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Overview Mastering data science skills and expertise can open new doors of opportunities for you in a wide range of fields. Learn the fundamentals and develop a solid grasp of Python data science with the comprehensive Data Science with Python course. This course is designed to assist you in securing a valuable skill set and boosting your career. This course will provide you with quality training on the fundamentals of data analysis with Python. From the step-by-step learning process, you will learn the techniques of setting up the system. Then the course will teach you Python data structure and functions. You will receive detailed lessons on NumPy, Matplotlib, and Pandas. Furthermore, you will develop the skills for Algorithm Evaluation Techniques, visualising datasets and much more. After completing the course you will receive a certificate of achievement. This certificate will help you create an impressive resume. So join 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? This course Data Science with Python course is ideal for beginners in data science. It will help them develop a solid grasp of Python and help them pursue their dream career in the field of data science. 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 And much more! Course Curriculum 90 sections • 90 lectures • 10:19:00 total length •Course Overview & Table of Contents: 00:09:00 •Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types: 00:05:00 •Introduction to Machine Learning - Part 2 - Classifications and Applications: 00:06:00 •System and Environment preparation - Part 1: 00:04:00 •System and Environment preparation - Part 2: 00:06:00 •Learn Basics of python - Assignment 1: 00:10:00 •Learn Basics of python - Assignment 2: 00:09:00 •Learn Basics of python - Functions: 00:04:00 •Learn Basics of python - Data Structures: 00:12:00 •Learn Basics of NumPy - NumPy Array: 00:06:00 •Learn Basics of NumPy - NumPy Data: 00:08:00 •Learn Basics of NumPy - NumPy Arithmetic: 00:04:00 •Learn Basics of Matplotlib: 00:07:00 •Learn Basics of Pandas - Part 1: 00:06:00 •Learn Basics of Pandas - Part 2: 00:07:00 •Understanding the CSV data file: 00:09:00 •Load and Read CSV data file using Python Standard Library: 00:09:00 •Load and Read CSV data file using NumPy: 00:04:00 •Load and Read CSV data file using Pandas: 00:05:00 •Dataset Summary - Peek, Dimensions and Data Types: 00:09:00 •Dataset Summary - Class Distribution and Data Summary: 00:09:00 •Dataset Summary - Explaining Correlation: 00:11:00 •Dataset Summary - Explaining Skewness - Gaussian and Normal Curve: 00:07:00 •Dataset Visualization - Using Histograms: 00:07:00 •Dataset Visualization - Using Density Plots: 00:06:00 •Dataset Visualization - Box and Whisker Plots: 00:05:00 •Multivariate Dataset Visualization - Correlation Plots: 00:08:00 •Multivariate Dataset Visualization - Scatter Plots: 00:05:00 •Data Preparation (Pre-Processing) - Introduction: 00:09:00 •Data Preparation - Re-scaling Data - Part 1: 00:09:00 •Data Preparation - Re-scaling Data - Part 2: 00:09:00 •Data Preparation - Standardizing Data - Part 1: 00:07:00 •Data Preparation - Standardizing Data - Part 2: 00:04:00 •Data Preparation - Normalizing Data: 00:08:00 •Data Preparation - Binarizing Data: 00:06:00 •Feature Selection - Introduction: 00:07:00 •Feature Selection - Uni-variate Part 1 - Chi-Squared Test: 00:09:00 •Feature Selection - Uni-variate Part 2 - Chi-Squared Test: 00:10:00 •Feature Selection - Recursive Feature Elimination: 00:11:00 •Feature Selection - Principal Component Analysis (PCA): 00:09:00 •Feature Selection - Feature Importance: 00:06:00 •Refresher Session - The Mechanism of Re-sampling, Training and Testing: 00:12:00 •Algorithm Evaluation Techniques - Introduction: 00:07:00 •Algorithm Evaluation Techniques - Train and Test Set: 00:11:00 •Algorithm Evaluation Techniques - K-Fold Cross Validation: 00:09:00 •Algorithm Evaluation Techniques - Leave One Out Cross Validation: 00:05:00 •Algorithm Evaluation Techniques - Repeated Random Test-Train Splits: 00:07:00 •Algorithm