4043 Analyst courses in Liverpool delivered Online

Are you ready to be at the helm, steering the ship into a realm where data is the new gold? In the infinite world of data, where information spirals at breakneck speed, lies a universe rich in potential and discovery: the domain of Data Science and Visualisation. This 'Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3' course unravels the wonders of extracting meaningful insights using Python, the worldwide leading language of data experts. Harnessing the strength of Python, you'll delve deep into data analysis, experience the finesse of visualisation tools, and master the art of Machine Learning. The need to understand, interpret, and act on this data has become paramount, with vast amounts of data increasing the digital sphere. Envision a canvas where raw numbers are transformed into visually compelling stories, and machine learning models foretell future trends. This course provides a meticulous pathway for anyone eager to learn the data representation paradigms backed by Python's robust libraries. Dive into a curriculum rich with analytical explorations, visual artistry, and machine learning predictions. Learning Outcomes Understanding the foundations and functionalities of Python, focusing on its application in data science. Applying various Python libraries like NumPy and Pandas for effective data analysis. Demonstrating proficiency in creating detailed visual narratives using tools like matplotlib, Seaborn, and Plotly. Implementing Machine Learning algorithms in Python using scikit-learn, ranging from regression models to clustering techniques. Designing and executing a holistic data analysis and visualisation project, encapsulating all learned techniques. Exploring advanced topics, encompassing recommender systems and natural language processing with Python. Attaining the confidence to independently analyse complex data sets and translate them into actionable insights.   Video Playerhttps://studyhub.org.uk/wp-content/uploads/2021/03/Data-Science-and-Visualisation-with-Machine-Learning.mp400:0000:0000:00Use Up/Down Arrow keys to increase or decrease volume. Why buy this Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments are designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Who is this Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 course for? Aspiring data scientists aiming to harness the power of Python. Researchers keen to enrich their analytical and visualisation skills. Analysts aiming to add machine learning to their toolkit. Developers striving to integrate data analytics into applications. Business professionals desiring data-driven decision-making capabilities. Career path Data Scientist: £55,000 - £85,000 Per Annum Machine Learning Engineer: £60,000 - £90,000 Per Annum Data Analyst: £30,000 - £50,000 Per Annum Data Visualisation Specialist: £45,000 - £70,000 Per Annum Natural Language Processing Specialist: £65,000 - £95,000 Per Annum Business Intelligence Developer: £40,000 - £65,000 Per Annum Prerequisites This Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 does not require you to have any prior qualifications or experience. You can just enrol and start learning. This Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Endorsed Certificate of Achievement from the Quality Licence Scheme Learners will be able to achieve an endorsed certificate after completing the course as proof of their achievement. You can order the endorsed certificate for only £85 to be delivered to your home by post. For international students, there is an additional postage charge of £10. Endorsement The Quality Licence Scheme (QLS) has endorsed this course for its high-quality, non-regulated provision and training programmes. The QLS is a UK-based organisation that sets standards for non-regulated training and learning. This endorsement means that the course has been reviewed and approved by the QLS and meets the highest quality standards. Please Note: Studyhub is a Compliance Central approved resale partner for Quality Licence Scheme Endorsed courses. Course Curriculum Welcome, Course Introduction & overview, and Environment set-up Welcome & Course Overview 00:07:00 Set-up the Environment for the Course (lecture 1) 00:09:00 Set-up the Environment for the Course (lecture 2) 00:25:00 Two other options to setup environment 00:04:00 Python Essentials Python data types Part 1 00:21:00 Python Data Types Part 2 00:15:00 Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 1) 00:16:00 Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 2) 00:20:00 Python Essentials Exercises Overview 00:02:00 Python Essentials Exercises Solutions 00:22:00 Python for Data Analysis using NumPy What is Numpy? A brief introduction and installation instructions. 