1138 Data Analysis courses in Cardiff delivered Online

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.

Flash Sale 2024 II Discount II Bundle Course II Free CPD certificates

In this course, we will process massive streams of real-time data using Spark Streaming and create Spark applications using the Scala programming language (v2.12). We will also get our hands-on with some real live Twitter data, simulated streams of Apache access logs, and even data used to train machine learning models.

Course Overview This comprehensive course offers a deep dive into three essential technologies for data science: Python, JavaScript, and Microsoft SQL. Learners will gain foundational knowledge and practical skills in each of these key areas, which are crucial for handling data, creating interactive websites, and working with databases. By the end of the course, students will be proficient in writing Python code for data analysis, creating dynamic web content with JavaScript, and managing data with Microsoft SQL. The course is designed to equip learners with the technical skills needed to succeed in data science, making it a valuable investment for anyone looking to excel in this growing field. Course Description In this course, learners will explore the core principles of Python, JavaScript, and Microsoft SQL, all tailored to the needs of data science professionals. The curriculum covers Python’s data structures, functions, and libraries essential for data analysis, while JavaScript introduces students to web development skills, including client-side validation and data visualisation. The Microsoft SQL section focuses on data management, including filtering, joining, and structuring queries. Learners will develop a solid understanding of these technologies, which will enable them to manipulate data, automate processes, and design interactive applications. The course also includes real-world applications, ensuring learners are well-prepared for future opportunities in data science and web development. Course Modules: Module 01: JavaScript Getting Started Module 02: JavaScript Fundamentals Module 03: JavaScript Strings Module 04: JavaScript Operators Module 05: JavaScript Conditional Statements Module 06: JavaScript Control Flow Statements Module 07: JavaScript Functions Module 08: Data Visualization (Google Charts) Module 09: JavaScript Error Handling Module 10: JavaScript Client-Side Validations Module 11: Python Introduction Module 12: Python Basic Module 13: Python Strings Module 14: Python Operators Module 15: Python Data Structures Module 16: Python Conditional Statements Module 17: Python Control Flow Statements Module 18: Python Core Games Module 19: Python Functions Module 20: Python Args, KW Args for Data Science Module 21: Python Project Module 22: Publish Your Website for Live Module 23: MS SQL Statements Module 24: MS SQL Filtering Data Module 25: MS SQL Functions Module 26: MS SQL Joins Module 27: MS SQL Advanced Commands Module 28: MS SQL Structure and Keys Module 29: MS SQL Queries Module 30: MS SQL Structure Queries Module 31: MS SQL Constraints Module 32: MS SQL Backup and Restore (See full curriculum) Who is this course for? Individuals seeking to enhance their skills in data science. Professionals aiming to expand their knowledge in programming and database management. Beginners with an interest in Python, JavaScript, and SQL. Anyone looking to enter the field of data science or web development. Career Path Data Scientist Web Developer Database Administrator Data Analyst Front-End Developer Full Stack Developer Data Engineer

Register on the Google Data Studio today and build the experience, skills and knowledge you need to enhance your professional development and work towards your dream job. Study this course through online learning and take the first steps towards a long-term career. The course consists of a number of easy to digest, in-depth modules, designed to provide you with a detailed, expert level of knowledge. Learn through a mixture of instructional video lessons and online study materials. Receive online tutor support as you study the course, to ensure you are supported every step of the way. Get an e-certificate as proof of your course completion. The Google Data Studio is incredibly great value and allows you to study at your own pace. Access the course modules from any internet-enabled device, including computers, tablet, and smartphones. The course is designed to increase your employability and equip you with everything you need to be a success. Enrol on the now and start learning instantly! What You Get With The Google Data Studio Receive a e-certificate upon successful completion of the course Get taught by experienced, professional instructors Study at a time and pace that suits your learning style Get instant feedback on assessments 24/7 help and advice via email or live chat Get full tutor support on weekdays (Monday to Friday) 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 Video lessons Online study materials Certification Upon successful completion of the course, you will be able to obtain your course completion e-certificate free of cost. Print copy by post is also available at an additional cost of £9.99 and PDF Certificate at £4.99. Who Is This Course For: The course is ideal for those who already work in this sector or are an aspiring professional. This course is designed to enhance your expertise and boost your CV. Learn key skills and gain a professional qualification to prove your newly-acquired knowledge. Requirements: The online training is open to all students and has no formal entry requirements. To study the Google Data Studio, all your need is a passion for learning, a good understanding of English, numeracy, and IT skills. You must also be over the age of 16. Course Content Google Data Studio Module 01: Introduction to GDS 00:36:00 Module 02: Data Visualization 01:29:00 Module 03: Geo-visualization 00:16:00 Module 04: A Socio-Economic Case Study 00:20:00 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.