Evaluation Metrics - Introduction: 00:09:00 •Algorithm Evaluation Metrics - Classification Accuracy: 00:08:00 •Algorithm Evaluation Metrics - Log Loss: 00:03:00 •Algorithm Evaluation Metrics - Area Under ROC Curve: 00:06:00 •Algorithm Evaluation Metrics - Confusion Matrix: 00:10:00 •Algorithm Evaluation Metrics - Classification Report: 00:04:00 •Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction: 00:06:00 •Algorithm Evaluation Metrics - Mean Absolute Error: 00:07:00 •Algorithm Evaluation Metrics - Mean Square Error: 00:03:00 •Algorithm Evaluation Metrics - R Squared: 00:04:00 •Classification Algorithm Spot Check - Logistic Regression: 00:12:00 •Classification Algorithm Spot Check - Linear Discriminant Analysis: 00:04:00 •Classification Algorithm Spot Check - K-Nearest Neighbors: 00:05:00 •Classification Algorithm Spot Check - Naive Bayes: 00:04:00 •Classification Algorithm Spot Check - CART: 00:04:00 •Classification Algorithm Spot Check - Support Vector Machines: 00:05:00 •Regression Algorithm Spot Check - Linear Regression: 00:08:00 •Regression Algorithm Spot Check - Ridge Regression: 00:03:00 •Regression Algorithm Spot Check - Lasso Linear Regression: 00:03:00 •Regression Algorithm Spot Check - Elastic Net Regression: 00:02:00 •Regression Algorithm Spot Check - K-Nearest Neighbors: 00:06:00 •Regression Algorithm Spot Check - CART: 00:04:00 •Regression Algorithm Spot Check - Support Vector Machines (SVM): 00:04:00 •Compare Algorithms - Part 1 : Choosing the best Machine Learning Model: 00:09:00 •Compare Algorithms - Part 2 : Choosing the best Machine Learning Model: 00:05:00 •Pipelines : Data Preparation and Data Modelling: 00:11:00 •Pipelines : Feature Selection and Data Modelling: 00:10:00 •Performance Improvement: Ensembles - Voting: 00:07:00 •Performance Improvement: Ensembles - Bagging: 00:08:00 •Performance Improvement: Ensembles - Boosting: 00:05:00 •Performance Improvement: Parameter Tuning using Grid Search: 00:08:00 •Performance Improvement: Parameter Tuning using Random Search: 00:06:00 •Export, Save and Load Machine Learning Models : Pickle: 00:10:00 •Export, Save and Load Machine Learning Models : Joblib: 00:06:00 •Finalizing a Model - Introduction and Steps: 00:07:00 •Finalizing a Classification Model - The Pima Indian Diabetes Dataset: 00:07:00 •Quick Session: Imbalanced Data Set - Issue Overview and Steps: 00:09:00 •Iris Dataset : Finalizing Multi-Class Dataset: 00:09:00 •Finalizing a Regression Model - The Boston Housing Price Dataset: 00:08:00 •Real-time Predictions: Using the Pima Indian Diabetes Classification Model: 00:07:00 •Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset: 00:03:00 •Real-time Predictions: Using the Boston Housing Regression Model: 00:08:00 •Resources - Data Science & Machine Learning with Python: 00:00:00

Overview Know how to protect personal data and ensure that neither you nor your clients experience fraud or serious criminal acts. This comprehensive course delivers all the information needed to follow the UK's Data Protection Act and safeguard confidential details from exposure. The Data Protection and Data Security Level 2 course is an invaluable overview of crucial data legislation for commercial businesses and individuals. You will be made aware of the latest threats and methods by which a computer can be illegally accessed, and vital material can be stolen. Alongside this, you will be enlightened as to the available security protocols, and the actions that you must legally take. 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 Data Protection and Data Security Level 2. It is available to all students, of all academic backgrounds. Requirements Our Data Protection and Data Security Level 2 is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible on tablets and smartphones so you can access your course on wifi, 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 2 sections • 6 lectures • 02:02:00 total length •GDPR Basics: 00:22:00 •GDPR Explained: 00:17:00 •Lawful Basis for Preparation: 00:29:00 •Rights and Breaches: 00:25:00 •Responsibilities and Obligations: 00:29:00 •Assignment - Data Protection and Data Security Level 2: 00:00:00

