8507 Courses in Cardiff delivered Online

The Mastering Organizational Chaos course provides essential insights and strategies to manage chaos within an organization effectively. Participants will learn priority-planning techniques, effective decision-making processes, and the role of communication and critical thinking in navigating and resolving organizational chaos. Learning Outcomes: Understand the nature and causes of organizational chaos. Develop priority-planning skills to manage chaos and set clear objectives. Enhance decision-making abilities to prevent and address chaotic situations. Improve communication strategies to foster cooperation and unity. Apply critical thinking to identify solutions and resolve chaos effectively. Develop resilience and adaptability to handle unexpected challenges. Implement conflict resolution techniques to manage internal conflicts. Foster a positive organizational culture to mitigate chaos and promote productivity. Why buy this Mastering Organizational Chaos? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on 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 Mastering Organizational Chaos 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 £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this course for? Managers and leaders in organizations seeking to improve their crisis management skills. Entrepreneurs and business owners dealing with organizational challenges. Project managers aiming to enhance their decision-making abilities in chaotic situations. Anyone interested in understanding and managing chaos within an organizational context. Prerequisites This Mastering Organizational Chaos does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Mastering Organizational Chaos was made by professionals and it is compatible with all PC's, Mac's, 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 Crisis Management Specialist: Work with organizations to manage and navigate crises. Organizational Consultant: Provide guidance and strategies for chaos management. Project Manager: Utilize chaos management skills to lead successful projects. Business Analyst: Analyze organizational processes and recommend improvements. Course Curriculum Mastering Organizational Chaos Module 01: Introduction to Organisational Chaos 00:18:00 Module 02: Priority-Planning for Managing Organisational Chaos 00:16:00 Module 03: Effective Decision Making to Prevent Chaos 00:34:00 Module 04: Communication in Organisational Chaos 00:23:00 Module 05: Master Chaos With Critical Thinking 00:18:00 Assignment Assignment - Mastering Organizational Chaos 00:00:00

Success = Value + People + Process With innovation happening more than ever, the new agile project economy requires more and more people across organisations to manage projects successfully, leading to many of us quietly slipping into the role of the unofficial project manager! The problem is very few people receive formal training on how to do it. Stakeholders, scope creep, limited training, and a lack of process all combine to raise the probability of project failure costing organisations time, money, and employee morale Is it any wonder 65% of all projects fail* each year! The good news is—unofficial project managers can build confidence to lead high-value projects and engage teams in a way that inspires them to volunteer their best efforts. Source: *Nieto-Rodriguez, A. (2021). “The Project Economy Has Arrived.” Harvard Business Review; Nov/Dec 21. Outcomes Project Management for the Unofficial Project Manager™ combines best practices from agile and waterfall project management to equip learners with the mindset, skillset, and toolset to engage and inspire team members. Success starts with the core agile principle of value—a project must deliver value to Noble! Once value is established, it is people who make projects successful through a consistent process. Project management isn’t just about managing logistics and hoping the project team is ready to play to win. The skills of “informal authority” are more important than ever before, so team members are inspired to contribute to project success! This course will help learners: Build strong informal authority that inspires project teams to consistently volunteer their best efforts. Utilise a consistent process to start and finish high-value projects on time and with quality. Influence and engage others to define a clear project scope, including clear deliverables and risk strategies. Model openness and agility to apply proactive change management and deliver high-value projects. Project Management Framework The Project Management Framework guides you through five distinct elements in the life of any project. Coupled with the foundational behaviours taught in the programme, this framework can help you deliver highly successful projects again and again. Who Should Attend? This programme is for anyone who finds themselves leading projects at work, regardless of whether or not their job title says, Project Manager! It is NOT a deep dive into project management processes, nor is it a qualification based programme. Whilst it would be helpful to either be involved in or to be leading a project, during the programme, this is clearly not essential. However, it is advisable that the participants have had some experience, whether as a project member or as the person who is leading the project (officially or not)! Project Management Institute (PMI) FranklinCovey is a member of the Project Management Institute (PMI) Authorised Training Partners (ATP) Programme and this course has been designed to satisfy the project management education requirement for PMI Certifications as well as Professional Development Education units (PDUs) needed by PMI credential holders.

