778 Logic courses in Bristol delivered On Demand

Unlock the power of mathematics and pave the way for academic and professional success with our Functional Skills Maths Level 2 course. Designed to provide a comprehensive understanding of key mathematical concepts, this course equips learners with the essential skills needed to excel in both academic and real-world settings.

Using Ansible to automate local and cloud configuration management tasks with Playbooks

Learn how to investigate witnesses and solve crimes with our Witness Investigation course. This course is designed for professionals in law enforcement, legal, and security fields who want to understand witness psychology, evidence collection, and crime analysis. You will receive a CPD certificate, expert guidance, and year-long access. This course is ideal for those who are interested in justice and forensic psychology.

Learn maths and English skills with our Functional Skills Maths and English Level 2 course. Explore modules on integers, fractions, decimals, percentages, grammar, sentence structure, and more. Improve your mathematical thinking, confidence, and communication skills. Get a CPD certificate when you finish the course, showing your achievement. Get ready for academic and real-world success – enrol now for comprehensive and practical learning.

Master Microsoft Excel with our CPD Accredited Complete Course, covering Beginner, Intermediate & Advanced levels. Boost your skills for data analysis, financial management, and more. Ideal for students, recent graduates, job seekers, and professionals. Get recognized with a worldwide CPD certificate. Learn at your own pace with expert guidance and support. Elevate your career with Excel expertise. Enrol now!

Get up to speed with automating repetitive tasks with Python

Embark on a journey into the world of technology with Spark Generation and our Cambridge self-paced courses! Learn the fundamentals of computer science, coding languages, and algorithmic thinking. Discover the logic behind programs and explore the creative potential of digital innovation.