Course Overview: Are you ready to unlock the world of digital possibilities by understanding the art and science of data analytics? We live in an era where data back every decision and every action requires insightful analysis. Clive Humby said, "Data is the new oil, and it's the new oil, so it's an invaluable resource for companies worldwide. This comprehensive course covers a broad spectrum of data analytics, starting with an engaging 'Introduction to the World of Data,' before delving into the fundamental components like the 'Basics of Data Analytics,' 'Statistics for Data Analytics,' and the 'Actions Taken in the Data Analysis Process.' Each subsequent module is carefully designed to guide you through various stages of data analytics. You'll explore 'Data Mining,' work with 'Excel for Data Analytics,' and discover 'Tools for Data Analytics.' The curriculum wraps up with a focus on 'Data-Analytic Thinking' and 'Data Visualisation.' Enrol today and start your journey to becoming a data analytics expert! Key Features of the Course: This course comes with a CPD certificate, affirming your proficiency in data analytics. It offers 24/7 learning assistance to ensure you get the most out of your learning journey. The content is presented in easy-to-understand and engaging learning materials, carefully curated to make your journey in data analytics enlightening. Who is This Course For? This course suits professionals seeking to leverage data analytics in their respective fields, individuals aspiring to venture into the data science arena, and students keen to acquire contemporary skills for the digital age. What You Will Learn: Understand the fundamental concepts of data analytics. Apply statistical techniques to analyse large data sets. Implement effective strategies for data collection and storage. Master the art of data mining and extraction of valuable insights. Utilise Excel and other tools effectively for data analysis. Develop a data-analytic mindset for problem-solving. Translate data insights into compelling visualisations. Why Enrol in This Course: This course will open doors to many opportunities. You will learn from top-notch professionals, utilise quality learning materials and have access to trending and recently updated curriculum. Requirements: A basic understanding of computers A willingness to learn Career Path: The expertise gained from this Data Analytics course can pave your way into a variety of professions, such as: Data Analyst (£30,000-£60,000) Business Analyst (£35,000-£70,000) Market Research Analyst (£27,000-£55,000) Operations Analyst (£31,000-£62,000) Quantitative Analyst (£45,000-£85,000) Data Scientist (£50,000-£90,000) Data Engineer (£35,000-£75,000) Certification: On successful completion of this course, you will receive a CPD certificate, testifying your mastery in the field of data analytics. With this recognition, you can confidently showcase your skills and expertise in the professional world. Data analytics is a powerful tool that can be used to make better decisions, improve efficiency, and drive innovation. If you want to join this growing field, this course is for you! FAQ What do you mean by data analytics? Data analytics is the process of collecting, cleaning, analyzing, and interpreting data to extract insights. What data analytics actually do? Data analytics helps businesses make better decisions by providing them with insights into their data. This can include insights into customer behavior, market trends, and product performance. What are the 5 data analytics? The 5 data analytics are: Descriptive analytics: This type of analytics describes what has happened in the past. Diagnostic analytics: This type of analytics identifies the root cause of problems. Predictive analytics: This type of analytics predicts what will happen in the future. Prescriptive analytics: This type of analytics recommends actions to take based on the predictions. Visual analytics: This type of analytics uses visual representations