2720 Engineer courses in Halstead delivered On Demand

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

Recognised Accreditation This course is accredited by continuing professional development (CPD). CPD UK is globally recognised by employers, professional organisations, and academic institutions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. Course Curriculum Introduction Scope of The Course 00:02:00 What is Metal Forming 00:05:00 Re-crystallization 00:07:00 Hot VS Cold Working of Metals 00:02:00 Flow Stress 00:08:00 Rolling Process Terminology 00:06:00 Rolling Mechanism - Avoiding Unbalanced Forces 00:08:00 Rolling Mechanism - Angle of Bite & Deformation Length 00:08:00 Slip 00:04:00 Maximum Reduction 00:03:00 Force and Power in Rolling Processes 00:02:00 Reducing Power & Force 00:04:00 Types of Rolling Mills 00:06:00 The ROLL PASS Design 00:06:00 Rolling Defects 00:03:00 How to Create a Production Report for a Rolling Mill 00:17:00 Extrusion & Drawing Understanding Extrusion 00:02:00 Types of Extrusion Process 00:05:00 Important Formulae 00:03:00 Advantages & Drawbacks of Extrusion 00:02:00 Wire Drawing 00:04:00 Force and Power in Drawing 00:04:00 Tube Drawing 00:03:00 Forging Process Why Forged Parts are The Best 00:03:00 Types of Forging 00:03:00 Forgeability 00:02:00 Forging Analysis 00:02:00 Forging Operations 00:02:00 Forging Defects 00:03:00 Sheet Metal Operations Advantages of Sheet Metal 00:03:00 Punching and Blanking 00:04:00 Sheet Metal Operations 00:03:00 Obtain Your Certificate Order Your Certificate of Achievement 00:00:00 Get Your Insurance Now Get Your Insurance Now 00:00:00 Feedback Feedback 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

Recognised Accreditation This course is accredited by continuing professional development (CPD). CPD UK is globally recognised by employers, professional organisations, and academic institutions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. What is CPD? Employers, professional organisations, and academic institutions all recognise CPD, therefore a credential from CPD Certification Service adds value to your professional goals and achievements. Benefits of CPD Improve your employment prospects Boost your job satisfaction Promotes career advancement Enhances your CV Provides you with a competitive edge in the job market Demonstrate your dedication Showcases your professional capabilities What is IPHM? The IPHM is an Accreditation Board that provides Training Providers with international and global accreditation. The Practitioners of Holistic Medicine (IPHM) accreditation is a guarantee of quality and skill. Benefits of IPHM It will help you establish a positive reputation in your chosen field You can join a network and community of successful therapists that are dedicated to providing excellent care to their client You can flaunt this accreditation in your CV It is a worldwide recognised accreditation What is Quality Licence Scheme? This course is endorsed by the Quality Licence Scheme for its high-quality, non-regulated provision and training programmes. The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. Benefits of Quality License Scheme Certificate is valuable Provides a competitive edge in your career It will make your CV stand out Course Curriculum Introduction Why Study Operations Research 00:03:00 Scope of The Course 00:02:00 LPP - Linear Programming Problems What Are Optimization Problems 00:02:00 Mathematical formulation of LPP 00:07:00 Steps for Solving An LPP 00:02:00 LPP Formulation 00:05:00 How To Draw Graphs 00:02:00 Numerical Based On Graphical Method 00:08:00 Shortcut Slope Method 00:03:00 Binding Constraints & Special Cases 00:05:00 LPP Analytical (Simplex) Method 00:06:00 Numerical Based On Simplex Method 00:09:00 Transportation Problems What Are Transporation Problems. 00:04:00 Allocation 00:04:00 North-West Corner Rule Or DENTZY's Methods 00:04:00 Vogel's Approximation Method (VAM) 00:04:00 Numerical On Transportation Problems 00:04:00 Assignment Problems Understanding Assignment Problems 00:02:00 Hungarian Method or Flood Technique 00:04:00 Numerical On Assignment Problem 00:03:00 Solving Maximization Transportation & Assignment Problems 00:01:00 Sequencing The Appropriate Order 00:04:00 SPT - Shortest Processing Time 00:04:00 EDD - Earliest Due Date 00:03:00 N Jobs In 2 Machines 00:04:00 Numerical On N Jobs In 2 Machines 00:04:00 Queuing Theory Mathematical Study Of Queues 00:04:00 Why is Queuing Theory Important 00:02:00 Kendall Notation 00:04:00 Important Formulae 00:03:00 Numerical On Queuing Theory 00:02:00 PERT & CPM - Network Analysis Project,Activity & Event 00:02:00 Rules For Network Diagram 00:01:00 Types Of Network Diagram 00:01:00 How To Make a Network Diagram 00:02:00 Network Analysis 00:01:00 CPM - Critical Path Method 00:02:00 Computational Approach Of CPM 00:06:00 PERT - Program Evaluation Review Technique 00:03:00 Numerical On PERT Analysis 00:04:00 Obtain Your Certificate Order Your Certificate of Achievement 00:00:00 Get Your Insurance Now Get Your Insurance Now 00:00:00 Feedback Feedback 00:00:00

