11725 Marketing courses in Cardiff delivered Online

Overview This comprehensive course on Machine Learning for Predictive Maps in Python and Leaflet will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Machine Learning for Predictive Maps in Python and Leaflet comes with accredited certification from CPD, 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 Machine Learning for Predictive Maps in Python and Leaflet. It is available to all students, of all academic backgrounds. Requirements Our Machine Learning for Predictive Maps in Python and Leaflet 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 Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 9 sections • 33 lectures • 05:59:00 total length •Introduction: 00:10:00 •Python Installation: 00:04:00 •Creating a Python Virtual Environment: 00:07:00 •Installing Django: 00:09:00 •Installing Visual Studio Code IDE: 00:06:00 •Installing PostgreSQL Database Server Part 1: 00:03:00 •Installing PostgreSQL Database Server Part 2: 00:09:00 •Adding the settings.py Code: 00:07:00 •Creating a Django Model: 00:10:00 •Adding the admin.py Code: 00:21:00 •Creating Template Files: 00:10:00 •Creating Django Views: 00:10:00 •Creating URL Patterns for the REST API: 00:09:00 •Adding the index.html code: 00:04:00 •Adding the layout.html code: 00:19:00 •Creating our First Map: 00:10:00 •Adding Markers: 00:16:00 •Installing Jupyter Notebook: 00:07:00 •Data Pre-processing: 00:31:00 •Model Selection: 00:20:00 •Model Evaluation and Building a Prediction Dataset: 00:11:00 •Creating a Django Model: 00:04:00 •Embedding the Machine Learning Pipeline in the Application: 00:42:00 •Creating a URL Endpoint for our Prediction Dataset: 00:06:00 •Creating Multiple Basemaps: 00:09:00 •Creating the Marker Layer Group: 00:10:00 •Creating the Point Layer Group: 00:12:00 •Creating the Predicted Point Layer Group: 00:07:00 •Creating the Predicted High Risk Point Layer Group: 00:12:00 •Creating the Legend: 00:09:00 •Creating the Prediction Score Legend: 00:15:00 •Resource: 00:00:00 •Assignment - Machine Learning for Predictive Maps in Python and Leaflet: 00:00:00