00:03:00 NumPy Essentials - NumPy arrays, built-in methods, array methods and attributes. 00:28:00 NumPy Essentials - Indexing, slicing, broadcasting & boolean masking 00:26:00 NumPy Essentials - Arithmetic Operations & Universal Functions 00:07:00 NumPy Essentials Exercises Overview 00:02:00 NumPy Essentials Exercises Solutions 00:25:00 Python for Data Analysis using Pandas What is pandas? A brief introduction and installation instructions. 00:02:00 Pandas Introduction 00:02:00 Pandas Essentials - Pandas Data Structures - Series 00:20:00 Pandas Essentials - Pandas Data Structures - DataFrame 00:30:00 Pandas Essentials - Handling Missing Data 00:12:00 Pandas Essentials - Data Wrangling - Combining, merging, joining 00:20:00 Pandas Essentials - Groupby 00:10:00 Pandas Essentials - Useful Methods and Operations 00:26:00 Pandas Essentials - Project 1 (Overview) Customer Purchases Data 00:08:00 Pandas Essentials - Project 1 (Solutions) Customer Purchases Data 00:31:00 Pandas Essentials - Project 2 (Overview) Chicago Payroll Data 00:04:00 Pandas Essentials - Project 2 (Solutions Part 1) Chicago Payroll Data 00:18:00 Python for Data Visualization using matplotlib Matplotlib Essentials (Part 1) - Basic Plotting & Object Oriented Approach 00:13:00 Matplotlib Essentials (Part 2) - Basic Plotting & Object Oriented Approach 00:22:00 Matplotlib Essentials (Part 3) - Basic Plotting & Object Oriented Approach 00:22:00 Matplotlib Essentials - Exercises Overview 00:06:00 Matplotlib Essentials - Exercises Solutions 00:21:00 Python for Data Visualization using Seaborn Seaborn - Introduction & Installation 00:04:00 Seaborn - Distribution Plots 00:25:00 Seaborn - Categorical Plots (Part 1) 00:21:00 Seaborn - Categorical Plots (Part 2) 00:16:00 Seborn-Axis Grids 00:25:00 Seaborn - Matrix Plots 00:13:00 Seaborn - Regression Plots 00:11:00 Seaborn - Controlling Figure Aesthetics 00:10:00 Seaborn - Exercises Overview 00:04:00 Seaborn - Exercise Solutions 00:19:00 Python for Data Visualization using pandas Pandas Built-in Data Visualization 00:34:00 Pandas Data Visualization Exercises Overview 00:03:00 Panda Data Visualization Exercises Solutions 00:13:00 Python for interactive & geographical plotting using Plotly and Cufflinks Plotly & Cufflinks - Interactive & Geographical Plotting (Part 1) 00:19:00 Plotly & Cufflinks - Interactive & Geographical Plotting (Part 2) 00:14:00 Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Overview) 00:11:00 Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Solutions) 00:37:00 Capstone Project - Python for Data Analysis & Visualization Project 1 - Oil vs Banks Stock Price during recession (Overview) 00:15:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 1) 00:18:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 2) 00:18:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 3) 00:17:00 Project 2 (Optional) - Emergency Calls from Montgomery County, PA (Overview) 00:03:00 Python for Machine Learning (ML) - scikit-learn - Linear Regression Model Introduction to ML - What, Why and Types.. 00:15:00 Theory Lecture on Linear Regression Model, No Free Lunch, Bias Variance Tradeoff 00:15:00 scikit-learn - Linear Regression Model - Hands-on (Part 1) 00:17:00 scikit-learn - Linear Regression Model Hands-on (Part 2) 00:19:00 Good to know! How to save and load your trained Machine Learning Model! 00:01:00 scikit-learn - Linear Regression Model (Insurance Data Project Overview) 00:08:00 scikit-learn - Linear Regression Model (Insurance Data Project Solutions) 00:30:00 Python for Machine Learning - scikit-learn - Logistic Regression Model Theory: Logistic Regression, conf. mat., TP, TN, Accuracy, Specificityetc. 00:10:00 scikit-learn - Logistic Regression Model - Hands-on (Part 1) 00:17:00 scikit-learn - Logistic Regression Model - Hands-on (Part 2) 00:20:00 scikit-learn - Logistic Regression Model - Hands-on (Part 3) 00:11:00 scikit-learn - Logistic Regression Model - Hands-on (Project Overview) 00:05:00 scikit-learn - Logistic Regression Model - Hands-on (Project Solutions) 00:15:00 Python for Machine Learning - scikit-learn - K Nearest Neighbors Theory: K Nearest Neighbors, Curse of dimensionality . 