of data to make it easier to understand. What is data analytics examples? Here are some examples of data analytics: A retailer uses data analytics to track customer behaviour and identify trends. A bank uses data analytics to predict which customers are likely to default on their loans. A healthcare provider uses data analytics to identify patients who are at risk for certain diseases. What are 4 types of analytics? The 4 types of analytics are: Descriptive analytics: This type of analytics describes what has happened in the past. Diagnostic analytics: This type of analytics identifies the root cause of problems. Predictive analytics: This type of analytics predicts what will happen in the future. Prescriptive analytics: This type of analytics recommends actions to take based on the predictions. Why do we use data analytics? We use data analytics to make better decisions, improve efficiency, and drive innovation. Here are some of the benefits of using data analytics: Better decision-making: Data analytics can help businesses make better decisions by providing them with insights into their data. Improved efficiency: Data analytics can help businesses improve efficiency by identifying areas where they can save time and money. Driven innovation: Data analytics can help businesses drive innovation by identifying new opportunities and trends. Course Curriculum 13 sections • 13 lectures • 12:25:00 total length •Introduction to the World of Data: 01:00:00 •Basics of Data Analytics: 00:40:00 •Statistics for Data Analytics: 01:00:00 •Actions Taken in the Data Analysis Process: 00:55:00 •Gathering the Right Information: 01:00:00 •Storing Data: 01:15:00 •Data Mining: 01:00:00 •Excel for Data Analytics: 01:20:00 •Tools for Data Analytics: 01:20:00 •Data-Analytic Thinking: 01:10:00 •Data Visualisation That Clearly Describes Insights: 00:45:00 •Data Visualization Tools: 01:00:00 •Assignment - Data Analytics: 00:00:00

Overview We live in an era where data, data and data surround us. You need to share something one way or another to use most of the services around you; just name it. Whether it is about reading a blog post, visiting a website, surveying for a service, seeing any social media post, or looking for offers, you must share some data, if not anything, and your email, at least.But do you ever realise why, in all these situations, you need to share your data? Because your data is oxygen in this world. Companies want to know what you are thinking or what you are about to do before you even think or are about to do it. Sounds crazy, right? Don't be.It is a new branch of knowledge and profession. A data analyst gathers, cleans, and evaluates data sets to find an explanation or resolve an issue. The most common tool for doing these is Microsoft Excel. Our Data Analysis in Microsoft Excel Complete Training course will prepare you to use Microsft Excel in data analysis. What Can You Expect To Achieve By Completing This Course? Proficiency in modifying and organising data within Excel worksheets. Skills in working with lists and effectively analysing data. Ability to create visual representations of data using charts and graphs. Competence in using PivotTables and PivotCharts for data summarisation and analysis. Command in managing multiple worksheets, workbooks, and advanced Excel functions for data manipulation and forecasting. 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 Data Analysis in Microsoft Excel Complete Training. It is available to all students, of all academic backgrounds. Requirements Our Data Analysis in Microsoft Excel Complete Training is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible on tablets and smartphones so you can access your course on wifi, 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 11 sections • 31 lectures • 04:46:00 total length •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 •Sort Data: 00:10:00 •Filter Data: 00:10:00 •Query Data with Database Functions: 00:09:00 •Outline and Subtotal Data: 00:09:00 •Apply Intermediate Conditional Formatting: 00:07:00 •Apply Advanced