4078 Engineer courses

Overview This comprehensive course on Solar Energy will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Solar Energy 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? After successfully completing the course you will be able to order your certificate, these are included in the price. Who is This course for? There is no experience or previous qualifications required for enrolment on this Solar Energy. It is available to all students, of all academic backgrounds. Requirements Our Solar Energy 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 10 sections • 55 lectures • 11:44:00 total length •Module 1- Introduction To PV System Construction: 00:24:00 •Module 2- Solar Heating, Solar Irradiation And Panels: 00:38:00 •Module 3- Effect of Insolation and Temperature on V-I Curve: 00:05:00 •Module 4- PV Installation, Short Circuit And Open Circuit Tests Using Avometer: 00:15:00 •Module 5- Solar Wires And Cables Installation Process: 00:22:00 •Module 6- Mounting Of PV System: 00:04:00 •Module 7- Shading and Tilt angle In Solar Energy: 00:15:00 •Module 8- Half Cut Cell Technology In PV System For Solar Engineering: 00:25:00 •Module 9- Importance Of Charge Controller In Solar Energy System: 00:03:00 •Module 10- PWM And MPPT Charge Controllers: 00:14:00 •Module 11- Understanding More about MPPT Solar Charge Controller For Solar Energy Course: 00:24:00 •Module 12- Junction Box In Solar Energy System: 00:04:00 •Module 13- Wiring of Junction Box In Solar Energy System: 00:05:00 •Module 14- Function, Types And Data Sheet Of Inverter: 00:55:00 •Module 15- Determining PV Array Maximum System Voltage: 00:09:00 •Module 1- Construction And Types Of Batteries In Solar Energy System: 00:09:00 •Module 2- Charging Of Lead Acid Batteries And Hydrometer In Solar Energy System: 00:07:00 •Module 3- Maintenance Of Batteries And Methods Of Charging In Solar Energy System: 00:03:00 •Module 4- Cycle of Batteries: 00:04:00 •Module 1- Off-Grid Solar System: 00:02:00 •Module 2- Advantages of Off-Grid Solar System: 00:02:00 •Module 3- Equipment of Off-Grid Solar System: 00:04:00 •Module 4- Selection and Datasheet of the Panel: 00:04:00 •Module 5- Inverter Selection: 00:02:00 •Module 6- Example 1 On Designing Off Grid System: 00:01:00 •Module 7- Determine Power Consumption Demands: 00:04:00 •Module 8- Size the PV modules: 00:05:00 •Module 9- Inverter sizing: 00:04:00 •Module 10- Battery Sizing: 00:08:00 •Module 11- Solar Charge Controller Sizing: 00:05:00 •Module 12- MPPT Charge Controller Sizing: 00:10:00 •Module 13- Example 2 Design of an OFF Grid System: 00:20:00 •Module 1- Grid-Tied Solar System: 00:03:00 •Module 2- Advantages of Grid-Tied Solar System: 00:04:00 •Module 3- Equipment of Grid-Tied Solar System: 00:03:00 •Module 4- Example Design of an On Grid System: 00:10:00 •Module 5- PV Energy According to Area: 00:02:00 •Module 1- Design of an Off Grid Solar Energy System Using PVSYST Program: 00:28:00 •Module 2- Design Of An On Grid Solar Energy System Using PVSyst Program: 00:12:00 •Module 3- Mega PV System Design Using PVSyst Program For Solar Energy: 00:29:00 •Module 1- Introduction To Water Pumping System And Steps Of Design: 00:24:00 •Module 2- Solved Example On Solar Pumping System Design: 00:23:00 •Module 1- Introduction to Protection Of PV System: 00:07:00 •Module 2- Selection of Fuses and Protection of String: 00:13:00 •Module 3- Protection of Arrays: 00:07:00 •Module 4- Protection of Inverter: 00:07:00 •Module 5- Protection of Transformer: 00:07:00 •Module 6- Surge Protection Device: 00:02:00 •Module 7- Grounding of PV System: 00:07:00 •Module 8- Types of BusBars in PV System and Selection of BusBars: 00:12:00 •Module 1-Design Of Off Grid PV System Using Excel Sheet: 00:26:00 •Module 1- Single Line Diagram Of PV System And Selection Of Fuses And Breakers: 00:45:00 •Module 1- Simulation Of PV Cell In MATLAB And Obtaining V-I Characteristics: 00:28:00 •Module 2- Get a Complete Grid Connected PV Solar Energy System In MATLAB Simulink: 00:25:00 •Module 3- PV System Simulation Using ETAP Lesson: 00:24:00

