper</td>
					<td> </td>
					<td><span><i></i> 00:09:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Updating Stories</td>
					<td> </td>
					<td><span><i></i> 00:08:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Deleting Stories</td>
					<td> </td>
					<td><span><i></i> 00:04:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Comments, Access control &amp; Cleanup</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Add Comment Functionality</td>
					<td> </td>
					<td><span><i></i> 00:10:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Listing Comments</td>
					<td> </td>
					<td><span><i></i> 00:04:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Edit Access Control</td>
					<td> </td>
					<td><span><i></i> 00:10:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Get Stories From Specific Users</td>
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Block Private Story Details Page</td>
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
				</tr>
								<tr>
					<td colspan="4">StoryBooks Prep &amp; Deployment </td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Prep &amp; Production Key Variables</td>
					<td> </td>
					<td><span><i></i> 00:08:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Deploy &amp; Test</td>
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Domain &amp; Update Google OAuth Creds</td>
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
				</tr>
				</tbody></table>

iStudy UK

Online Course Creation

Node.js

Next.js

MERN Stack

MongoDB

Vue.js

Node.js Express & MongoDB Dev to Deployment

General Admission

Lead Academy

Microsoft Excel 2016 for Professionals Online Training

<p><strong>Data analysis</strong> is a crucial skill in today's data-driven world, and the demand for skilled data analysts in the UK is on the rise. According to the Office for National Statistics (ONS), the UK's digital economy grew by <strong>7.9% in this year</strong>, creating numerous job opportunities in fields such as data analysis.</p><p>In Data Analysis in Excel with Analytics for Data Analysts course, you will get to learn the fundamentals of Excel data analysis. The highly informative modules will help you enhance your understanding of charts, pivot tables, pivot charts and more. You will acquire the expertise to work with multiple workbooks and worksheets. In this step-by-step learning process, you will get to grasp a better understanding of lookup functions. In addition, you will know the essentials of data forecasting, mapping data and formula auditing.</p><p>At the end of the data analysis course, you can receive QLS endorsed certificate of achievement. This certificate will allow you to enhance your resume and lift your employability. Enrol now!</p><p><strong>Dis Diploma Included Courses are: </strong></p><ul><li><strong>Course 01: Diploma in Data Analytics with Tableau<br /></strong></li><li><strong>Course 02: Data Analytics<br /></strong></li><li><strong>Course 03: Google Data Studio: Data Analytics</strong><strong><br /></strong></li><li><strong>Course 04: Big Data Analytics with PySpark Tableau Desktop and MongoDB<br /></strong></li><li><strong>Course 05: Learn MySQL from Scratch for Data Science and Analytics</strong><strong><br /></strong></li><li><strong>Course 06: Data Analysis In Excel<br /></strong></li><li><strong>Course 07: Diploma in Data Analysis Fundamentals<br /></strong></li><li><strong>Course 08: Business Data Analysis<br /></strong></li><li><strong>Course 09: Data Science &amp; Machine Learning with Python<br /></strong></li><li><strong>Course 10: R Programming for Data Science<br /></strong></li><li><strong>Course 11: Learn Python, JavaScript, and Microsoft SQL for Data science</strong></li></ul><p><strong>Key Learnings:</strong></p><ul><li>Ability to effectively modify and organize data within a worksheet using various formatting tools.</li><li>Proficiency in working with lists and using data analysis techniques such as sorting, filtering, and subtotalling.</li><li>Competency in analysing data through the use of functions, such as statistical and mathematical functions, to derive meaningful insights.</li><li>Proficiency in creating visually appealing charts and graphs to effectively communicate data insights.</li><li>Competency in using PivotTables and PivotCharts to efficiently summarize and analyse large sets of data.</li><li>Proficiency in automating data analysis tasks and functions through the use of macros and other automated workbook functionalities.</li></ul><p><strong>Course Significant Points:</strong></p><ul><li>Quality Licence Scheme Endorsed</li><li>CPD Accredited Course</li><li>Unlimited Retake Exam &amp; Tutor Support</li><li>Easy Accessibility to the Course Materials</li><li>100% Learning Satisfaction Guarantee</li><li>Lifetime Access &amp; 24/7 Support</li><li>Self-paced online course Modules</li><li>Covers to Explore Multiple Job Positions</li></ul><p><strong>How is the course assessed?</strong></p><p>To assess your learning, you have to complete the assignment questions provided at the end of the course. You have to score at least 60% to pass the exam and to qualify for Quality Licence Scheme endorsed and CPD-accredited certificates. After passing the assignment exam, you will be able to apply for a certificate.</p><p><strong>Meet the Endorsement</strong></p><p>The Quality Licence Scheme has been designed specifically to recognise high-quality courses. This Data Analysis with Excel course materials are recognised by Quality Licence Scheme (QLS). This ensures the deep research and quality resource allocation behind the development phase of the course. In addition, the QLS certificate enriches your CV and recognises your quality study on the relevant subject.</p><p><strong>How will QLS boost your worth?</strong></p><ul><li>Achieving <strong>Quality Licence Scheme</strong> endorsed certificates can provide you with valued and credible evidence of <strong>your skills and knowledge to potential employers. </strong></li><li>Quality Licence Scheme (QLS) endorsements are awarded to training programmes and courses that <strong>meet high quality standards</strong>, ensuring that your certificate represents <strong>a valuable achievement.</strong></li><li>The stringent assessment process involved in achieving Quality Licence Scheme Endorsed Certificates ensures that you have acquired the <strong>necessary skills and knowledge to excel in your chosen field.</strong></li></ul><p><strong>Meet the Accreditation</strong></p><p>CPD Quality Standards (CPD QS) accreditation assures the Data Analysis with Excel course training and learning activities are relevant, reliable, and up to date.</p><p><strong>How Will CPD Accredited Value You?</strong></p><ul><li>CPD accreditation ensures that the training programme or course you have completed has been <strong>independently reviewed</strong> and meets <strong>rigorous quality standards.</strong></li><li>By achieving CPD accredited certificates, you can <strong>enhance your career prospects</strong>, build your <strong>professional reputation</strong>, and stay competitive in <strong>today's job market.</strong></li></ul><p><strong>**Diploma in Data Analytics with Tableau**</strong></p><ul><li>Introduction To The Course</li><li>Project 1: Discount Mart (Sales And Profit Analytics)</li><li>Project 2: Green Destinations (HR Analytics)</li><li>Project 3: Superstore (Sales Agent Tracker)</li><li>Northwind Trade (Shipping Analytics)</li><li>Project 5: Tesla (Stock Price Analytics)</li><li>Bonus: Introduction To Database Concepts</li><li>Tableau Stories</li></ul><p><strong>**Data Analytics**</strong></p><ul><li>Introduction To The World Of Data</li><li>Basics Of Data Analytics</li><li>Statistics For Data Analytics</li><li>Actions Taken In The Data Analysis Process</li><li>Gathering The Right Information</li><li>Storing Data</li><li>Data Mining</li><li>Excel For Data Analytics</li><li>Tools For Data Analytics</li><li>Data-Analytic Thinking</li><li>Data Visualisation That Clearly Describes Insights</li><li>Data Visualisation Tools</li></ul><p><strong>**Google Data Studio: Data Analytics**</strong></p><ul><li>Introduction</li><li>Google Sheets</li><li>Google Data Studio</li></ul><p><strong>**Big Data Analytics with PySpark Tableau Desktop and MongoDB**</strong></p><ul><li>Introduction</li><li>Setup And Installations</li><li>Data Processing With PySpark And MongoDB</li><li>Machine Learning With PySpark And MLlib</li><li>Creating The Data Pipeline Scripts</li><li>Tableau Data Visualization</li><li>Source Code</li></ul><p><strong>**Learn MySQL from Scratch for Data Science