23641 Industry courses in Cardiff delivered Online

LinkedIn Marketing Masterclass Course Overview The LinkedIn Marketing Masterclass provides a comprehensive understanding of using LinkedIn as a powerful marketing tool. This course covers everything from creating an optimised LinkedIn profile to developing advanced content strategies, running targeted ad campaigns, and measuring marketing success. It aims to equip learners with the skills to enhance their personal or business brand, increase engagement, and drive traffic to their services or products. By the end of the course, learners will be confident in navigating LinkedIn’s features and tools to generate quality leads and achieve their marketing goals. Course Description This course delves into a variety of key topics, including building a strong LinkedIn presence, understanding LinkedIn’s algorithm, creating effective posts and articles, and leveraging LinkedIn’s advertising platform. Learners will also explore strategies for growing their network, using LinkedIn Analytics to track performance, and mastering the art of personal branding. Throughout the course, participants will gain expertise in developing LinkedIn-specific content strategies, using advanced targeting options for ads, and building a network that supports career or business objectives. By the end, learners will be equipped to maximise their LinkedIn efforts and achieve measurable results. LinkedIn Marketing Masterclass Curriculum: Module 01: Introduction to LinkedIn Marketing Module 02: Setting Up a Strong LinkedIn Profile Module 03: Building Your Network and Connections Module 04: Creating Compelling LinkedIn Content Module 05: Leveraging LinkedIn for Lead Generation Module 06: Using LinkedIn Ads to Boost Visibility Module 07: Understanding LinkedIn Analytics Module 08: Advanced LinkedIn Strategies for Business Growth (See full curriculum) Who is this course for? Individuals seeking to enhance their personal or business brand on LinkedIn. Professionals aiming to advance their careers or establish authority in their industry. Beginners with an interest in using LinkedIn for marketing or networking. Business owners and marketers wanting to utilise LinkedIn as a marketing channel. Career Path Social Media Manager Digital Marketing Specialist Content Strategist LinkedIn Ad Campaign Manager Brand Manager Business Development Executive

Start an IT Asset Department Course Overview This course provides a comprehensive introduction to starting and managing an IT Asset Department. Designed to equip learners with the knowledge required to establish and streamline IT asset management (ITAM) processes, it covers the key components and strategies for setting up the department, from understanding the department's purpose to maintaining accurate asset records. Learners will gain a solid understanding of the essential skills required to effectively manage IT assets, ensuring proper tracking, reporting, and operations. By the end of the course, learners will have a clear blueprint for setting up their own IT asset department, ready to implement best practices and improve operational efficiency. Course Description The course delves into the fundamental aspects of starting an IT Asset Department, starting with an overview of the department’s critical role within an organisation. Learners will explore the various functions and responsibilities of the IT Asset Management (ITAM) team, the tools needed to track assets, and how to populate and manage a central database. The course will also cover daily operations, including generating reports and ensuring compliance with industry standards. Learners will leave with the skills necessary to build a structured IT asset management department that can oversee asset tracking, database management, and reporting, ensuring better decision-making and efficiency in the management of IT resources. Start an IT Asset Department Curriculum Module 01: Introduction to the Course Module 02: The Missing Department Module 03: ITAM Team and Activities Module 04: Asset Tracking Tool Module 05: Populating the Database Module 06: Daily Operations and Reports Module 07: Was it a Boring Job? (See full curriculum) Who is this course for? Individuals seeking to develop skills in IT asset management. Professionals aiming to establish or optimise an IT asset management department. Beginners with an interest in IT operations and resource management. Managers looking to improve efficiency in IT asset tracking. Career Path IT Asset Manager IT Operations Specialist IT Procurement Manager Asset Tracking Coordinator IT Project Manager

