999 Courses in Bristol delivered Online

Getting Started The Level 7 Diploma in Data Science empowers learners to formulate research hypotheses, effectively organize, analyze, and visualize data, unveiling innovative solutions that can challenge conventional business assumptions. It aims to support organizations and their managers in critical decision-making by applying various data science techniques and models. The Qualifi Level 7 Diploma in Data Science offers learners the opportunity to: Obtain a globally recognized qualification from a prestigious awarding organization. Access an up-to-date curriculum aligned with the latest developments in the contemporary business landscape. Acquire new skills and knowledge directly applicable to data science and analytics. Benefit from assessments that are evaluated and moderated by respected academic and industry professionals with hands-on experience in data science and analytics. Progress along a pathway toward pursuing a Master's degree or higher qualifications. Key Benefits Attain comprehensive mathematical and statistical expertise for advanced data analysis. Master programming in R, Python, and SQL for proficient data analysis. Develop strong data management skills, including data evaluation, structuring, and cleaning. Learn effective data visualization techniques and tools. Gain a deep understanding of classical data analytics, covering statistical inference, predictive modelling, time series analysis, and data reduction. Apply common machine learning techniques to solve business and other real-world problems. Grasp essential concepts from contemporary business themes. Apply data science and analytics effectively within business and organizational contexts. Key Highlights Remember! The assessment for the qualification is done based on assignments only, and you do not need to worry about writing any exam. With the School of Business and Technology London, you can complete the qualification at your own pace, choosing online or blended learning from the comfort of your home. Learning and pathway materials and study guides developed by our QUALIFI-approved tutors will be available around the clock in our cutting-edge learning management system. Most importantly, at the School of Business and Technology London, we will provide comprehensive tutor support through our dedicated support desk. If you choose your course with blended learning, you will also enjoy live sessions with an assigned tutor, which you can book at your convenience.   Career Pathways Progress along a pathway to gain a Master's degree or beyond. About Awarding Body QUALIFI, recognised by Ofqual awarding organisation has assembled a reputation for maintaining significant skills in a wide range of job roles and industries which comprises Leadership, Hospitality & Catering, Health and Social Care, Enterprise and Management, Process Outsourcing and Public Services. They are liable for awarding organisations and thereby ensuring quality assurance in Wales and Northern Ireland. What is included? Outstanding tutor support that gives you supportive guidance all through the course accomplishment through the SBTL Support Desk Portal. Access our cutting-edge learning management platform to access vital learning resources and communicate with the support desk team. Quality learning materials such as structured lecture notes, study guides, and practical applications, which include real-world examples and case studies, will enable you to apply your knowledge. Learning materials are provided in one of the three formats: PDF, PowerPoint, or Interactive Text Content on the learning portal. The tutors will provide Formative assessment feedback to improve the learners' achievements. Assessment materials are accessible through our online learning platform. Supervision for all modules. Multiplatform accessibility through an online learning platform facilitates SBTL in providing learners with course materials directly through smartphones, laptops, tablets or desktops, allowing students to study at their convenience. Live Classes (for Blended Learning Students only) Assessment Time-constrained scenario-based assignments No examinations Entry Requirements Possess a minimum of a Level 6 qualification in a related sector. Hold a Bachelor's degree. Demonstrate at least three years of relevant work experience showcasing current and pertinent industry knowledge. Individuals with substantial practical experience but lacking formal qualifications may also be considered in exceptional cases. Their eligibility will be determined through an interview process, where they must demonstrate their capacity to meet the program's demands Progression Upon completing the QUALIFI Level 7 Diploma in Data Science, learners have several promising progression pathways: QUALIFI Level 7 and/or 8 Diploma: Graduates can advance their education and expertise by enrolling in a QUALIFI Level 7 and/or Level 8 Diploma, which offers higher-level qualifications in their chosen field. Direct Employment in an Associated Profession: Learners can enter the workforce directly, securing employment in professions related to data science, analytics, and other relevant areas, applying their newly acquired skills and knowledge. Pursue a Master's Degree Dissertation: Graduates also have the option to undertake an appropriate dissertation-only program for a Master's Degree at one of QUALIFI's university partnerships. This pathway allows them to specialize further and advance their academic qualifications. Why gain a QUALIFI Qualification? This suite of qualifications provides enormous opportunities to learners seeking career and professional development. The highlighting factor of this qualification is that: The learners attain career path support who wish to pursue their career in their denominated sectors; It helps provide a deep understanding of the health and social care sector and managing the organisations, which will, in turn, help enhance the learner's insight into their chosen sector. The qualification provides a real combination of disciplines and skills development opportunities. The Learners attain in-depth awareness concerning the organisation's functioning, aims and processes. They can also explore ways to respond positively to this challenging and complex health and social care environment. The learners will be introduced to managing the wide range of health