Overview This comprehensive course on CompTIA A+ (220-1002) will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This CompTIA A+ (220-1002) 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 CompTIA A+ (220-1002). It is available to all students, of all academic backgrounds. Requirements Our CompTIA A+ (220-1002) 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 Course Curriculum 22 sections • 106 lectures • 14:51:00 total length •CompTIA A+ 2019 Core 2 (220-1002) Course Introduction: 00:02:00 •What is the CompTIA A+: 00:02:00 •Why Get A+ Certified?: 00:03:00 •What is on the CompTIA A+ Core 2 (220-1002) Exam?: 00:04:00 •How to Pass the CompTIA A+ Exam: 00:04:00 •How to use this Video Course: 00:03:00 •Professional Communication Part 1: 00:06:00 •Professional Communication Part 2: 00:07:00 •Physical Safety: 00:07:00 •What is an Operating System?: 00:09:00 •Users and Super Users: 00:05:00 •Why Windows?: 00:08:00 •Windows Editions and Versions: 00:12:00 •Touring the macOS: 00:06:00 •Touring Linux: 00:08:00 •32-Bit vs. 64-Bit Processing: 00:12:00 •Virtual Memory: 00:06:00 •Power Protection: 00:10:00 •Understanding Partitioning: 00:04:00 •MBR Partitioning: 00:12:00 •GPT Partitioning: 00:09:00 •Understanding File Systems: 00:12:00 •Popular File Systems: 00:07:00 •Formatting in Action: 00:11:00 •Dynamic Disks: 00:09:00 •Software RAID in Storage Spaces: 00:10:00 •Encrypting Mass Storage: 00:09:00 •Boot from Everything: 00:12:00 •Installing Windows: 00:12:00 •Post-Installation Tasks: 00:12:00 •Windows Installation options: 00:07:00 •What is the Registry?: 00:11:00 •Processes: 00:07:00 •Services: 00:04:00 •Your Windows Toolset: 00:08:00 •Windows 7 Task Manager: 00:09:00 •Windows 10 Task Manager: 00:06:00 •Information and Configuration Tools: 00:11:00 •Performance Monitor: 00:12:00 •Event Viewer: 00:07:00 •Tools for Programmers: 00:08:00 •Introduction to Users and Groups: 00:06:00 •Managing Users and Groups: 00:12:00 •NTFS Permissions: 00:08:00 •Linux and macOS Permissions: 00:05:00 •File Explorer: 00:14:00 •Sharing Resources: 00:11:00 •Security Policies: 00:08:00 •Patch Management: 00:11:00 •Working with Disks: 00:06:00 •Working with Applications: 00:07:00 •System Restore: 00:05:00 •Backing up Your Files: 00:07:00 •Task Scheduler: 00:07:00 •Understanding the CLI: 00:11:00 •Navigating the CLI: 00:14:00 •Working with Folders: 00:07:00 •Working with Files: 00:11:00 •Working with Drives: 00:13:00 •Super Copy Commands: 00:09:00 •Advanced Windows Command Line: 00:08:00 •Advanced Linux Commands: 00:13:00 •Command-Line Permissions: 00:08:00 •Introduction to Scripting: 00:10:00 •Interpreted Languages: 00:12:00 •Windows Recovery Environment: 00:05:00 •Advanced Windows Startup Options: 00:07:00 •Troubleshooting Boot Problems: 00:10:00 •Troubleshooting at the GUI: 00:11:00 •Troubleshooting Applications: 00:07:00 •Kernel Panic: 00:05:00 •Resolutions and Aspect Ratios: 00:06:00 •Multiple Monitors: 00:05:00 •Network Card Troubleshooting: 00:09:00 •Working with Connections: 00:09:00 •Working with Workgroups: 00:08:00 •Working with Active Directory: 00:14:00 •Windows Sharing with Mac and LInux: 00:07:00 •Net Command: 00:04:00 •Firewall Configuration: 00:11:00 •Windows Firewall: 00:08:00 •Port Forwarding: 00:07:00 •Wireless Encryption: 00:11:00 •Enterprise Wireless: 00:16:00 •Telnet and SSH: 00:07:00 •Remote Desktop Connections: 00:06:00 •The World Wide Web: 00:09:00 •Troubleshooting Internet Connections: 00:07:00 •Power Management: 00:11:00 •Mobile Device Security: 00:08:00 •Mobile Security Troubleshooting: 00:06:00 •Mobile Device Troubleshooting: 00:10:00 •Threats: 00:10:00 •Physical Security: 00:08:00 •Passwords and Authentication: 00:14:00 •Malware: 00:14:00 •Anti-Malware: 00:11:00 •Social Engineering: 00:06:00 •Licensing: 00:10:00 •Incident Response: 00:05:00 •Environmental Controls: 00:06:00 •Documents You Need to Know: 00:09:00 •Data You Need to Know: 00:04:00 •Change Management: 00:06:00 •The Zen of Backup: 00:11:00 •Recycling and Data Destruction: 00:07:00

Overview This comprehensive course on SQL NoSQL Big Data and Hadoop will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This SQL NoSQL Big Data and Hadoop 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? At the end of the course there will be an online written test, which you can take either during or after the course. After successfully completing the test you will be able to order your certificate, these are included in the price. Who is This course for? There is no experience or previous qualifications required for enrolment on this SQL NoSQL Big Data and Hadoop. It is available to all students, of all academic backgrounds. Requirements Our SQL NoSQL Big Data and Hadoop 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 14 sections • 130 lectures • 22:34:00 total length •Introduction: 00:07:00 •Building a Data-driven Organization - Introduction: 00:04:00 •Data Engineering: 00:06:00 •Learning Environment & Course Material: 00:04:00 •Movielens Dataset: 00:03:00 •Introduction to Relational Databases: 00:09:00 •SQL: 00:05:00 •Movielens Relational Model: 00:15:00 •Movielens Relational Model: Normalization vs Denormalization: 00:16:00 •MySQL: 00:05:00 •Movielens in MySQL: Database import: 00:06:00 •OLTP in RDBMS: CRUD Applications: 00:17:00 •Indexes: 00:16:00 •Data Warehousing: 00:15:00 •Analytical Processing: 00:17:00 •Transaction Logs: 00:06:00 •Relational Databases - Wrap Up: 00:03:00 •Distributed Databases: 00:07:00 •CAP Theorem: 