Duration 2 Days 12 CPD hours This course is intended for Managers of software development Software team leads Specialists in software development processes and quality assurance Overview An understanding of how to maintain a regular cadence when delivering working software during each iterationGaining a practical appreciation on how to follow the team approach; start as a team, finish as a teamKnowledge and understanding of Agile principles with context on why they are so important for each teamEmbracing planning from Vision down to Daily activities, recognizing the value of continuous planning over following a planBuilding a backlog of prioritized stories that provide emergent requirements for analysis that also fosters customer engagement and understandingAn engaging technique for more effective estimating (planning poker) and become more accurate by being less preciseKnowledge of pulling together Agile release plans that connect you back to business expectations ? including hard date commitments and fixed price models This boot camp-style workshop prepares you to manage, lead, or participate on Scrum projects by learning how to apply the practices of Scrum on an actual project. This boot camp-style workshop prepares you to manage, lead, or participate on Scrum projects by learning how to apply the practices of Scrum on an actual project. Additional course details: Nexus Humans BA16 - Managing Software Projects Using Scrum 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 BA16 - Managing Software Projects Using Scrum 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.

48-Hour Knowledge Knockdown! Prices Reduced Like Never Before. Looking to become a master in web development? You're in luck! Introducing the Web Development - The Complete Bootcamp 2023 bundle - a comprehensive collection of courses that will turn you into a web development pro in no time. This bundle features 11 courses, including the Complete Web Development Course, HTML Web Development Crash Course, CSS Web Development, and more. Each course is CPD-QS accredited, ensuring that you're receiving the best possible education to further your career. This Web Development Package includes: Course 01: Diploma in Complete Web Development at QLS Level 5 10 Premium Additional CPD QS Accredited Courses - Course 01: HTML Web Development Crash Course Course 02: CSS Web Development Course 03: PHP Webforms for Everyone Course 04: Create Your First Responsive Website Course 05: Bootstrap - Responsive Web Design Course 06: Ultimate PHP & MySQL Web Development & OOP Coding Course 07: Basics of WordPress: Create Unlimited Websites Course 08: Fundamentals of CSS Course 09: MySql Masterclass Course 10: Ionic & Angular JS: Mobile and Web Development In addition, the first course is QLS-endorsed, meaning that you'll receive a QLS hardcopy certificate upon completion for free. This certificate holds significant weight in the industry and serves as a testament to your dedication and expertise in web development. After taking this Web Development bundle course, you will be able to learn: Learn how to build responsive websites using HTML, CSS and Bootstrap. Master PHP and MySQL for advanced web development. Develop skills in mobile and web development using Ionic and Angular JS. Understand the fundamentals of WordPress and create unlimited websites. Create user-friendly web forms using PHP. Don't miss out on this opportunity to expand your knowledge and take your career to the next level. Get your hands on the Web Development - The Complete Bootcamp 2023 bundle today and start your journey towards becoming a web development master. Enrol right now! Why Prefer This Email Marketing at QLS Level 3 Course? Web Development FREE QLS endorsed certificate Get instant access to this Web Development Training course. Learn Web Development from anywhere in the world Web Development Training is an entirely online, interactive lesson with voiceover audio Lifetime access 24/7 tutor support Free assessments available Get a free student ID card! (£10 postal charge will be applicable for international delivery) Level 5 Diploma in Web Development - QLS Endorsed ***Curriculum breakdown of Complete Web Development Course*** Welcome HTML 5 CSS 3 Bootstrap Project 1 - Design a Landing Page Project 2 - Business Website Project 3 - Portfolio How is the Web Development - The Complete Bootcamp 2023 Bundle Assessment Process? You have to complete the assignment questions given at the end of the course and score a minimum of 60% to pass each exam. You will be entitled to claim a certificate endorsed by the Quality Licence Scheme : Diploma in Complete Web Development at QLS Level 5 after you successfully pass the exams. CPD 250 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Aspiring web developers looking to gain knowledge and skills in web development Professionals in web development looking to expand their knowledge