and social care functions using theory, practice sessions and models that provide valuable knowledge. As a part of this suite of qualifications, the learners will be able to explore and attain hands-on training and experience in this field. Learners also acquire the ability to face and solve issues then and there by exposure to all the Units. The qualification will also help to Apply scientific and evaluative methods to develop those skills. Find out threats and opportunities. Develop knowledge in managerial, organisational and environmental issues. Develop and empower critical thinking and innovativeness to handle problems and difficulties. Practice judgement, own and take responsibility for decisions and actions. Develop the capacity to perceive and reflect on individual learning and improve their social and other transferable aptitudes and skills. Learners must request before enrolment to interchange unit(s) other than the preselected units shown in the SBTL website because we need to make sure the availability of learning materials for the requested unit(s). SBTL will reject an application if the learning materials for the requested interchange unit(s) are unavailable. Learners are not allowed to make any request to interchange unit(s) once enrolment is complete. To know about the Qualification Structure, please get in touch with us at: admission@sbusinesslondon.ac.uk Delivery Methods School of Business & Technology London provides various flexible delivery methods to its learners, including online learning and blended learning. Thus, learners can choose the mode of study as per their choice and convenience. The program is self-paced and accomplished through our cutting-edge Learning Management System. Learners can interact with tutors by messaging through the SBTL Support Desk Portal System to discuss the course materials, get guidance and assistance and request assessment feedbacks on assignments. We at SBTL offer outstanding support and infrastructure for both online and blended learning. We indeed pursue an innovative learning approach where traditional regular classroom-based learning is replaced by web-based learning and incredibly high support level. Learners enrolled at SBTL are allocated a dedicated tutor, whether online or blended learning, who provide learners with comprehensive guidance and support from start to finish. The significant difference between blended learning and online learning methods at SBTL is the Block Delivery of Online Live Sessions. Learners enrolled at SBTL on blended learning are offered a block delivery of online live sessions, which can be booked in advance on their convenience at additional cost. These live sessions are relevant to the learners' program of study and aim to enhance the student's comprehension of research, methodology and other essential study skills. We try to make these live sessions as communicating as possible by providing interactive activities and presentations. Resources and Support School of Business & Technology London is dedicated to offering excellent support on every step of your learning journey. School of Business & Technology London occupies a centralised tutor support desk portal. Our support team liaises with both tutors and learners to provide guidance, assessment feedback, and any other study support adequately and promptly. Once a learner raises a support request through the support desk portal (Be it for guidance, assessment feedback or any additional assistance), one of the support team members assign the relevant to request to an allocated tutor. As soon as the support receives a response from the allocated tutor, it will be made available to the learner in the portal. The support desk system is in place to assist the learners adequately and streamline all the support processes efficiently. Quality learning materials made by industry experts is a significant competitive edge of the School of Business & Technology London. Quality learning materials comprised of structured lecture notes, study guides, practical applications which includes real-world examples, and case studies that will enable you to apply your knowledge. Learning materials are provided in one of the three formats, such as PDF, PowerPoint, or Interactive Text Content on the learning portal. How does the Online Learning work at SBTL? We at SBTL follow a unique approach which differentiates us from other institutions. Indeed, we have taken distance education to a new phase where the support level is incredibly high.Now a days, convenience, flexibility and user-friendliness outweigh demands. Today, the transition from traditional classroom-based learning to online platforms is a significant result of these specifications. In this context, a crucial role played by online learning by leveraging the opportunities for convenience and easier access. It benefits the people who want to enhance their career, life and education in parallel streams. SBTL's simplified online learning facilitates an individual to progress towards the accomplishment of higher career growth without stress and dilemmas. How will you study online? With the School of Business & Technology London, you can study wherever you are. You finish your program with the utmost flexibility. You will be provided with comprehensive tutor support online through SBTL Support Desk portal. How will I get tutor support online? School of Business & Technology London occupies a centralised tutor support desk portal, through which our support team liaise with both tutors and learners to provide guidance, assessment feedback, and any other study support adequately and promptly. Once a learner raises a support request through the support desk portal (Be it for guidance, assessment feedback or any additional assistance), one of the support team members assign the relevant to request to an allocated tutor. As soon as the support receive a response from the allocated tutor, it will be made available to the learner in the portal. The support desk system is in place to assist the learners adequately and to streamline all the support process efficiently. Learners should expect to receive a response on queries like guidance and assistance within 1 - 2 working days. However, if the support request is for assessment feedback, learners will receive the reply with feedback as per the time frame outlined in the Assessment Feedback Policy.