00:10:00 •BASE: 00:07:00 •Other Classifications: 00:07:00 •Introduction to KV Stores: 00:02:00 •Redis: 00:04:00 •Install Redis: 00:07:00 •Time Complexity of Algorithm: 00:05:00 •Data Structures in Redis : Key & String: 00:20:00 •Data Structures in Redis II : Hash & List: 00:18:00 •Data structures in Redis III : Set & Sorted Set: 00:21:00 •Data structures in Redis IV : Geo & HyperLogLog: 00:11:00 •Data structures in Redis V : Pubsub & Transaction: 00:08:00 •Modelling Movielens in Redis: 00:11:00 •Redis Example in Application: 00:29:00 •KV Stores: Wrap Up: 00:02:00 •Introduction to Document-Oriented Databases: 00:05:00 •MongoDB: 00:04:00 •MongoDB Installation: 00:02:00 •Movielens in MongoDB: 00:13:00 •Movielens in MongoDB: Normalization vs Denormalization: 00:11:00 •Movielens in MongoDB: Implementation: 00:10:00 •CRUD Operations in MongoDB: 00:13:00 •Indexes: 00:16:00 •MongoDB Aggregation Query - MapReduce function: 00:09:00 •MongoDB Aggregation Query - Aggregation Framework: 00:16:00 •Demo: MySQL vs MongoDB. Modeling with Spark: 00:02:00 •Document Stores: Wrap Up: 00:03:00 •Introduction to Search Engine Stores: 00:05:00 •Elasticsearch: 00:09:00 •Basic Terms Concepts and Description: 00:13:00 •Movielens in Elastisearch: 00:12:00 •CRUD in Elasticsearch: 00:15:00 •Search Queries in Elasticsearch: 00:23:00 •Aggregation Queries in Elasticsearch: 00:23:00 •The Elastic Stack (ELK): 00:12:00 •Use case: UFO Sighting in ElasticSearch: 00:29:00 •Search Engines: Wrap Up: 00:04:00 •Introduction to Columnar databases: 00:06:00 •HBase: 00:07:00 •HBase Architecture: 00:09:00 •HBase Installation: 00:09:00 •Apache Zookeeper: 00:06:00 •Movielens Data in HBase: 00:17:00 •Performing CRUD in HBase: 00:24:00 •SQL on HBase - Apache Phoenix: 00:14:00 •SQL on HBase - Apache Phoenix - Movielens: 00:10:00 •Demo : GeoLife GPS Trajectories: 00:02:00 •Wide Column Store: Wrap Up: 00:05:00 •Introduction to Time Series: 00:09:00 •InfluxDB: 00:03:00 •InfluxDB Installation: 00:07:00 •InfluxDB Data Model: 00:07:00 •Data manipulation in InfluxDB: 00:17:00 •TICK Stack I: 00:12:00 •TICK Stack II: 00:23:00 •Time Series Databases: Wrap Up: 00:04:00 •Introduction to Graph Databases: 00:05:00 •Modelling in Graph: 00:14:00 •Modelling Movielens as a Graph: 00:10:00 •Neo4J: 00:04:00 •Neo4J installation: 00:08:00 •Cypher: 00:12:00 •Cypher II: 00:19:00 •Movielens in Neo4J: Data Import: 00:17:00 •Movielens in Neo4J: Spring Application: 00:12:00 •Data Analysis in Graph Databases: 00:05:00 •Examples of Graph Algorithms in Neo4J: 00:18:00 •Graph Databases: Wrap Up: 00:07:00 •Introduction to Big Data With Apache Hadoop: 00:06:00 •Big Data Storage in Hadoop (HDFS): 00:16:00 •Big Data Processing : YARN: 00:11:00 •Installation: 00:13:00 •Data Processing in Hadoop (MapReduce): 00:14:00 •Examples in MapReduce: 00:25:00 •Data Processing in Hadoop (Pig): 00:12:00 •Examples in Pig: 00:21:00 •Data Processing in Hadoop (Spark): 00:23:00 •Examples in Spark: 00:23:00 •Data Analytics with Apache Spark: 00:09:00 •Data Compression: 00:06:00 •Data serialization and storage formats: 00:20:00 •Hadoop: Wrap Up: 00:07:00 •Introduction Big Data SQL Engines: 00:03:00 •Apache Hive: 00:10:00 •Apache Hive : Demonstration: 00:20:00 •MPP SQL-on-Hadoop: Introduction: 00:03:00 •Impala: 00:06:00 •Impala : Demonstration: 00:18:00 •PrestoDB: 00:13:00 •PrestoDB : Demonstration: 00:14:00 •SQL-on-Hadoop: Wrap Up: 00:02:00 •Data Architectures: 00:05:00 •Introduction to Distributed Commit Logs: 00:07:00 •Apache Kafka: 00:03:00 •Confluent Platform Installation: 00:10:00 •Data Modeling in Kafka I: 00:13:00 •Data Modeling in Kafka II: 00:15:00 •Data Generation for Testing: 00:09:00 •Use case: Toll fee Collection: 00:04:00 •Stream processing: 00:11:00 •Stream Processing II with Stream + Connect APIs: 00:19:00 •Example: Kafka Streams: 00:15:00 •KSQL : Streaming Processing in SQL: 00:04:00 •KSQL: Example: 00:14:00 •Demonstration: NYC Taxi and Fares: 00:01:00 •Streaming: Wrap Up: 00:02:00 •Database Polyglot: 00:04:00 •Extending your knowledge: 00:08:00 •Data Visualization: 00:11:00 •Building a Data-driven Organization - Conclusion: 00:07:00 •Conclusion: 00:03:00 •Assignment -SQL NoSQL Big Data and Hadoop: 00:00:00

Overview This comprehensive course on Python for Data Analysis will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Python for Data Analysis 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 Python for Data Analysis. It is available to all students, of all academic backgrounds. Requirements Our Python for Data Analysis 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 19 sections • 99 lectures • 00:08:00 total length •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 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): 00:37:00 •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 •Resources- Python for Data Analysis: 00:00:00