Overview This comprehensive course on Kotlin for Android will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Kotlin for Android comes with accredited certification from CPD, 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 Kotlin for Android. It is available to all students, of all academic backgrounds. Requirements Our Kotlin for Android 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 Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 9 sections • 96 lectures • 22:57:00 total length •Promo Video: 00:02:00 •Introduction: 00:01:00 •First look at Kotlin: 00:04:00 •Install JDK and Android Studio for Mac: 00:13:00 •Install JDK and Android Studio for Windows: 00:10:00 •Android Emulator: 00:12:00 •DinnerDecider Part 1: 00:21:00 •DinnerDecider Part 2: 00:24:00 •DinnerDecider Part 3: 00:11:00 •Run on a Real Device!: 00:07:00 •Run on a Real Device from Windows!: 00:06:00 •Installing IntellijIDEA for Mac: 00:09:00 •Installing IntellijIDEA for Windows: 00:09:00 •Variables with Kotlin: 00:17:00 •Strings with Kotlin: 00:22:00 •Numbers and Operators with Kotlin: 00:04:00 •Functions with Kotlin: 00:17:00 •Conditional Logic with Kotlin: 00:19:00 •Collections with Kotlin: 00:19:00 •Loops with Kotlin: 00:09:00 •Nullability with Kotlin: 00:18:00 •Classes and Inheritance with Kotlin: 00:28:00 •Lambda with Kotlin: 00:23:00 •Intro to Git and Terminal: 00:01:00 •Git and Version Control - The Fun Way!: 00:12:00 •Terminal Basics - Changing Directories: 00:06:00 •Terminal Basics - Creating Directories and Files: 00:05:00 •Terminal Basics - Copying and Renaming Files: 00:09:00 •Terminal Basics - Deleting Files and Directories: 00:06:00 •Terminal Basics - Git Basics: 00:17:00 •Setting up Github: 00:05:00 •Working with Local and Remote Repositories: 00:11:00 •Handling Git Merge Conflicts: 00:17:00 •Using Git with Android Studio: 00:13:00 •Importing Projects and Merge Conflicts: 00:15:00 •Intro to Android Constraint Layout: 00:16:00 •Phone Portrait Layout Part 1: 00:20:00 •Phone Portrait Layout Part 2: 00:19:00 •Tablet Portrait Layout: 00:27:00 •Tablet Landscape: 00:24:00 •Intro to the app: 00:02:00 •Welcome Screen Layout: 00:22:00 •League Selection Layout: 00:21:00 •Intents and Context: 00:20:00 •Lifecycle Overview: 00:04:00 •Lifecycle in action: 00:13:00 •Skill Selection Layout: 00:16:00 •Buttoning up the Activities: 00:18:00 •Toggling the Skills: 00:21:00 •Parcelable: 00:13:00 •Instance State: 00:13:00 •Swoosh Challenge: 00:01:00 •CoderSwag Introduction: 00:02:00 •Data Structure: 00:19:00 •Simple ListView: 00:14:00 •Custom List Adapter: 00:20:00 •View Holder: 00:12:00 •RecyclerView Adapter: 00:29:00 •Recycler View Clicks: 00:13:00 •Product List View: 00:10:00 •Product Recycle Adapter: 00:23:00 •Smack Introduction: 00:04:00 •Project Setup: 00:23:00 •MainActivity UI Setup: 00:18:00 •Login Activity UI: 00:12:00 •CreateUserActivity UI: 00:14:00 •Generate Avatar and Background Color: 00:15:00 •Webrequests and APIs: 00:09:00 •Hosting API: 00:20:00 •Local Hosting API: 00:20:00 •Our First Web Request: 00:20:00 •Registering a User: 00:18:00 •Login User: 00:27:00 •Creating a User: 00:23:00 •Polishing up Create User Activity: 00:17:00 •Broadcast Receiver: 00:26:00 •Find User: 00:20:00 •Polishing up the Login Activity: 00:11:00 •Add Channel Dialog: 00:15:00 •Sockets: 00:17:00 •Sockets.On: 00:21:00 •Downloading Channels: 00:26:00 •Shared Preferences: 00:24:00 •Channel Selection: 00:12:00 •Send and Receive Message: 00:18:00 •Downloading Messages: 00:21:00 •Displaying Messages: 00:23:00 •Date Formatter: 00:17:00 •Intro to Section - Google Play Store: 00:02:00 •Side Loading: 00:10:00 •Registering Account: 00:04:00 •Removing Logs: 00:06:00 •Generate Signed APK: 00:06:00 •Store Listing: 00:18:00 •Published!: 00:06:00 •Assignment -Kotlin for Android: 00:00:00

