3987 Analyst courses in Chippenham delivered Online

CompTIA Security+ Certification is one of our best selling and most popular course. The CompTIA Security+ Certification is organised into 10 modules and includes everything you need to become successful in this profession. To make this course more accessible for you, we have designed it for both part-time and full-time students. You can study at your own pace or become an expert in just 17 hours! If you require support, our experienced tutors are always available to help you throughout the comprehensive syllabus of this course and answer all your queries through email. Why choose this course Earn an e-certificate upon successful completion. Accessible, informative modules taught by expert instructors Study in your own time, at your own pace, through your computer tablet or mobile device Benefit from instant feedback through mock exams and multiple-choice assessments Get 24/7 help or advice from our email and live chat teams Full Tutor Support on Weekdays Course Design The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace. You are taught through a combination of Video lessons Online study materials Mock exams Multiple-choice assessment Certification After the successful completion of the final assessment, you will receive a CPD-accredited certificate of achievement. The PDF certificate is for £9.99, and it will be sent to you immediately after through e-mail. You can get the hard copy for £15.99, which will reach your doorsteps by post. Who Is This Course For? This course is ideal for IT professionals, network administrators, and cybersecurity beginners seeking a foundational security certification. It’s also suitable for help desk technicians, system admins, and military personnel transitioning into cybersecurity roles. No prior security experience is required, but basic IT knowledge (e.g., CompTIA Network+) is beneficial. Career Path Cybersecurity Analyst – £35,000 - £55,000 Network Security Engineer – £40,000 - £70,000 Security Consultant – £45,000 - £80,000 IT Auditor – £40,000 - £65,000 Systems Administrator (Security Focus) – £30,000 - £60,000

Register on the Data Analytics with Tableau today and build the experience, skills and knowledge you need to enhance your development and work towards your dream job. Study this course through online learning and take the first steps towards a long-term career. The course consists of a number of easy to digest, in-depth modules, designed to provide you with a detailed, expert level of knowledge. Learn through a mixture of instructional video lessons and online study materials. Receive online tutor support as you study the course, to ensure you are supported every step of the way. Get a digital certificate as a proof of your course completion. The Data Analytics with Tableau course is incredibly great value and allows you to study at your own pace. Access the course modules from any internet-enabled device, including computers, tablet, and smartphones. The course is designed to increase your employability and equip you with everything you need to be a success. Enrol on the now and start learning instantly! What You Get With The Data Analytics with Tableau Course Receive a e-certificate upon successful completion of the course Get taught by experienced, expert instructors Study at a time and pace that suits your learning style 24/7 help and advice via email or live chat Get full tutor support on weekdays (Monday to Friday) Course Design The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace. You are taught through a combination of Video lessons Online study materials Certificate of Achievement Endorsed Certificate of Achievement from the Quality Licence Scheme Once the course has been completed and the assessment has been passed, all students are entitled to receive an endorsed certificate. This will provide proof that you have completed your training objectives, and each endorsed certificate can be ordered and delivered to your address for only £109.00. Please note that overseas students may be charged an additional £10 for postage. CPD Certificate of Achievement from Janets Upon successful completion of the course, you will be able to obtain your course completion e-certificate free of cost. Print copy by post is also available at an additional cost of £9.99 and PDF Certificate at £4.99. Endorsement This course and/or training programme has been endorsed by the Quality Licence Scheme for its high-quality, non-regulated provision and training programmes. This course and/or training programme is not regulated by Ofqual and is not an accredited qualification. Your training provider will be able to advise you on any further recognition, for example progression routes into further and/or higher education. For further information please visit the Learner FAQs on the Quality Licence Scheme website. Method of Assessment In order to ensure the Quality Licensing scheme endorsed and CPD acknowledged certificate, learners need to score at least 60% pass marks on the assessment process. After submitting assignments, our expert tutors will evaluate