As an IT administrator, you will be responsible for maintaining the company's IT network, servers, security systems and other essential tasks. Enrolling in the IT Administrator Diploma will give you the opportunity to build a solid base from which to start, or further, your career in IT field. The knowledge acquired from the course will prepare you to begin a career in IT as it provides you with a comprehensive understanding of Information Technology. Description In this IT Administrator Diploma, you will learn to recognise computer components, including how to install software and establish network connectivity accurately. Keep in mind that it is hardly ever possible to undertake security issues without relevant knowledge and proper supervision. This course teaches you how to anticipate security risks as well as identify compatibility issues in a reachable way possible. Furthermore, you will also enhance your knowledge about preventative maintenance that will help you stand out from your competition when you are hunting for your desired job. There's plenty in this course to take advantage of, and it will provide you with a stimulating and insightful description of the ways in which you will confidently perform the maintenance, configuration, and reliable operation of computer systems. Entry Requirement: This course is available to all learners, of all academic backgrounds. Learners should be aged 16 or over to undertake the qualification. Good understanding of English language, numeracy and ICT are required to attend this course. Assessment: At the end of the course, you will be required to sit an online multiple-choice test. Your test will be assessed automatically and immediately so that you will instantly know whether you have been successful. Before sitting for your final exam, you will have the opportunity to test your proficiency with a mock exam. Certification: After completing and passing the course successfully, you will be able to obtain an Accredited Certificate of Achievement. Certificates can be obtained either in hard copy at a cost of £39 or in PDF format at a cost of £24. Why choose us? Affordable, engaging & high-quality e-learning study materials; Tutorial videos/materials from the industry leading experts; Study in a user-friendly, advanced online learning platform; Efficient exam systems for the assessment and instant result; The UK & internationally recognized accredited qualification; Access to course content on mobile, tablet or desktop from anywhere anytime; The benefit of career advancement opportunities; 24/7 student support via email. Career Path After completing this course you will be able to build up accurate knowledge and skills with proper confidence to enrich yourself and brighten up your career in the relevant job market. Software: What is an Operating System FREE 00:48:00 Configuring the Operating System 00:06:00 What is an Application 00:10:00 Using Control Panel 00:18:00 Software and Concepts 00:10:00 Licensing 00:06:00 Using Software 00:07:00 Software Tools 00:10:00 Software 00:14:00 Hardware, Devices, and Peripherals 00:06:00 Hardware: Hardware and Peripherals 00:07:00 Storage 00:12:00 Connectivity Devices 00:05:00 Network Components 00:09:00 Identify the Importance of Risk Management FREE 00:11:00 Assess Risk 00:13:00 Mitigate Risk 00:22:00 Integrate Documentation into Risk Management 00:14:00 Classify Threats and Threat Profiles 00:07:00 Perform Ongoing Threat Research 00:12:00 Resources that Aid in Research of Threats 00:03:00 Implement Threat Modeling 00:09:00 Assess the Impact of Reconnaissance Incidents 00:10:00 Performing Reconnaissance on a Network 00:07:00 