00:08:00 scikit-learn - K Nearest Neighbors - Hands-on 00:25:00 scikt-learn - K Nearest Neighbors (Project Overview) 00:04:00 scikit-learn - K Nearest Neighbors (Project Solutions) 00:14:00 Python for Machine Learning - scikit-learn - Decision Tree and Random Forests Theory: D-Tree & Random Forests, splitting, Entropy, IG, Bootstrap, Bagging. 00:18:00 scikit-learn - Decision Tree and Random Forests - Hands-on (Part 1) 00:19:00 scikit-learn - Decision Tree and Random Forests (Project Overview) 00:05:00 scikit-learn - Decision Tree and Random Forests (Project Solutions) 00:15:00 Python for Machine Learning - scikit-learn -Support Vector Machines (SVMs) Support Vector Machines (SVMs) - (Theory Lecture) 00:07:00 scikit-learn - Support Vector Machines - Hands-on (SVMs) 00:30:00 scikit-learn - Support Vector Machines (Project 1 Overview) 00:07:00 scikit-learn - Support Vector Machines (Project 1 Solutions) 00:20:00 scikit-learn - Support Vector Machines (Optional Project 2 - Overview) 00:02:00 Python for Machine Learning - scikit-learn - K Means Clustering Theory: K Means Clustering, Elbow method .. 00:11:00 scikit-learn - K Means Clustering - Hands-on 00:23:00 scikit-learn - K Means Clustering (Project Overview) 00:07:00 scikit-learn - K Means Clustering (Project Solutions) 00:22:00 Python for Machine Learning - scikit-learn - Principal Component Analysis (PCA) Theory: Principal Component Analysis (PCA) 00:09:00 scikit-learn - Principal Component Analysis (PCA) - Hands-on 00:22:00 scikit-learn - Principal Component Analysis (PCA) - (Project Overview) 00:02:00 scikit-learn - Principal Component Analysis (PCA) - (Project Solutions) 00:17:00 Recommender Systems with Python - (Additional Topic) Theory: Recommender Systems their Types and Importance 00:06:00 Python for Recommender Systems - Hands-on (Part 1) 00:18:00 Python for Recommender Systems - - Hands-on (Part 2) 00:19:00 Python for Natural Language Processing (NLP) - NLTK - (Additional Topic) Natural Language Processing (NLP) - (Theory Lecture) 00:13:00 NLTK - NLP-Challenges, Data Sources, Data Processing .. 00:13:00 NLTK - Feature Engineering and Text Preprocessing in Natural Language Processing 00:19:00 NLTK - NLP - Tokenization, Text Normalization, Vectorization, BoW. 00:19:00 NLTK - BoW, TF-IDF, Machine Learning, Training & Evaluation, Naive Bayes 00:13:00 NLTK - NLP - Pipeline feature to assemble several steps for cross-validation 00:09:00 Resources Resources - Data Science and Visualisation with Machine Learning 00:00:00 Order your QLS Endorsed Certificate Order your QLS Endorsed Certificate 00:00:00

Course Overview The "Criminology & Profiling" course provides an in-depth exploration of criminology, criminal behaviour, and profiling techniques. Learners will gain a comprehensive understanding of crime classification, the psychology of offenders, and the methods used in criminal investigations. This course combines theory with practical insights, preparing individuals to analyse criminal patterns and contribute to crime prevention strategies. Learners will leave with the skills to evaluate crime scenes, profile offenders, and understand the workings of the criminal justice system. The course offers an essential foundation for anyone seeking to work in criminology or forensic psychology, equipping them with the expertise to support law enforcement agencies and legal professionals. Course Description This course delves into various facets of criminology, with modules covering the classification of crime, violent crimes, criminal psychology, and the forensic science used in profiling offenders. It explores offender profiling, the phases of profiling, and investigative strategies that draw from behavioural science. Learners will examine crime scenes, develop an understanding of victimology, and explore the roles within the criminal justice system. Through this structured curriculum, learners will develop skills to identify criminal behaviour, understand criminal motivation, and apply profiling techniques to real-world cases. The course is designed to equip learners with a strong theoretical foundation, complemented by an understanding of practical approaches in criminology and profiling. Course Modules Module 01: Introduction to Criminology and