and Analytics**</strong></p><ul><li>Getting Started</li><li>SQL Server Setting Up</li><li>SQL Database Basics</li><li>SQL DML (Data Manipulation Language)</li><li>SQL DDL (Data Definition Language)</li><li>SQL DCL (Data Control Language)</li><li>SQL Statement Basic</li><li>Filtering Data Rows</li><li>Aggregate Functions For Data Analysis</li><li>SQL Data Analyticstatements</li><li>SQL Group By Statement</li><li>JOINS</li><li>SQL Constraints</li><li>Views</li><li>Advanced SQL Functions</li><li>SQL Stored Procedures</li><li>Import &amp; Export Data</li><li>Backup And Restore Database</li></ul><p><strong>**Data Analysis In Excel**</strong></p><ul><li>Modifying A Worksheet</li><li>Working With Lists</li><li>Analyzing Data</li><li>Visualizing Data With Charts</li><li>Using PivotTables And PivotCharts</li><li>Working With Multiple Worksheets And Workbooks</li><li>Using Lookup Functions And Formula Auditing</li><li>Automating Workbook Functionality</li><li>Creating Sparklines And Mapping Data</li><li>Forecasting Data</li></ul><p><strong>**Diploma in Data Analysis Fundamentals**</strong></p><ul><li>Introduction</li><li>Agenda And Principles Of Process Management</li><li>The Voice Of The Process</li><li>Working As One Team For Improvement</li><li>Exercise: The Voice Of The Customer</li><li>Tools For Data Analysis</li><li>The Pareto Chart</li><li>The Histogram</li><li>The Run Chart</li><li>Exercise: Presenting Performance Data</li><li>Understanding Variation</li><li>The Control Chart</li><li>Control Chart Example</li><li>Control Chart Special Cases</li><li>Interpreting The Control Chart</li><li>Control Chart Exercise</li><li>Strategies To Deal With Variation</li><li>Using Data To Drive Improvement</li><li>A Structure For Performance Measurement</li><li>Data Analysis Exercise</li><li>Course Project</li><li>Test Your Understanding</li></ul><p><strong>**Business Data Analysis**</strong></p><ul><li>Introduction To Business Analysis</li><li>Business Environment</li><li>Business Processes</li><li>Business Analysis Planning And Monitoring</li><li>Strategic Analysis And Product Scope</li><li>Solution Evaluation</li><li>Investigation Techniques</li><li>Ratio Analysis</li><li>Stakeholder Analysis And Management</li><li>Process Improvement With Gap Analysis</li><li>Documenting And Managing Requirements</li><li>Business Development And Succession Planning</li><li>Planning &amp; Forecasting Operations</li><li>Business Writing Skills</li></ul><p><strong>**Data Science &amp; Machine Learning with Python**</strong></p><ul><li>Course Overview &amp; Table Of Contents</li><li>Introduction To Machine Learning</li><li>System And Environment Preparation</li><li>Learn Basics Of Python - Assignment</li><li>Learn Basics Of Python - Functions</li><li>Learn Basics Of Python - Data Structures</li><li>Learn Basics Of NumPy - NumPy Array</li><li>Learn Basics Of NumPy - NumPy Data</li><li>Learn Basics Of NumPy - NumPy Arithmetic</li><li>Learn Basics Of Matplotlib</li><li>Learn Basics Of Pandas</li><li>Understanding The CSV Data File</li><li>Load And Read CSV Data File Using Python Standard Library</li><li>Load And Read CSV Data File Using NumPy</li><li>Load And Read CSV Data File Using Pandas</li><li>Dataset Summary - Peek, Dimensions And Data Types</li><li>Dataset Summary - Class Distribution And Data Summary</li><li>Dataset Summary - Explaining Correlation</li><li>Dataset Summary - Explaining Skewness - Gaussian And Normal Curve</li><li>Dataset Visualization - Using Histograms</li><li>Dataset Visualization - Using Density Plots</li><li>Dataset Visualization - Box And Whisker Plots</li><li>Multivariate Dataset Visualization - Correlation Plots</li><li>Multivariate Dataset Visualization - Scatter Plots</li><li>Data Preparation (Pre-Processing) - Introduction<br /><ul><li>Re-Scaling Data</li><li>Standardizing Data</li><li>Normalizing Data</li><li>Binarizing Data</li></ul></li><li>Feature Selection - Introduction<br /><ul><li>Uni-Variate Part</li><li>Recursive Feature Elimination</li><li>Principal Component Analysis (PCA)</li><li>Feature Importance</li></ul></li><li>Refresher Session - The Mechanism Of Re-Sampling, Training And Testing</li><li>Algorithm Evaluation Techniques - Introduction<br /><ul><li>Train And Test Set</li><li>K-Fold Cross Validation</li><li>Leave One Out Cross Validation</li><li>Repeated Random Test-Train Splits</li></ul></li><li>Algorithm Evaluation Metrics - Introduction<br /><ul><li>Classification Accuracy</li><li>Log Loss</li><li>Area Under ROC Curve</li><li>Confusion Matrix</li><li>Classification Report</li><li>Mean Absolute Error - Dataset Introduction</li><li>Mean Absolute Error</li><li>Mean Square Error</li><li>R Squared</li></ul></li><li>Classification Algorithm Spot Check - Logistic Regression<br /><ul><li>Linear Discriminant Analysis</li><li>K-Nearest Neighbors</li><li>Naive Bayes</li><li>CART</li><li>Support Vector Machines</li></ul></li><li>Regression Algorithm Spot Check - Linear Regression<br /><ul><li>Ridge Regression</li><li>Lasso Linear Regression</li><li>Elastic Net Regression</li><li>K-Nearest Neighbors</li><li>CART</li><li>Support Vector Machines (SVM)</li></ul></li><li>Compare Algorithms</li><li>Pipelines</li><li>Performance Improvement: Ensembles - Voting<br /><ul><li>Bagging</li><li>Boosting</li></ul></li><li>Performance Improvement: Parameter Tuning Using Grid Search</li><li>Performance Improvement: Parameter Tuning Using Random Search</li><li>Export, Save And Load Machine Learning Models : Pickle</li><li>Export, Save And Load Machine Learning Models : Joblib</li><li>Finalizing A Model - Introduction And Steps</li><li>Finalizing A Classification Model - The Pima Indian Diabetes Dataset</li><li>Quick Session: Imbalanced Data Set - Issue Overview And Steps</li><li>Iris Dataset : Finalizing Multi-Class Dataset</li><li>Finalizing A Regression Model - The Boston Housing Price Dataset</li><li>Real-Time Predictions: Using The Pima Indian Diabetes Classification Model</li><li>Real-Time Predictions: Using Iris Flowers Multi-Class Classification Dataset</li><li>Real-Time Predictions: Using The Boston Housing Regression Model</li></ul><p><strong>**R Programming for Data Science**</strong></p><ul><li>Data Science Overview</li><li>R And RStudio</li><li>Introduction To Basics</li><li>Vectors</li><li>Matrices</li><li>Factors</li><li>Data Frames</li><li>Lists</li><li>Relational Operators</li><li>Logical Operators</li><li>Conditional Statements</li><li>Loops</li><li>Functions</li><li>R Packages</li><li>The Apply Family - Lapply</li><li>The Apply Family - Sapply &amp; Vapply</li><li>Useful Functions</li><li>Regular Expressions</li><li>Dates And Times</li><li>Getting And Cleaning Data</li><li>Plotting Data In R</li><li>Data Manipulation With Dplyr</li></ul><p><strong>**Learn Python, JavaScript, and Microsoft SQL for Data science**</strong></p><ul><li>JavaScript Introduction</li><li>JavaScript Basics</li><li>JavaScript Operators</li><li>JavaScript Conditional Statements</li><li>JavaScript Control Flow Statements</li><li>JavaScript Functions</li><li>JavaScript Error Handling</li><li>JavaScript Client-Side Validations</li><li>Python Introduction</li><li>Python Basic</li><li>Python Strings</li><li>Python Operators</li><li>Python Data Structures</li><li>Python Conditional Statements</li><li>Python Control Flow Statements</li><li>Python Core Games</li><li>Python Functions</li><li>Python Args, KW Args For Data Science</li><li>Python Project</li><li>Python Object Oriented Programming [OOPs]</li><li>Python Methods</li><li>Python Class And Objects</li><li>Python Inheritance And Polymorphism</li><li>Python Encapsulation And Abstraction</li><li>Python OOPs Games</li><li>Python Modules And Packages</li><li>Python Error Handling</li><li>Microsoft SQL[MS] Introduction</li><li>MS SQL Statements</li><li>MS SQL Filtering Data</li><li>MS SQL Functions</li><li>MS SQL Joins</li><li>MS SQL Advanced Commands</li><li>MS SQL Structure And Keys</li><li>MS SQL Queries</li><li>MS SQL Structure Queries</li><li>MS SQL Constraints</li><li>MS SQL Backup And Restore</li></ul><h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
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                                <div>
                                    <div>
                                        570 CPD hours / points
                                    </div>
                                        <div>
                                            Accredited by CPD Quality Standards
                                        </div>
                                </div>
                            </div>
                        </div><h2>
        