Conditional Formatting: 00:05:00 •Create Charts: 00:13:00 •Modify and Format Charts: 00:12:00 •Use Advanced Chart Features: 00:12:00 •Create a PivotTable: 00:13:00 •Analyze PivotTable Data: 00:12:00 •Present Data with PivotCharts: 00:07:00 •Filter Data by Using Timelines and Slicers: 00:11:00 •Use Links and External References: 00:12:00 •Use 3-D References: 00:06:00 •Consolidate Data: 00:10:00 •Use Lookup Functions: 00:12:00 •Trace Cells: 00:05:00 •Watch and Evaluate Formulas: 00:10:00 •Apply Data Validation: 00:13:00 •Search for Invalid Data and Formulas with Errors: 00:04:00 •Work with Macros: 00:18:00 •Create Sparklines: 00:07:00 •MapData: 00:07:00 •Determine Potential Outcomes Using Data Tables: 00:08:00 •Determine Potential Outcomes Using Scenarios: 00:09:00 •Use the Goal Seek Feature: 00:04:00 •Forecasting Data Trends: 00:05:00

Overview This comprehensive course on CV Writing and Job Searching will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This CV Writing and Job Searching 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 CV Writing and Job Searching. It is available to all students, of all academic backgrounds. Requirements Our CV Writing and Job Searching 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 • 10 lectures • 01:21:00 total length •The Art of Job Researching: 00:14:00 •The Importance of Self Evaluation: 00:10:00 •Write Your CV and Cover Letter like a Pro: 00:11:00 •Necessary CV Standouts: 00:10:00 •Conclusion Part 01: 00:12:00 •Conclusion Part 02: 00:06:00 •Bonus: Secret CV Tips: 00:07:00 •Bonus: Interviewing Tips: 00:11:00 •Resources - CV Writing and Job Searching: 00:00:00 •Assignment - CV Writing and Job Searching: 00:00:00

Overview This comprehensive course on Cryptocurrency: Wallets, Investing & Trading will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Cryptocurrency: Wallets, Investing & Trading 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 Cryptocurrency: Wallets, Investing & Trading. It is available to all students, of all academic backgrounds. Requirements Our Cryptocurrency: Wallets, Investing & Trading 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 8 sections • 46 lectures • 03:30:00 total length •Cryptocurrency | Welcome to the Course: 00:03:00 •Course Agenda | What We Will Cover: 00:01:00 •Introduction | Why Cryptocurrency?: 00:04:00 •Cryptocurrency & Blockchain Essentials: 00:03:00 •Cryptocurrency | Key Events from 2017: 00:05:00 •The Future of Blockchain Technology & Crypocurrency: 00:04:00 •Purchase Cryptocurrency | Section Overview: 00:03:00 •Create Your Coinbase Account | Cryptocurrency Exchange: 00:04:00 •Make Your First Cryptocurrency Purchase | Coinbase Tools & Features: 00:07:00 •Coinbase Mobile App | Download & Review: 00:05:00 •How to Purchase Alt-coins | Other Cryptocurrency Exchanges Overview: 00:02:00 •Bitfinex | Cryptocurrency Exchange Platform Overview: 00:03:00 •Bittrex | Cryptcurrency Exchange Platform Overview: 00:05:00 •Kraken | Cryptocurrency Exchange Platform Overview: 00:03:00 •Binance | Cryptocurrency Exchange Platform Overview: 00:03:00 •Bitcoin ATM | How to Purchase Bitcoin from A Bitcoin ATM: 00:08:00 •Make A Purchase Using Bitcoin | How to Use Cryptocurrency: 00:05:00 •Cryptocurrency Wallets | Section Overview: 00:03:00 •Online Wallets | Best For Purchasing & Trading Cryptocurrency: 00:02:00 •Hardware Wallets | Long Term Storage & Large Amounts of Cryptocurrency: 00:12:00 •Desktop Wallets | Manage Your Cryptocurrency Portfolio on Your Desktop: 00:07:00 •Mobile Wallets | Simple & Easy Way to Store Cryptocurrency: 00:08:00 •Paper Wallets | Free Option to Securely Store Cryptocurrency: 00:07:00 •Cryptocurrency Investing Strategies | Section Overview: 00:05:00 •Dollar Cost Averaging (DCA) | Averaging Into Positions: 00:04:00 •Contrarian Investing | Using the RSI to Buy 'The Dips': 00:03:00 •Diversification | Diversify Your Portfolio: 00:03:00 •Support Levels | Finding Support Levels & Setting Price Alerts: 00:05:00 •Just HODL It! | Strategy of 'HODLing on For Dear Life': 00:03:00 •Long Term Storage Options | Best Wallets for