the assignments and give feedback based on the performance. After passing the assessment, one can apply for a certificate. Who Is This Course For: The course is ideal for those who already work in this sector or are an aspiring expert. This course is designed to enhance your expertise and boost your CV. Learn key skills and gain an expert lesson to prove your newly-acquired knowledge. Requirements: The online training is open to all students and has no formal entry requirements. To study the Data Analytics with Tableau course, all your need is a passion for learning, a good understanding of English, numeracy, and IT skills. You must also be over the age of 16. Course Content Module 01: Introduction to the Course Introduction to the Course 00:02:00 What is Tableau?An Introduction to Tableau 00:03:00 How this course is Structured 00:01:00 Installing the Free Full Version of Tableau 00:02:00 Module 02: Project 1: Discount Mart (Sales and Profit Analytics) Project Brief for Discount Mart 00:03:00 Connecting and Preparing Data for Discount Mart 00:15:00 Building Charts on Tableau for Discount Mart (Part 1) 00:33:00 Building Charts on Tableau for Discount Mart (Part 2) 00:16:00 Creating Headline Cards on Tableau for Discount Mart 00:10:00 Building and Publishing Dashboards on Tableau 00:15:00 Module 03: Project 2: Green Destinations (HR Analytics) Project Brief for Green Destinations 00:02:00 Connecting and Preparing Data for Green Destinations 00:09:00 Building Charts on Tableau (Part 1) for Green Destinations 00:28:00 Building Charts on Tableau (Part 2) for Green Destinations 00:08:00 Creating Headline Cards on Tableau 00:15:00 Building a Dashboard for Green Destinations 00:12:00 Publish your Dashboard to Tableau Public 00:02:00 Module 04: Project 3: Superstore (Sales Agent Tracker) Project Brief for Super Store 00:02:00 Connecting and Preparing Data for Super Store 00:17:00 Building Charts on Tableau (Part 1) for Super Store 00:34:00 Building Charts on Tableau (Part 2) for Super Store 00:23:00 Building a Dashboard 00:18:00 Publish your Dashboard to Tableau Public 00:03:00 Module 05: Northwind Trade (Shipping Analytics) Project Brief for Northwind Trade 00:03:00 Connecting and Preparing Data for Northwind Trade 00:14:00 Building Charts on Tableau for Northwind Trade 00:37:00 Building and Publishing Dashboards for Northwind Trade 00:10:00 Module 06: Project 5: Tesla (Stock Price Analytics) Project Brief for Tesla 00:02:00 Creating a Data Source through Google Sheet Functions 00:05:00 Connect to the Data for Tesla 00:04:00 Building Charts on Tableau for Tesla 00:22:00 Building Headline Cards 00:09:00 Building a Tesla Dashboard 00:08:00 Publish your Dashboard to Tableau Public 00:03:00 Module 07: Bonus: Introduction to Database Concepts Introduction to Database Concepts 00:01:00 Understanding Relational Databases 00:04:00 Relationships of Database Entities 00:02:00 Primary and Foreign Keys 00:01:00 Data types and Naming Conventions 00:04:00 Module 08: Tableau Stories Creating Stories on Tableau 00:05:00 Resources Resources - Introduction to Data Analytics with Tableau 00:00:00 Assignment Assignment - Data Analytics With Tableau 3 weeks, 3 days Order Your Certificate Order your Certificate QLS 00:00:00 Frequently Asked Questions Are there any prerequisites for taking the course? There are no specific prerequisites for this course, nor are there any formal entry requirements. All you need is an internet connection, a good understanding of English and a passion for learning for this course. Can I access the course at any time, or is there a set schedule? You have the flexibility to access the course at any time that suits your schedule. Our courses are self-paced, allowing you to study at your own pace and convenience. How long will I have access to the course? For this course, you will have access to the course materials for 1 year only. This means you can review the content as often as you like within the year, even after you've completed the course. However, if you buy Lifetime Access for the course, you will be able to access the course for a lifetime. Is there a certificate of completion provided after completing the course? Yes, upon successfully completing the course, you will receive a certificate of completion. This certificate can be a valuable addition to your professional portfolio and can be shared on your various social networks. Can I switch courses or get a refund if I'm not satisfied with the course? We want you to have a positive learning experience. If you're not satisfied with the course, you can request a course transfer or refund within 14 days of the initial purchase. How do I track my progress in the course? Our platform provides tracking tools and progress indicators for each course. You can monitor your progress, completed lessons, and assessments through your learner dashboard for the course. What if I have technical issues or difficulties with the course? If you encounter technical issues or content-related difficulties with the course, our support team is available to assist you. You can reach out to them for prompt resolution.