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 CompTIA Network (N10-007) will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This CompTIA Network (N10-007) 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 CompTIA Network (N10-007). It is available to all students, of all academic backgrounds. Requirements Our CompTIA Network (N10-007) 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 22 sections • 172 lectures • 22:43:00 total length •Introduction: 00:03:00 •What is a Model?: 00:02:00 •OSI vs. TCP/IP Model: 00:07:00 •Walking Through OSI and TCP/IP: 00:12:00 •Meet the Frame: 00:06:00 •The MAC Address: 00:07:00 •Broadcast vs. Unicast: 00:04:00 •Introduction to IP Addressing: 00:08:00 •Packets and Ports: 00:05:00 •Network Topologies: 00:10:00 •Coaxial Cabling: 00:05:00 •Twisted Pair Cabling: 00:06:00 •Cat Ratings: 00:06:00 •Fiber Optic Cabling: 00:09:00 •Fire Ratings: 00:05:00 •Legacy Network Connections: 00:07:00 •What is Ethernet?: 00:07:00 •Ethernet Frames: 00:07:00 •Early Ethernet: 00:08:00 •The Daddy of Ethernet, 10BaseT: 00:03:00 •Terminating Twisted Pair: 00:14:00 •Hubs vs. Switches: 00:13:00 •100BaseT: 00:05:00 •Connecting Switches: 00:05:00 •Gigabit Ethernet and 10-Gigabit Ethernet: 00:05:00 •Transceivers: 00:07:00 •Connecting Ethernet Scenarios: 00:14:00 •Introduction to Structured Cabling: 00:04:00 •Terminating Structured Cabling: 00:08:00 •Equipment Room: 00:07:00 •Alternative Distribution Panels: 00:04:00 •Testing Cable: 00:09:00 •Troubleshooting Structured Cabling, Part 1: 00:05:00 •Troubleshooting Structured Cabling, Part 2: 00:05:00 •Using a Toner and Probe: 00:03:00 •Wired Connection Scenarios: 00:11:00 •Introduction to IP Addressing and Binary: 00:13:00 •Introduction to ARP: 00:04:00 •Classful Addressing: 00:10:00 •Subnet Masks: 00:12:00 •Subnetting with CIDR: 00:10:00 •More CIDR Subnetting Practice: 00:10:00 •Dynamic and Static IP Addressing: 00:18:00 •Rogue DHCP Servers: 00:07:00 •Special IP Addresses: 00:07:00 •IP Addressing Scenarios: 00:15:00 •Introducing Routers: 00:15:00 •Understanding Ports: 00:05:00 •Network Address Translation: 00:06:00 •Implementing NAT: 00:03:00 •Forwarding Ports: 00:18:00 •Tour of a SOHO Router: 00:12:00 •SOHO vs. Enterprise: 00:09:00 •Static Routes: 00:13:00 •Dynamic Routing: 00:11:00 •RIP: 00:04:00 •OSPF: 00:04:00 •BGP: 00:06:00 •TCP and UDP: 00:07:00 •ICMP and IGMP: 00:06:00 •Handy Tools: 00:07:00 •Introduction to Wireshark: 00:11:00 •Introduction to netstat: 00:09:00 •Web Servers: 00:12:00 •FTP: 00:12:00 •E-mail Servers and Clients: 00:09:00 •Securing E-mail: 00:06:00 •Telnet and SSH: 00:09:00 •Network Time Protocol: 00:02:00 •Network Service Scenarios: 00:10:00 •Understanding DNS: 00:12:00 •Applying DNS: 00:19:00 •The Hosts File: 00:04:00 •Net Command: 00:08:00 •Windows Name Resolution: 00:11:00 •Dynamic DNS: 00:05:00 •DNS Troubleshooting: 00:13:00 •Making TCP/IP Secure: 00:04:00 •Symmetric Encryption: 00:06:00 •Asymmetric Encryption: 00:03:00 •Cryptographic Hashes: 00:05:00 •Identification: 00:00:00 •Access Control: 00:04:00 •AAA: 00:05:00 •Kerberos/EAP: 00:00:00 •Single Sign-On: 00:10:00 •Certificates and Trust: 00:14:00 •Certificate Error Scenarios: 00:08:00 •Understanding IP Tunneling: 00:06:00 •Virtual Private Networks: 00:13:00 •Introduction to VLANs: 00:12:00 •InterVLAN Routing: 00:03:00 •Interfacing with Managed Switches: 00:11:00 •Switch Port Protection: 00:07:00 •Port Bonding: 00:07:00 •Port Mirroring: 00:04:00 •Quality of Service: 00:05:00 •IDS vs. IPS: 00:04:00 •Proxy Servers: 00:13:00 •Load Balancing: 00:09:00 •Device Placement Scenarios: 00:13:00 •Introduction to IPv6: 00:13:00 •IPv6 Addressing: 00:15:00 •IPv6 in Action: 00:13:00 •IPv4 and IPv6 Tunneling: 00:05:00 •Telephony Technologies: 00:09:00 •Optical Carriers: 00:03:00 •Packet Switching: 00:05:00 •Connecting with Dial-up: 00:05:00 •Digital Subscriber Line (DSL): 00:05:00 •Connecting with Cable Modems: 00:04:00 •Connecting with Satellites: 00:03:00 •ISDN and BPL: 00:04:00 •Remote Desktop Connectivity: 00:05:00 •Advanced Remote Control Systems: 00:09:00 •Introduction to 802.11: 00:12:00 •802.11 Standards: 00:12:00 •Power over Ethernet (PoE): 00:04:00 •Antennas: 00:09:00 •Wireless Security Standards: 00:16:00 •Implementing Wireless Security: 00:07:00 •Threats to Your Wireless Network: 00:07:00 •Retro Threats: 00:05:00 •Wi-Fi Protected Setup (WPS): 00:05:00 •Enterprise Wireless: 00:06:00 •Installing a Wireless Network: 00:15:00 •Wireless Scenarios: 00:07:00 •More Wireless Scenarios: 00:09:00 •Virtualization Basics: 00:07:00 •Cloud Ownership: 00:03:00 •Cloud Implementation: 00:12:00 •Your First Virtual Machine: 00:09:00 •NAS and SAN: 00:16:00 •Platform as a Service (PaaS): 00:09:00 •Software as a Service (SaaS): 00:03:00 •Infrastructure as a Service (IaaS): 00:10:00 •Cellular Technologies: 00:05:00 •Mobile Connectivity: 00:07:00 •Deploying Mobile Devices: 00:05:00 •Mobile Access Control: 00:06:00 •Network Types: 00:04:00 •Network Design: 00:10:00 •Power Management: 00:06:00 •Unified Communications: 00:11:00 •Network Documentation: 00:07:00 •Contingency Planning: 00:10:00 •Predicting Hardware Failure: 00:05:00 •Backups: 00:08:00 •What is Risk Management?: 00:06:00 •Security Policies: 00:08:00 •Change Management: 00:07:00 •User Training: 00:03:00 •Standard Business Documentation: 00:05:00 •Mitigating Network Threats: 00:05:00 •High Availability: 00:05:00 •Denial of Service: 00:09:00 •Malware: 00:10:00 •Social Engineering: 00:04:00 •Access Control: 00:08:00 •Man-in-the-Middle: 00:22:00 •Introduction to Firewalls: 00:05:00 •Firewalls: 00:10:00 •DMZ: 00:06:00 •Hardening Devices: 00:14:00 •Physical Security Controls: 00:09:00 •Testing Network Security: 00:08:00 •Network Protection Scenarios: 00:14:00 •SNMP: 00:15:00 •Documenting Logs: 00:09:00 •System Monitoring: 00:08:00 •SIEM (Security Information and Event Management): 00:07:00 •Network Troubleshooting Theory: 00:05:00

Have you ever wondered how certain ingredients in your food affect your body on a cellular level? In this course, you'll explore the science behind cooking and how it relates to biomedical science. Learning outcomes: Understand the basics of genetics and biochemistry and how they relate to cooking. Explore the world of microbiology and cell biology and their impact on food safety and preservation. Learn about biochemical engineering and enzyme discovery, and their applications in the food industry. Understand the principles of toxicology and the role of pharmaceuticals and fine chemicals in food production. Discover the fundamentals of systems and synthetic biology, and how they relate to food production. Gain insight into global health challenges and how they impact the food industry. This course explores the fascinating intersection between cookery and biomedical science. Over seven modules, you'll delve into the science behind cooking and how it relates to biomedicine. You'll learn about the basics of genetics, biochemistry, microbiology, and cell biology, and explore how these areas of science affect the food we eat. You'll also discover the principles of biochemical engineering and enzyme discovery and learn how they can be applied in the food industry. In addition, you'll explore the world of toxicology and the role of pharmaceuticals and fine chemicals in food production. You'll gain an understanding of systems and synthetic biology and how they relate to food production, and examine global health challenges and their impact on the food industry. By the end of this course, you'll have a deep understanding of the science behind cooking and how it relates to biomedical science. Sign up for this course today and explore the fascinating world of cookery and biomedical science. Certification Upon completion of the course, learners can obtain a certificate as proof of their achievement. You can receive a £4.99 PDF Certificate sent via email, a £9.99 Printed Hardcopy Certificate for delivery in the UK, or a £19.99 Printed Hardcopy Certificate for international delivery. Each option depends on individual preferences and locations. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Individuals interested in the science behind cooking and food production. Students pursuing degrees in biology, chemistry, or food science. Professionals working in the food industry who want to deepen their understanding of the science behind their work. Anyone interested in the intersection of cookery and biomedical science. Career path Biomedical scientist: £24,000 - £90,000 per year Food scientist: £23,000 - £50,000 per year Research scientist: £25,000 - £60,000 per year Toxicologist: £25,000 - £70,000 per year Enzyme scientist: £25,000 - £50,000 per year Synthetic biologist: £30,000 - £60,000 per year

Imagine working in an industry where precision and efficiency are of utmost importance. In manufacturing, engineering, and construction, the use of abrasive wheels is indispensable for material processing and finishing. Our comprehensive course on "Abrasive Wheels and Choosing The Right Wheel" will equip you with the knowledge and skills to excel in this vital aspect of various industries. With an emphasis on abrasive wheel types, selecting the right wheel, grinding techniques, and safety precautions, this course will enhance your understanding and proficiency in working with abrasive wheels. As the demand for skilled professionals with expertise in abrasive wheels continues to grow, now is the perfect time to invest in your future and seize opportunities in