and expertise Requirements There is no formal requirements for this Bundle, Career path Junior Web Developer Front-end Web Developer Full-stack Web Developer Senior Web Developer Certificates Diploma in Complete Web Development at QLS Level 5 Hard copy certificate - Included After successfully completing thecourse, you can order an original hardcopy Certificate of Achievement endorsed by the Quality Licence Scheme. This certificate will be delivered to your home, free of charge. To obtain the additional Quality Licence Scheme Endorsed Certificate, you will need to pay the corresponding fee based on the level of the courses: Level 1: £59 Level 2: £79 Level 3: £89 Level 4: £99 Level 5: £119 Level 6: £129 Level 7: £139 CPD QS Accredited Certificate Digital certificate - £10 Upon successfully completing the Bundle, you will need to place an order to receive a PDF Certificate for each course within the bundle. These certificates serve as proof of your newly acquired skills, accredited by CPD QS and will cost you £10 for each course. Also, the certificates are recognised throughout the UK and internationally. CPD QS Accredited Certificate Hard copy certificate - £29 International students are subject to a £10 delivery fee for their orders, based on their location.

Embark on a journey into the world of strategic analysis with this advanced course. Delve deep into risk management standards, the COSO framework for internal controls, competitive positioning strategies, BCG Matrix for portfolio analysis, pricing strategies, and the impact of economies of scale. Equip yourself with the tools and models essential for navigating complex business landscapes. This course is a comprehensive exploration of advanced tools and models crucial for strategic analysis. After the successful completion of this course, you will be able to: ⦁ Understand risk management standards' significance and application for organizational resilience and threat mitigation. ⦁ Identify components of the COSO framework for effective internal controls and risk assessment. ⦁ Analyze different types of competitive positions to strategize for market advantage. ⦁ Comprehend BCG Matrix for product/service portfolio analysis. ⦁ Explore pricing strategies and their impact on revenue and market position. ⦁ Understand economies of scale and their influence on cost efficiency and competitiveness. Elevate your risk analysis expertise with our advanced course, meticulously curated for professionals. Uncover sophisticated tools and models designed for strategic precision, empowering you to navigate complexities with confidence. Sharpen your analytical prowess and stay ahead in the dynamic business landscape. Enroll to master the art of strategic risk analysis. Course Structure and Assessment Guidelines Watch this video to gain further insight. Navigating the MSBM Study Portal Watch this video to gain further insight. Interacting with Lectures/Learning Components Watch this video to gain further insight. Advanced Tools And Models For Strategic Analysis Self-paced pre-recorded learning content on this topic. Advanced Tools And Models For Strategic Analysis Put your knowledge to the test with this quiz. Read each question carefully and choose the response that you feel is correct. All MSBM courses are accredited by the relevant partners and awarding bodies. Please refer to MSBM accreditation in about us for more details. There are no strict entry requirements for this course. Work experience will be added advantage to understanding the content of the course. The certificate is designed to enhance the learner's knowledge in the field. This certificate is for everyone eager to know more and get updated on current ideas in their respective field. We recommend this certificate for the following audience.  1. Risk Management Professionals 2. Financial Analysts3. Strategic Planners4. Business Intelligence Analysts5. Project Managers6. Compliance Officers7. Data Scientists8. Decision Analysts Average Completion Time 2 Weeks Accreditation 3 CPD Hours Level Advanced Start Time Anytime 100% Online Study online with ease. Unlimited Access 24/7 unlimited access with pre-recorded lectures. Low Fees Our fees are low and easy to pay online.

Step into the world of data analysis and gain practical experience analyzing real-world datasets with the help of this course. This course will not only guide you in analyzing data efficiently in Python from scratch but also help you in conducting your own analysis with Python and extracting valuable insights that can transform your business!

Explore data connectivity and streamline workflows by mastering integrating Salesforce with external systems. Discover a range of tools and techniques to seamlessly connect Salesforce with external apps. Understand concepts such as Auth Providers/Named Credentials, HTTP callouts, and OpenAPI 3.0, and achieve robust integrations without coding.