        <div>Who is this course for?</div>
    </h2>

                        <div id="who_is_this_course_for">
                            <p><strong>Data Analysis course is ideal for: </strong></p><ul><li>Professionals working in fields such as finance, business, and healthcare who need to analyse data and make decisions based on their findings.</li><li>Students and researchers who want to develop their skills in data analysis and visualisation using Excel.</li><li>Individuals who are looking to pursue a career in data analysis and want to gain a foundational understanding of Excel and its capabilities.</li><li>Business owners and entrepreneurs who want to learn how to use Excel to analyse and interpret data for their own businesses.</li><li>Anyone who wants to improve their data analysis skills for personal or professional purposes and gain proficiency in Excel as a tool for data analysis.</li></ul>
                        </div><h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>There are no specific prerequisites to enrol in Data analysis course. <strong> Anyone and everyone</strong> can take this course.</p>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>The course will assist you in establishing a solid understanding of data analysis. After the course, you will be able to explore career options such as:</p><ul><li><strong>Data Analyst </strong>(Average annual salary £35,000)</li><li><strong>Research Analyst</strong> (Average annual salary £28,552)</li><li><strong>Business Analyst</strong> (Average annual salary £42,618)</li><li><strong>Risk Analyst </strong>(Average annual salary £41,340)</li><li><strong>Financial Analyst</strong> (Average annual salary £50,300)</li></ul>
                        </div><h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>Certificate of completion (PDF)</h4>
        <p>
            Digital certificate -
            £9
        </p>
            <div> <p><strong>CPD Accredited PDF Certificate.</strong><br />A PDF Certificate: £9</p> </div>
        <h4>Certificate of completion (Hardcopy)</h4>
        <p>
            Hard copy certificate -
            £15
        </p>
            <div> <p><strong>CPD Accredited Hard Copy Certificate. </strong><br />A Hardcopy Certificate (within the UK): £15<br />A Hardcopy Certificate (international): £15 + £10 (postal charge) = £25</p> </div>
        <h4>Endorsed Certificate of Achievement from the Quality Licence Scheme (Hardcopy)</h4>
        <p>
            Hard copy certificate -
            £109
        </p>
            <div> <p>Data Analysis In Excel (within the UK: £109, International: £119)</p> </div>