this thriving industry. Learning Outcomes: Understand the fundamentals of abrasive wheels and their properties. Identify the characteristics of various abrasive wheel types. Select the appropriate wheel for specific applications and materials. Master techniques for grinding, balancing, truing, and dressing of abrasive wheels. Ensure proper wheel speeds for safe and efficient operation. Gain knowledge in mounting, guarding, and safety precautions for abrasive wheel usage. Course Curriculum Module 01: Learn the foundational concepts of abrasive wheels, their types, and applications. Module 02: Discover the properties and characteristics that define different abrasive wheel types. Module 03: Develop skills in selecting the correct wheel for various applications and materials. Module 04: Understand techniques for optimising abrasive wheel performance and extending wheel life. Module 05: Determine the appropriate speeds for safe and efficient operation of abrasive wheels. Module 06: Master the proper methods for mounting and securing abrasive wheels. Module 07: Learn about the importance of guards and their role in abrasive wheel safety. Module 08: Gain awareness of the hazards associated with abrasive wheel usage and how to prevent them. Module 09: Acquire knowledge in implementing safety precautions and practices when working with abrasive wheels. Module 10: Understand the significance of regular inspections and the necessity for ongoing training in abrasive wheel usage. Certification Upon completion of the course, learners can obtain a certificate as proof of their achievement. You can receive a £4.99 PDF Certificate sent via email, a £9.99 Printed Hardcopy Certificate for delivery in the UK, or a £19.99 Printed Hardcopy Certificate for international delivery. Each option depends on individual preferences and locations. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This comprehensive course is designed for individuals seeking to expand their knowledge and skills in the use and maintenance of abrasive wheels. It is ideal for professionals working in manufacturing, engineering, and construction industries where the use of abrasive wheels is common. The Abrasive Wheels and Choosing The Right Wheel course is also suitable for those looking to enhance their career prospects by gaining specialised knowledge in this essential aspect of material processing and finishing. Career path Abrasive Wheel Operator - £20,000 to £30,000/year Grinding Machine Operator - £18,000 to £28,000/year Maintenance Technician - £25,000 to £35,000/year Production Supervisor - £30,000 to £45,000/year Workshop Manager - £35,000 to £50,000/year

Welcome to the Hotel Manager course, where you will learn how to become a maestro in the hospitality industry and manage a hotel successfully. Our course is designed to equip you with the knowledge and skills required to excel in the dynamic and challenging world of hotel management. Throughout this course, you will gain a comprehensive understanding of the hotel industry, including its operations and management, customer service, marketing, and accounting. You will also learn about the process of selection and recruitment, development and training, and the management of the front office, housekeeping, engineering, security, and food and beverage operations. Our Hotel Manager course will guide you through the complexities of service quality management in the hospitality industry, teaching you the tools and techniques needed to maintain high standards of service excellence. We will also explore the latest trends in e-hospitality and technology, preparing you to embrace new technologies and digital solutions that enhance guest experiences. This Diploma in Hotel Manager at QLS Level 5 course is endorsed by The Quality Licence Scheme and accredited by CPDQS (with 150 CPD points) to make your skill development & career progression more accessible than ever! The Hotel Manager course is broken down into several in-depth modules to provide you with the most convenient and rich learning experience possible. Upon successful completion of the Hotel Manager course, an instant e-certificate will be exhibited in your profile that you can order as proof of your skills and knowledge. Add these amazing new skills to your resume and boost your employability by simply enrolling in this course. This Hotel Manager training can help you to accomplish your ambitions and prepare you for a meaningful career. So, join us today and gear up for excellence. Learning Outcomes: Understand the fundamentals of hospitality management and the hotel industry. Develop the skills to manage the front office, housekeeping, engineering, security, and food and beverage operations. Acquire knowledge of recruitment and training