Cryptocurrency Investing: 00:02:00 •Investor Terminology | Slang & Terminology Used By Cryptocurrency Investors: 00:03:00 •How to Trade Cryptocurrency | Section Overview: 00:03:00 •Top Mistakes Made By New Traders | Avoid These!: 00:02:00 •Technical vs Fundamental Trading | Trading Styles Review: 00:04:00 •Technical Analysis for Cryptocurrency | Introduction to Technical Analysis: 00:03:00 •Candlestick Charts | How to Read & Understand Candlestick Charts: 00:08:00 •Indicators & Overlays | Candlestick Chart Technical Analysis: 00:06:00 •How to Place Trades on Trading Exchanges | Transfer & Trade Cryptocurrency: 00:10:00 •Moving Averages | Moving Average Crossover Strategy for Trading: 00:05:00 •Bollinger Bands | Using Bollinger Bands for Trading & Measuring Volatility: 00:05:00 •Support & Resistance Levels | Finding Support & Resistance Levels For Trading: 00:03:00 •MACD | Using the Moving Average Convergence/ Divergence Oscillator for Trading: 00:04:00 •RSI (Relative Strength Index) | Finding Overbought & Oversold Entry Points: 00:03:00 •Crypto Stocks & ETFs | Trade Cryptocurrency Volatility with Stocks & ETFs: 00:05:00 •Bonus Lecture: 00:14:00 •Assignment - Cryptocurrency: Wallets, Investing & Trading: 00:00:00

Overview Do you want to improve your career prospects and start your own successful oven cleaning business?You will definitely find this Level 3 Oven Cleaning Course will be a useful step in the right direction. Taking this course is an opportunity to start your own professional oven cleaning business, catering to commercial and residential customers. You'll learn to start your own successful business armed with the knowledge and skills you need to provide your clients with the best quality results and service at all times.Grab this opportunity and improve your earning potential and job prospects by gaining the skills to stand out from the crowd. 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 Level 3 Oven Cleaning Course. It is available to all students, of all academic backgrounds. Requirements Our Level 3 Oven Cleaning Course is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible on tablets and smartphones so you can access your course on wifi, 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 2 sections • 11 lectures • 02:30:00 total length •What is Oven?: 00:15:00 •Types of Ovens: 00:15:00 •Mechanism of Oven: 00:15:00 •Oven Cleaning Equipment's: 00:15:00 •Oven Cleaning Methods & Techniques: 00:15:00 •Oven Cleaning Tricks: 00:15:00 •Cleaning Commercial Ovens: 00:15:00 •Chemical Safety: 00:15:00 •Health & Safety: Oven Cleaning Tips: 00:15:00 •Starting Cleaning Business: 00:15:00 •Assignment - Level 3 Oven Cleaning Course: 00:00:00

Overview Learn to become a qualified domestic Gas Installer and light up a whole new world of business opportunities. This Level 2 Domestic Gas Course course will deliver all the essential skills and information you'll need to start in Gas Engineering and assure a lucrative future career. Written with the help of industry experts, you will be given 'hands-on' tests and assessments to perform, as well as substantial theoretical training. As a result, you will quickly learn the fundamental principles and concepts of safely installing gas fittings, and become a sought after asset in organisations. Alternatively, you can be guided towards starting your own qualified business. 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 Level 2 Domestic Gas Course. It is available to all students, of all academic backgrounds. Requirements Our Level 2 Domestic Gas Course is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible on tablets and smartphones so you can access your course on wifi, 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 2 sections • 18 lectures • 04:25:00 total length •Module 01: Gas Legislation: 00:05:00 •Module 02: Gas Safety Regulations: 00:05:00 •Module 03: The Gas Safety (Installation and Use) Regulations 1998: 00:50:00 •Module 04: Overview of Gas: 00:15:00 •Module 05: Combustion: 00:05:00 •Module 6: Flues: 00:30:00 •Module 07: Ventilation: 00:15:00 •Module 08: Testing and Purging: 00:20:00 •Module 09: Unsafe Situations: 00:10:00 •Module 10: Commissioning and Servicing Of Gas: 00:05:00 •Module 11: Gas Fires Space Heaters, Open Flud Gas Fires Fan Flued, Room Sealed Heaters and Space Heaters: 00:30:00 •Module 12: Domestic Gas Cookers: 00:15:00 •Module 13: Gas Water Heaters: 00:15:00 •Module 14: Domestic Gas Boilers: 00:15:00 •Module 15: Pipework Installation: 00:10:00 •Module 16: LPG Supply and Installation: 00:10:00 •Module 17: Electrical Work on Gas Appliances: 00:10:00 •Assignment - Level 2 Domestic Gas Course: 00:00:00