Duration 1 Days 6 CPD hours This course is intended for This introductory-level course is great for experienced technical professionals working in a wide range of industries, such as software development, data science, marketing and advertising, finance, healthcare, and more, who are looking to use the latest AI and machine learning techniques in their day to day. The hands-on labs in this course use Python, so you should have some familiarity with Python scripting basics. Overview Working in an interactive learning environment, led by our engaging OpenAI expert you'll: Understand the capabilities and products offered by OpenAI and how to access them through the OpenAI API. set up an OpenAI environment on Azure, including creating an Azure virtual machine and configuring the environment to connect to Azure resources. Gain hands-on experience building a GPT-3 based chatbot on Azure and implement advanced natural language processing capabilities. Use the OpenAI API to access GPT-3 and generate high-quality text Learn how to use Whisper to improve the quality of text generation. Understand the capabilities of DALL-E and use it to generate images for unique and engaging visuals. Geared for technical professionals, Quick Start to Azure AI Basics for Technical Users is a fun, fast paced course designed to quickly get you up to speed with OpenAI?s powerful tools and functionality, and to provide hands-on experience in setting up an OpenAI environment on Azure. Guided by our AI expert, you?ll explore the capabilities of OpenAI's GPT-3, Whisper and DALL-E, and build a chatbot on Azure. It will provide you with the knowledge and resources to continue your journey in AI and machine learning and have a good understanding of the potential of OpenAI and Azure for your projects. First, you?ll dive into the world of OpenAI, learning about its products and the capabilities they offer. You'll also discover how Azure's offerings for AI and machine learning can complement OpenAI's tools and resources, providing you with a powerful combination for your projects. And don't worry if you're new to Azure, we'll walk you through the process of setting up an account and creating a resource group. As you progress through the course, you'll get the chance to work with OpenAI's GPT-3, one of the most advanced large language models available today. You'll learn how to use the OpenAI API to access GPT-3 and discover how to use it to generate high-quality text quickly and easily. And that's not all, you'll also learn how to build a GPT-3 based chatbot on Azure, giving you the opportunity to implement advanced natural language processing capabilities in your chatbot projects. The course will also cover OpenAI Whisper, an OpenAI tool that can improve the quality of text generation, allowing you to create more coherent and natural language content. And you will learn about OpenAI DALL-E, an OpenAI tool that can generate images, giving you the ability to create unique and engaging visuals to enhance your content and projects. Introduction to OpenAI and Azure Explore OpenAI and its products, as well as Azure's offerings for AI and Machine Learning, allowing you to understand the tools and resources available to you for your AI projects. Explore OpenAI and its products Explore Azure and its offerings for AI and Machine Learning Get Hands-On: Setting up an OpenAI environment on Azure Walk through the process of setting up an OpenAI environment on Azure, giving you the hands-on experience needed to start building your own projects using OpenAI and Azure. Create an Azure virtual machine and installing the OpenAI SDK Configure the OpenAI environment and connecting to Azure resources Explore OpenAI GPT-3 Learn about GPT-3, one of OpenAI's most powerful language models, and how to use it to generate high quality text, giving you the ability to create natural language content quickly and easily. Review GPT-3 and its capabilities Use the OpenAI API to access GPT-3 Get Hands-on: Building a GPT-3 based chatbot on Azure Learn how to build a GPT-3 based chatbot on Azure, giving you the opportunity to learn how to implement advanced natural language processing capabilities in your chatbot projects. Setup an Azure Function and creating a chatbot Integrate GPT-3 with the chatbot OpenAI Whisper Explore Whisper, an OpenAI tool that can improve the quality of text generation, allowing you to create more coherent and natural language content. Explore Whisper and its capabilities Use Whisper to improve the quality of text generation OpenAI DALL-E Explore DALL-E, an OpenAI tool that can generate images, giving you the ability to create unique and engaging visuals to enhance your content and projects. Explore DALL-E and its capabilities Use the OpenAI API to access DALL-E What?s Next: Keep Going! Other ways OpenAI can impact your day to day Explore great places to check for expanded tools and add-ons for Azure OpenAI Where to go for help and support Quick Look at Generative AI and its Business Implications Understanding Generative AI Generative AI in Business Ethical considerations of Generative AI