Are you ready to be at the helm, steering the ship into a realm where data is the new gold? In the infinite world of data, where information spirals at breakneck speed, lies a universe rich in potential and discovery: the domain of Data Science and Visualisation. This 'Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3' course unravels the wonders of extracting meaningful insights using Python, the worldwide leading language of data experts. Harnessing the strength of Python, you'll delve deep into data analysis, experience the finesse of visualisation tools, and master the art of Machine Learning. The need to understand, interpret, and act on this data has become paramount, with vast amounts of data increasing the digital sphere. Envision a canvas where raw numbers are transformed into visually compelling stories, and machine learning models foretell future trends. This course provides a meticulous pathway for anyone eager to learn the data representation paradigms backed by Python's robust libraries. Dive into a curriculum rich with analytical explorations, visual artistry, and machine learning predictions. Learning Outcomes Understanding the foundations and functionalities of Python, focusing on its application in data science. Applying various Python libraries like NumPy and Pandas for effective data analysis. Demonstrating proficiency in creating detailed visual narratives using tools like matplotlib, Seaborn, and Plotly. Implementing Machine Learning algorithms in Python using scikit-learn, ranging from regression models to clustering techniques. Designing and executing a holistic data analysis and visualisation project, encapsulating all learned techniques. Exploring advanced topics, encompassing recommender systems and natural language processing with Python. Attaining the confidence to independently analyse complex data sets and translate them into actionable insights.   Video Playerhttps://studyhub.org.uk/wp-content/uploads/2021/03/Data-Science-and-Visualisation-with-Machine-Learning.mp400:0000:0000:00Use Up/Down Arrow keys to increase or decrease volume. Why buy this Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments are designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Who is this Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 course for? Aspiring data scientists aiming to harness the power of Python. Researchers keen to enrich their analytical and visualisation skills. Analysts aiming to add machine learning to their toolkit. Developers striving to integrate data analytics into applications. Business professionals desiring data-driven decision-making capabilities. Career path Data Scientist: £55,000 - £85,000 Per Annum Machine Learning Engineer: £60,000 - £90,000 Per Annum Data Analyst: £30,000 - £50,000 Per Annum Data Visualisation Specialist: £45,000 - £70,000 Per Annum Natural Language Processing Specialist: £65,000 - £95,000 Per Annum Business Intelligence Developer: £40,000 - £65,000 Per Annum Prerequisites This Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 does not require you to have any prior qualifications or experience. You can just enrol and start learning. This Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 was made by professionals and it is compatible with all PC's, Mac's, 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. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Endorsed Certificate of Achievement from the Quality Licence Scheme Learners will be able to achieve an endorsed certificate after completing the course as proof of their achievement. You can order the endorsed certificate for only £85 to be delivered to your home by post. For international students, there is an additional postage charge of £10. Endorsement The Quality Licence Scheme (QLS) has endorsed this course for its high-quality, non-regulated provision and training programmes. The QLS is a UK-based organisation that sets standards for non-regulated training and learning. This endorsement means that the course has been reviewed and approved by the QLS and meets the highest quality standards. Please Note: Studyhub is a Compliance