Break into the booming online business world with the Ecommerce: 20-in-1 Premium Online Courses Bundle. Whether you’re launching your own brand or supporting digital sales teams, this comprehensive training makes you instantly more hireable in the UK’s fast-growing ecommerce and marketing sectors. With 20 career-focused courses in one bundle, it’s the smart, scalable way to future-proof your income. Description Ecommerce is no longer optional—it’s the heart of modern retail and entrepreneurship. This bundle gives you broad-based credibility across dropshipping, sales writing, data analysis, and compliance, preparing you for roles in digital marketing, store management, analytics, and online customer strategy. Ideal for those seeking freelance opportunities, junior digital roles, or self-employment, this training doesn’t just look good on your CV—it opens up revenue channels. Ecommerce employers need people who can multitask and self-manage, and this bundle proves you’re ready to do both. Instead of picking one path, why not explore 20? The cost of inaction is lost opportunity—grab your place while it’s still available. FAQ Q: Who is this bundle best for? A: Perfect for ecommerce assistants, startup founders, content marketers, VA freelancers, or marketing trainees. Q: Do I need prior ecommerce experience? A: Not at all. It’s designed to help beginners launch or grow ecommerce-related careers. Q: What roles could this help me get? A: Ecommerce Executive, Digital Marketing Assistant, Shopify Store Manager, SEO Assistant, Email Marketer. Q: Can I use it to start a dropshipping business? A: Yes. The included courses support both employment and self-employment paths. Q: Why act now? A: With ecommerce roles expanding and competition growing, delaying training means falling behind. Start now to stay ahead.

Step into the future of work with a comprehensive programming bundle built for modern job markets. Whether you’re looking to launch a career in tech, transition into freelance programming, or impress hiring managers with a standout CV, this 20-in-1 bundle equips you to make that leap confidently. Description In a world where digital skills drive nearly every industry, programming expertise is more than desirable—it’s non-negotiable. This 20-in-1 Computer Programming bundle brings together in-demand tech proficiencies alongside essential workplace capabilities, making you a more versatile, hireable candidate in record time. Whether you're eyeing roles in software development, data analysis, IT support, or digital marketing, this bundle covers core competencies valued across tech, finance, ecommerce, education, and cybersecurity industries. It’s tailored for job-seekers, career switchers, and side hustlers who don’t want to waste time figuring out what’s relevant. Why this bundle? Because competition waits for no one. With 20 skill-focused courses at a fraction of the typical cost, it’s a rare opportunity to stack your CV with cross-functional capabilities. Employers love self-starters—make sure you’re one of them. FAQ Q: Who is this bundle for? A: It’s ideal for aspiring programmers, career changers, freelancers, and anyone who wants a hiring-edge in digital industries. Q: Will this help me get a job? A: While no course guarantees employment, this bundle was designed to enhance employability across multiple high-growth tech sectors. Q: How long do I get access to the courses? A: You’ll receive lifetime access, so you can learn at your own pace, anytime. Q: Can I take these courses without prior experience? A: Yes, the bundle is designed to accommodate learners from all backgrounds. Q: What kind of jobs could this help me land? A: Roles like software developer, junior programmer, technical support analyst, and freelance web developer.

In today’s job market, being “just a coder” isn’t enough. The Python: 20-in-1 Premium Online Courses Bundle equips you with a well-rounded, hireable tech stack designed for real-world job relevance. From development to data to digital marketing—this is your career kit in one click. This isn’t just Python—it’s your passport to tech employment in web development, IT support, data analysis, project coordination, and freelance tech gigs. If you're looking to upskill or break into tech, this bundle is your launchpad. Description This isn’t the time to learn just one thing. Employers want multi-skilled professionals—and this bundle delivers exactly that. With 20 strategically chosen courses, you’ll be able to plug into industries like fintech, SaaS, marketing, e-commerce, and cybersecurity with confidence. Whether you’re eyeing remote work, freelancing, or stable employment in tech-driven sectors, this all-in-one curriculum puts your CV on hiring radars. Plus, the combination of coding, data, and project-based tools means you’ll be prepared for both startup scrambles and corporate ladders. You could spend months piecing this together—or you could have it all, now. Don’t just be employable. Be undeniable. FAQ Q: Who should enrol in this bundle? A: Beginners, career changers, freelance hopefuls, or professionals wanting to future-proof their tech careers. Q: What roles does this bundle help prepare for? A: Web developer, data analyst, cybersecurity assistant, project coordinator, IT technician, and more. Q: How long do I get access? A: Lifetime. You can revisit courses anytime—even when you're already working. Q: Is prior experience needed? A: No. This bundle is designed to suit all levels, from novice to early-career professionals. Q: Why 20 courses? A: Because the tech world demands agility. One skill won’t cut it—this bundle equips you with many.

Let's build sophisticated visualizations and dashboards using Sankey diagrams and geospatial, sunburst, and circular charts and animate your visualizations. We will also cover advanced Tableau topics, such as Tableau parameters and use cases and Level of Detail (LOD) expressions, spatial functions, advanced filters, and table calculations.

A beginner's level course that will help you learn data engineering techniques for building metadata-driven frameworks with Azure data engineering tools such as Data Factory, Azure SQL, and others. You need not have any prior experience in Azure Data Factory to take up this course.