Profiling Module 02: Classification of Crime Module 03: Violent Crimes Module 04: The Crime Scene Module 05: Dealing with Crime Module 06: Understanding Criminal Psychology Module 07: Forensic Science Module 08: Phases of Profiling Module 09: Criminal Profiling: Science, Logic and Metacognition Module 10: Offender Profiling: Pragmatic Solution and Behavioural Investigative Advice Module 11: Victimology Module 12: The Criminal Justice System in England and Wales (See full curriculum) Who is this course for? Individuals seeking to understand criminal behaviour and profiling techniques. Professionals aiming to advance their career in criminology or forensic psychology. Beginners with an interest in criminology, criminal justice, or psychology. Those interested in law enforcement and criminal investigation. Career Path Criminologist Criminal Profiler Forensic Psychologist Police Detective Criminal Justice Researcher Victim Support Specialist Legal Consultant Crime Analyst

IT Security & Data Analysis Course - CPD Certified Open up your IT passion by unlocking our IT security course! Do you want to begin a career as a professional in IT security? Do you want to expand your knowledge about IT security? With the help of this IT Security course, you'll be more determined than ever to advance your professional career and broaden your knowledge in this IT security area. Although they sound similar, information security and IT security refer to different types of security. Information security refers to the practices and tools used to prevent unauthorised access to sensitive corporate data, whereas IT security is the protection of digital data through computer network security. Even though maintaining IT security may be expensive, a significant breach may cost a company far more. This IT Security Course will provide you with a solid foundation so that you can develop the confidence to become an expert in IT Security and acquire more sophisticated skills to fill in the gaps for increased effectiveness and productivity. If you think you have what it takes to enter this IT security field, an IT security course can help you with your initial training and job preparation. IT Security is ready with all the necessary data that is meant to instruct and direct people in the requirements for this position. Don't wait any longer. Enrol in our IT security course to become a certified IT security professional. IT Security & Data Analysis Course - CPD CertifiedCourse This IT Security: IT Security Course includes a FREE PDF Certificate. Lifetime access to this IT Security: IT Security Course Instant access to this IT Security: IT Security Course Get FREE Tutor Support to this IT Security: IT Security Course IT Security & Data Analysis Course - CPD Certified Unlock your career potential with our IT Security course! Ready to dive into the world of IT Security? Our comprehensive IT Security course equips you with essential skills to protect digital data and secure networks. You’ll gain expertise in areas like information security vs. IT Security, learning the differences and critical tools needed for each. This IT Security course prepares you to tackle real-world challenges, understand the financial impacts of security breaches, and become a trusted expert. Don’t miss out—enrol in our IT Security course today and set yourself on the path to becoming a certified IT Security professional! Who is this course for? IT Security & Data Analysis Course - CPD Certified Anyone who wants to work in the IT industry can take our It Security: IT Security course. Requirements IT Security & Data Analysis Course - CPD Certified To enrol in this IT Security Course, students must fulfil the following requirements: Good Command over English language is mandatory to enrol in our IT Security: IT Security Course. Be energetic and self-motivated to complete our IT Security: IT Security Course. Basic computer Skill is required to complete our IT Security: IT Security Course. If you want to enrol in our IT Security: IT Security Course, you must be at least 15 years old. Career path IT Security & Data Analysis Course - CPD Certified Many doors in the job market will be made available by the IT Security course. For instance, an IT technician, a cyber security analyst, or a penetration tester. The average salary for IT security professionals in the UK ranges between £60,000 and £100,000 per annum.