Accounting and Finance Course Overview: This Accounting and Finance course offers a comprehensive understanding of the key principles and practices involved in accounting and finance. Learners will gain insights into essential financial concepts, from understanding the role of accountants to analysing financial statements. The course equips learners with the skills needed to navigate the world of financial management, preparing them for a wide range of opportunities in the finance industry. By completing this course, learners will be able to confidently approach financial tasks, from budgeting to risk management, and develop a clear understanding of the financial decision-making process. Course Description: This course covers the fundamentals of accounting and finance, offering in-depth insights into financial processes, accounting mechanics, and the preparation and analysis of financial statements. Learners will explore the role of accountants, budgeting and budgetary control, and financial markets, while also gaining a strong foundation in financial risk management and investment strategies. With a focus on analytical skills, the course will help learners develop a deeper understanding of financial operations and decision-making. By the end of the course, participants will be well-equipped to analyse financial data, manage risks, and apply their knowledge in a range of financial contexts. Accounting and Finance Curriculum: Module 01: Introduction to Accounting and Finance Module 02: The Role of an Accountant Module 03: Accounting Process and Mechanics Module 04: Introduction to Financial Statements Module 05: Financial Statement Analysis Module 06: Budgeting and Budgetary Control Module 07: Financial Markets Module 08: Financial Risk Management Module 09: Investment Management Module 10: Auditing (See full curriculum) Who is this course for? Individuals seeking to gain a solid understanding of accounting and finance. Professionals aiming to develop their financial management skills. Beginners with an interest in the finance or accounting industries. Those looking to transition into a finance-focused career. Career Path: Accountant Financial Analyst Budget Analyst Investment Advisor Risk Manager Auditor Finance Manager Banking and Financial Services

Warehouse Safety Course Overview: This Warehouse Safety course is designed to equip learners with essential knowledge and skills for ensuring safety in warehouse environments. The course covers critical safety practices, identifying hazards, managing risks, and applying appropriate health and safety measures to maintain a safe workplace. Learners will gain a comprehensive understanding of warehouse safety protocols, including safe handling of materials, equipment usage, and site safety. By the end of the course, learners will be well-prepared to implement safety standards and reduce risks, ensuring compliance with industry regulations and creating safer working conditions in warehouses. Course Description: The course delves into the key aspects of warehouse safety, focusing on managing health and safety risks, identifying hazards, and complying with regulatory standards. Topics include an introduction to warehouse safety, health and safety management systems, common warehouse hazards, manual and mechanical handling, and site-specific safety requirements. Learners will explore best practices for creating a safe warehouse environment, from proper handling techniques to ensuring equipment is used safely. The course is structured to foster a deep understanding of warehouse safety protocols, with content delivered through clear, accessible modules designed to support learners in applying these practices effectively. Upon completion, learners will be equipped to contribute to safer, more efficient warehouse operations. Warehouse Safety Curriculum: Module 01: The Role of Warehouse Module 02: Introduction to Warehouse Safety Module 03: Health and Safety Management in Warehouses Module 04: General Warehouse Hazards Module 05: Manual and Mechanical Handling Module 06: Site Safety (See full curriculum) Who is this course for? Individuals seeking to enhance their warehouse safety knowledge. Professionals aiming to improve safety practices in warehouse operations. Beginners with an interest in warehouse safety and risk management. Warehouse staff and supervisors looking to update their safety skills. Career Path: Warehouse Safety Officer Health and Safety Manager Warehouse Supervisor Logistics Coordinator Risk Management Consultant Warehouse Operations Manager