Want to stand out in today’s high-stakes tech job market? The Ethical Hacking Mini Bundle was designed to launch your career in the world’s most security-critical sectors. With in-demand skills in cyber security, GDPR, IT, DevOps, and Python, this bundle positions you for job relevance in government, corporate, and cloud-based roles—where employers are actively hiring and paying well. The future of digital trust depends on cyber security, GDPR, IT, DevOps, and Python. With this bundle, you’ll speak the language of security teams, tech leads, and compliance officers—before someone else gets hired in your place. Description Companies are in a constant arms race to defend their data—and they’re not just looking for qualifications. They want professionals skilled in cyber security, fluent in GDPR, equipped in IT, familiar with DevOps practices, and comfortable using Python. This Ethical Hacking Mini Bundle delivers exactly that, with a sharp eye on employability and relevance. Cyber security isn’t just a buzzword—it’s the backbone of digital safety. Pair it with GDPR compliance and you’re instantly useful in regulated industries. Add IT support expertise, layer in DevOps workflows, and back it all with Python skills, and suddenly you’re not just job-ready—you’re a recruitment magnet. Whether you’re eyeing roles in ethical hacking, infrastructure support, DevOps pipelines, or compliance-based IT systems, employers will prioritise CVs listing cyber security, GDPR, IT, DevOps, and Python. This bundle fast-tracks your entry into tech’s most secure and scalable career paths. In a job market flooded with generic IT applicants, don’t be overlooked—be overqualified. FAQ Q: Who should consider this Ethical Hacking Mini Bundle? A: Anyone aiming for roles in cyber security, GDPR compliance, IT support, DevOps operations, or Python-based automation. Q: What industries does it apply to? A: Tech firms, cloud services, government, fintech, health IT, and any company needing strong cyber security and GDPR oversight. Q: Why are DevOps and Python included? A: DevOps is essential for modern deployment pipelines, and Python is the most used language in automation, scripting, and ethical hacking. Q: Will this help me move into ethical hacking roles? A: Yes—cyber security, IT, Python, GDPR, and DevOps are core pillars in that career path. Q: Is there a high demand for these skills? A: Extremely. Cyber security and GDPR are now regulatory necessities, and DevOps, Python, and IT professionals remain in high demand.

Step into the Android ecosystem with everything today’s app employers demand. The Android App Development: 8-in-1 Premium Online Courses Bundle features in-demand skills: Python, UX, HTML, Website Development, Go Lang, PHP, Javascript, and CSS—a complete toolkit for frontend and backend Android innovation. Every line of code, every layout you build, every user flow you design makes you more attractive to employers. Android hiring is at an all-time high—and this bundle places you on their radar. Learn the languages and frameworks employers are searching for, especially Javascript, Go Lang, CSS, and PHP. Rated 4.8 on 'Reviews.io' and 4.3 on Trustpilot, Compete High has already helped thousands make the leap. It’s your turn. 🧠 Description Android dev hiring managers filter resumes by keywords: JavaScript, Python, UX, Go Lang, HTML, and CSS. So we designed this bundle around those exact skills. Start with Python for problem-solving, build sleek UIs with CSS and HTML, then power your logic with PHP, Javascript, and Go Lang. Want to stand out? Combine visual design (UX, CSS) with dynamic coding (PHP, Javascript, Python). Know how to develop and deploy with Website Development, and optimize experiences with UX strategies and Go Lang efficiency. This isn’t generic training. It’s an Android-specific career weapon. Be the developer companies want—fluent in Python, HTML, CSS, UX, Javascript, and more. ❓ FAQ Q: Why is this bundle Android-specific? A: It focuses on real-world Android skills like JavaScript, UX, HTML, and CSS, while also strengthening core abilities with Python, Go Lang, and PHP—key to full-stack Android apps. Q: Is this suitable for people new to coding? A: Definitely. Whether you're learning HTML, Python, or Go Lang for the first time, the bundle walks you through practical, job-relevant learning. Q: Why does this stand out from other bundles? A: It covers every angle: design (UX, CSS), front-end (HTML, Javascript), back-end (Go Lang, PHP, Python), and infrastructure (Website Development). All in one.