The Industrial Microbiology Fundamentals Course offers an insightful dive into the world of microorganisms and their vital role in industries such as food production, pharmaceuticals, and biotechnology. Whether you're aiming to broaden your scientific knowledge or looking to boost your career in the field, this course will give you a solid understanding of microbiological principles, their applications, and how to work with microorganisms in industrial settings. You'll explore key concepts like fermentation, sterilisation processes, and the impact of microorganisms on product safety and quality, all from the comfort of your own space. Through engaging, interactive content, this course breaks down complex microbiological concepts into easy-to-digest lessons. It’s perfect for anyone with a curiosity for science or those already working in industries where microbiology plays a critical role. Expect to gain a thorough grounding in the fundamentals that will help you contribute to quality assurance, innovation, and even problem-solving in industrial processes. With no need for physical attendance, this course brings the knowledge directly to you, enabling flexible learning that fits your lifestyle. Key Features: The key features of Industrial Microbiology Fundamentals Course: This Industrial Microbiology Fundamentals Couse is CPD Accredited FREE PDF + Hardcopy certificate Fully online, interactive course Self-paced learning and laptop, tablet and smartphone-friendly 24/7 Learning Assistance Discounts on bulk purchases of Industrial Microbiology Fundamentals Course Course Curriculum: The course curriculum of Industrial Microbiology Fundamentals Course: Module 01: Introduction to Industrial Microbiology Module 02: Microbial Physiology and Growth Module 03: Microbial Genetics and Genetic Engineering Module 04: Tools and Techniques in Industrial Microbiology Module 05: Bioprocessing and Bioreactors Module 06: Industrial Applications of Microbes Module 07: Food and Beverage Microbiology Module 08: Environmental Microbiology Module 09: Biotechnology and the Future Learning Outcomes of Industrial Microbiology Fundamentals: Understand industrial Microbiology' role in diverse applications and processes. Explore the microbiology, microbial growth mechanisms and their physiological adaptations in industries. Examine genetic engineering's impact on microbial traits for industrial innovation. Master tools and techniques essential for effective industrial microbiology practices. Gain insights into bioprocessing intricacies and the functionality of bioreactors. Apply microbial knowledge to food, beverages, and environmental challenges in industries. Accreditation This Industrial Microbiology Fundamentals course is CPD Quality Standards (CPD QS) accredited, providing you with up-to-date skills and knowledge and helping you to become more competent and effective in your chosen field. Certificate After completing this Industrial Microbiology Fundamentals course, you will get a FREE Digital Certificate from Training Express. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Aspiring microbiologists and biotechnologists can enroll this Industrial Microbiology Fundamentals course Scientists and researchers aiming to enhance their Microbiology knowledge. Professionals in food, beverage, and environmental sectors desiring specialized expertise. Bioprocessing technicians interested in advancing their skills in microbial applications. Individuals keen on exploring the future possibilities of biotechnology in industries. Career path Microbiologist in Research and Development Bioprocess Engineer in Pharmaceutical Manufacturing Food Microbiologist in Quality Control Environmental Consultant in Waste Management Genetic Engineer in Biotechnology Companies Bioreactor Operator in Industrial Production Facilities Certificates Digital certificate Digital certificate - Included Once you've successfully completed your course, you will immediately be sent a FREE digital certificate. Hard copy certificate Hard copy certificate - Included Also, you can have your FREE printed certificate delivered by post (shipping cost £3.99 in the UK). For all international addresses outside of the United Kingdom, the delivery fee for a hardcopy certificate will be only £10. Our certifications have no expiry dates, although we do recommend that you renew them every 12 months.

QLS Endorsed + CPD QS Accredited - Dual Certification | Instant Access | 24/7 Tutor Support

Overview This comprehensive course on GDPR UK Training Online will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This GDPR UK Training Online comes with accredited certification from CPD, 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 GDPR UK Training Online. It is available to all students, of all academic backgrounds. Requirements Our GDPR UK Training Online 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 Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 6 sections • 6 lectures • 01:12:00 total length •The Purpose and Principles of the UK GDPR: 00:11:00 •The Legal Foundations of GDPR: 00:12:00 •The Governance of GDPR: 00:12:00 •Protecting Personal Data: 00:13:00 •Exemptions to GDPR: 00:12:00 •International Transactions and National Security: 00:12:00

Overview This comprehensive course on JavaScript Project - Game Development with JS will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This JavaScript Project - Game Development with JS comes with accredited certification from CPD, 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 JavaScript Project - Game Development with JS. It is available to all students, of all academic backgrounds. Requirements Our JavaScript Project - Game Development with JS 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 Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 2 sections • 12 lectures • 01:45:00 total length •Introduction to Beware of the Jolly Roger: 00:03:00 •Creating the HTML File: 00:12:00 •Adding CSS to it: 00:13:00 •Understanding Math Random: 00:12:00 •Adding Javascript: 00:05:00 •Calling the Function: 00:10:00 •Clicked on 10 Flags: 00:10:00 •Jolly Roger: 00:11:00 •Win or Lose: 00:06:00 •Flag is Displayed: 00:03:00 •Understanding Arrays: 00:12:00 •Different Flag Opening at Every Click: 00:08:00