Business Relationship Management Fundamentals: On-Demand Business Relationship Management (BRM) Fundamentals introduces BRM as a capability, role, and discipline. Participants can expect an interactive and lively one-day session, with a high-level introduction to successfully navigate the complexity of BRM. What you will Learn During this course, we will show you how to: Define BRM as a capability, role, and discipline Describe what a BRM does and does not do Provide the language needed to change perceptions and perspectives Learn how the BRM discipline interacts with other disciplines (project management, architecture, Business Analysts, Business functions, strategy, etc..) inside an organization Explain the basic introduction to the different frameworks, processes, and models to bring structure and guidance to BRM Introductions and Expectations Business Relationship Management Institute Knowledge path to success Business Relationship Management (BRM) Defined BRM DNA = Develop, Nurture, and Advance BRM as a capability, role, and discipline Why BRM BRM is the answer to converging functions as strategic partners sharing ownership of strategy and results BRM evolves enterprise culture BRM capability builds strategic partnerships and drives business value BRM in Action Evolving enterprise culture Building strategic partnerships Driving business value BRM Results Relationships Business value BRM artifacts Communications Summary Reasons BRM fails Certificate of Experience: BRM Fundamentals What is next?

Learning Outcomes After completing this course, learners will be able to: Learn Python for data analysis using NumPy and Pandas Acquire a clear understanding of data visualisation using Matplotlib, Seaborn and Pandas Deepen your knowledge of Python for interactive and geographical potting using Plotly and Cufflinks Understand Python for data science and machine learning Get acquainted with Recommender Systems with Python Enhance your understanding of Python for Natural Language Processing (NLP) Description Whether you are from an engineering background or not you still can efficiently work in the field of data science and the machine learning sector, if you have proficient knowledge of Python. Since Python is the easiest and most used programming language, you can start learning this language now to advance your career with the Data Science And Machine Learning Using Python : A Bootcamp course. This course will give you a thorough understanding of the Python programming language. Moreover, it will show how can you use Python for data analysis and machine learning. Alongside that, from this course, you will get to learn data visualisation, and interactive and geographical plotting by using Python. The course will also provide detailed information on Python for data analysis, Natural Language Processing (NLP) and much more. Upon successful completion of this course, get a CPD- certificate of achievement which will enhance your resume and career. Certificate of Achievement After the successful completion of the final assessment, you will receive a CPD-accredited certificate of achievement. The PDF certificate is for 9.99, and it will be sent to you immediately after through e-mail. You can get the hard copy for 15.99, which will reach your doorsteps by post.  Method of Assessment After completing this course, you will be provided with some assessment questions. To pass that assessment, you need to score at least 60%. Our experts will check your assessment and give you feedback accordingly. Career Path After completing this course, you can explore various career options such as Web Developer Software Engineer Data Scientist Machine Learning Engineer Data Analyst In the UK professionals usually get a salary of £25,000 - £30,000 per annum for these positions. Course Content 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 Machine Learning using Python : A Bootcamp 00:00:00 Order your Certificates & Transcripts Order your Certificates & Transcripts 00:00:00 Frequently Asked Questions Are there any prerequisites for taking the course? There are no specific prerequisites for this course, nor are there any formal entry requirements. All you need is an internet connection, a good understanding of English and a passion for learning for this course. Can I access the course at any time, or is there a set schedule? You have the flexibility to access the course at any time that suits your schedule. Our courses are self-paced, allowing you to study at your own pace and convenience. How long will I have access to the course? For this course, you will have access to the course materials for 1 year only. This means you can review the content as often as you like within the year, even after you've completed the course. However, if you buy Lifetime Access for the course, you will be able to access the course for a lifetime. Is there a certificate of completion provided after completing the course? Yes, upon successfully completing the course, you will receive a certificate of completion. This certificate can be a valuable addition to your professional portfolio and can be shared on your various social networks. Can I switch courses or get a refund if I'm not satisfied with the course? We want you to have a positive learning experience. If you're not satisfied with the course, you can request a course transfer or refund within 14 days of the initial purchase. How do I track my progress in the course? Our platform provides tracking tools and progress indicators for each course. You can monitor your progress, completed lessons, and assessments through your learner dashboard for the course. What if I have technical issues or difficulties with the course? If you encounter technical issues or content-related difficulties with the course, our support team is available to assist you. You can reach out to them for prompt resolution.