Embark on a transformative journey through the intricate landscape of networking with the CompTIA Network+ Certification (N10-007). This course isn't just about mastering the intricacies of network models or delving into the depths of cabling and topology; it's about empowering yourself with the skills and knowledge to navigate the digital highways of the modern era confidently. Picture yourself as the architect, laying down the foundations of robust networks, securing them against digital threats, and troubleshooting with finesse. With CompTIA Network+ +, you're not just learning; you're shaping your future in information technology. In this comprehensive course, you'll traverse through 22 meticulously crafted sections, each unlocking a new facet of comptia networking. From understanding the fundamentals of TCP/IP to exploring the nuances of wireless networking and delving into virtualization and cloud computing, every lesson is a stepping stone towards network mastery. Through immersive learning experiences and hands-on comptia network+ practice tests, you'll absorb theoretical knowledge and hone your practical skills, preparing you for real-world challenges. Learning Outcomes: Master network models and topologies, laying a strong foundation for network architecture. Demonstrate proficiency in TCP/IP fundamentals and routing protocols for effective data transmission. Develop expertise in securing networks against cyber threats, ensuring data integrity and confidentiality. Acquire skills in network troubleshooting and monitoring, enabling swift resolution of issues. Apply wireless networking and cloud computing knowledge to design and implement scalable network solutions. Why buy this CompTIA Network+ Certification (N10-007)? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the CompTIA Network+ Certification (N10-007) there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this CompTIA Network+ Certification (N10-007) for? Aspiring IT professionals seeking to kickstart their careers in networking. Students aiming to enhance their employability with industry-recognized certifications. Career changers looking to transition into the dynamic field of information technology. IT professionals seeking to validate their skills and advance their careers. Anyone passionate about mastering the intricacies of comptia network and carving a niche in the digital landscape. Prerequisites This CompTIA Network+ Certification (N10-007) does not require you to have any prior qualifications or experience. You can just enrol and start learning.This CompTIA Network+ Certification (N10-007) was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path Network Administrator: £20,000 - £45,000 Per Annum Network Engineer: £25,000 - £55,000 Per Annum Systems Administrator: £22,000 - £50,000 Per Annum IT Support Technician: £18,000 - £35,000 Per Annum Cyber Security Analyst: £25,000 - £60,000 Per Annum Cloud Solutions Architect: £30,000 - £80,000 Per Annum Course Curriculum Section 01: Introduction Introduction 00:03:00 Section 02: Network Models 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 Section 03: Cabling and Topology 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 Section 04: Ethernet Basics 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 Section 05: Modern Ethernet 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 Section 06: Installing a Physical Network 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 Section 07: TCP/IP Basics 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 Section 08: Routing 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 Section 09: TCP/IP Applications 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 Section 10: Network Naming 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 Section 11: Securing TCP/IP Making TCP/IP Secure 00:04:00 Symmetric Encryption 00:06:00 Asymmetric Encryption 00:03:00 Cryptographic Hashes 00:05:00 Identification 00:12:00 Access Control 00:04:00 AAA 00:05:00 Kerberos/EAP 00:08:00 Single Sign-On 00:10:00 Certificates and Trust 00:14:00 Certificate Error Scenarios 00:08:00 Section 12: Advanced Networking Devices 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 Section 13: IPv6 Introduction to IPv6 00:13:00 IPv6 Addressing 00:15:00 IPv6 in Action 00:13:00 IPv4 and IPv6 Tunneling 00:05:00 Section 14: Remote Connectivity 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 Section 15: Wireless Networking 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 Section 16: Virtualization and Cloud Computing 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 Section 17: Mobile Networking Cellular Technologies 00:05:00 Mobile Connectivity 00:07:00 Deploying Mobile Devices 00:05:00 Mobile Access Control 00:06:00 Section 18: Building a Real-World Network 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 Section 19: Managing Risk 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 Section 20: Protecting Your Network 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 Section 21: Network Monitoring SNMP 00:15:00 Documenting Logs 00:09:00 System Monitoring 00:08:00 SIEM (Security Information and Event Management) 00:07:00 Section 22: Network Troubleshooting Network Troubleshooting Theory 00:05:00