Overview This comprehensive course on Ethical Hacking with Kali Linux will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Ethical Hacking with Kali Linux comes with accredited certification, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this Ethical Hacking with Kali Linux. It is available to all students, of all academic backgrounds. Requirements Our Ethical Hacking with Kali Linux 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 16 sections • 150 lectures • 05:54:00 total length •Introduction to the course: 00:05:00 •Virtual box installation: 00:16:00 •Kali linux installation: 00:14:00 •Enabling full screen: 00:18:00 •Basic commands part 1: 00:10:00 •Basic commands part 2: 00:21:00 •Basic commands part 3: 00:13:00 •Changing ip address and wireless adapter setup: 00:05:00 •Creating a bootable Kali USB drive: 00:05:00 •Essential networking terms: 00:10:00 •Essential hacking terms: 00:18:00 •Additional kali tools to install: 00:09:00 •Changing our MAC address with mac changer: 00:06:00 •Google hacking: 00:13:00 •Nikto basics: 00:11:00 •Whois tools: 00:07:00 •Email harvesting: 00:06:00 •Shodan: 00:10:00 •Zone transfer with Dig: 00:08:00 •Installing Metasploitable: 00:07:00 •Nmap part 1: 00:16:00 •Nmap part 2: 00:12:00 •Nmap part 3: 00:12:00 •Zen map: 00:08:00 •TCP scans: 00:16:00 •Nmap by passing defenses: 00:17:00 •Nmap scripts part 1: 00:09:00 •Nmap scripts part 2: 00:14:00 •Installing OWASP: 00:08:00 •HTTP request: 00:10:00 •HTTP response: 00:10:00 •Burpsuite configuration: 00:13:00 •Editing packets in Burpsuite: 00:12:00 •Whatweb and Dirb: 00:10:00 •Password recovery attack: 00:16:00 •Burpsuite login bruteforce: 00:11:00 •Hydra login bruteforce: 00:09:00 •Session fixation: 00:14:00 •Injection attacks: 00:06:00 •Simple command injection: 00:11:00 •Exploiting command injection vulnerability: 00:08:00 •Finding blind command injection: 00:14:00 •SQL basics: 00:10:00 •Manual SQL injection part 1: 00:13:00 •Manual SQL injection part 2: 00:21:00 •SQL map basics: 00:17:00 •XML injection: 00:16:00 •Installing XCAT and preventing injection attacks: 00:06:00 •Reflected XSS: 00:11:00 •Stored XSS: 00:13:00 •Changing HTML code with XSS: 00:07:00 •XSSer and XSS sniper: 00:14:00 •Wireless attacking theory: 00:11:00 •Enabling monitor mode: 00:05:00 •Capturing handshake with airodump: 00:15:00 •Rockyou.txt: 00:14:00 •Cracking with aircrack: 00:16:00 •Cracking with hashcat: 00:15:00 •Creating password lists with crunch: 00:18:00 •Creating password lists with cup: 00:07:00 •Rainbow tables part 1: 00:17:00 •Rainbow tables part 2: 00:06:00 •Installing fluxion: 00:06:00 •Finding and cracking hidden networks: 00:08:00 •Preventing wireless attacks: 00:08:00 •ARP protocol basics: 00:10:00 •Man in the middle attack theory: 00:07:00 •Installing MITMf: 00:07:00 •Manual ARP spoofing: 00:13:00 •Problems while installing MITMf: 00:06:00 •HTTP traffic sniffing: 00:08:00 •DNS spoofing and HTTPS password sniffing: 00:24:00 •Hooking browser with BEEF: 00:16:00 •Screenshotting targets browser: 00:11:00 •Cloning any webpage: 00:09:00 •Ettercap basics: 00:07:00 •MFS console environment: 00:16:00 •Metasploit modules explained: 00:12:00 •Bruteforcing SSH with Metasploit: 00:15:00 •Attacking tomcat with metasploit: 00:09:00 •Getting meterpreter with command injection: 00:25:00 •PHP code injection: 00:06:00 •Metasploitable exploits: 00:07:00 •Wine installation: 00:12:00 •Creating windows payloads with Msfvenom: 00:10:00 •Encoders and Hex editors: 00:19:00 •Windows 10 meterpreter shell: 00:12:00 •Meterpreter environment: 00:11:00 •Windows 10 privilege escalation: 00:11:00 •Preventing privilege escalation: 00:06:00 •Post exploitation modules: 00:14:00 •Getting Meterpreter over Internet with port forwarding: 00:11:00 •Eternalblue exploit: 00:20:00 •Persistence module: 00:13:00 •Hacking over the internet with Ngrok: 00:10:00 •Android device hacking with venom: 00:10:00 •The real hacking begins now!: 00:02:00 •Variables: 00:14:00 •Raw input: 00:11:00 •If else statements: 00:10:00 •For loops: 00:07:00 •While loops: 00:08:00 •Python lists: 00:08:00 •Functions: 00:15:00 •Classes: 00:10:00 •Importing libraries: 00:07:00 •Files in python: 00:12:00 •Try and except the rule: 00:05:00 •Theory behind reverse shells: 00:07:00 •Simple server code: 00:13:00 •Connection with reverse shell: 00:07:00 •Sending and receiving messages: 00:11:00 •Sending messages with while true loop: 00:08:00 •Executing commands on target system: 00:10:00 •Fixing backdoor bugs and adding functions: 00:20:00 •First test using our backdoor: 00:18:00 •Trying to connect every 20 seconds: 00:12:00 •Creating persistence part 1: 00:06:00 •Creating persistence part 2: 00:17:00 •Changing directory: 00:12:00 •Uploading and downloading files: 00:22:00 •Downloading files from the internet: 00:23:00 •Starting programs using our backdoor: 00:07:00 •Capturing screenshots on the target PC: 00:19:00 •Embedding backdoor in an image part 1: 00:13:00 •Embedding backdoor in an image part 2: 00:09:00 •Checking for administrator privileges: 00:12:00 •Adding help option: 00:09:00 •Importing Pynput: 00:10:00 •Simple keylogger: 00:10:00 •Adding report function: 00:11:00 •Writing key strokes to a file: 00:14:00 •Adding the keylogger to our reverse shell part 1: 00:23:00 •Adding the keylogger to our reverse shell part 2: 00:08:00 •Final project test: 00:14:00 •Printing banner: 00:11:00 •Adding available options: 00:11:00 •Starting threads for bruteforce: 00:08:00 •Writing function to run the attack: 00:11:00 •Bruteforcing router login: 00:10:00 •Bypassing antivirus with your future programs: 00:14:00 •Sending malware with spoofed email: 00:15:00 •What will you learn in this section?: 00:03:00 •Why is ethical hacking a valuable skill?: 00:23:00 •What is the best ethical hacking certification?: 00:17:00 •Tips for getting your first job as an ethical hacker: 00:18:00 •How I started my career as an ethical hacker: 00:14:00 •How to price your work: 00:11:00 •Bonuses. Enjoy the Benefits: 01:05:00 •Assignment - Ethical Hacking with Kali Linux: 00:00:00

Thinking like a founder? Code like one too. The App Development for Entrepreneurs: 8-in-1 Premium Online Courses Bundle was created for go-getters ready to build, lead, and launch. With targeted training in Python, UX, Go Lang, Website Development, HTML, PHP, Quality Assurance, and Negotiation Skills, you're set to ideate, execute, and close deals. Whether you're pitching your startup or freelancing globally, employers and clients are searching for people fluent in Python, PHP, and Go Lang who also understand UX and Quality Assurance. This bundle makes sure you show up in that search. With Compete High rated 4.8 on 'Reviews.io' and 4.3 on Trustpilot, you're joining a trusted, global learning community. Don't miss this limited-time enrollment offer. 🧠 Description Entrepreneurs need agility. That’s why this bundle fuses the most important programming and business skills in one powerful package. Python, Go Lang, and PHP give you backend muscle. Website Development, UX, and HTML ensure a sleek front-end. Quality Assurance keeps everything error-free, and Negotiation Skills make sure your product—and your brand—wins deals. Want to build your MVP? You'll need HTML, PHP, and Go Lang. Looking to wow users? That’s where UX and Website Development come in. Want to automate or build tools fast? You’ll rely heavily on Python and Quality Assurance processes. And to get your app into users' hands, your Negotiation Skills will be just as critical as your code. From tech startups to client work, your toolkit needs to include Python, UX, PHP, Go Lang, and Quality Assurance. This bundle guarantees you're ready to launch—and land work. ❓ FAQ Q: Who is this bundle for? A: Startup founders, solo developers, freelance coders, or even junior product managers. If you need Python, UX, PHP, HTML, Go Lang, and Negotiation Skills, this is built for you. Q: Is there business value here? A: Absolutely. Negotiation Skills, UX, and Website Development give you what other devs lack: business communication. Combine that with Go Lang, PHP, Python, and Quality Assurance—you’re unstoppable. Q: Will it help me get hired or gain clients? A: Yes. The skills in this bundle directly align with top hiring filters like UX, Python, Quality Assurance, and Go Lang.