Overview In this age of technology, data science and machine learning skills have become highly demanding skill sets. In the UK a skilled data scientist can earn around £62,000 per year. If you are aspiring for a career in the IT industry, secure these skills before you start your journey. The Complete Machine Learning & Data Science Bootcamp 2023 course can help you out. This course will introduce you to the essentials of Python. From the highly informative modules, you will learn about NumPy, Pandas and matplotlib. The course will help you grasp the skills required for using python for data analysis and visualisation. After that, you will receive step-by-step guidance on Python for machine learning. The course will then focus on the concepts of Natural Language Processing.  Upon successful completion of the course, you will receive a certificate of achievement. This certificate will help you elevate your resume. So enrol today! 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? Anyone with an interest in learning about data science can enrol in this course. It will help aspiring professionals develop the basic skills to build a promising career. Professionals already working in this can take the course to improve their skill sets. Requirements The students will not require any formal qualifications or previous experience to enrol in this course. Anyone can learn from the course anytime from anywhere through smart devices like laptops, tabs, PC, and smartphones with stable internet connections. They can complete the course according to their preferable pace so, there is no need to rush.   Career Path This course will equip you with valuable knowledge and effective skills in this area. After completing the course, you will be able to explore career opportunities in the fields such as Data Analyst Data Scientist Data Manager Business Analyst Course Curriculum 18 sections • 98 lectures • 23:48:00 total length •Welcome & Course Overview6: 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 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 •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 •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 •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 •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 •Pandas Built-in Data Visualization: 00:34:00 •Pandas Data Visualization Exercises Overview: 00:03:00 •Panda Data Visualization Exercises Solutions: 00:13:00 •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): 00:17:00 •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 •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 •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 •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 •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 •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 •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 •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 •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 •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

Overview This comprehensive course on House Cleaning will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This House Cleaning comes with accredited certification from CPD, 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 House Cleaning. It is available to all students, of all academic backgrounds. Requirements Our House Cleaning 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 Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 2 sections • 9 lectures • 03:18:00 total length •Module 01: Introduction to House Cleaning: 00:21:00 •Module 02: Cleaning Equipment and Ingredients: 00:28:00 •Module 03: Cleaning the Kitchen: 00:37:00 •Module 04: Cleaning the Bedroom and Livingroom: 00:24:00 •Module 05: Bathroom Cleaning: 00:22:00 •Module 06: Cleaning and Organising a Kid's Room: 00:23:00 •Module 07: Cleaning Home Office: 00:22:00 •Module 08: Cleaning Walls: 00:21:00 •Assignment - House Cleaning: 00:00:00

Overview This comprehensive course on Baking & Cake Decorating Online Diploma Course will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Baking & Cake Decorating Online Diploma Course 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 Baking & Cake Decorating Online Diploma Course. It is available to all students, of all academic backgrounds Requirements Our Baking & Cake Decorating Online Diploma Course 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 17 sections • 17 lectures • 06:02:00 total length •Basic Concepts of Baking: 00:16:00 •Basic Ingredients of Baking: 00:28:00 •Glossary and Equipment Used in Baking: 00:36:00 •Types of Cakes: 00:14:00 •Baking the Cake: 00:20:00 •Baking Principles: 00:25:00 •Cake Decorating Recipes: 00:26:00 •Cake Decorating Ideas: 00:21:00 •Frosting and Icing: 00:24:00 •Working with Different Pastes: 00:20:00 •Working with Glazes: 00:28:00 •How to Stack a Cake: 00:21:00 •Piping and Writing: 00:24:00 •Health, Safety and Food Hygiene: 00:20:00 •Troubleshooting: 00:20:00 •Cake Decorating Business: 00:19:00 •Assignment - Baking & Cake Decorating Online Diploma Course: 00:00:00

Overview This comprehensive course on Microsoft Outlook - 25 Must-Know Tips and Tricks will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Microsoft Outlook - 25 Must-Know Tips and Tricks comes with accredited certification from CPD, 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 Microsoft Outlook - 25 Must-Know Tips and Tricks. It is available to all students, of all academic backgrounds. Requirements Our Microsoft Outlook - 25 Must-Know Tips and Tricks 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 Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 2 sections • 6 lectures • 01:00:00 total length •Unit 01 - Must-Know Tips and Tricks of Microsoft Outlook 1-5: 00:08:00 •Unit 02 - Must-Know Tips and Tricks of Microsoft Outlook 6-10: 00:11:00 •Unit 03 - Must-Know Tips and Tricks of Microsoft Outlook 11-15: 00:16:00 •Unit 04 - Must-Know Tips and Tricks of Microsoft Outlook 16-20: 00:10:00 •Unit 05 - Must-Know Tips and Tricks of Microsoft Outlook 21-25: 00:15:00 •Resource- Microsoft Outlook - 25 Must-Know Tips and Tricks: 00:00:00