Course Overview The Payroll Management Course provides a comprehensive introduction to the critical processes involved in managing employee compensation and workforce planning. Designed to equip learners with both theoretical knowledge and practical frameworks, this course explores essential aspects such as resourcing, talent management, job analysis, and employer branding. Through a structured learning experience, learners will develop an in-depth understanding of how effective payroll and talent strategies contribute to organisational success. Whether advancing within an existing role or preparing for a new career, participants will emerge with the confidence to manage payroll processes in alignment with broader human resource strategies. By the end of the course, learners will have a strong foundation to support organisational compliance, drive employee engagement, and contribute to business objectives through proficient payroll and resource planning. Course Description This Payroll Management Course delves into key areas vital to successful HR and payroll operations, from resourcing and talent management to performance evaluation and employer branding. Throughout the modules, learners will engage with topics such as talent planning, coaching and development, job analysis and design, and the identification of improvement opportunities within talent management systems. The course promotes a thorough understanding of how payroll intersects with broader human resources functions, providing learners with critical insights into creating effective workforce plans. Skills in workforce strategy, talent retention, and employer branding are emphasised, enabling participants to approach payroll management with a strategic and analytical mindset. Designed with clear progression and accessible learning materials, the course prepares learners to apply industry-relevant knowledge confidently in organisational settings, strengthening their professional development and career prospects. Course Modules Module 01: Introduction to Resourcing and Talent Management Module 02: Resourcing and Talent Planning Module 03: Talent Management and The Role of Recruiting Module 04: Coaching, Training and Development Module 05: Performance Management Module 06: Benefits of Talent Management Module 07: Planning Human Resources Module 08: Job Analysis and Design Module 09: Employer Branding Module 10: Improvement Opportunities of Talent Management System (See full curriculum) Who is this course for? Individuals seeking to build expertise in payroll and workforce planning. Professionals aiming to enhance their career prospects within human resources or payroll departments. Beginners with an interest in employee management and compensation processes. Business owners and managers wishing to strengthen their internal HR practices. Career Path Payroll Administrator HR Officer Talent Acquisition Specialist Workforce Planning Coordinator Human Resources Manager Compensation and Benefits Analyst Employer Branding Specialist HR Strategy Consultant

Course Overview: This Investment course offers learners a comprehensive understanding of investment strategies and financial markets. The course covers a range of essential topics, including different investment types, portfolio management, and risk assessment. Learners will gain valuable insights into bond and stock markets, enabling them to make informed decisions in diverse investment environments. The course is designed for those looking to enhance their investment knowledge, regardless of their current financial expertise, providing a solid foundation in the principles of investing. Course Description: In this course, learners will explore various investment methods, from bonds to stocks, and gain an understanding of core financial concepts such as portfolio diversification and risk management. The course delves into investment theory, focusing on how markets function, the evaluation of potential returns, and the identification of risk factors. With an emphasis on building a structured investment strategy, learners will also gain an understanding of how to manage and optimise their portfolios. By the end, learners will have the tools and knowledge to evaluate different investment opportunities, supporting their financial growth and decision-making processes. Course Modules: Module 01: Introduction to Investment Overview of investment basics The role of investments in personal finance Understanding risk and return Module 02: Types and Techniques of Investment Stock market, bonds, and real estate investments Active vs passive investing Introduction to alternative investments Module 03: Key Concepts in Investment Compound interest and time value of money Diversification and asset allocation Financial instruments overview Module 04: Understanding the Finance Basics of financial statements Financial ratios and metrics Introduction to valuation techniques Module 05: Investing in Bond Market Types of bonds and their characteristics Bond pricing and yields Understanding interest rates and bond durations Module 06: Investing in Stock Market Stock market indices and trading Analysis of stock performance Fundamentals of stock picking Module 07: Risk and Portfolio Management Measuring and managing investment risk Portfolio construction and diversification strategies Evaluating portfolio performance (See full curriculum) Who is this course for? Individuals seeking to develop investment skills for personal financial growth. Professionals aiming to enhance their understanding of financial markets. Beginners with an interest in investing and financial markets. Anyone interested in building a solid foundation in investment strategies. Career Path: Investment Analyst Financial Planner Portfolio Manager Stock Broker Risk Manager Wealth Manager Financial Consultant