This is a complete crash course about KNIME for beginners. Here, we will learn how to do data cleaning and data preparation without any code, using KNIME. We will also cover data visualization using Tableau and Power BI Desktop. Then we will understand the predictive analytics capabilities of KNIME and finally, cover machine learning in KNIME.

Unlock the doors to modern tech careers with the Introduction to App Development: 8-in-1 Premium Online Courses Bundle. Whether you're just starting or pivoting careers, this bundle is your shortcut to job-readiness. Employers are actively searching for candidates with hands-on exposure to Python, Go Lang, UX, Website Development, HTML, Quality Assurance, Minute Taking, and SQL. This bundle ensures your CV hits all the right SEO triggers. If you're aiming to work in software development, QA testing, database management, or even technical coordination, this bundle is designed to get you noticed fast. With skyrocketing demand for professionals skilled in Python, SQL, and Go Lang, you're stepping directly into the hiring pipeline. Time-sensitive offer — get lifetime access now before the enrollment window closes. Compete High has 4.8 on 'Reviews.io' and 4.3 on Trustpilot, so you're joining thousands of students who trust quality. 🧠 Description From UX fundamentals to core logic in Python, this 8-in-1 bundle is built for practical application. Every lesson boosts your visibility to recruiters searching for talents in HTML, Website Development, Go Lang, SQL, and Quality Assurance. If you're applying for entry-level dev, QA, or support roles, having Minute Taking and UX skills signals you're both technically capable and communicatively strong. Every module—from Python to SQL, from HTML to Go Lang—works to make you hireable. Top roles in startups and tech firms expect familiarity with UX design, Website Development, and scripting in Python. Plus, SQL skills are now a must-have even outside data-heavy fields. This isn't just a learning bundle; it's your career launchpad. Add to that essential soft skills like Minute Taking, which are surprisingly underappreciated in the tech world. Combine technical tools like Quality Assurance testing and Go Lang fluency, and you're someone HR wants to interview. ❓ FAQ Q: Will this bundle help me land a job? A: Yes! Each course—Python, SQL, UX, Website Development, HTML, Go Lang, Quality Assurance, and Minute Taking—aligns with in-demand skills for junior developer, tester, or assistant tech roles. Q: Is this beginner friendly? A: Absolutely. If you're new to Python, HTML, or SQL, or unfamiliar with UX and Quality Assurance, the bundle makes your learning curve smoother. Q: Is this bundle worth the price? A: You're getting 8 top-tier job-aligned skills for one price—less than a single traditional course. With employers valuing Go Lang, Python, SQL, and UX, the ROI is enormous.