Examining Reconnaissance Incidents 00:08:00 Assess the Impact of Social Engineering 00:10:00 Assessing the impact of Social Engineering 00:07:00 Assessing the Impact of Phishing 00:03:00 Types of Wireless Attacks 00:30:00 Intrusion Monitoring 00:08:00 Wireless Security Risks 00:22:00 Authentication Attacks 00:20:00 Rogue Devices 00:04:00 Public Hotspots 00:06:00 Wireless Security Monitoring 00:21:00 Device Tracking 00:17:00 WLAN Security Infrastructure 00:37:00 Management Protocols 00:23:00 Other RADIUS Solutions 00:15:00 Security: Introduction 00:30:00 Child Safety Online 01:00:00 Secure Payment Sites 01:00:00 Online Banking 00:30:00 How To Keep Your Password Safe 00:30:00 Common Scams 01:00:00 How I Got Pharmed 01:00:00 Virus Protection 01:00:00 Self Maintenance 00:30:00 Personal Information Online 01:00:00 Is The Internet Safe? 00:30:00 Importance of Cyber Security 00:30:00 Spyware Can Destroy 00:30:00 How Does Spyware Spread? 01:00:00 How To Remove Spyware 01:00:00 Anti Spyware Program 01:00:00 The Anti Anti-Spyware Programs 00:30:00 Research And Learn More 00:30:00 Choosing The Best Anti Spyware Tool 01:00:00 Computer Security And Spyware 01:00:00 The Programs To Avoid 00:15:00 Is It Legal? 00:30:00 Checklist Of Protection 00:15:00 The Information Security Cycle FREE 00:37:00 Information Security Controls 00:35:00 Authentication Methods 00:09:00 Cryptography Fundamentals 00:56:00 Security Policy Fundamentals 00:11:00 Social Engineering 00:31:00 Malware 00:25:00 Software-Based Threats 00:21:00 Based Threats 00:38:00 Wireless Threats and Vulnerabilities 00:43:00 Physical Threats and Vulnerabilities 00:09:00 Manage Data Security 00:47:00 Manage Application Security 00:56:00 Manage Device and Host Security 01:07:00 Manage Mobile Security 00:10:00 A Risk Analysis 00:17:00 Implement Vulnerability Assessment Tools and Techniques 00:04:00 Scan for Vulnerabilities 00:27:00 Mitigation and Deterrent Techniques 00:19:00 Respond to Security Incidents 00:23:00 Recover from a Security Incident 00:09:00 Networking: OSI Layers FREE 00:44:00 LANs and WANs 00:14:00 Network Types 00:07:00 Transmissions 00:36:00 Cables 00:41:00 Fiber Optics 00:16:00 Converters and Connectors 00:26:00 Wireless Security 00:15:00 Authentication.prproj 00:21:00 Wireless Security Threats 00:30:00 TACACS 00:10:00 Keys 00:26:00 RADIUS 00:06:00 VPN Technologies 00:16:00 Tunneling Protocols.prproj 00:05:00 Acceptable Use 00:59:00 Common Problems 00:32:00 Troubleshooting 00:27:00 Network Technician Tools 00:46:00 Physical and Logical Issues 00:19:00 Open or Closed Ports 00:09:00 ARP Issues 00:13:00 Basic IT Literacy: Core Concepts in Healthcare IT FREE 00:06:00 EMR EHR Issues 00:04:00 Regulations, Standards, and Stakeholders 00:13:00 HIPAA Controls and Compliance 00:07:00 Roles and Responsibilities 00:09:00 Manage Communication and Ethics Issues 00:15:00 Legal Best Practices, Requirements, and Documentation 00:09:00 Medical Document Imaging 00:04:00 Sanitation Management 00:02:00 Computing Essentials 00:05:00 Networking 00:32:00 Manage Servers and Software 00:27:00 Hardware Support 00:14:00 Set Up a Workstation 00:08:00 Troubleshoot Basic IT Issues 00:15:00 Troubleshoot Medical IT Issues 00:19:00 Implementation of an EMR EHR System 00:34:00 Change Control 00:07:00 Manage Physical and Logical Security 00:36:00 Implement Security Best Practices and Threat Mitigation Techniques 00:13:00 Manage Remote Access 00:06:00 Manage Wireless Security 00:14:00 Perform Backups and Disaster Recovery 00:18:00 Mock Exam Mock Exam- IT Administrator Diploma 00:30:00 Final Exam Final Exam- IT Administrator Diploma 00:30:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

