Duration 5 Days 30 CPD hours This course is intended for Channel Partner/Reseller Customer Employee Overview Upon completing this course, the learner will be able to meet these overall objectives: Demonstrate advanced proficiency with add / move / change of the ACD / PBX (agent / skill) environment of UCCE. Demonstrate advanced proficiency with add / move / change of the IVR (prompt / collect) environment of UCCE including both MicroApp and VXML solution scripting (ICM Scripting and Call Studio scripting). Demonstrate effective use of system tools to track and troubleshoot a call within a call flow. The Administering Cisco Unified Contact Center Enterprise Part 2 (AUCCE2) v2.0 is a 5 day instructor-led course presented by training partners to system engineers and customers who will be involved with Day 2 support of a UCCE solution deployed in a CVP comprehensive environment. This course gives the learner an understanding of the requirements, resources and tools required to perform complex adds, moves and changes in the inbound/outbound UCCE environment. This course is intended for those performing advanced administration of the solution, or who may be responsible for Level 2-3 support of the solution. The overall goal of this course is advanced administration of the solution by a deeper exposure into the technical operational requirements and the tools used to configure and ensure functionality. Course Outline Module 1: Cisco Unified Contact Center Enterprise v10 Overview Module 2: CCE Config and Scripting Module 3: CCE (ICM) Advanced Scripting Module 4: Advanced VXML Functionality Module 5: Supporting CCE
Starting with the basics, such as variables and operators, to advanced concepts, such as inheritance and encapsulation, this course covers the entire spectrum to help you gain the skills needed to start developing applications in TypeScript.
Inspiration and a passion for creativity are great starting points, but to be a truly brilliant artist, you need to have a solid understanding of the practical skills necessary to turn your vision into a reality. Divided into six fantastic modules, this Diploma in Art and Painting course utilises our innovative online learning platform to teach you everything you need to know, from choosing your brushes, materials and studio set up to the basic elements of light, shadow and shading, mixed media applications and perspective. This course also includes modules on marketing your work, allowing you to put together an effective portfolio and create flyers and business cards to grab people's attention and market yourself as an expert painter or artist. Why choose this course Earn a digital Certificate upon successful completion. Accessible, informative modules taught by expert instructors Study in your own time, at your own pace, through your computer tablet or mobile device Benefit from instant feedback through mock exams and multiple-choice assessments Get 24/7 help or advice from our email and live chat teams Full Tutor Support on Weekdays Course Design The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace. You are taught through a combination of Online study materials Assignment Certificate of Achievement Endorsed Certificate of Achievement from the Quality Licence Scheme Once the course has been completed and the assessment has been passed, all students are entitled to receive an endorsed certificate. This will provide proof that you have completed your training objectives, and each endorsed certificate can be ordered and delivered to your address for only £109. Please note that overseas students may be charged an additional £10 for postage. CPD Certificate of Achievement from Janets Upon successful completion of the course, you will be able to obtain your course completion e-certificate. Print copy by post is also available at an additional cost of £9.99 and PDF Certificate at £4.99. Endorsement This course and/or training programme has been endorsed by the Quality Licence Scheme for its high-quality, non-regulated provision and training programmes. This course and/or training programme is not regulated by Ofqual and is not an accredited qualification. Your training provider will be able to advise you on any further recognition, for example progression routes into further and/or higher education. For further information please visit the Learner FAQs on the Quality Licence Scheme website. Method of Assessment To successfully complete the course, students will have to take an automated multiple-choice exam. This exam will be online and you will need to score 60% or above to pass the course. After