                        </div>

One Education

Data Analyst : Data Analyst (Data Analytics) - Level 5 Diploma Course

<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="color: rgb(14, 11, 22); box-sizing: border-box;" id="isPasted" fr-original-style="color: rgb(14, 11, 22);">The Introduction to M&amp;A manual is an indispensable resource for finance professionals, auditors, and business managers looking at beginning their M&amp;A journey.</span></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="color: rgb(14, 11, 22); box-sizing: border-box;" fr-original-style="color: rgb(14, 11, 22);"><br fr-original-style="" style="box-sizing: border-box;"></span></p><hr fr-original-style="" style="border-color: var(--border-muted); border-style: solid; clear: both; break-after: page; user-select: none; box-sizing: border-box;"><p id="isPasted" fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">What is Inside the manual?</strong></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Model Setup and Structure</strong></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">This foundational section covers everything from initial design principles to file naming conventions and sheet consistency. It also discusses the importance of freezing panes for ease of use, establishing a coherent model structure.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Inputs, Assumptions, and Outputs</strong></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Essential for the integrity and flexibility of financial models, this part delves into how to organise inputs and assumptions effectively, the creation of a control panel for easy scenario adjustments, and the clear presentation of outputs for decision-making.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Advanced Excel Techniques</strong></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Focusing on critical Excel functionalities such as relative vs. absolute referencing, naming cells and ranges, and the use of functions like IF, LOOKUP, and INDIRECT. It also covers the management of volatile functions and data consolidation techniques.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Analysis and Presentation</strong></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">This section emphasises tools and methods for analysing model outputs, including pivot tables, array formulas, and sensitivity analysis using Goal Seek and data tables. It also covers the validation of data inputs and outputs, conditional formatting, and the creation of charts for visual representation of data.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Model Auditing and Error Detection</strong></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">A critical component for ensuring the accuracy and reliability of financial models, this part provides strategies for auditing models, tracking changes, detecting errors, and utilising Excel&#39;s built-in auditing tools. It offers a systematic approach to reviewing models and ensuring they are free of errors and ready for use.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Introduction to Mergers and Aquisitions</strong></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">This book offers a concise yet comprehensive guide to the intricacies of mergers and acquisitions (M&amp;A), covering both theoretical strategies and practical steps involved in buying and selling companies. It explores the initial planning and strategy, dives into the specifics of dealing with both private and public companies, and discusses the critical aspects of deal structuring and post-acquisition integration.</p>

Capital City Training & Consulting Ltd

Introduction to Mergers and Acquisitions

<h1><b>Overview</b></h1>
<p><b>Uplift Your Career &amp; Skill Up to Your Dream Job - Learning Simplified From Home!</b></p>
<p><span>Kickstart your career &amp; boost your employability by helping you discover your skills, talents, and interests with our special </span><b>Azure Machine Learning</b> <span>Course. You'll create a pathway to your ideal job as this course is designed to uplift your career in the relevant industry. It provides the professional training employers seek in today's workplaces.</span></p>
<p><span>The </span><b>Azure Machine Learning</b> <span>Course is one of the most prestigious training offered at </span><b>Skillwise </b><span>and is highly valued by employers for good reason. This </span><b>Azure Machine Learning</b> <span>Course has been designed by industry experts to provide our learners with the best learning experience possible to increase their understanding of their chosen field.</span></p>
<p><span>This </span><b>Azure Machine Learning</b> <span>Course, like every one of </span><b>Skillwise</b><span>'s courses, is meticulously developed and well-researched. Every one of the topics is divided into elementary modules, allowing our students to grasp each lesson quickly.</span></p>
<p><span>At </span><b>Skillwise</b><span>, we don't just offer courses; we also provide a valuable teaching process. When you buy a course from </span><b>Skillwise</b><span>, you get unlimited Lifetime access with 24/7 dedicated tutor support.</span></p>
<h3><b>Why buy this </b><b>Azure Machine Learning</b><b>?</b></h3>
<ol>
<li><span>Lifetime access to the course forever</span></li>
<li><b>Digital Certificate, Transcript, and student ID </b><span>are</span> <span>all included in the price</span></li>
<li><span>Absolutely no hidden fees</span></li>
<li><span>Directly receive </span><b>CPD Quality Standards accredited</b><span> qualifications after course completion</span></li>
<li><span>Receive one-to-one assistance every weekday from professionals</span></li>
<li><span>Immediately receive the PDF certificate after passing</span></li>
<li><span>Receive the original copies of your certificate and transcript on the next working day</span></li>
<li><span>Easily learn the skills and knowledge from the comfort of your home</span></li>
</ol>
<h1><b>Certification</b></h1>
<p><span>After studying the course materials of the </span><b>Azure Machine Learning</b> <span>there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for free. Original Hard Copy certificates need to be ordered at an additional cost of £8.</span></p>
<h1><b>Who is this course for?</b></h1>
<p><span>This </span><b>Azure Machine Learning</b> <span>course is ideal for</span></p>
<ul>
<li><span>Students</span></li>
<li><span>Recent graduates</span></li>
<li><span>Job Seekers</span></li>
<li><span>Anyone interested in this topic</span></li>
<li><span>People already working in the relevant fields and want to polish their knowledge and skills.</span></li>
</ul>
<h1><b>Prerequisites</b></h1>
<p><span>This </span><b>Azure Machine Learning</b> <span>does not require you to have any prior qualifications or experience. You can just enroll and start learning. This </span><b>Azure Machine Learning</b> <span>was made by professionals and it is compatible with all PCs, Macs, tablets, and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection.</span></p>
<h1><b>Career path</b></h1>
<p><span>As this course comes with multiple courses included as a bonus, you will be able to pursue multiple occupations. This </span><b>Azure Machine Learning</b> <span>is a great way for you to gain multiple skills from the comfort of your home.</span></p><div id="accordion"> 
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                                                            Module 01: Introduction to Microsoft Azure Machine Learning Studio and Administration                                                        </div>
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                                                            Assignment - Azure Machine Learning                                                        </div>
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                                                            06:06:00                                                        </div>
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SkillWise

Azure Machine Learning

<h3><strong>Overview</strong></h3>
This comprehensive course on <strong>Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query </strong>will deepen your understanding <span>on this topic.</span>

After successful completion of this course you can acquire the required skills in this sector. This <strong>Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query</strong> 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.
<h3><strong>How will I get my certificate?</strong></h3>
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.
<h3><strong>Who is this course for?</strong></h3>
There is no experience or previous qualifications required for enrolment on this <strong>Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query</strong>. It is available to all students, of all academic backgrounds.
<h3><strong>Requirements</strong></h3>
Our <strong>Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query</strong> is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible on tablets and smartphones so you can access your course on wifi, 3G or 4G.