Course Overview: This course provides a comprehensive introduction to the field of renewable energy, focusing on solar energy systems. Learners will explore the fundamentals of solar power, including system components, design, and application. With a practical approach, the course offers insights into both off-grid and on-grid systems, solar water pumping, and system protection. The course equips learners with essential skills for designing and optimising photovoltaic (PV) systems using industry-standard software like PVSyst, MATLAB, and ETAP. Upon completion, participants will be able to contribute to renewable energy projects, enhance their career prospects in the solar energy sector, and implement solar systems with a deeper understanding of the technological and environmental impacts. Course Description: This course delves into the key aspects of solar energy systems, offering a clear overview of essential topics such as solar panel components, battery storage, system design, and optimisation. Learners will gain in-depth knowledge of off-grid and on-grid solar energy systems, solar water pumping, and system protection. The course incorporates theoretical knowledge and system design techniques using industry-standard tools, including PVSyst, MATLAB, and ETAP. Additionally, students will learn how to design and simulate PV systems, as well as the design of system diagrams using Excel. By the end of this course, learners will have acquired the skills to confidently design and optimise solar energy systems for a range of applications, contributing to the growing renewable energy sector and ensuring sustainable energy solutions. Course Modules: Module 01: Basics of Solar Energy System Module 02: Batteries in PV System Module 03: Components and Design of Off Grid Solar Energy System Module 04: Designing of ON Grid Solar Energy System Module 05: Design of PV System Using PVSyst Programme Module 06: Solar Water Pumping System Module 07: Protection of PV System Module 08: Design Using Excel Sheet Module 09: Single Line Diagram of PV System Module 10: MATLAB and ETAP PV Simulation (See full curriculum) Who is this course for? Individuals seeking to enter the renewable energy sector. Professionals aiming to develop expertise in solar energy system design. Beginners with an interest in sustainable energy solutions. Engineers or technicians looking to broaden their knowledge of solar energy applications. Career Path Solar Energy System Designer Renewable Energy Consultant Solar Power Technician Project Manager in Renewable Energy Energy Analyst Sustainability Specialist

Course Overview The Computer Maintenance, PAT & Cyber Security course offers a comprehensive introduction to the essential components of modern IT systems, combining core knowledge in hardware setup, system troubleshooting, and security protocols. Designed to build foundational understanding as well as introduce advanced cybersecurity concepts, this course equips learners with the confidence to navigate today’s digital infrastructure. From building a computer to understanding network vulnerabilities, learners will explore a variety of modules that address both traditional and emerging technologies, including IoT and encryption. By the end of the course, students will have developed the skills to identify risks, support device performance, and understand secure systems architecture—essential for any role in technology-focused sectors. Course Description This course blends key topics across computer hardware maintenance, PAT (Portable Appliance Testing), and cyber security to prepare learners for a well-rounded understanding of IT system management. The curriculum begins with assembling and configuring computers, progressing into network security and advanced Windows troubleshooting. Learners are introduced to essential software tools and coding applications like C++ with OpenCV, and gain insights into the Internet of Things and encryption principles. Additionally, the course includes training in cyber security awareness, addressing the latest threats and preventative frameworks. With clear instructional guidance and structured content delivery, the course is suitable for learners aiming to understand technical environments and the protocols behind secure computing. It is ideal for those seeking career progression or looking to explore new opportunities in IT security, maintenance, or systems analysis. Course Modules: Module 01: Building Your Own Computer Module 02: Computer Networks Security from Scratch to Advanced Module 03: Computer Vision By Using C++ and OpenCV with GPU support Module 04: Advance Windows 10 Troubleshooting for IT HelpDesk Module 05: Portable Appliance Testing (PAT) Module 06: Internet of Things Module 07: Cyber Security Awareness Training Module 08: Encryption (See full curriculum) Who is this course for? Individuals seeking to understand IT maintenance and cybersecurity principles. Professionals aiming to broaden their knowledge of system configuration and data protection. Beginners with an interest in computer technology and digital safety. Employers looking to upskill their IT or facilities staff in security and device compliance. Career Path IT Support Specialist Systems Administrator Network Security Analyst Cyber Security Consultant Electrical Safety Compliance Officer Technical Services Coordinator