successfully passing the exam, you will be able to apply for a Quality Licence Scheme endorsed certificate of achievement. To verify your enhanced skills in the subject, we recommend that you also complete the assignment questions. These can be completed at any time which is convenient for yourself and will be assessed by our in-house specialised tutors. Full feedback will then be given on your current performance, along with any further advice or support. Who is this course for? Diploma in Art and Painting is suitable for anyone who wants to gain extensive knowledge, potential experience and expert skills in the related field. This is a great opportunity for all students from any academic backgrounds to learn more on this subject. Course Content Module-1 Painting 101 00:30:00 Understanding Paints 00:30:00 Choosing Your Brushes 00:30:00 Color Your World 00:30:00 Light Sources in Painting 00:30:00 What type of painter are you? 00:30:00 Module-2 Choosing A Subject 01:00:00 Setting Up Your Studio 00:30:00 Art Supply Resources 01:00:00 Clean Up Time 00:30:00 Free Art Lessons 00:30:00 Take Care of Your Creation 00:15:00 Module-3 Pay Attention to Detail 01:00:00 Enjoy Your Subject 01:00:00 Frequently Asked Questions 00:30:00 Art Schools 00:30:00 Museums of Fine Art 00:15:00 One Final Word 01:00:00 Module-4 INTRODUCTION 01:00:00 BRIEF HISTORY OF PENCIL DRAWING 00:15:00 GETTING STARTED 01:00:00 LEARNING THE BASICS OF DRAWING AND SKETCHING 01:00:00 Basic Perspectives on Drawing 01:00:00 Basic Elements of Light, Shadows, and Shading 01:00:00 Different Shading Techniques 00:15:00 How to Add Tones and Values? 00:30:00 FINISHING TOUCHES 00:30:00 MIXED MEDIA APPLICATIONS 01:00:00 Drawing with Pencils in Oil Painting 01:00:00 CONCLUSION 00:15:00 Module-5 Start Your Own Art Business 00:15:00 Steps to Creating a Successful Business from Your Art 01:00:00 How to Write an Artist Business Plan 00:30:00 Module-6 Introduction 00:30:00 Incorporate Your Business 01:00:00 Employing Or Contracting - What Is The Difference? 00:30:00 From Where Can You Hire Workers 01:00:00 Getting Insurance 00:30:00 Getting Ready - Portfolios, Flyers And Cards 00:30:00 What Do You Need For Outdoor Painting 01:00:00 What Do You Need To Know About Indoor Painting 01:00:00 Fancy Indoor Painting Touches - How To Get Them 00:30:00 Paint Primer 101 01:00:00 How To Get Customers 01:00:00 The Non-Paying Customers! 00:30:00 Mock Exam Mock Exam- Diploma in Art and Painting 00:20:00 Final Exam Final Exam- Diploma in Art and Painting 00:20:00 Recommended Materials Workbook - Diploma in Art and Painting 1 week, 2 days Assignment Assignment - Diploma in Art and Painting 6 days, 4 hours Order Your Certificate Order your Certificate QLS 00:00:00 Frequently Asked Questions Are there any prerequisites for taking the course? There are no specific prerequisites for this course, nor are there any formal entry requirements. All you need is an internet connection, a good understanding of English and a passion for learning for this course. Can I access the course at any time, or is there a set schedule? You have the flexibility to access the course at any time that suits your schedule. Our courses are self-paced, allowing you to study at your own pace and convenience. How long will I have access to the course? For this course, you will have access to the course materials for 1 year only. This means you can review the content as often as you like within the year, even after you've completed the course. However, if you buy Lifetime Access for the course, you will be able to access the course for a lifetime. Is there a certificate of completion provided after completing the course? Yes, upon successfully completing the course, you will receive a certificate of completion. This certificate can be a valuable addition to your professional portfolio and can be shared on your various social networks. Can I switch courses or get a refund if I'm not satisfied with the course? We want you to have a positive learning experience. If you're not satisfied with the course, you can request a course transfer or refund within 14 days of the initial purchase. How do I track my progress in the course? Our platform provides tracking tools and progress indicators for each course. You can monitor your progress, completed lessons, and assessments through your learner dashboard for the course. What if I have technical issues or difficulties with the course? If you encounter technical issues or content-related difficulties with the course, our support team is available to assist you. You can reach out to them for prompt resolution.