There is no time limit for completing this course, it can be studied in your own time at your own pace.
<h3><strong>Career path</strong></h3>
Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business &amp; Management, Admin, Accountancy &amp; Finance, Secretarial &amp; PA, Teaching &amp; Mentoring etc. <h3>Course Curriculum</h3><div><p>12 sections • 76 lectures • 06:08:00 total length</p></div><div><div><div><div><div><div><div><p>•Course Outline and Introduction: 00:04:00</p></div><div><div><p>•Minimum Requirements for the Course: 00:01:00</p></div><div><div><p>•Prepayments Introduction: 00:01:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Month End Date Prepaid Expenses Amortization Calculation: 00:00:00</p></div><div><div><p>•Exact Prepaid Expenses Payment Date Calculation: 00:00:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Prepaid Expenses Accounting Definition: Prepayments: 00:03:00</p></div><div><div><p>•Prepaid Expense Example: How Accounting works for Prepayments: 00:03:00</p></div><div><div><p>•Advantages and Disadvantages of Prepaid Expenses: 00:03:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Introduction to PRO Excel Models and Formulas: 00:06:00</p></div><div><div><p>•Date Function: 00:05:00</p></div><div><div><p>•EOMONTH Function: 00:04:00</p></div><div><div><p>•DATEVALUE function: 00:03:00</p></div><div><div><p>•IF Function: 00:08:00</p></div><div><div><p>•IFS Function (Office 365 Only): 00:07:00</p></div><div><div><p>•VLOOKUP Function: 00:07:00</p></div><div><div><p>•MATCH Function: 00:05:00</p></div><div><div><p>•INDIRECT Function: 00:02:00</p></div><div><div><p>•NAMED Ranges: Name Manager: 00:03:00</p></div><div><div><p>•Advanced Version of VLOOKUP Function: 00:07:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Introduction to Model and Control Panel Tab (Important Sheet Tab): 00:08:00</p></div><div><div><p>•Formula Based Prepaid Expenses Model - Deep Dive (Part 1): 00:05:00</p></div><div><div><p>•Formula Based Prepaid Expenses Model - Deep Dive (Part 2): 00:06:00</p></div><div><div><p>•Formula Based Prepaid Expenses Model - Deep Dive (Part 3): 00:06:00</p></div><div><div><p>•IFS Function - Month End date Prepayment calculation: 00:04:00</p></div><div><div><p>•Prepaid Expenses - Closing Balance Summary Tab (Formula Based Summary): 00:09:00</p></div><div><div><p>•Protecting Formulas Cells and Fields in the Model: 00:04:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Exact Date Prepaid Amortisation calculation Intro: 00:03:00</p></div><div><div><p>•Formulas update and Model Changes for Exact Prepaid Exps Calculation: 00:03:00</p></div><div><div><p>•Formulas Update for Exact Date Prepaid Exps Amortisation (Part 1): 00:04:00</p></div><div><div><p>•Formulas Update for Exact Date Prepaid Exps Amortisation (Part 2): 00:03:00</p></div><div><div><p>•Formulas Update for Exact Date Prepaid Exps Amortisation (Part 3): 00:02:00</p></div><div><div><p>•Formulas Update for Exact Date Prepaid Exps Amortisation (Part 4): 00:07:00</p></div><div><div><p>•IFS Function - Exact Date Prepayments Amortisation: 00:04:00</p></div><div><div><p>•Data Validation Controls (Enhancing Data Input Controls with Protection): 00:10:00</p></div><div><div><p>•Bonus: Prepayment Model with Opening Balance Calculation (Part 1): 00:08:00</p></div><div><div><p>•Bonus: Prepayment Model with Opening Balance Calculation (Part 2): 00:09:00</p></div><div><div><p>•Additional Material: Resources: 00:00:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Power Query and Pivot Table Prepayment Summary Table Intro: 00:06:00</p></div><div><div><p>•What is Power Query and Some Awesome Resources for Power Query learning: 00:07:00</p></div><div><div><p>•Power Query and Pivot Table Summary - Deep Dive (Part 1): 00:05:00</p></div><div><div><p>•Power Query and Pivot Table Summary - Deep Dive (Part 2): 00:04:00</p></div><div><div><p>•Power Query and Pivot Table Summary - Deep Dive (Part 3): 00:05:00</p></div><div><div><p>•Power Query and Pivot Table Summary - Deep Dive (Part 4): 00:09:00</p></div><div><div><p>•Using Array Formulas to Add Formula Protection: 00:04:00</p></div><div><div><p>•Bonus: Allocate Prepaid Expenditure Cost Centre Wise - 1: 00:02:00</p></div><div><div><p>•Bonus: Allocate Prepaid Expenditure Cost Centre Wise - 2: 00:08:00</p></div><div><div><p>•Bonus: Prepayment Model with Opening Balance Calculation (PQ and PT Version): 00:13:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Changing Macros Security in Excel: 00:05:00</p></div><div><div><p>•Complete Walkthrough - Advanced VBA Prepaid Expenses Amortisation Model: 00:06:00</p></div><div><div><p>•Bonus : New Version - Excel VBA Model for Prepayment Expenditure: 00:08:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Dynamic Dashboard Overview: 00:07:00</p></div><div><div><p>•Importing Profit and Loss Statements Source Files and creating YTD P&amp;L Sheets: 00:08:00</p></div><div><div><p>•Creating Dynamic Data Validation: 00:02:00</p></div><div><div><p>•Creating Named Ranges for Dynamic Table Arrays: 00:03:00</p></div><div><div><p>•Dynamic Date Column Headings for each Divisional PL Table: 00:02:00</p></div><div><div><p>•Dynamic Month and YTD Dashboard tables headings (PRO TIP): 00:03:00</p></div><div><div><p>•Dynamic VLOOKUP Formula - Preparing First section of the Dashboard: 00:04:00</p></div><div><div><p>•Creating Rolling Dashboard with Dynamic VLOOKUP Function: 00:08:00</p></div><div><div><p>•IMPORTANT : Error Checking for your reports/Dashboard (PRO TIP): 00:03:00</p></div><div><div><p>•Data Prep for Visualization: AREA Charts (Awesome trick using #NA Function): 00:05:00</p></div><div><div><p>•Visualization: AREA Charts for Month - Revenue, Gross Profit and Net Profit: 00:05:00</p></div><div><div><p>•Visualization DONUT Charts Revenue, Gross Profit and Net Profit (Part 1): 00:03:00</p></div><div><div><p>•Visualization DONUT Charts Revenue, Gross Profit and Net Profit (Part 2): 00:06:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Introduction - Formula-less Dashboard - Fully Dynamic and easily refreshed: 00:05:00</p></div><div><div><p>•Understanding the data files before building dashboard: 00:02:00</p></div><div><div><p>•Consolidating Reports with Power Query (Get &amp; Transform) , How to install PQ: 00:08:00</p></div><div><div><p>•Dynamic File Path Trick in Power Query with Parameters (Amazing trick): 00:06:00</p></div><div><div><p>•Conditional Cumulative totals with SUMIFS Function: 00:04:00</p></div><div><div><p>•Bonus: Conditional Cumulative totals with Power Query Custom Formula (M Code): 00:06:00</p></div><div><div><p>•Dashboard Creation - Pivot Table showing Month and YTD KPIs division wise: 00:06:00</p></div><div><div><p>•Dashboard Creation Donuts Charts linked with Pivot Table (Replicate Charts fast): 00:08:00</p></div><div><div><p>•Dashboard Creation - Line Charts: 00:08:00</p></div><div><div><p>•Update Dashboard with Additional Divisional Data with Few Click (Magical): 00:03:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Thank you: 00:02:00</p></div><div><div><p>•Ultimate Prepaid Expenditure Model (Super Bonus): 00:02:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Resources - Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query: 00:00:00</p></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div>

Apex Learning

Online Course Marketing

Finance Cert & Exam Prep

Microsoft Excel

Certification in Cash & Voucher Assistant (CVA)

Practical Accounting

Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query

Packt

Java

Kotlin

Web Development

A course that focuses on using Kotlin for server-side development using the Spring Boot framework. This hands-on course will help you get familiar with the basics of the Kotlin programming language as well as the entire process of building RESTful APIs using Kotlin Spring Boot.

