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In this course, you will learn full-stack web development with React JS for the frontend and Python Django for the backend. You will learn and explore various databases such as Microsoft SQL Server, MySQL, MongoDB, PostgreSQL, and SQLite.

Overview The 'Forensic Anthropology: Skeletal Analysis' course offers an excellent opportunity to step into a dynamic field where history, biology, and law intertwine. The forensic science market is expected to reach $19.5 billion by 2025, so this course positions you at the forefront of a rapidly expanding industry.  Diving into the depths of human osteology, students will uncover the secrets bones hold, applying their knowledge to real-world scenarios in criminal and historical investigations. This comprehensive course is not just a study program; it's a gateway to understanding the silent narratives of skeletal remains, blending science with the pursuit of justice. Enrol now in 'Forensic Anthropology: Skeletal Analysis' and step into a future where your skills uncover the silent stories of the past. 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 Forensic Anthropology: Skeletal Analysis. It is available to all students, of all academic backgrounds. Requirements Our Forensic Anthropology: Skeletal Analysis is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 14 sections • 38 lectures • 05:51:00 total length •Course outline: 00:05:00 •What is Anthropology?: 00:01:00 •Introduction to Anthropology: 01:08:00 •Forensic Anthropology: 00:01:00 •Role of Forensic Anthropology: 01:05:00 •Human Osteology: 00:01:00 •Supplemental bone identification video lecture: 00:02:00 •Comparative Osteology: 02:15:00 •Supplemental comparative osteology video lecture: 00:04:00 •Estimating sex from skeletal elements: 00:05:00 •Estimating sex from human remains PowerPoint: 03:00:00 •Estimating age at death from skeletal remains: 00:01:00 •Estimate age at death PowerPoint: 02:45:00 •Supplemental age estimation video lecture: 00:04:00 •Supplemental age estimation video lecture number 2: 00:02:00 •Estimating Stature, BMI, and MNI: 00:01:00 •Estimating stature, BMI, and MNI PowerPoint: 00:35:00 •Estimating ancestry: 00:02:00 •Estimating ancestry PowerPoint: 01:35:00 •Supplemental ancestry estimation video lecture: 00:04:00 •Analyzing trauma: 00:01:00 •How does trauma present on the skeleton; Projectile trauma: 03:05:00 •Sharp force trauma: 00:40:00 •Blunt force trauma: 01:05:00 •Supplemental trauma analysis video lecture: 00:05:00 •Writing it up! How to produce a professional report: 00:01:00 •Writing it up PowerPoint presentation: 00:45:00 •Ethical considerations: 00:01:00 •Physical anthropology code of ethics: 00:55:00 •Forensic anthropology code of ethics: 00:10:00 •Ethical code for human rights work: 07:55:00 •Sex estimation exercise key: 00:15:00 •Age estimation exercise key: 00:05:00 •Ancestry estimation exercise key: 00:15:00 •Bone identification exercise key: 00:15:00 •Trauma exercise key: 00:20:00 •Supplemental textbook recommendations video: 00:02:00 •Human Osteology and Skeletal Biology: 01:00:00

In this course, we will learn about the future's technology called WebRTC by building two real-world chat applications. We will learn what is WebRTC, why it is important, how it works, and cover the different protocols used in WebRTC. A basic understanding of HTML, CSS, and JavaScript is required.

Overview Uplift Your Career & Skill Up to Your Dream Job - Learning Simplified From Home! Kickstart your career & boost your employability by helping you discover your skills, talents, and interests with our special Big Data Analytics with PySpark Power BI and MongoDB 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 that employers are looking for in today's workplaces. The Big Data Analytics with PySpark Power BI and MongoDB Course is one of the most prestigious training offered at Skillwise and is highly valued by employers for good reason. This Big Data Analytics with PySpark Power BI and MongoDB 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. This Big Data Analytics with PySpark Power BI and MongoDB Course, like every one of Skillwise'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. At Skillwise, we don't just offer courses; we also provide a valuable teaching process. When you buy a course from Skillwise, you get unlimited Lifetime access with 24/7 dedicated tutor support. Why buy this Big Data Analytics with PySpark Power BI and MongoDB? Unlimited access to the course forever Digital Certificate, Transcript, and student ID are all included in the price Absolutely no hidden fees Directly receive CPD Quality Standard-accredited qualifications after course completion Receive one-to-one assistance every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Big Data Analytics with PySpark Power BI and MongoDB 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. Who is this course for? This Big Data Analytics with PySpark Power BI and MongoDB course is ideal for Students Recent graduates Job Seekers Anyone interested in this topic People already working in the relevant fields and want to polish their knowledge and skills. Prerequisites This Big Data Analytics with PySpark Power BI and MongoDB does not require you to have any prior qualifications or experience. You can just enroll and start learning. This Big Data Analytics with PySpark Power BI and MongoDB 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. Career path As this course comes with multiple courses included as a bonus, you will be able to pursue multiple occupations. This Big Data Analytics with PySpark Power BI and MongoDB is a great way for you to gain multiple skills from the comfort of your home.   Section 01: Introduction Introduction 00:10:00 Section 02: Setup and Installations Python Installation 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 Section 03: Data Processing with PySpark and MongoDB 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 Section 04: Machine Learning with PySpark and MLlib Data Pre-processing 00:19:00 Building the Predictive Model 00:12:00 Creating the Prediction Dataset 00:08:00 Section 05: Creating the Data Pipeline Scripts Installing Visual Studio Code 00:03:00 Creating the PySpark ETL Script 00:22:00 Creating the Machine Learning Script 00:24:00 Section 06: Tableau Data Visualization Installing Tableau 00:03:00 Installing MongoDB ODBC Drivers 00:03:00 Creating a System DSN for MongoDB 00:04:00 Loading the Data Sources 00:04:00 Creating a Geo Map 00:11:00 Creating a Bar Chart 00:03:00 Creating a Magnitude Chart 00:07:00 Creating a Table Plot 00:06:00 Creating a Dashboard 00:07:00 Source Code Source Code and Notebook