Dive into the world of organic chemistry with the Complete Organic Chemistry Demystified course. This course will provide you with an overall idea of organic chemistry. Within no time, you will be able to build a solid foundation in this area. Through this Complete Organic Chemistry Demystified course, you will learn how to draw organic molecules. The informative modules will educate you on acid-base reactions. You will develop an in-depth understanding of geometry, nomenclature, conformations and more. In addition, you will receive detailed lessons on substitute reactions and elimination reactions. This course will also educate you on synthetic techniques. This Complete Organic Chemistry Demystified course is the perfect place to explore different aspects of organic chemistry. If you aspire to pursue a career in the relevant fields, this course is the ideal training ground for you. Enrol now! Learning Objectives Get introduced to the basic steps of drawing organic molecules Enrich your knowledge of acid-base relations Learn the principles of geometry and nomenclature Develop a clear understanding of conformations Deepen your understanding of substitute reactions and elimination reactionsGain in-depth knowledge of synthetic techniques Who is this Course for? This Complete Organic Chemistry Demystified course is ideal for aspiring professionals or those who wish to gain the relevant skills and knowledge to fast track their careers. It is for those who have little or no knowledge of the principles of organic chemistry or those who are new to the field and want to test their skills and knowledge. There are no entry requirements for this course; however, an eye for detail and a creative mind is essential. Entry Requirement This course is available to all learners of all academic backgrounds. A good understanding of the English language, numeracy, and ICT are required to attend this course. CPD Certificate from Course Gate At the successful completion of the course, you can obtain your CPD certificate from us. You can order the PDF certificate for £4.99 and the hard copy for £9.99. Also, you can order both PDF and hardcopy certificates for £12.99. Career path Upon successfully completing the Complete Organic Chemistry Demystified course, learners can progress to a more advanced program from our course list. Career opportunities in this field include freelancing or working in-house, within a range of professional settings, with the opportunity to earn a high salary. Related professions in this industry include: Chemistry teacher Food scientist Forensic analyst Environmental scientist Materials scientist Analytical chemist Pharmacologist Course Curriculum Module 01: About the Course Introduction 00:02:00 Module 02: Drawing Organic Molecules How to read bond-line drawings 00:18:00 How to draw bond-line drawings 00:18:00 Identifying formal charges 00:22:00 Finding lone pairs that are not drawn 00:23:00 Module 03: Resonance What is resonance? 00:05:00 Drawing resonance structures (part 1) 00:40:00 Formal charges in resonance structures 00:19:00 Drawing resonance structures (part 2) 00:25:00 Recognizing patterns 00:30:00 The relative importance of resonance structures 00:19:00 Module 04: Acid-Base Reactions Introduction to acid - base 00:03:00 Charged atoms 00:08:00 Resonance 00:11:00 Induction 00:09:00 Orbitals 00:03:00 Charged atoms - Resonance - Induction - Orbitals 00:07:00 Showing an acid-base mechanism 00:14:00 Acid-Base equilibrium position 00:06:00 Module 05: Geometry Orbitals 00:15:00 Goemetry of orbitals 00:15:00 Impact of resonance on geometry 00:01:00 Module 06: Nomenclature Introduction to nomenclature 00:03:00 Functional group 00:07:00 Unsaturation 00:04:00 Parent 00:09:00 Substituents 00:10:00 'cis' - 'trans' stereoisomerism 00:04:00 'E' - 'Z' stereoisomerism 00:04:00 Localizing substituents in parent chain 00:12:00 From structure to name 00:20:00 Module 07: Conformations Introduction to conformations 00:02:00 Newman projection 00:10:00 Relative stability of Newman projections 00:08:00 Drawing chair conformations 00:02:00 Drawing substituents in chair conformations 00:11:00 Ring flipping 00:10:00 Comparing stability of chair conformations 00:10:00 Module 08: Configurations Introduction to configurations 00:01:00 Locating stereocenters 00:04:00 Determining the configuration of a stereocenter 00:18:00 Nomenclature 00:12:00 Enantiomers 00:08:00 Diastereomers 00:05:00 Meso compounds 00:04:00 Fischer projections 00:11:00 Module 09: Mechanisms Introduction to mechanisms 00:02:00 Nucleophiles and electrophiles 00:09:00 Arrows used