processes in the hospitality industry. Learn about marketing in the travel and tourism business and accounting in the hospitality industry. Master the tools and techniques of service quality management in the hospitality industry. Understand the importance of customer satisfaction and how to achieve it. Be aware of the latest trends in e-hospitality and technology and their impact on the industry. Why Prefer This Hotel Manager Course? Opportunity to earn certificate a certificate endorsed by the Quality Licence Scheme & another accredited by CPDQS after completing the Hotel Manager course Get a free student ID card! (£10 postal charge will be applicable for international delivery) Innovative and engaging content. Free assessments 24/7 tutor support. Our Hotel Manager course is designed to provide you with a comprehensive understanding of the hospitality industry, with a specific focus on hotel management. The course covers a wide range of topics, including the fundamentals of hospitality management, the hotel industry, recruitment and training processes, marketing, and accounting in the hospitality industry. You will learn about the management of front office, housekeeping, engineering, security, and food and beverage operations, including the tools and techniques needed to maintain high standards of service quality. Our team of professionals will guide you through the complexities of customer satisfaction, teaching you how to achieve it and why it is essential for the success of any hotel. The course will also explore the latest trends in e-hospitality and technology, preparing you to embrace new technologies and digital solutions that enhance guest experiences. Upon completion of the course, you will be equipped with the knowledge and skills required to excel in the dynamic and challenging world of hotel management. Start your learning journey straight away with this Hotel Manager course and take a step toward a brighter future! *** Course Curriculum *** Here is the curriculum breakdown of this Hotel Manager course: Module 01: Introduction to Hospitality Management Module 02: An Overview of the Hotel Industry Module 03: The Process of Selection and Recruitment in the Hospitality Industry Module 04: The Process of Development and Training in the Hospitality Industry Module 05: Management of Front Office Operations Module 06: Management of Housekeeping, Engineering, and Security Operations Module 07: Management of Food and Beverage Operations Module 08: Management of Service Quality in the Hospitality Industry Module 09: Marketing in Travel and Tourism Business Module 10: Accounting in Hospitality Industry Module 11: Customer Satisfaction Module 12: E-Hospitality and Technology Assessment Process After completing an online course module, you will be given immediate access to a specially designed MCQ test. The results will be immediately analysed, and the score will be shown for your review. The passing score for each test will be set at 60%. After passing the Diploma in Hotel Manager at QLS Level 5 exam, you will be able to request a certificate at an additional cost that has been endorsed by the Quality Licence Scheme. CPD 150 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Our Hotel Manager course is designed for: Aspiring hotel managers who want to develop their skills and knowledge in hotel management. Professionals in the hospitality industry looking to enhance their efficiency and advance their careers. Entrepreneurs planning to open a hotel or hospitality business. Individuals who want to transition into the hospitality industry from other industries. Students or recent graduates who want to gain a comprehensive understanding of hotel management and the hospitality industry. Requirements You will not need any prior background or expertise to enrol in this course. Career path Hotel Manager - £26,000 to £75,000 per annum Hospitality Manager - £20,000 to £50,000 per annum Front Office Manager - £18,000 to £45,000 per annum Food and Beverage Manager - £18,000 to £45,000 per annum Marketing Manager - £22,000 to £50,000 per annum Revenue Manager - £25,000 to £60,000 per annum Certificates Certificate of completion Digital certificate - £10 Diploma in Hotel Manager at QLS Level 5 Hard copy certificate - £119 Show off Your New Skills with a Certificate of Completion After successfully completing the Diploma in Hotel Manager at QLS Level 5, you can order an original hardcopy certificate of achievement endorsed by the Quality Licence Scheme. The certificate will be home-delivered, with a pricing scheme of - 119 GBP inside the UK 129 GBP (including postal fees) for International Delivery Certificate Accredited by CPDQS 29 GBP for Printed Hardcopy Certificate inside the UK 39 GBP for Printed Hardcopy Certificate outside the UK (International Delivery)