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Duration 3 Days 18 CPD hours This course is intended for This in an intermediate and beyond-level course is geared for experienced Python developers looking to delve into the exciting field of Natural Language Processing. It is ideally suited for roles such as data analysts, data scientists, machine learning engineers, or anyone working with text data and seeking to extract valuable insights from it. If you're in a role where you're tasked with analyzing customer sentiment, building chatbots, or dealing with large volumes of text data, this course will provide you with practical, hands on skills that you can apply right away. Overview This course combines engaging instructor-led presentations and useful demonstrations with valuable hands-on labs and engaging group activities. Throughout the course you'll: Master the fundamentals of Natural Language Processing (NLP) and understand how it can help in making sense of text data for valuable insights. Develop the ability to transform raw text into a structured format that machines can understand and analyze. Discover how to collect data from the web and navigate through semi-structured data, opening up a wealth of data sources for your projects. Learn how to implement sentiment analysis and topic modeling to extract meaning from text data and identify trends. Gain proficiency in applying machine learning and deep learning techniques to text data for tasks such as classification and prediction. Learn to analyze text sentiment, train emotion detectors, and interpret the results, providing a way to gauge public opinion or understand customer feedback. The Hands-on Natural Language Processing (NLP) Boot Camp is an immersive, three-day course that serves as your guide to building machines that can read and interpret human language. NLP is a unique interdisciplinary field, blending computational linguistics with artificial intelligence to help machines understand, interpret, and generate human language. In an increasingly data-driven world, NLP skills provide a competitive edge, enabling the development of sophisticated projects such as voice assistants, text analyzers, chatbots, and so much more. Our comprehensive curriculum covers a broad spectrum of NLP topics. Beginning with an introduction to NLP and feature extraction, the course moves to the hands-on development of text classifiers, exploration of web scraping and APIs, before delving into topic modeling, vector representations, text manipulation, and sentiment analysis. Half of your time is dedicated to hands-on labs, where you'll experience the practical application of your knowledge, from creating pipelines and text classifiers to web scraping and analyzing sentiment. These labs serve as a microcosm of real-world scenarios, equipping you with the skills to efficiently process and analyze text data. Time permitting, you?ll also explore modern tools like Python libraries, the OpenAI GPT-3 API, and TensorFlow, using them in a series of engaging exercises. By the end of the course, you'll have a well-rounded understanding of NLP, and will leave equipped with the practical skills and insights that you can immediately put to use, helping your organization gain valuable insights from text data, streamline business processes, and improve user interactions with automated text-based systems. You?ll be able to process and analyze text data effectively, implement advanced text representations, apply machine learning algorithms for text data, and build simple chatbots. Launch into the Universe of Natural Language Processing The journey begins: Unravel the layers of NLP Navigating through the history of NLP Merging paths: Text Analytics and NLP Decoding language: Word Sense Disambiguation and Sentence Boundary Detection First steps towards an NLP Project Unleashing the Power of Feature Extraction Dive into the vast ocean of Data Types Purification process: Cleaning Text Data Excavating knowledge: Extracting features from Texts Drawing connections: Finding Text Similarity through Feature Extraction Engineer Your Text Classifier The new era of Machine Learning and Supervised Learning Architecting a Text Classifier Constructing efficient workflows: Building Pipelines for NLP Projects Ensuring continuity: Saving and Loading Models Master the Art of Web Scraping and API Usage Stepping into the digital world: Introduction to Web Scraping and APIs The great heist: Collecting Data by Scraping Web Pages Navigating through the maze of Semi-Structured Data Unearth Hidden Themes with Topic Modeling Embark on the path of Topic Discovery Decoding algorithms: Understanding Topic-Modeling Algorithms Dialing the right numbers: Key Input Parameters for LSA Topic Modeling Tackling complexity with Hierarchical Dirichlet Process (HDP) Delving Deep into Vector Representations The Geometry of Language: Introduction to Vectors in NLP Text Manipulation: Generation and Summarization Playing the creator: Generating Text with Markov Chains Distilling knowledge: Understanding Text Summarization and Key Input Parameters for TextRank Peering into the future: Recent Developments in Text Generation and Summarization Solving real-world problems: Addressing Challenges in Extractive Summarization Riding the Wave of Sentiment Analysis Unveiling emotions: Introduction to Sentiment Analysis Tools Demystifying the Textblob library Preparing the canvas: Understanding Data for Sentiment Analysis Training your own emotion detectors: Building Sentiment Models Optional: Capstone Project Apply the skills learned throughout the course. Define the problem and gather the data. Conduct exploratory data analysis for text data. Carry out preprocessing and feature extraction. Select and train a model. ? Evaluate the model and interpret the results. Bonus Chapter: Generative AI and NLP Introduction to Generative AI and its role in NLP. Overview of Generative Pretrained Transformer (GPT) models. Using GPT models for text generation and completion. Applying GPT models for improving autocomplete features. Use cases of GPT in question answering systems and chatbots. Bonus Chapter: Advanced Applications of NLP with GPT Fine-tuning GPT models for specific NLP tasks. Using GPT for sentiment analysis and text classification. Role of GPT in Named Entity Recognition (NER). Application of GPT in developing advanced chatbots. Ethics and limitations of GPT and generative AI technologies.