for mechanisms 00:14:00 Carbocation 00:15:00 Module 10: Substitution Reactions SN1 SN2 mechanisms 00:10:00 Factor #1: the electrophile 00:06:00 Factor #2: the nucleophile 00:04:00 Factor #3: the leaving group 00:05:00 Factor #4: the solvent 00:05:00 Combining all 4 factors 00:09:00 Module 11: Elimination Reactions Introduction to elimination reactions 00:02:00 E1 mechanism 00:08:00 E2 mechanism 00:20:00 Module 12: Substitution vs Elimination Introduction to substitution vs elimination 00:03:00 Determining the function of the reagent 00:04:00 Identifying the mechanism(s) 00:11:00 Predicting regiochemical and stereochemical outcomes 00:16:00 Module 13: Addition Reactions Introduction to addition reactions 00:01:00 Regiochemistry 00:05:00 Stereochemistry 00:18:00 Hydrogenation: adding H-H 00:07:00 Hydrohalogenation: adding hydrogen halide, H-X 00:09:00 Hydrobromination : adding H-Br 00:09:00 Hydration: adding H-OH 00:12:00 Adding Br and Br 00:05:00 Halohydrin formation: adding Br and OH 00:08:00 'Anti' dihydroxylation: adding OH and OH 00:07:00 'syn' dihydroxylation : adding OH and OH 00:04:00 Ozonolysis 00:03:00 Reactions summary 00:01:00 Module 14: Synthesis Techniques One-step synthesis 00:03:00 Combining reactions: changing the position of a leaving group 00:03:00 Combining reactions: changing the position of a double bond 00:02:00 Combining reactions: introducing functionality 00:03:00 Module 15: Wrapping Up and Bonus Thank you for enrolling and announcing part 2 00:01:00 Certificate and Transcript Order Your Certificates or Transcripts 00:00:00

Course Overview This all-inclusive Mechanic Training – Car & Bike Maintenance course bundle is designed for those looking to build a strong foundation in vehicle servicing, maintenance, and diagnostics. Covering both two-wheelers and four-wheelers, this programme equips learners with essential knowledge across mechanical systems, fault detection, and routine upkeep. Whether you're looking to understand how engines operate, explore electrical and hybrid systems, or develop expertise in both traditional and modern vehicles, this training provides a diverse skill set tailored for today’s automotive industry. Upon completion, learners will have the theoretical knowledge to approach mechanical challenges confidently and pursue opportunities in various vehicle maintenance settings. With a structured curriculum and recognised certification, this course opens the door to a range of motor industry roles across garages, dealerships, and service centres. Course Description This comprehensive training package combines eight specialist courses that cover vital areas of automotive engineering and vehicle maintenance. Learners will explore key concepts in car and motorbike servicing, mechanical engineering, MET work, onboard diagnostics, and hybrid vehicle systems. The course also delves into bicycle maintenance and two-wheeler servicing to ensure a well-rounded understanding of all vehicle types. Each module is structured to guide learners through essential maintenance processes, diagnostic techniques, and component assessments. The learning experience is enriched with clear explanations, technical insights, and job-relevant scenarios. Whether preparing for a career in vehicle maintenance or aiming to broaden your automotive knowledge, this bundle offers a flexible and accessible route to developing industry-relevant skills. Learners will gain confidence in understanding engine systems, suspension setups, braking mechanisms, and electrical components essential for today’s automotive sector. Course Modules Module 01: Mechanical Engineering Module 02: Car Mechanic Training Module 03: Motorbike Maintenance Module 04: Bicycle Maintenance Course Module 05: Automotive Engineering: Onboard Diagnostics Module 06: MET Technician Module 07: Hybrid Vehicle Expert Training Module 08: Certificate Course In Two Wheeler Servicing (See full curriculum) Who is this course for? Individuals seeking to develop technical knowledge in vehicle maintenance. Professionals aiming to expand into multi-vehicle service roles. Beginners with an interest in automotive engineering or vehicle repair. Career changers looking to enter the motor industry. Career Path Car Mechanic Motorbike Technician MET Technician Diagnostic Specialist Hybrid Vehicle Specialist Bicycle Technician Automotive Service Advisor Vehicle Systems Analyst