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

CPD Accredited | Career Oriented Learning Modules | 24x7 Tutor Support | Lifetime Access

>> 12-Hour Knowledge Knockdown! Prices Reduced Like Never Before << The UK hospitality industry is a major employer, contributing significantly to the economy. Did you know it employs over 3.2 million people and generates over £200 billion in revenue annually? Have you ever wondered what it takes to run a successful hotel? This Hotel Management course will equip you with the knowledge and skills to excel in this exciting field. Our comprehensive Hotel Management course covers everything you need to know about the industry, from its structure and operations to essential skills like customer service and marketing. You'll learn about the recruitment and training processes, understand the intricacies of front office, housekeeping, and food & beverage operations. We'll explore how to achieve exceptional service quality, develop effective marketing strategies, and navigate the world of hospitality accounting. Additionally, you'll gain insights into the growing importance of e-hospitality and technology in today's travel and tourism landscape. Learning Outcomes of Hotel Management Explain the structure and operations of different hotel departments. Implement effective recruitment and training strategies in hospitality. Ensure smooth front office operations and deliver exceptional guest service. Apply best practices in housekeeping, engineering, and security management. Develop and implement effective marketing strategies for the hospitality industry. Analyze financial statements specific to the hotel industry. Whether you're looking to enter the hospitality industry for the first time or are looking to advance your current career, this course is an excellent investment in your future. Sign up today and take the first step towards a fulfilling career in hotel management! Why Choose Our Hotel Management Course? Get a free student ID card with Hotel Management Training Get instant access to this Hotel Management course. The Hotel Management is affordable and simple to understand The Hotel Management is an entirely online, interactive lesson with voiceover audio Lifetime access to the Hotel Management course materials The Hotel Management comes with 24/7 tutor support Start your learning journey straightaway! *** Course Curriculum *** Here is the curriculum breakdown of this course: Module 1: Introduction Module 2: An Overview of the Hotel Industry Module 3: The Process of Selection and Recruitment in the Hospitality Industry Module 4: The Process of Development and Training in the Hospitality Industry Module 5: Front Office Operations Module 6: Housekeeping, Engineering, and Security Operations Module 7: Food and Beverage Operations Module 8: Service Quality in the Hospitality Industry Module 9: Marketing in Travel and Tourism Business Module 10: Accounting in Hospitality Industry Module 11: Customer Satisfaction Module 12: E-Hospitality and Technology How will I get my Certificate? After successfully completing the course, you will be able to order your Certificates as proof of your achievement. PDF Certificate: £12.99 CPD Hard Copy Certificate: £29.99 CPD 180 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Hotel Management Training is perfect for highly motivated people who want to improve their technical skills and prepare for the career they want! People interested in Hotel Business Interested in starting Hotel Management Agency Looking forward to starting a career as Hotel Manager, Supervisor etc Hotel Operation Supervisor Anyone interested to learn more about Hotel Management Process Requirements You will not need any prior background or expertise to enrol in this Hotel Management Training bundle. Career path Upon successful completion of our course, candidates may choose to pursue an extensive range of careers, including: Back Office Supervisor Event Planner Hotel Manager Hotel Supervisor Executive Manager (Hotel & Tourism) Executive Meeting Manager Front Desk Supervisor Certificates CPD Accredited Digital Certificate Digital certificate - £12.99 CPD Accredited Hard Copy Certificate Hard copy certificate - £29.99 Please note that International students have to pay an additional £10 as a shipment fee.