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This Data Analysis with Data Science & Machine Learning Bundle Consists of the following Premium courses: Course 01: Introduction to Data Analysis Course 02: Data Analytics with Tableau Course 03: Complete Google Analytics Course Course 04: Python for Data Analysis Course 05: Quick Data Science Approach from Scratch Course 06: R Programming for Data Science Course 07: Learn MySQL from Scratch for Data Science and Analytics Course 08: Master JavaScript with Data Visualization Course 09: Excel Data Analysis Course 10: Statistics & Probability for Data Science & Machine Learning Course 11: Root Cause Analysis Course 12: Google Data Studio: Data Analytics Course 13: Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query Course 14: Business Intelligence and Data Mining Masterclass Learning Outcomes: Develop a solid understanding of data analysis techniques. Learn how to collect, manage, and manipulate data effectively. Gain knowledge in the programming languages commonly used in data analysis, such as Python and R. Become proficient in data visualisation and presentation. Develop an understanding of machine learning algorithms and their application in data analysis. Learn how to use various data analysis software, including Tableau and Google Analytics. The Data Analysis with Data Science & Machine Learning bundle includes a variety of courses aimed at providing theoretical knowledge in the field of data analysis. The bundle covers a wide range of topics, starting with the basics of data analysis such as data cleaning, exploration, and visualisation. 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Course Curriculum: Data Analysis with Data Science & Machine Learning Module 01: Introduction Module 02: Agenda and Principles of Process Management Module 03: The Voice of the Process Module 04: Working as One Team for Improvement Module 05: Exercise: The Voice of the Customer Module 06: Tools for Data Analysis Module 07: The Pareto Chart Module 08: The Histogram Module 09: The Run Chart Module 10: Exercise: Presenting Performance Data Module 11: Understanding Variation Module 12: The Control Chart Module 13: Control Chart Example Module 14: Control Chart Special Cases Module 15: Interpreting the Control Chart Module 16: Control Chart Exercise Module 17: Strategies to Deal with Variation Module 18: Using Data to Drive Improvement Module 19: A Structure for Performance Measurement Module 20: Data Analysis Exercise Module 21: Course Project Module 22: Test your Understanding CPD 140 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Professionals seeking to upskill and enhance their data analysis knowledge and abilities. Individuals interested in pursuing a career in data analysis, data science or machine learning. Business owners or entrepreneurs looking to gain insights into their data and make data-driven decisions. Students or recent graduates seeking to gain valuable experience and knowledge in data analysis. Anyone looking to expand their knowledge and understanding of data analysis and its useful applications. Requirements This Data Analysis with Data Science & Machine Learning course has been designed to be fully compatible with tablets and smartphones. Career path Data Analyst: £24k-£42k per annum. Business Intelligence Analyst: £25k-£60k per annum. Data Scientist: £27k-£65k per annum. Machine Learning Engineer: £28k-£80k per annum. Business Analyst: £24k-£52k per annum. Certificates Certificate of completion Digital certificate - Included Certificate of completion Hard copy certificate - £10 You will get the Hard Copy certificate for the Data Analysis with Data Science & Machine Learning course absolutely Free! Other Hard Copy certificates are available for £10 each. Please Note: The delivery charge inside the UK is £3.99, and the international students must pay a £9.99 shipping cost.