Presently, there are roughly 1.9 million people working in the hospitality industry. And if you prefer to study this Advanced Diploma in Restaurant and Hospitality Management course, then there is a probability for you to be one of them. We all probably know why the hospitality industry is so thriving these days, and why so many people desire to work in it. We have delicately designed this course where you will learn restaurant and hospitality management at the same time. You will learn how to work in a fast-paced environment and perform varied tasks every day. Become a part of the foodservice industry and learn hospitality management with just one single course. Who is the course for? Any professional who works in the hotel or part of a hotel's management People who have an interest in hospitality and management Entry Requirement: This course is available to all learners, of all academic backgrounds. Learners should be aged 16 or over to undertake the qualification. Good understanding of English language, numeracy and ICT are required to attend this course. CPD Certificate from Course Gate At the successful completion of the course, you can obtain your CPD certificate from us. You can order the PDF certificate for £9 and the hard copy for £15. Also, you can order both PDF and hardcopy certificates for £22. Career path This course opens a new door for you to enter the relevant job market and also gives you the opportunity to acquire extensive knowledge along with required skills to become successful. You will be able to add our qualification to your CV/resume which will help you to stand out in the competitive job industry. Course Curriculum Advanced Diploma in Restaurant and Hospitality Management - Update Version Module 1: Introduction to Hospitality Management Introduction to Hospitality Management 00:21:00 Module 2: An Overview of Hotel Industry An Overview of Hotel Industry 00:15:00 Module 3: The Process of Selection and Recruitment in Hospitality Industry The Process of Selection And Recruitment in Hospitality Industry 00:18:00 Module 4: The Process of Development and Training in Hospitality Industry The Process of Development and Training in the Hospitality Industry 00:21:00 Module 5: Management of Front Office Operations Management of Front Office Operations 00:16:00 Module 6: Management of Housekeeping, Engineering and Security Operations Management of Housekeeping, Engineering and Security Operations 00:24:00 Module 7: Management of Food and Beverage Operations Management of Food and Beverage Operations 00:17:00 Module 8: Management of Service Quality in Hospitality Industry Management of Service Quality in the Hospitality Industry 00:17:00 Module 9: Marketing in Travel and Tourism Business Marketing in Travel and Tourism Business 00:21:00 Module 10: Accounting in Hospitality Industry Accounting in Hospitality 00:23:00 Module 11: Customer Satisfaction Customer Satisfaction 00:20:00 Module 12: E-Hospitality and Technology E-Hospitality and Technology 00:19:00 Advanced Diploma in Restaurant and Hospitality Management - Old Version Starting a Restaurant Are you ready for the challenge? 00:15:00 How to decide on a concept 00:30:00 Designing your restaurant 00:15:00 Friends and family 00:15:00 Writing a Business Plan 00:30:00 Insurance 00:15:00 Restaurant Organizations that you need to check out. 00:15:00 What are the best Catering Industry Trade Shows? 00:15:00 Managing a Restaurant Managing Yourself 00:30:00 Managing Others 00:30:00 Managing Your Money 00:15:00 Managing Your Food and Supplies 00:30:00 Managing Everything Else 00:30:00 Starting Food Catering Where You Work 00:15:00 Health and safety 00:15:00 Staff, Suppliers and Transport 00:00:00 Food Hygiene 01:00:00 Rules about Menus 00:15:00 Paperwork and Finances 00:15:00 Law 00:15:00 Food Business Food Business Basics 00:45:00 Put Together Your Business Concept 00:10:00 Identify Your Target Market 00:10:00 Identify Your Competition 00:10:00 Write A Mission Statement 00:10:00 Downline Basics 00:15:00 Equipment And Supplies 00:10:00 Marketing And Quality Control 00:10:00 Wrapping Up 00:05:00 Hospitality Introduction to Hospitality 00:15:00 Characteristics of the Hospitality Industry 00:15:00 Relationship Between the Hospitality Industry and Tourism 00:15:00 Types of Accommodation 00:15:00 Types of Room 00:30:00 Types of Hotel Guests 00:15:00 Hospitality Management Introduction to Hospitality Management 01:00:00 Influences Which Affect the Industry 00:05:00 The Development of the Hospitality Industry 00:05:00 Hospitality Brands 00:15:00 Accommodation 00:05:00 Food Service 00:05:00 Successful Quality Management 00:05:00 Certificate and Transcript Order Your Certificates or Transcripts 00:00:00