Central approved resale partner for Quality Licence Scheme Endorsed courses. Course Curriculum Welcome, Course Introduction & overview, and Environment set-up Welcome & Course Overview 00:07:00 Set-up the Environment for the Course (lecture 1) 00:09:00 Set-up the Environment for the Course (lecture 2) 00:25:00 Two other options to setup environment 00:04:00 Python Essentials Python data types Part 1 00:21:00 Python Data Types Part 2 00:15:00 Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 1) 00:16:00 Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 2) 00:20:00 Python Essentials Exercises Overview 00:02:00 Python Essentials Exercises Solutions 00:22:00 Python for Data Analysis using NumPy What is Numpy? A brief introduction and installation instructions. 00:03:00 NumPy Essentials - NumPy arrays, built-in methods, array methods and attributes. 00:28:00 NumPy Essentials - Indexing, slicing, broadcasting & boolean masking 00:26:00 NumPy Essentials - Arithmetic Operations & Universal Functions 00:07:00 NumPy Essentials Exercises Overview 00:02:00 NumPy Essentials Exercises Solutions 00:25:00 Python for Data Analysis using Pandas What is pandas? A brief introduction and installation instructions. 00:02:00 Pandas Introduction 00:02:00 Pandas Essentials - Pandas Data Structures - Series 00:20:00 Pandas Essentials - Pandas Data Structures - DataFrame 00:30:00 Pandas Essentials - Handling Missing Data 00:12:00 Pandas Essentials - Data Wrangling - Combining, merging, joining 00:20:00 Pandas Essentials - Groupby 00:10:00 Pandas Essentials - Useful Methods and Operations 00:26:00 Pandas Essentials - Project 1 (Overview) Customer Purchases Data 00:08:00 Pandas Essentials - Project 1 (Solutions) Customer Purchases Data 00:31:00 Pandas Essentials - Project 2 (Overview) Chicago Payroll Data 00:04:00 Pandas Essentials - Project 2 (Solutions Part 1) Chicago Payroll Data 00:18:00 Python for Data Visualization using matplotlib Matplotlib Essentials (Part 1) - Basic Plotting & Object Oriented Approach 00:13:00 Matplotlib Essentials (Part 2) - Basic Plotting & Object Oriented Approach 00:22:00 Matplotlib Essentials (Part 3) - Basic Plotting & Object Oriented Approach 00:22:00 Matplotlib Essentials - Exercises Overview 00:06:00 Matplotlib Essentials - Exercises Solutions 00:21:00 Python for Data Visualization using Seaborn Seaborn - Introduction & Installation 00:04:00 Seaborn - Distribution Plots 00:25:00 Seaborn - Categorical Plots (Part 1) 00:21:00 Seaborn - Categorical Plots (Part 2) 00:16:00 Seborn-Axis Grids 00:25:00 Seaborn - Matrix Plots 00:13:00 Seaborn - Regression Plots 00:11:00 Seaborn - Controlling Figure Aesthetics 00:10:00 Seaborn - Exercises Overview 00:04:00 Seaborn - Exercise Solutions 00:19:00 Python for Data Visualization using pandas Pandas Built-in Data Visualization 00:34:00 Pandas Data Visualization Exercises Overview 00:03:00 Panda Data Visualization Exercises Solutions 00:13:00 Python for interactive & geographical plotting using Plotly and Cufflinks Plotly & Cufflinks - Interactive & Geographical Plotting (Part 1) 00:19:00 Plotly & Cufflinks - Interactive & Geographical Plotting (Part 2) 00:14:00 Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Overview) 00:11:00 Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Solutions) 00:37:00 Capstone Project - Python for Data Analysis & Visualization Project 1 - Oil vs Banks Stock Price during recession (Overview) 00:15:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 1) 00:18:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 2) 00:18:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 3) 00:17:00 Project 2 (Optional) - Emergency Calls from Montgomery County, PA (Overview) 00:03:00 Python for Machine Learning (ML) - scikit-learn - Linear Regression Model Introduction to ML - What, Why and Types.. 00:15:00 Theory Lecture on Linear Regression Model, No Free Lunch, Bias Variance Tradeoff 00:15:00 scikit-learn - Linear Regression Model - Hands-on (Part 1) 00:17:00 scikit-learn - Linear Regression Model Hands-on (Part 2) 00:19:00 Good to know! How to save and load your trained Machine Learning Model! 