Course Overview This comprehensive Anti-Money Laundering (AML) Training Level 5 course offers a deep exploration of the UK’s anti-money laundering regulations and reporting requirements. Learners will gain a solid understanding of money laundering typologies, the legal framework surrounding the Proceeds of Crime Act 2002, and the roles and responsibilities of compliance professionals. Through structured learning, this course prepares individuals to effectively identify, assess, and report suspicious activity within financial and non-financial institutions. Ideal for professionals in banking, finance, legal, and corporate sectors, the course builds awareness of AML obligations and supports regulatory alignment. Upon completion, learners will possess the theoretical knowledge required to contribute to financial crime prevention, risk management, and organisational integrity. Course Description The Anti-Money Laundering (AML) Training Level 5 course is designed to equip learners with an in-depth understanding of regulatory requirements, reporting procedures, and due diligence obligations. The course examines key legislation such as the Proceeds of Crime Act 2002, and outlines the development of AML frameworks across sectors. Learners will study the responsibilities of the Money Laundering Reporting Officer (MLRO), the importance of record-keeping, and how to implement a risk-based approach in compliance programmes. Emphasis is placed on identifying suspicious transactions, maintaining regulatory standards, and fostering awareness throughout an organisation. Whether preparing for a role in compliance or enhancing existing knowledge, this course supports learners in aligning with UK regulatory expectations and strengthening their ability to safeguard businesses from financial crime. Course Modules: Module 01: Introduction to Money Laundering Module 02: Proceeds of Crime Act 2002 Module 03: Development of Anti-Money Laundering Regulation Module 04: Responsibility of the Money Laundering Reporting Office Module 05: Risk-based Approach Module 06: Customer Due Diligence Module 07: Record Keeping Module 08: Suspicious Conduct and Transactions Module 09: Awareness and Training (See full curriculum) Who is this course for? Individuals seeking to understand financial crime regulations and prevention measures. Professionals aiming to transition into compliance, audit, or financial regulation roles. Beginners with an interest in anti-money laundering, financial oversight, or legal studies. Employees responsible for ensuring compliance within financial or legal institutions. Career Path Anti-Money Laundering Officer Compliance Analyst Risk and Governance Associate Financial Crime Consultant Internal Auditor Regulatory Affairs Specialist Legal and Compliance Assistant

Course Overview This comprehensive course in Digital Marketing offers an in-depth exploration of the strategies that define modern online success. From brand positioning and content creation to platform-specific approaches across Facebook, Instagram, and YouTube, this guide covers every key area to help learners thrive in a fast-evolving marketing landscape. You will examine essential digital concepts such as SEO, mobile outreach, and email campaign structuring, all while gaining the strategic mindset needed to implement effective marketing solutions. By the end of this course, learners will have a strong understanding of how to structure marketing plans, reach targeted audiences through various channels, and evaluate digital performance metrics. This course is ideal for those looking to enhance their marketing knowledge, keep up with digital trends, and align themselves with career opportunities in a digitally driven economy. Course Description The course delves into the strategic core of digital marketing, equipping learners with the knowledge to understand consumer behaviour, design impactful campaigns, and master various online platforms. You will begin with the fundamentals before advancing through growth hacking techniques, customer journey mapping, and platform-specific strategies across Facebook, Instagram, Twitter, and more. Topics such as SEO, email communication, content strategy, and mobile marketing are presented with clarity, ensuring learners develop a thorough grasp of marketing logic and campaign planning. This course also explores how to build audience engagement and interpret campaign performance using reliable frameworks. Whether you're aiming to support a brand, manage digital channels, or enhance visibility through marketing strategies, this course offers a structured foundation that meets the demands of today’s digital environment. Course Modules Module 01: Fundamentals of Digital Marketing Module 02: Growth Hacking Module 03: Customer Journey Module 04: Content Marketing Module 05: SEO Module 06: E-Mail Marketing Module 07: Facebook Marketing Module 08: Instagram Marketing Module 09: Twitter Marketing Module 10: YouTube Marketing Module 11: Mobile Marketing (See full curriculum) Who is this course for? Individuals seeking to understand digital marketing strategy from the ground up. Professionals aiming to expand their expertise in multi-channel marketing. Beginners with an interest in online promotion, brand development, or digital outreach. Entrepreneurs, freelancers, and content creators wanting to enhance their marketing knowledge. Career Path Digital Marketing Executive Social Media Manager SEO Specialist Content Marketing Strategist Email Marketing Coordinator Digital Campaign Analyst Brand Engagement Consultant Online Marketing Assistant