Build RESTful APIs Using Kotlin and Spring Boot

Angular

Master Angular and Dart (AngularDart) and build high-performance, flexible, and dynamic web apps

AngularDart: Build Dynamic Web Apps with Angular and Dart

<div id="course-pills-1">Duration<p>2 Days</p><p>12 CPD hours</p>This course is intended for<p>This course is designed for students looking to establish a foundational understanding of Microsoft Access for Office 365, including the skills necessary to create a new database, construct data tables, design forms and reports, and create queries.</p>Overview<p>In this course, you will create and manage an Access database.<br />You will:<br />Navigate within the Access application environment, create a simple database, and customize Access configuration options.<br />Organize and manage data stored within Access tables.<br />Use queries to join, sort, and filter data from different tables.<br />Use forms to make it easier to view, access, and input data.<br />Create and format custom reports.</p><p>In this introductory course, you will discover the capabilities of MicrosoftÂ© AccessÂ©, a relational database application that can help you and your organization manage your complex data.</p></div><div id="course-pills-2"><h4>Working with an Access Database</h4><ul><li>Topic A: Launch Access and Open a Database</li><li>Topic B: Use Tables to Store Data</li><li>Topic C: Use Queries to Combine, Find, Filter, and Sort Data</li><li>Topic D: Use Forms to View, Add, and Update Data</li><li>Topic E: Use Reports to Present Data</li><li>Topic F: Get Help and Configure Options in Microsoft Access</li></ul><h4>Creating Tables</h4><ul><li>Topic A: Plan an Access Database</li><li>Topic B: Start a New Access Database</li><li>Topic C: Create a New Table</li><li>Topic D: Establish Table Relationships</li></ul><h4>Creating Queries</h4><ul><li>Topic A: Create Basic Queries</li><li>Topic B: Add Calculated Columns in a Query</li><li>Topic C: Sort and Filter Data in a Query</li></ul><h4>Creating Forms</h4><ul><li>Topic A: Start a New Form</li><li>Topic B: Enhance a Form</li></ul><h4>Creating Reports</h4><ul><li>Topic A: Start a New Report</li><li>Topic B: Enhance Report Layout</li></ul><h4>Promoting Quality Data Input</h4><ul><li>Topic A: Restrict Data Input through Field Validation</li><li>Topic B: Restrict Data Input through Forms and Record Validation</li></ul><h4>Improving Efficiency and Data Integrity</h4><ul><li>Topic A: Data Normalization</li><li>Topic B: Associate Unrelated Tables</li><li>Topic C: Enforce Referential Integrity</li></ul></div><div id="course-pills-3"><h4>Additional course details:</h4><br /><p>Nexus Humans Microsoft Access for Office 365 (Desktop or Online) - Part 1 training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. </p><p></p> This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. <p></p>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.  <p></p>While we feel this is the best course for the Microsoft Access for Office 365 (Desktop or Online) - Part 1 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.  <p></p>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.<p></p></div>

Nexus Human

Microsoft 365

Microsoft AZ-900

Microsoft Access

Trainers Course

Microsoft AZ-303

Microsoft Access for Office 365 (Desktop or Online) - Part 1

Entrepreneur Project Management Diploma Online

<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" id="isPasted" fr-original-style="color: rgb(0, 0, 0);">Peer supervision for clinical hypnotherapists offers several benefits that contribute to their professional growth and development. Here are some key advantages:</span><br style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);"><br style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);"><strong style="color: rgb(0, 0, 0); font-weight: 700; box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Enhanced Reflective Practice:&nbsp;</strong><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Peer supervision provides an opportunity for hypnotherapists to reflect on their own practice and gain insight into their strengths, weaknesses, and areas for improvement. Through discussions with peers, they can explore different perspectives and approaches, deepening their understanding of their therapeutic work.</span><br style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);"><br style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);"><strong style="color: rgb(0, 0, 0); font-weight: 700; box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Continuous Learning:</strong><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">&nbsp;Engaging in peer supervision allows hypnotherapists to expand their knowledge base by learning from the experiences and expertise of their peers. They can share innovative techniques, new research findings, and emerging trends in the field, fostering a culture of continuous learning and professional development.</span><br style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);"><br style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);"><strong style="color: rgb(0, 0, 0); font-weight: 700; box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Emotional Support:</strong><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">&nbsp;The nature of clinical hypnotherapy can be emotionally demanding, and hypnotherapists may encounter challenging situations or difficult clients. Peer supervision provides a safe and supportive space for therapists to share their experiences, express their concerns, and receive emotional support from others who understand the unique demands of their work.</span><br style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);"><br style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);"><strong style="color: rgb(0, 0, 0); font-weight: 700; box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Feedback and Validation:</strong><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">&nbsp;Peer supervision offers a valuable platform for receiving feedback and validation from fellow professionals. Colleagues can provide constructive criticism, offer fresh perspectives, and help identify blind spots or areas for improvement. This feedback helps hypnotherapists refine their skills and approaches, ultimately enhancing the quality of their clinical practice.</span><br style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);"><br style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);"><strong style="color: rgb(0, 0, 0); font-weight: 700; box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Ethical Guidance:</strong><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">&nbsp;Ethical considerations are crucial in the field of hypnotherapy. Peer supervision provides an opportunity for hypnotherapists to discuss ethical dilemmas they may face and seek guidance from their peers. Collaborative discussions around ethical issues help hypnotherapists maintain professional standards and navigate complex situations.</span><br style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);"><br style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);"><strong style="color: rgb(0, 0, 0); font-weight: 700; box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Networking and Collaboration:</strong><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">&nbsp;Engaging in peer supervision allows hypnotherapists to build a network of professional contacts. This network can lead to collaborative opportunities, referrals, and potential partnerships, enhancing their professional growth and expanding their practice.</span><br style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);"><br style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);"><strong style="color: rgb(0, 0, 0); font-weight: 700; box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Professional Accountability:</strong><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">&nbsp;Peer supervision establishes a sense of accountability among hypnotherapists. When therapists know they will be discussing their work with peers, they are more likely to maintain high standards and engage in self-reflection to ensure the quality of their practice.</span></p>

Peer supervision for clinical hypnotherapists offers several benefits that contribute to their professional growth and development. Here are some key advantages:

Enhanced Reflective Practice: Peer supervision provides an opportunity for hypnotherapists to reflect on their own practice and gain insight into their strengths, weaknesses, and areas for improvement. Through discussions with peers, they can explore different perspectives and approaches, deepening their understanding of their therapeutic work.

Continuous Learning: Engaging in peer supervision allows hypnotherapists to expand their knowledge base by learning from the experiences and expertise of their peers. They can share innovative techniques, new research findings, and emerging trends in the field, fostering a culture of continuous learning and professional development.