00:01:00 scikit-learn - Linear Regression Model (Insurance Data Project Overview) 00:08:00 scikit-learn - Linear Regression Model (Insurance Data Project Solutions) 00:30:00 Python for Machine Learning - scikit-learn - Logistic Regression Model Theory: Logistic Regression, conf. mat., TP, TN, Accuracy, Specificityetc. 00:10:00 scikit-learn - Logistic Regression Model - Hands-on (Part 1) 00:17:00 scikit-learn - Logistic Regression Model - Hands-on (Part 2) 00:20:00 scikit-learn - Logistic Regression Model - Hands-on (Part 3) 00:11:00 scikit-learn - Logistic Regression Model - Hands-on (Project Overview) 00:05:00 scikit-learn - Logistic Regression Model - Hands-on (Project Solutions) 00:15:00 Python for Machine Learning - scikit-learn - K Nearest Neighbors Theory: K Nearest Neighbors, Curse of dimensionality . 00:08:00 scikit-learn - K Nearest Neighbors - Hands-on 00:25:00 scikt-learn - K Nearest Neighbors (Project Overview) 00:04:00 scikit-learn - K Nearest Neighbors (Project Solutions) 00:14:00 Python for Machine Learning - scikit-learn - Decision Tree and Random Forests Theory: D-Tree & Random Forests, splitting, Entropy, IG, Bootstrap, Bagging. 00:18:00 scikit-learn - Decision Tree and Random Forests - Hands-on (Part 1) 00:19:00 scikit-learn - Decision Tree and Random Forests (Project Overview) 00:05:00 scikit-learn - Decision Tree and Random Forests (Project Solutions) 00:15:00 Python for Machine Learning - scikit-learn -Support Vector Machines (SVMs) Support Vector Machines (SVMs) - (Theory Lecture) 00:07:00 scikit-learn - Support Vector Machines - Hands-on (SVMs) 00:30:00 scikit-learn - Support Vector Machines (Project 1 Overview) 00:07:00 scikit-learn - Support Vector Machines (Project 1 Solutions) 00:20:00 scikit-learn - Support Vector Machines (Optional Project 2 - Overview) 00:02:00 Python for Machine Learning - scikit-learn - K Means Clustering Theory: K Means Clustering, Elbow method .. 00:11:00 scikit-learn - K Means Clustering - Hands-on 00:23:00 scikit-learn - K Means Clustering (Project Overview) 00:07:00 scikit-learn - K Means Clustering (Project Solutions) 00:22:00 Python for Machine Learning - scikit-learn - Principal Component Analysis (PCA) Theory: Principal Component Analysis (PCA) 00:09:00 scikit-learn - Principal Component Analysis (PCA) - Hands-on 00:22:00 scikit-learn - Principal Component Analysis (PCA) - (Project Overview) 00:02:00 scikit-learn - Principal Component Analysis (PCA) - (Project Solutions) 00:17:00 Recommender Systems with Python - (Additional Topic) Theory: Recommender Systems their Types and Importance 00:06:00 Python for Recommender Systems - Hands-on (Part 1) 00:18:00 Python for Recommender Systems - - Hands-on (Part 2) 00:19:00 Python for Natural Language Processing (NLP) - NLTK - (Additional Topic) Natural Language Processing (NLP) - (Theory Lecture) 00:13:00 NLTK - NLP-Challenges, Data Sources, Data Processing .. 00:13:00 NLTK - Feature Engineering and Text Preprocessing in Natural Language Processing 00:19:00 NLTK - NLP - Tokenization, Text Normalization, Vectorization, BoW. 00:19:00 NLTK - BoW, TF-IDF, Machine Learning, Training & Evaluation, Naive Bayes 00:13:00 NLTK - NLP - Pipeline feature to assemble several steps for cross-validation 00:09:00 Resources Resources - Data Science and Visualisation with Machine Learning 00:00:00 Order your QLS Endorsed Certificate Order your QLS Endorsed Certificate 00:00:00

Enhance your coding skill set by learning Java multithreading and parallel programming. Figure out common problems such as debugging codes, splitting a problem into multiple independent pieces, and measuring the runtime and performance of your code. Save time and avoid going into the same pitfalls while learning multithreading.

The main subject areas of the course are: Legislation and guidance for asbestos practitioners. The properties of asbestos and health effects of exposure to asbestos fibres. The types of asbestos and its uses in buildings. The types of asbestos surveys. The asbestos register, risk assessment and management plan. Asbestos remediation. The role of asbestos analysts and laboratory procedures.