24 Hours Left! Don't Let the Winter Deals Slip Away - Enrol Now! Since it has changed the way designers execute their jobs across various sectors, CAD software is significant. By adopting CAD, designers may enhance the quality of their designs, boost their design-creation productivity, and enhance collaboration with other designers. It implies a higher value of your CV. So, do you want to go for it? This Diploma in CAD Online Training at QLS Level 5 course is endorsed by The Quality Licence Scheme and accredited by CPDQS to make your skill development & career progression more accessible than ever! In this CAD course, you will get a complete introduction to CAD design. You will learn about 2D, and 3D shapes, geometry, modelling, assemblies, extrusion, and rotation. In addition, we will discuss blending operations, civil drawings, AutoCAD, T-Flex CAD, and many other important topics. In the UK, Computer-Aided Design has already taken the position of manual drawing, which is utilised by engineers, architects, and construction managers. It helps users create 2D or 3D drawings. Using CAD, the design process may be improved, adjusted, and enhanced. As a result, there is now a huge need for CAD knowledge. You are just one step away from developing your skill set based on CAD. Learn everything about it through our comprehensive course and reap the benefits later in your career. Hope to see you inside! Upon successful completion of this CAD course, you will be able to, Discover the designer career in the United Kingdom. Explore the basics of Computer Aided Design design. Improve your knowledge of AutoCAD programming. Learn about 2D and 3D shapes. Learn the fundamentals of geometry and modelling. Determine how to work with grids and regular polygons Become more knowledgeable about extrusion and rotations. Recognise the value of blending operations. Take a step toward a brighter future! *** Course Curriculum *** Module 01: Introduction Module 02: Designer Career in the United Kingdom Module 03: Basics for CAD Design - Part 1 Module 04: Basics for CAD Design - Part 2 Module 05: 2D Shape Module 06: 3D Shape Module 07: Geometry and Modelling Module 08: Assemblies Module 09: Extrusion and Rotations Module 10: Blending Operations Module 11: Grids and Regular Polygons Module 12: Parameters in Civil Drawings Module 13: Introduction to AutoCAD Module 14: Introduction to T-Flex CAD Module 15: Introduction to SolidWorks Module 16: Introduction to FreeCAD 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 CAD Online Training 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? This Computer Aided Design course is for: Anyone who wants to learn about Computer Aided Design. Professionals who wish to brush up on their skills. Aspiring Civil Engineers and Architects Requirements You will not need any prior background or expertise to enrol in this course. Career path This course is uniquely designed and beneficial for the following careers as well. CAD Technician Revit CAD Technician MEP Revit These professions typically earn between £35,000 and £45,000 per year in the UK. Certificates CPDQS Accredited Certificate Digital certificate - £10 Diploma in CAD Online Training at QLS Level 5 Hard copy certificate - £119 Show off Your New Skills with a Certificate of Completion After successfully completing the Diploma in CAD Online Training at QLS Level 5 course, 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 CPDQS Accredited Certificate 29 GBP for Printed Hardcopy Certificate inside the UK 39 GBP for Printed Hardcopy Certificate outside the UK (international delivery)

With the advancement of technology, networking has become a promising sector. It offers a massive number of employment opportunities with good salaries. As a network specialist, you can earn an average of £47,000 annually. Due to these reasons, the competition is also high. If you want to thrive in this sector, you must offer something extra. The Networking course can help you out. It will assist you in building your abilities in this area. From this highly informative course, you will understand networking better. The easy-to-follow modules will educate you on the fundamentals of security assessment. You will receive valuable information on security engineering. In addition, the course will help you dig deep inside identity and access management. This course is perfect for enhancing your skills in network security testing. Furthermore, you will learn the vitals of network development security. This course is focused on providing you with a valuable set and also helping you build an impressive CV. After completing the course, you will receive a certificate of achievement. This certificate will add significant value to your resume. Enrol today! Key Learnings: Learn the fundamentals of networking Understand the process of network security assessment Get an in-depth understanding of identity and access management Build your expertise in security testing Grasp the essentials of network development security Experts created the Fundamentals of Networking course to provide a rich and in-depth training experience for all students who enrol in it. Enrol in the course right now and you'll have immediate access to all of the Fundamentals of Networking course materials. Then, from any internet-enabled device, access the Fundamentals of Networking course materials and learn when it's convenient for you. Start your learning journey straight away with this course and take a step toward a brighter future! Why Prefer this Course? Opportunity to earn a certificate accredited by CPD after completing this course Student ID card with amazing discounts - completely for FREE! (£10 postal charges will be applicable for international delivery) Standards-aligned lesson planning Innovative and engaging content and activities Assessments that measure higher-level thinking and skills Complete the program in your own time, at your own pace Each of our students gets full 24/7 tutor support *** Course Curriculum *** Here is the curriculum breakdown of the course: Fundamentals of Networking Course Module 1: Security and Risk Management Module 2: Asset Security Module 3: Security Engineering Module 4: Communication and Network Security Module 5: Identity and Access Management Module 6: Security Assessment and Testing Module 7: Security Operations Module 8: Software Development Security Assessment Process Once you have completed all the modules in the course, your skills and knowledge will be tested with an automated multiple-choice assessment. You will then receive instant results to let you know if you have successfully passed the Fundamentals of Networking course. Show off Your New Skills with a Certificate of Completion The learners have to complete the assessment of this course to achieve the CPD accredited certificate. Digital certificates can be ordered for only £10. The learner can purchase printed hard copies inside the UK for £29, and international students can purchase printed hard copies for £39. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This course is designed for the following: IT professionals seeking to improve their skills and advance their careers in networking Students pursuing a degree or certification in computer science, information technology, or a related field Individuals looking to transition into a career in networking IT managers or administrators seeking to enhance their knowledge of networking concepts and technologies Small business owners and entrepreneurs who want to improve their understanding of networking for their companies Freelance technicians or consultants who want to expand their networking services Requirements The Fundamentals of Networking program does not require any prior knowledge; everyone may participate! This Fundamentals of Networking course is open to anyone interested in learning from anywhere in the world. Every student must be over the age of 16 and have a passion for learning and literacy. This 100% online course can be accessed from any internet-connected device, such as a computer, tablet, or smartphone. This Fundamentals of Networking course allows you to study at your speed and grow a quality skillset. Career path The networking course will equip you with effective skills and abilities. Upon successful completion of this course, you will be able to explore career options such as: Network Specialist (Average salary range £47,000 per year) Network Technician (Average salary range £27,000 per year) Network Administrator (Average salary range £33,000 per year)