Emotional Support: The nature of clinical hypnotherapy can be emotionally demanding, and hypnotherapists may encounter challenging situations or difficult clients. Peer supervision provides a safe and supportive space for therapists to share their experiences, express their concerns, and receive emotional support from others who understand the unique demands of their work.

Feedback and Validation: Peer supervision offers a valuable platform for receiving feedback and validation from fellow professionals. Colleagues can provide constructive criticism, offer fresh perspectives, and help identify blind spots or areas for improvement. This feedback helps hypnotherapists refine their skills and approaches, ultimately enhancing the quality of their clinical practice.

Ethical Guidance: Ethical considerations are crucial in the field of hypnotherapy. Peer supervision provides an opportunity for hypnotherapists to discuss ethical dilemmas they may face and seek guidance from their peers. Collaborative discussions around ethical issues help hypnotherapists maintain professional standards and navigate complex situations.

Networking and Collaboration: Engaging in peer supervision allows hypnotherapists to build a network of professional contacts. This network can lead to collaborative opportunities, referrals, and potential partnerships, enhancing their professional growth and expanding their practice.

Professional Accountability: Peer supervision establishes a sense of accountability among hypnotherapists. When therapists know they will be discussing their work with peers, they are more likely to maintain high standards and engage in self-reflection to ensure the quality of their practice.

The Northern College Of Clinical Hypnotherapy

Clinical Supervision

Hypnotherapist

Professional Development

Peer Supervision for Clinical Hypnotherapists:

Peer supervision for clinical hypnotherapists fosters professional growth through enhanced reflective practice, continuous learning, emotional support, feedback and validation, ethical guidance, networking, and professional accountability.

- **Enhanced Reflective Practice**: Facilitates self-reflection, helping hypnotherapists identify strengths, weaknesses, and areas for improvement through peer discussions.
- **Continuous Learning**: Expands knowledge by sharing innovative techniques, research findings, and emerging trends, promoting ongoing professional development.
- **Emotional Support**: Provides a supportive space for therapists to share experiences and receive emotional support, addressing the emotional demands of the profession.
- **Feedback and Validation**: Offers constructive criticism and fresh perspectives, aiding in skill refinement and improved clinical practice.
- **Ethical Guidance**: Allows discussion of ethical dilemmas and collaborative solutions, ensuring adherence to professional standards.
- **Networking and Collaboration**: Builds professional networks, leading to collaboration, referrals, and partnerships.
- **Professional Accountability**: Encourages high standards and self-reflection through peer discussions, enhancing practice quality.

Peer Supervision.

'Her Business’ is designed exclusively for both women already in business, or starting their journey, who are looking to amplify their business acumen. 
Led by Essex Businesswoman of the Year, Sarah Brockwell, this session covers strategic business planning, marketing strategies tailored for female-led businesses, networking in Essex, and navigating challenges unique to women in business.
With interactive activities and case studies, participants will learn techniques for overcoming imposter syndrome, resilience, validation, and building confidence – all contributing to business success. 
Participants will leave with actionable strategies and a renewed sense of empowerment
-----------------------------------------------------------------------------------------------------

This project is funded by the UK Government through the UK Shared Prosperity Fund.
The UK Shared Prosperity Fund is a central pillar of the UK government's Levelling Up agenda and provides £2.6 billion of funding for local investment by March 2025. The Fund aims to improve pride in place and increase life chances across the UK investing in communities and place, supporting local business, and people and skills. For more information, visit https://www.gov.uk/government/publications/uk-shared-prosperity-fund-prospectus 

The Consortium

'Her Business’ is designed exclusively for both women already in business or starting their journey, who are looking to amplify their business acumen. 

Her Business

Manchester

Research Quality Association

Introduction to Computer Systems Validation

RQA Member

Non Member

<p style="color: rgb(var(--color_25)); font-size: var(--font-size); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(var(--color_25));">This official BRCGS one-day course will provide you with a thorough understanding of validation and verification so you know the level of detail required for each process and are able to use validation and verification in practice. This is especially helpful when implementing some of the requirements in the BRCGS Standards.</p><p style="color: rgb(var(--color_25)); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(var(--color_25));">This course is part of the <a href="http://demo-brcgs.wearesigma.com/training/brcgs-professional/about-the-programme/" target="_blank" rel="noreferrer noopener" style="color: inherit; user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;" fr-original-style=" color: inherit;">BRCGS Professional recognition programme</a>.</p><p style="color: rgb(var(--color_25)); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(var(--color_25));">At the end of the course, you will:</p><ul style="color: rgb(var(--color_25)); box-sizing: border-box;" fr-original-style=" color: rgb(var(--color_25));"><li fr-original-style="" style="box-sizing: border-box;"><p style="color: rgb(var(--color_25)); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(var(--color_25));">Be able to define and understand the terms validation and verification</p></li><li fr-original-style="" style="box-sizing: border-box;"><p style="color: rgb(var(--color_25)); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(var(--color_25));">Understand the level of detail required for each process</p></li><li fr-original-style="" style="box-sizing: border-box;"><p style="color: rgb(var(--color_25)); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(var(--color_25));">Be able to use validation and verification in practice</p></li><li fr-original-style="" style="box-sizing: border-box;"><p style="color: rgb(var(--color_25)); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(var(--color_25));">Appreciate how validation and verification relate to conformance to the BRCGS Standards</p></li></ul>

This official BRCGS one-day course will provide you with a thorough understanding of validation and verification so you know the level of detail required for each process and are able to use validation and verification in practice. This is especially helpful when implementing some of the requirements in the BRCGS Standards.
This course is part of the BRCGS Professional recognition programme.
At the end of the course, you will:
Be able to define and understand the terms validation and verification
Understand the level of detail required for each process
Be able to use validation and verification in practice
Appreciate how validation and verification relate to conformance to the BRCGS Standards

Ask Sonia Limited

Food Safety

HACCP

Official BRCGS Product Safety Management course: Validation & Verification
Delivered online (Zoom) by a live BRCGS Approved Training Partner.
Exam and Certificate fee included in the price.