Overview This comprehensive course on Python Programming: Beginner To Expert will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Python Programming: Beginner To Expert 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 Python Programming: Beginner To Expert. It is available to all students, of all academic backgrounds. Requirements Our Python Programming: Beginner To Expert 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 18 sections • 121 lectures • 15:27:00 total length •Intro To Python Section Overview: 00:05:00 •What is Python Programming: 00:10:00 •Who is This Course For: 00:05:00 •Python Programming Marketplace: 00:06:00 •Python Job Opportunities: 00:05:00 •How To Land a Python Job Without a Degree: 00:08:00 •Python Programmer Job Roles: 00:09:00 •Python from A-Z Course Structure: 00:04:00 •Getting Familiar with Python Section Overview: 00:06:00 •Installing Python on Windows: 00:10:00 •Anaconda and Jupyter Notebooks Part 1: 00:08:00 •Anaconda and Jupyter Notebooks Part 2: 00:16:00 •Comments: 00:05:00 •Python Syntax: 00:02:00 •Line Structure: 00:03:00 •Line Structure Exercise: 00:07:00 •Joining Lines: 00:05:00 •Multiple Statements on a Single Line: 00:05:00 •Indentation: 00:08:00 •Basic Data Types Section Overview: 00:08:00 •String Overview: 00:10:00 •String Manipulation: 00:07:00 •String Indexing: 00:04:00 •String Slicing: 00:08:00 •Printing: 00:10:00 •Python Variables: 00:08:00 •Integers and Floats: 00:08:00 •Booleans: 00:05:00 •Mini Project 1 : Letter Counter: 00:20:00 •Python Operators Section Overview: 00:04:00 •Comparison Operators: 00:09:00 •Arithmetic Operators: 00:08:00 •Assignment Operators: 00:04:00 •Logical Operators: 00:13:00 •Identity Operators: 00:05:00 •Membership Operators: 00:02:00 •Bitwise Operators: 00:08:00 •Python Advanced Data Types Section Overview: 00:11:00 •Sets: 00:06:00 •List Overview: 00:05:00 •List Slicing and Indexing: 00:04:00 •Tuples: 00:02:00 •When to use each one?: 00:05:00 •Compound Data Types: 00:03:00 •Dictionaries: 00:11:00 •Control Flow Part 1 Section Overview: 00:15:00 •Intro to Control Flow: 00:01:00 •Basic Conditional Statements: 00:14:00 •More Conditional Statements: 00:05:00 •For Loops: 00:10:00 •While Loops: 00:12:00 •Control Flow Part 2 Section Overview: 00:02:00 •Break Statements: 00:08:00 •Continue Statements: 00:05:00 •Zip Function: 00:07:00 •Enumerate Function: 00:04:00 •List Comprehension: 00:04:00 •Python Functions Section Overview: 00:03:00 •Intro to Functions: 00:02:00 •Python help Function: 00:03:00 •Defining Functions: 00:09:00 •Variable Scope: 00:08:00 •Doc Strings: 00:04:00 •User Input and Error Handling Section Overview: 00:02:00 •Introduction to error handling: 00:03:00 •User Input: 00:04:00 •Syntax Errors: 00:04:00 •Exceptions: 00:11:00 •Handling Exceptions Part 1: 00:08:00 •Handling Exceptions Part 2: 00:08:00 •Python Advanced Functions Section Overview: 00:05:00 •Lambda Functions: 00:05:00 •Functions args and kwargs: 00:10:00 •Iterators: 00:08:00 •Generators and Yield: 00:12:00 •Map Function: 00:14:00 •Filter Function: 00:08:00 •Python Scripting and Libraries Section Overview: 00:05:00 •What is a script: 00:01:00 •What is an IDE: 00:17:00 •What is a text editor?: 00:12:00 •From Jupyter Notebook to VScode Part 1: 00:15:00 •From Jupyter Notebook to VScode Part 2: 00:05:00 •Importing Scripts: 00:03:00 •Standard Libraries: 00:04:00 •Third Party Libraries: 00:06:00 •NumPy Section Overview: 00:04:00 •Intro to NumPy: 00:04:00 •Why use NumPy?: 00:04:00 •NumPy Arrays: 00:10:00 •Reshaping, Accessing, and Modifying: 00:07:00 •Slicing and Copying: 00:06:00 •Inserting, Appending, and Deleting: 00:10:00 •Array Logical Indexing: 00:04:00 •Broadcasting: 00:08:00 •Intro to Pandas: 00:17:00 •Pandas Series: 00:17:00 •Pandas Series Manipulation: 00:17:00 •Pandas DataFrame: 00:17:00 •Pandas DataFrame Manipulation: 00:13:00 •Dealing with Missing Values: 00:10:00 •Functional vs OOP: 00:06:00 •OOP Key Definitions: 00:04:00 •Create your First Class: 00:12:00 •How to Create and Use Objects: 00:06:00 •How to Modify Attributes: 00:12:00 •Python Decorators: 00:27:00 •Property Decorator: 00:09:00 •Class Method Decorator: 00:07:00 •Static Methods: 00:10:00 •Inheritance from A to Z: 00:21:00 •Python Career Section Overview: 00:06:00 •Getting Started with Freelancing: 00:09:00 •Building A Brand: 00:12:00 •Personal Branding: 00:13:00 •Importance of Having Website/Blog: 00:04:00 •Do's And Don'ts Of Networking: 00:06:00 •Top Freelance Websites: 00:08:00 •Creating A Python Developer Resume: 00:06:00 •Resources - Python Programming: Beginner To Expert: 00:00:00 •Assignment - Python Programming: Beginner To Expert: 00:00:00