Duration 5 Days 30 CPD hours This course is intended for Experienced system administrators and system integrators responsible for using the advanced features of vRealize Automation in enterprise deployments. Overview By the end of the course, you should be able to meet the following objectives Describe and configure the vRealize Automation in a clustered enterprise deployment using VMware vRealize Suite Lifecycle Manager™ Scale VMware Identity Manager™ to support High Availability. Configure security certificates in vRealize Automation from external Certificate Authorities. Describe the clustered deployment architecture, including Kubernetes pods and services. Create and configure advanced blueprints with complex YAML and cloudConfig. Use vRealize Automation advanced blueprints to deploy an actual 2-tier DB-Server using MySQL and phpMyAdmin. Practice troubleshooting techniques with advanced YAML blueprints in vRealize Automation. Use advanced VMware NSX-TTM Data Center networking features including NAT, routed networks, load balancers, security groups, and tags. Use VMware Code Stream™ to integrate vRealize Automation with Kubernetes. Create Code Stream pipelines. Create and use Ansible playbooks that integrate with vRealize Automation. Configure vRealize Automation to integrate with Puppet. Configure and use ABX actions to create day-2 actions and interface with PowerShell scripts. Use vracli commands, log files, and VMware vRealize Log Insight™ to troubleshoot vRealize Automation and vRealize Automation deployments. This five-day course is a follow-on to the VMware vRealize© Automation? Install, Configure, Manage course. In this course you go deeper into the advanced features of vRealize Automation to deploy user systems and interface vRealize Automation with other platforms and you learn how to deploy an enterprise-level cluster environment using LCM. This course relies heavily on hands-on labs. Course Introduction Introductions and course logistics Course objectives vRealize Automation Clustered Deployment Use LCM in a clustered deployment Configure External Certificates Configure NSX-T Data Center load balancer Install vRealize Automation using Clustered Deployment Scale VMware Identity Manager to support High Availability vRealize Automation Clustered Deployment Architecture List of Kubernetes Pods The vRealize Automation Kubernetes Architecture Relationship of Kubernetes Pods to Services Logs and their locations Blueprint deployment workflow with Kubernetes Service interaction Backup strategies and potential problems Advanced Blueprints Use advanced YAML and cloudConfig to deploy a functioning 2-tier application with a phpMyAdmin front-end server and a MySQL database server Use troubleshooting techniques to debug problems in advanced YAML blueprints List the log files that can aid in troubleshooting blueprint deployment Advanced Networking Use VMware NSX-T Data Center advanced features in blueprints Interfacing to IPAMs Use NSX-T Data Center NAT in blueprints Use NSX-T Data Center routed networks Use NSX-T Data Center load balancers Use NSX-T Data Center security groups Use tags with NSX-T Data Center network profiles Using vRealize Orchestrator Create Day-2 Actions with vRealize Orchestrator workflows Troubleshoot vRealize Orchestrator cluster issues Use vRealize Orchestrator to add computer objects to Active Directory when vRealize Automation deploys blueprints Use a tagging approach to vRealize Orchestrator workflows Use dynamic forms with vRealize Orchestrator Using ABX Actions Determine when to use ABX and when to use vRealize Orchestrator Use ABX to create day-2 Actions Call PowerShell from ABX Kubernetes Integration Create a Kubernetes namespace from vRealize Automation Connect to an existing Kubernetes cluster Automate the deployment of an application to a Kubernetes cluster with Code Stream Use Kubernetes in Extensibility Code Stream Create and use CI/CD pipelines Use the Code Stream user interface Add states and tasks to a Code Stream pipeline Integrate code from Code Stream with Git Using GitLab Integration Configure the GitLab Integration Use Gitlab with blueprints Configuration Management Describe the use case of Ansible and Ansible Tower Connect to Ansible Tower Use Ansible playbooks Use Puppet in configuration management Troubleshooting vracli commands and when to use them Check the status of Kubernetes pods and services Correct the state of pods and services Diagnose and solve vRealize Automation infrastructure problems Diagnose and solve vRealize Automation failures to deploy blueprints and services Use vRealize Log Insight for troubleshooting Additional course details:Notes Delivery by TDSynex, Exit Certified and New Horizons an VMware Authorised Training Centre (VATC) Nexus Humans VMware vRealize Automation: Advanced Features and Troubleshooting [v8.x] training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the VMware vRealize Automation: Advanced Features and Troubleshooting [v8.x] course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

This course aims to teach the programming language C++ with an emphasis on the modern features introduced in C++17. The course will cover both old and new concepts in C++, including classes, operator overloading, inheritance, polymorphism, templates, and concurrency. By the end of the course, the students will have gained the knowledge needed to become proficient C++ developers.