Overview This comprehensive course on Learn Fundamentals of WordPress will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Learn Fundamentals of WordPress 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 Learn Fundamentals of WordPress. It is available to all students, of all academic backgrounds. Requirements Our Learn Fundamentals of WordPress 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 3 sections • 12 lectures • 01:34:00 total length •Course Overview: 00:03:00 •Course Plan: 00:04:00 •What is WordPress?: 00:02:00 •WordPress.org Vs WordPress.com: 00:01:00 •What to Know before Using WordPress: 00:03:00 •How to Use Wodpress.com & WordPress.org: 00:03:00 •How to Use WordPress.org: 00:12:00 •How to Use WordPress.com: 00:07:00 •WordPress Dashboard Overview: 00:15:00 •Gutenberg WordPress Editor: 00:17:00 •Customize Your WordPress Website: 00:27:00 •Assignment - Learn Fundamentals of WordPress: 00:00:00

Overview This comprehensive course on Kotlin Programming : Android Coding will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Kotlin Programming : Android Coding 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 Programming : Android Coding. It is available to all students, of all academic backgrounds. Requirements Our Kotlin Programming : Android Coding 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 11 sections • 73 lectures • 05:38:00 total length •Introduction To This Course: 00:02:00 •Windows Setup: 00:13:00 •Mac Setup: 00:10:00 •Linux Setup: 00:12:00 •Online Code Editor: 00:02:00 •Variables: 00:06:00 •Data Types: 00:06:00 •String: 00:05:00 •Array: 00:07:00 •Data Type Conversion: 00:05:00 •Comments: 00:04:00 •Arithmetic Operators: 00:07:00 •Relational Operators: 00:06:00 •Assignment Operators: 00:06:00 •Unary Operators: 00:05:00 •Bitwise Operators: 00:09:00 •Logical Operators: 00:04:00 •Input & Output: 00:03:00 •Conditional if Statement: 00:05:00 •when Statement: 00:07:00 •For Loop: 00:04:00 •while Loop: 00:04:00 •do while Loop: 00:04:00 •Break Statement: 00:04:00 •Continue Statement: 00:04:00 •Basic Functions: 00:03:00 •Function Parameters: 00:04:00 •Return Values: 00:04:00 •Recursion: 00:04:00 •Default & Named Arguments: 00:06:00 •Lambda Function: 00:04:00 •Higher Order Function: 00:05:00 •Inline Function: 00:02:00 •Try Catch Block: 00:04:00 •Try Catch Expression: 00:05:00 •Multiple Catch Block: 00:05:00 •Nested Try Catch Block: 00:05:00 •Finally Block: 00:02:00 •Throw Keyword: 00:02:00 •Nullable & Non Nullable Types: 00:03:00 •Smart Cast: 00:02:00 •Unsafe and Safe Cast: 00:03:00 •Elvis Operator: 00:04:00 •List: listOf Function: 00:06:00 •List: mutableListOf Function: 00:05:00 •List: arrayListOf Function: 00:06:00 •Map: mapOf Function: 00:07:00 •Map: HashMap: 00:08:00 •Map: hashMapOf Function: 00:05:00 •Map: mutableMapOf Function: 00:04:00 •Set: setOf Function: 00:04:00 •Set: mutableSetOf Function: 00:04:00 •Set: HashSet: 00:04:00 •Basic Example: 00:07:00 •Nested and Inner Class: 00:06:00 •Constructors: 00:05:00 •Visibility Modifiers: 00:06:00 •Inheritance: 00:05:00 •Method Overriding: 00:04:00 •Property Overriding: 00:02:00 •Abstract Class: 00:03:00 •Superclass: 00:03:00 •Data Class: 00:05:00 •Multiple Class Inheritance & Interfaces: 00:03:00 •Sealed Class: 00:03:00 •Extension Function: 00:03:00 •Generics: 00:05:00 •Integer Type Range: 00:05:00 •Regex: 00:04:00 •Call Java from Kotlin: 00:03:00 •Call Kotlin from Java: 00:02:00 •Resource: 00:00:00 •Assignment - Kotlin Masterclass Programming Course: Android Coding Bible: 00:00:00