Overview This comprehensive course on R Programming for Data Science will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This R Programming for Data Science 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 R Programming for Data Science. It is available to all students, of all academic backgrounds. Requirements Our R Programming for Data Science 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 23 sections • 129 lectures • 06:25:00 total length •Introduction to Data Science: 00:01:00 •Data Science: Career of the Future: 00:04:00 •What is Data Science?: 00:02:00 •Data Science as a Process: 00:02:00 •Data Science Toolbox: 00:03:00 •Data Science Process Explained: 00:05:00 •What's Next?: 00:01:00 •Engine and coding environment: 00:03:00 •Installing R and RStudio: 00:04:00 •RStudio: A quick tour: 00:04:00 •Arithmetic with R: 00:03:00 •Variable assignment: 00:04:00 •Basic data types in R: 00:03:00 •Creating a vector: 00:05:00 •Naming a vector: 00:04:00 •Vector selection: 00:06:00 •Selection by comparison: 00:04:00 •What's a Matrix?: 00:02:00 •Analyzing Matrices: 00:03:00 •Naming a Matrix: 00:05:00 •Adding columns and rows to a matrix: 00:06:00 •Selection of matrix elements: 00:03:00 •Arithmetic with matrices: 00:07:00 •Additional Materials: 00:00:00 •What's a Factor?: 00:02:00 •Categorical Variables and Factor Levels: 00:04:00 •Summarizing a Factor: 00:01:00 •Ordered Factors: 00:05:00 •What's a Data Frame?: 00:03:00 •Creating Data Frames: 00:20:00 •Selection of Data Frame elements: 00:03:00 •Conditional selection: 00:03:00 •Sorting a Data Frame: 00:03:00 •Additional Materials: 00:00:00 •Why would you need lists?: 00:01:00 •Creating a List: 00:06:00 •Selecting elements from a list: 00:03:00 •Adding more data to the list: 00:02:00 •Additional Materials: 00:00:00 •Equality: 00:03:00 •Greater and Less Than: 00:03:00 •Compare Vectors: 00:03:00 •Compare Matrices: 00:02:00 •Additional Materials: 00:00:00 •AND, OR, NOT Operators: 00:04:00 •Logical operators with vectors and matrices: 00:04:00 •Reverse the result: (!): 00:01:00 •Relational and Logical Operators together: 00:06:00 •Additional Materials: 00:00:00 •The IF statement: 00:04:00 •IFELSE: 00:03:00 •The ELSEIF statement: 00:05:00 •Full Exercise: 00:03:00 •Additional Materials: 00:00:00 •Write a While loop: 00:04:00 •Looping with more conditions: 00:04:00 •Break: stop the While Loop: 00:04:00 •What's a For loop?: 00:02:00 •Loop over a vector: 00:02:00 •Loop over a list: 00:03:00 •Loop over a matrix: 00:04:00 •For loop with conditionals: 00:01:00 •Using Next and Break with For loop: 00:03:00 •Additional Materials: 00:00:00 •What is a Function?: 00:02:00 •Arguments matching: 00:03:00 •Required and Optional Arguments: 00:03:00 •Nested functions: 00:02:00 •Writing own functions: 00:03:00 •Functions with no arguments: 00:02:00 •Defining default arguments in functions: 00:04:00 •Function scoping: 00:02:00 •Control flow in functions: 00:03:00 •Additional Materials: 00:00:00 •Installing R Packages: 00:01:00 •Loading R Packages: 00:04:00 •Different ways to load a package: 00:02:00 •Additional Materials: 00:00:00 •What is lapply and when is used?: 00:04:00 •Use lapply with user-defined functions: 00:03:00 •lapply and anonymous functions: 00:01:00 •Use lapply with additional arguments: 00:04:00 •Additional Materials: 00:00:00 •What is sapply?: 00:02:00 •How to use sapply: 00:02:00 •sapply with your own function: 00:02:00 •sapply with a function returning a vector: 00:02:00 •When can't sapply simplify?: 00:02:00 •What is vapply and why is it used?: 00:04:00 •Additional Materials: 00:00:00 •Mathematical functions: 00:05:00 •Data Utilities: 00:08:00 •Additional Materials: 00:00:00 •grepl & grep: 00:04:00 •Metacharacters: 00:05:00 •sub & gsub: 00:02:00 •More metacharacters: 00:04:00 •Additional Materials: 00:00:00 •Today and Now: 00:02:00 •Create and format dates: 00:06:00 •Create and format times: 00:03:00 •Calculations with Dates: 00:03:00 •Calculations with Times: 00:07:00 •Additional Materials: 00:00:00 •Get and set current directory: 00:04:00 •Get data from the web: 00:04:00 •Loading flat files: 00:03:00 •Loading Excel files: 00:05:00 •Additional Materials: 00:00:00 •Base plotting system: 00:03:00 •Base plots: Histograms: 00:03:00 •Base plots: Scatterplots: 00:05:00 •Base plots: Regression Line: 00:03:00 •Base plots: Boxplot: 00:03:00 •Introduction to dplyr package: 00:04:00 •Using the pipe operator (%>%): 00:02:00 •Columns component: select(): 00:05:00 •Columns component: rename() and rename_with(): 00:02:00 •Columns component: mutate(): 00:02:00 •Columns component: relocate(): 00:02:00 •Rows component: filter(): 00:01:00 •Rows component: slice(): 00:04:00 •Rows component: arrange(): 00:01:00 •Rows component: rowwise(): 00:02:00 •Grouping of rows: summarise(): 00:03:00 •Grouping of rows: across(): 00:02:00 •COVID-19 Analysis Task: 00:08:00 •Additional Materials: 00:00:00 •Assignment - R Programming for Data Science: 00:00:00