Overview This comprehensive course on ASP.Net MVC and Entity Framework will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This ASP.Net MVC and Entity Framework 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 ASP.Net MVC and Entity Framework. It is available to all students, of all academic backgrounds. Requirements Our ASP.Net MVC and Entity Framework 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 5 sections • 22 lectures • 06:17:00 total length •Module 01: Install Visual Studio Community Edition: 00:02:00 •Module 02: Create ASP.Net MVC Project: 00:04:00 •Module 03: Setup Database: 00:06:00 •Module 04: Add Entity Framework Data Model: 00:06:00 •Module 05: Tour of Folder Structure and How to Add Views: 00:23:00 •Module 06: Scaffolding: Adding Controller and Views: 00:35:00 •Module 07: Managing Database Changes: 00:14:00 •Module 08: Customizing a View - Bootstrap: 00:20:00 •Module 09: Customizing a View - Additional Data: 00:09:00 •Module 10: Add Data Validations to Forms: 00:31:00 •Module 01: Understanding Authentication Functionality: 00:05:00 •Module 02: Adding User Data Points: 00:30:00 •Module 03: Control User Access: 00:07:00 •Module 04: Adding Roles and Authorizations: 00:37:00 •Module 01: Add Project to GitHub: 00:12:00 •Module 02: Understanding Package Management: 00:08:00 •Module 01: Add Lecturer and Enrollment Management Modules: 00:14:00 •Module 02: Install JQueryUI Javascript Libraries: 00:12:00 •Module 03: Implement JQueryUI Autocomplete: 00:35:00 •Module 04: Create an JQuery/Ajax Form: 00:34:00 •Module 05: Partial View and Data Refresh: 00:33:00 •Resources - ASP.Net MVC and Entity Framework: 00:00:00
Overview This comprehensive course on Building Big Data Pipelines with PySpark MongoDB and Bokeh will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Building Big Data Pipelines with PySpark MongoDB and Bokeh 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 Building Big Data Pipelines with PySpark MongoDB and Bokeh. It is available to all students, of all academic backgrounds. Requirements Our Building Big Data Pipelines with PySpark MongoDB and Bokeh 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 7 sections • 25 lectures • 05:04:00 total length •Introduction: 00:10:00 •Python Installation: 00:03:00 •Installing Third Party Libraries: 00:03:00 •Installing Apache Spark: 00:12:00 •Installing Java (Optional): 00:05:00 •Testing Apache Spark Installation: 00:06:00 •Installing MongoDB: 00:04:00 •Installing NoSQL Booster for MongoDB: 00:07:00 •Integrating PySpark with Jupyter Notebook: 00:05:00 •Data Extraction: 00:19:00 •Data Transformation: 00:15:00 •Loading Data into MongoDB: 00:13:00 •Data Pre-processing: 00:19:00 •Building the Predictive Model: 00:12:00 •Creating the Prediction Dataset: 00:08:00 •Loading the Data Sources from MongoDB: 00:17:00 •Creating a Map Plot: 00:33:00 •Creating a Bar Chart: 00:09:00 •Creating a Magnitude Plot: 00:15:00 •Creating a Grid Plot: 00:09:00 •Installing Visual Studio Code: 00:05:00 •Creating the PySpark ETL Script: 00:24:00 •Creating the Machine Learning Script: 00:30:00 •Creating the Dashboard Server: 00:21:00 •Source Code and Notebook: 00:00:00
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We'll refund your investment if you're unsatisfied with your learning experience. Lifetime Access: When you choose to learn with us, you gain access to a course and a lifetime of knowledge. We offer lifetime access to our course materials, allowing you to revisit and refresh your knowledge whenever you need. 24/7 Support: Learning doesn't just happen during traditional working hours; neither should support. Our commitment to your success extends beyond the classroom. We provide 24/7 support, so you can contact us with your questions and concerns anytime. CPD 250 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This IT: Data Analysis, Data Science & Data Protection program is suitable for: Aspiring IT: Data Analysis, Data Science & Data Protection professionals. Students and recent graduates looking to enter the field. Career changers interested in data analytics. Security professionals seeking to upskill in data security. Anyone interested in learning about IT: Data Analysis, Data Science & Data Protection. Requirements No prior experience is required in our IT: Data Analysis, Data Science & Data Protection program. Career path Upon completing the program, you'll get edges in various IT: Data Analysis, data science & data protection-related jobs including: Data Analyst: £25,000 - £45,000 Business Intelligence Analyst: £30,000 - £50,000 Data Scientist: £35,000 - £60,000 Machine Learning Engineer: £40,000 - £70,000 SQL Developer: £30,000 - £55,000 Tableau Developer: £35,000 - £60,000 Power BI Developer: £35,000 - £60,000 Certificates CPD Accredited (e-Certificate) Digital certificate - Included CPD Accredited (Hard Copy Certificate) Hard copy certificate - Included e-Transcript Digital certificate - Included Hard Copy Transcript Hard copy certificate - Included Student ID Card Digital certificate - Included
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