Microsoft Office 2016 Essentials is one of our best selling and most popular course. This course is suitable for anyone aspiring to or already working in Microsoft Office and looks at skills needed to improve in relevant industry or Microsoft Office. By taking this course you will gain the necessary skills to perform effectively in this field. The Microsoft Office 2016 Essentials is organised into 97 modules and includes everything you need to become successful in this profession. To make this course more accessible for you, we have designed it for both part-time and full-time students. You can study at your own pace or become an expert in just 16 hours! If you require support, our experienced tutors are always available to help you throughout the comprehensive syllabus of this course and answer all your queries through email. Why choose this course Earn an e-certificate upon successful completion. Accessible, informative modules taught by expert instructors Study in your own time, at your own pace, through your computer tablet or mobile device Benefit from instant feedback through mock exams and multiple-choice assessments Get 24/7 help or advice from our email and live chat teams Full Tutor Support on Weekdays Course Design The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace. You are taught through a combination of Video lessons Online study materials Mock exams Multiple-choice assessment Certificate of Achievement Endorsed Certificate of Achievement from the Quality Licence Scheme Once the course has been completed and the assessment has been passed, all students are entitled to receive an endorsed certificate. This will provide proof that you have completed your training objectives, and each endorsed certificate can be ordered and delivered to your address for only £119. Please note that overseas students may be charged an additional £10 for postage. CPD Certificate of Achievement from Janets Upon successful completion of the course, you will be able to obtain your course completion e-certificate. Print copy by post is also available at an additional cost of £9.99 and PDF Certificate at £4.99. Endorsement This course and/or training programme has been endorsed by the Quality Licence Scheme for its high-quality, non-regulated provision and training programmes. This course and/or training programme is not regulated by Ofqual and is not an accredited qualification. Your training provider will be able to advise you on any further recognition, for example progression routes into further and/or higher education. For further information please visit the Learner FAQs on the Quality Licence Scheme website. Method of Assessment In order to ensure the Quality Licensing scheme endorsed and CPD acknowledged certificate, learners need to score at least 60% pass marks on the assessment process. After submitting assignments, our expert tutors will evaluate the assignments and give feedback based on the performance. After passing the assessment, one can apply for a certificate. Course Content Excel 2016 Getting Started with Microsoft Office Excel 2016 Navigate the Excel User Interface 00:28:00 Use Excel Commands 00:10:00 Create and Save a Basic Workbook 00:19:00 Enter Cell Data 00:12:00 Use Excel Help 00:05:00 Performing Calculations Create Worksheet Formulas 00:15:00 Insert Functions 00:17:00 Reuse Formulas and Functions 00:17:00 Modifying a Worksheet Insert, Delete, and Adjust Cells, Columns, and Rows 00:10:00 Search for and Replace Data 00:09:00 Use Proofing and Research Tools 00:07:00 Formatting a Worksheet Apply Text Formats 00:17:00 Apply Number Format 00:08:00 Align Cell Contents 00:09:00 Apply Styles and Themes 00:12:00 Apply Basic Conditional Formatting 00:11:00 Create and Use Templates 00:07:00 Printing Workbooks Preview and Print a Workbook 00:10:00 Set Up the Page Layout 00:08:00 Configure Headers and Footers 00:07:00 Managing Workbooks Manage Worksheets 00:05:00 Manage Workbook and Worksheet Views 00:07:00 Manage Workbook Properties 00:05:00 Word 2016 Getting Started with Word Navigate in Microsoft Word 00:12:00 Create and Save Word Documents 00:24:00 Manage Your Workspace 00:06:00 Edit Documents 00:16:00 Preview and Print Documents 00:04:00 Customize the Word Environment 00:08:00 Formatting Text and Paragraphs Apply Character Formatting 00:17:00 Control Paragraph Layout 00:19:00 Align Text Using Tabs 00:07:00 Display Text in Bulleted or Numbered Lists 00:03:00 Apply Borders and Shading 00:04:00 Working More Efficiently Make Repetitive Edits 00:06:00 Apply Repetitive Formatting 00:10:00 Use Styles to Streamline Repetitive Formatting Tasks 00:14:00 Managing Lists Sort a List 00:05:00 Format a List 00:06:00 Adding Tables Insert a Table 00:07:00 Modify a Table 00:06:00 Format a Table 00:03:00 Convert Text to a Table 00:04:00 Inserting Graphic Objects Insert Symbols and Special Characters 00:04:00 Add Images to a Document 00:11:00 Controlling Page Appearance Apply a Page Border and Color 00:03:00 Add Headers and Footers 00:06:00 Control Page Layout 00:05:00 Add a Watermark 00:04:00 Preparing to Publish a Document Check Spelling Grammar and Readability 00:07:00 Use Research Tools 00:06:00 Check Accessibility 00:03:00 Save a Document to Other Formats 00:04:00 Workbooks - Microsoft Word 2016 (Beginner) Workbooks - Microsoft Word 2019 00:00:00 PowerPoint 2016 PowerPoint Interface Navigate the PowerPoint Environment 00:28:00 View and Navigate a Presentation 00:15:00 Create and Save a PowerPoint Presentation 00:13:00 Use PowerPoint Help 00:10:00 Presentation Basics Select a Presentation Type 00:08:00 Edit Text 00:13:00 Build a Presentation 00:27:00 Formatting Format Characters 00:11:00 Format Paragraphs 00:16:00 Format Text Boxes 00:09:00 Inserting Options Insert Images 00:10:00 Insert Shapes 00:15:00 Working with Objects Edit Objects 00:16:00 Format Objects 00:06:00 Group Objects 00:04:00 Arrange Objects 00:07:00 Animate Objects 00:07:00 Table Create a Table 00:09:00 Format a Table 00:03:00 Insert a Table from Other Microsoft Office Applications 00:06:00 Charts Create a Chart 00:10:00 Format a Chart 00:10:00 Insert a Chart from Microsoft Excel 00:05:00 Review and Presentatin Review Your Presentation 00:11:00 Apply Transitions 00:05:00 Print Your Presentation 00:05:00 Deliver Your Presentation 00:08:00 Access 2016 Introduction to Access Orientation to Microsoft Access 00:39:00 Create a Simple Access Database 00:10:00 Get Help and Configure Options in Microsoft Access 00:06:00 Modify Data Modify Table Data 00:17:00 Sort and Filter Records 00:05:00 Working with Queries Create Basic Queries 00:15:00 Sort and Filter Data in a Query 00:14:00 Perform Calculations in a Query 00:08:00 Access Forms Create Basic Access Forms 00:07:00 Work with Data on Access Forms 00:23:00 Working with Reports Create a Report 00:23:00 Add Controls to a Report 00:12:00 Enhance the Appearance of a Report 00:05:00 Prepare a Report for Print 00:03:00 Organize Report Information 00:15:00 Format Reports 00:12:00 Assignment Assignment - Microsoft Office 2016 Essentials 3 weeks, 3 days Order Your Certificate Order your Certificate QLS 00:00:00 Frequently Asked Questions Are there any prerequisites for taking the course? There are no specific prerequisites for this course, nor are there any formal entry requirements. All you need is an internet connection, a good understanding of English and a passion for learning for this course. Can I access the course at any time, or is there a set schedule? You have the flexibility to access the course at any time that suits your schedule. Our courses are self-paced, allowing you to study at your own pace and convenience. How long will I have access to the course? For this course, you will have access to the course materials for 1 year only. This means you can review the content as often as you like within the year, even after you've completed the course. However, if you buy Lifetime Access for the course, you will be able to access the course for a lifetime. Is there a certificate of completion provided after completing the course? Yes, upon successfully completing the course, you will receive a certificate of completion. This certificate can be a valuable addition to your professional portfolio and can be shared on your various social networks. Can I switch courses or get a refund if I'm not satisfied with the course? We want you to have a positive learning experience. If you're not satisfied with the course, you can request a course transfer or refund within 14 days of the initial purchase. How do I track my progress in the course? Our platform provides tracking tools and progress indicators for each course. You can monitor your progress, completed lessons, and assessments through your learner dashboard for the course. What if I have technical issues or difficulties with the course? If you encounter technical issues or content-related difficulties with the course, our support team is available to assist you. You can reach out to them for prompt resolution.