BRCGS Validation & Verification (1 Day)

<div id="course-pills-1">Duration<p>5 Days</p><p>30 CPD hours</p>This course is intended for<p>The CCSP is ideal for IT and information security leaders responsible for applying best practices to cloud security architecture, design, operations and service orchestration.</p>Overview<p>Upon completing this course, the participants will gain valuable knowledge and skills including the ability to: - Successfully pass the CCSP exam. - Understand the fundamentals of the cloud computing architecture framework. - Understand security challenges associated with different types of cloud services. - Identify and evaluate security risks for their organization?s cloud environments. - Select and implement appropriate controls to ensure secure implementation of cloud services. - Thoroughly understand the 6 essential core domains of the CCSP common body of knowledge:  1. Architectural Concepts &amp; Design Requirements 2. Cloud Data Security  3. Cloud Platform &amp; Infrastructure Security  4. Cloud Application Security  5. Operations  6. Legal &amp; Compliance</p><p>The goal of the course is to prepare professionals for the challenging CCSP exam by covering the objectives of the exam based on the six domains as defined in the (ISC)2 CCSP common body of knowledge.</p></div><div id="course-pills-2"><h3>1 - Architectural Concepts and Design Requirements</h3> <ul> <li>Cloud Computing Concepts</li> <li>Cloud Reference Architecture</li> <li>Cloud Computing Security Concepts</li> <li>Design Principles of Secure Cloud Computing</li> <li>Trusted Cloud Services</li> </ul> <h3>2 - Cloud Data Security</h3> <ul> <li>CSA (Cloud Security Alliance) Cloud Data Lifecycle</li> <li>Cloud Data Storage Architectures</li> <li>Data Security Strategies</li> <li>Data Discovery and Classification Technologies</li> <li>Protecting Privacy and PII (Personally Identifiable Information)</li> <li>Data Rights Management</li> <li>Data Retention, Deletion, and Archiving Policies</li> <li>Auditability, Traceability, and Accountability of Data Events</li> </ul> <h3>3 - Cloud Platform and Infrastructure Security</h3> <ul> <li>Cloud Infrastructure Components</li> <li>Cloud Infrastructure Risks</li> <li>Designing and Planning Security Controls</li> <li>Disaster Recovery and Business Continuity Management</li> </ul> <h3>4 - Cloud Application Security</h3> <ul> <li>The Need for Security Awareness and Training in application Security</li> <li>Cloud Software Assurance and Validation</li> <li>Verified Secure Software</li> <li>SDLC (Software Development Life Cycle) Process</li> <li>Secure SDLC</li> <li>Specifics of Cloud Application Architecture</li> <li>Secure IAM (Identity and Access Management) Solutions</li> </ul> <h3>5 - Operations</h3> <ul> <li>Planning Process for the Data Center Design</li> <li>Installation and Configuration of Physical Infrastructure for Cloud Environment</li> <li>Running Physical Infrastructure for Cloud Environment</li> <li>Managing Physical Infrastructure for Cloud Environment</li> <li>Installation and Configuration of Logical Infrastructure for Cloud Environment</li> <li>Running Logical Infrastructure for Cloud Environment</li> <li>Managing Logical Infrastructure for Cloud Environment</li> <li>Compliance with Regulations and Controls</li> <li>Risk Assessment for Logical and Physical Infrastructure</li> <li>Collection, Acquisition, and Preservation of Digital Evidence</li> <li>Managing Communication with Stakeholders</li> </ul> <h3>6 - Legal and Compliance</h3> <ul> <li>Legal Requirements and Unique Risks within the Cloud Environment</li> <li>Relevant Privacy and PII Laws and Regulations</li> <li>Audit Process, Methodologies, and Required Adaptions for a Cloud Environment</li> <li>Implications of Cloud to Enterprise Risk Management</li> <li>Outsourcing and Cloud Contract Design</li> <li>Vendor Management</li> </ul></div>

Certified in Cybersecurity (CC)

Certificate in Information Security Management Principles (CISMP)

Certified Cloud Security Professional (CCSP)

AWS Certified Cloud Practitioner

Certified Cyber Professional (CCP)

Cissp

<p style="color: rgb(51, 51, 51); font-size: var(--font-size); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(51, 51, 51);"><span style="color: rgb(51, 51, 51); box-sizing: border-box;" id="isPasted" fr-original-style="color: rgb(51, 51, 51);">Essential to validation is the provision of documented evidence verifying that manufacturing processes will consistently result in products meeting predetermined quality standards. This module describes the purpose, content and use of validation master plans, project validation plans, and other documentation for validation projects in the medicines and healthcare products industries. It describes the activities of a typical validation team as they carry out a project for a pharmaceutical company.</span></p>

Zenosis

Good Manufacturing Practice (GMP)

Biotechnology

Pharmaceutical

Pharmacology

Drug Safety

Medical

Healthcare

Essential to validation is the provision of documented evidence verifying that manufacturing processes will consistently result in products meeting predetermined quality standards. This module describes the purpose, content and use of validation master plans, project validation plans, and other documentation for validation projects in the medicines and healthcare products industries. It describes the activities of a typical validation team as they carry out a project for a pharmaceutical company.

VAL02: Validation Plans and Documentation

<p style="color: rgb(51, 51, 51); font-size: var(--font-size); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(51, 51, 51);"><span style="color: rgb(51, 51, 51); box-sizing: border-box;" id="isPasted" fr-original-style="color: rgb(51, 51, 51);">Validation of equipment, services, systems and processes is vitally important in the medicines and healthcare products industries. Regulatory authorities require documented evidence that manufacturing processes will consistently result in products meeting predetermined quality standards. This module provides an introduction to validation and to the regulations and guidance that apply to it. It describes the activities of a typical validation team as they carry out a project for a pharmaceutical company.</span></p>

Validation of equipment, services, systems and processes is vitally important in the medicines and healthcare products industries. Regulatory authorities require documented evidence that manufacturing processes will consistently result in products meeting predetermined quality standards. This module provides an introduction to validation and to the regulations and guidance that apply to it. It describes the activities of a typical validation team as they carry out a project for a pharmaceutical company.

VAL01: Introduction to Validation

Getreskilled (UK)

Take our part-time online “Conversion Course into Pharmaceutical Manufacturing“
NO Previous Industry Experience or Science Qualifications Required

Pharmaceutical Validation Training Course (ONLINE)  – For More Senior Validation, CQV and C&Q Roles

Full Price

1/10 Monthly Instalments

Only available if you’ve GMP Pharmaceutical Manufacturing Experience

Reduced Price After Skipping First 5 Weeks

START within 24 working hours upon receipt of payment. Complete this program in 15 days.

15 Day Fast Track Option

<p style="color: rgb(51, 51, 51); font-size: var(--font-size); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(51, 51, 51);"><span style="color: rgb(51, 51, 51); box-sizing: border-box;" id="isPasted" fr-original-style="color: rgb(51, 51, 51);">Manufacturers of medicines and healthcare products must establish, validate and maintain an equipment cleaning programme. This is a regulatory requirement because validated cleaning procedures contribute to the assurance of product purity and safety. This module provides a comprehensive account of equipment cleaning validation requirements and procedures. It follows the work of a pharmaceutical company&#39;s validation team as they establish and validate the cleaning program for a new production line.</span></p>

Manufacturers of medicines and healthcare products must establish, validate and maintain an equipment cleaning programme. This is a regulatory requirement because validated cleaning procedures contribute to the assurance of product purity and safety. This module provides a comprehensive account of equipment cleaning validation requirements and procedures. It follows the work of a pharmaceutical company's validation team as they establish and validate the cleaning program for a new production line.

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