Learn how to style HTML components with CSS3 to build websites and web pages that are visually appealing from beginning to end. Those who want to learn CSS should take this course.

Strengthen your command over C language

Course Overview Machine learning as a programming technique has shaped the future of technology. In this course, you will learn how to build intelligent handwriting recognition apps from scratch using Python and Core ML. The Machine Learning for Apps Level 4 course will teach you how to take advantage of machine learning to code like a pro and build incredible apps that can make predictions. Designed by industry experts, it covers best practices for managing projects, core concepts for creating your own ML model, building a convolutional neural network, and much more. On successful completion, you will be able to build an amazing handwriting recognition app and convolutional neural network from scratch, and have an in-depth understanding of the core ML basics. This course is ideal for those with a basic understanding of iOS development. This best selling Machine Learning for Apps Level 4 has been developed by industry professionals and has already been completed by hundreds of satisfied students. This in-depth Machine Learning for Apps Level 4 is suitable for anyone who wants to build their professional skill set and improve their expert knowledge. The Machine Learning for Apps Level 4 is CPD-accredited, so you can be confident you're completing a quality training course will boost your CV and enhance your career potential. The Machine Learning for Apps Level 4 is made up of several information-packed modules which break down each topic into bite-sized chunks to ensure you understand and retain everything you learn. After successfully completing the Machine Learning for Apps Level 4, you will be awarded a certificate of completion as proof of your new skills. If you are looking to pursue a new career and want to build your professional skills to excel in your chosen field, the certificate of completion from the Machine Learning for Apps Level 4 will help you stand out from the crowd. You can also validate your certification on our website. We know that you are busy and that time is precious, so we have designed the Machine Learning for Apps Level 4 to be completed at your own pace, whether that's part-time or full-time. Get full course access upon registration and access the course materials from anywhere in the world, at any time, from any internet-enabled device.  Our experienced tutors are here to support you through the entire learning process and answer any queries you may have via email.

An affordable way for developers to develop skills in technical writing Cherryleaf's Technical Writing for Developers e-learning course teaches the basics of technical writing to developers who are writing documentation. It teaches you how to write clearer technical documentation, plus topics such as creating sample code, tutorials, images and diagrams. The course will improve your technical writing skills. You’ll gain confidence you’re approaching each writing project in the right way, and creating content that follows best practice. Who are these courses for? The courses have been designed for: Software engineers Software engineering students In addition, other people involved in software development (such as product managers) can benefit from these courses, especially if they: Want to communicate more clearly and effectively Want to know how little, or how much, they should write Struggle with planning their writing Want people to answer their own support questions Prerequisites Delegates need to have basic writing proficiency in English. What will I learn? You’ll learn: How to communicate clearly, even if writing doesn’t come naturally How to save time and write in an efficient way Confidence in the work you produce You’ll have access to a framework and templates to help you with your writing. You can also get feedback on your completed exercises. Course duration The course typically takes 1 to 1.5 days to complete, but you can go at the pace that suits you. Your Instructor Cherryleaf Cherryleaf is a technical writing services company formed in 2002 by people with a passion for technical communication and learning development. Cherryleaf is recognised as a leader within the technical communication profession. Our staff have written articles for the Society for Technical Communication's (STC) Intercom magazine, the Institute of Scientific and Technical Communicator's Communicator journal and tekom's TCWorld magazine. They've also written books on technical communication. We've presented webinars for Adobe, Madcap Software or the STC, and we've spoken at various conferences around the world. Today, organisations throughout Europe use Cherryleaf’s services so they can provide clear information that enables users and staff to complete tasks productively. Course Curriculum First Section Introduction (0:52) Writing clearly (24:47) Writing headings, lists, and links (7:00) Structuring the information (13:12) Planning and outlining your writing (7:43) Using Information Types (15:34) Using images and videos (7:58) Writing in Markdown Writing clear code samples (8:22) Reviewing and editing your content (8:40) Summary (1:29) Frequently Asked Questions When does the course start and finish? The course starts now and never ends! It is a completely self-paced online course - you decide when you start and when you finish.How long do I have access to the course?How does lifetime access sound? After enrolling, you have unlimited access to this course for as long as you like - across any and all devices you own.What if I am unhappy with the course?We would never want you to be unhappy! If you are unsatisfied with your purchase, contact us in the first 30 days and we will give you a full refund.