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

If you aim to enhance your Engineering Management skills, our comprehensive Engineering Management course is perfect for you. Designed for success, this Engineering Management course covers everything from basics to advanced topics in Engineering Management. Each lesson in this Engineering Management course is crafted for easy understanding, enabling you to become proficient in Engineering Management. Whether you are a beginner or looking to sharpen your existing skills, this Engineering Management is the ideal choice. With our Engineering Management exclusive bundle, you will get a PDF Certificate, PDF Transcript and Digital Student ID Card (worth £50) Absolutely FREE. Courses are Included in This Engineering Management Bundle: Course 01: Energy Engineer Course Course 02: Solar Energy Course 03: Essential Hydro Electric Power Plant Training Course 04: Electrical Engineering DC Circuit Analysis Course 05: Electrical Power System and High Voltage Engineering Course 06: Heating, Ventilation & Air Conditioning (HVAC) Technician Why Choose Our Engineering Management Course? FREE Engineering Management certificate accredited Get a free student ID card with Engineering Management Training Get instant access to this Engineering Management course. Learn Engineering Management from anywhere in the world The Engineering Management is affordable and simple to understand The Engineering Management is an entirely online, interactive lesson with voiceover audio Lifetime access to the Engineering Management course materials The Engineering Management comes with 24/7 tutor support So enrol now in this Engineering Management Today to advance your career! Start your learning journey straightaway! This Engineering Management's curriculum has been designed by Engineering Management experts with years of Engineering Management experience behind them. The Engineering Management course is extremely dynamic and well-paced to help you understand Engineering Management with ease. You'll discover how to master the Engineering Management skill while exploring relevant and essential topics. Assessment Process Once you have completed all the courses in the Engineering Management bundle, you can assess your skills and knowledge with an optional assignment. Our expert trainers will assess your assignment and give you feedback afterwards. CPD 60 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Engineering Management bundle is suitable for everyone. Requirements You will not need any prior background or expertise. Career path This Engineering Management bundle will allow you to kickstart or take your career in the related sector to the next stage. Certificates CPD Accredited Digital certificate Digital certificate - Included CPD Accredited Hard copy certificate Hard copy certificate - £29 If you are an international student, you will be required to pay an additional fee of 10 GBP for international delivery, and 4.99 GBP for delivery within the UK, for each certificate

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