Embarking on the CompTIA Security+ course is akin to unlocking a treasure trove of cybersecurity knowledge. Imagine standing at the forefront of digital security, equipped with the latest tools and techniques to safeguard information systems. This course, meticulously designed with fourteen comprehensive sections, offers an immersive journey from the basics of risk management to the complexities of securing dedicated systems. The curriculum is tailored to blend theoretical knowledge with real-world applications, ensuring learners grasp the essence of cybersecurity in today's technology-driven world. Whether it's understanding the nuances of cryptography or mastering the art of incident response, CompTIA Security+ is your gateway to becoming a cybersecurity connoisseur. Delving into this course, you'll navigate through a landscape where every section is a stepping stone to mastering security competencies.  The course begins with an introduction to the fundamental principles of cybersecurity, setting the stage for more advanced topics like identity and account management, and securing wireless LANs. Each section is a meticulously crafted module, aimed at building a robust understanding of both the threats and the defenses in the cyber world. By the time you reach the final sections on secure protocols, applications, and testing infrastructure, you will have developed a holistic view of network security, ready to apply your knowledge in a variety of real-world scenarios. CompTIA Security+ is not just a course; it's a journey through the dynamic landscape of network security. As you progress from one section to another, you'll not only learn about securing individual systems and public servers but also about the importance of physical security in protecting digital assets. This course is a blend of theory and practicality, providing an in-depth understanding of the latest security tools and techniques. It's an opportunity to transform yourself into a sought-after professional in the cybersecurity domain, equipped with the knowledge to protect and defend against the ever-evolving cyber threats. Learning Outcomes Develop a comprehensive understanding of risk management strategies and their application in cybersecurity. Acquire proficiency in various cryptographic methods and their importance in securing data. Gain insights into effective identity and account management to enhance system security. Learn to utilize essential security tools for safeguarding individual and network systems. Master the skills to implement and manage security measures for both wired and wireless networks. Why buy this CompTIA Security+? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the 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. Unlock career resources for CV improvement, interview readiness, and job success. Certification After studying the course materials of the CompTIA Security+ 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 course for? Individuals aiming to start a career in cybersecurity. IT professionals seeking to deepen their knowledge in network security. System administrators wanting to enhance their security skills. Students interested in acquiring a foundational understanding of cybersecurity principles. Professionals aiming to achieve the CompTIA Security+ certification for career advancement. Prerequisites This CompTIA Security+ does not require you to have any prior qualifications or experience. You can just enrol and start learning.This CompTIA Security+ 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 Cybersecurity Analyst: £30,000 - £60,000 annually Information Security Manager: £40,000 - £75,000 annually Network Security Engineer: £35,000 - £65,000 annually Security Consultant: £35,000 - £70,000 annually Systems Administrator (with security specialization): £25,000 - £50,000 annually IT Security Coordinator: £28,000 - £55,000 annually Course Curriculum Section 01: Introduction Introduction to CompTIA Security+ SY0-601 00:03:00 About the CompTIA Security+ SY0-601 Exam 00:03:00 Section 02: Risk Management Defining Risk 00:08:00 Threats and Vulnerabilities 00:07:00 Threat Intelligence 00:11:00 Risk Management Concepts 00:07:00 Security Controls 00:09:00 Risk Assessments and Treatments 00:06:00 Quantitative Risk Assessments 00:07:00 Qualitative Risk Assessments 00:04:00 Business Impact Analysis 00:05:00 Data Types and Roles 00:11:00 Security and the Information Life Cycle 00:09:00 Data Destruction 00:06:00 Personnel Risk and Policies 00:10:00 Third-Party Risk Management 00:09:00 Agreement Types 00:07:00 Exam Question Review 00:02:00 Wiping Disks with the dd Command Lab 00:06:00 Ask Me Anything (AMA) 00:02:00 Section 03: Cryptography Cryptography Basics 00:16:00 Data Protection 00:09:00 Cryptographic Methods 00:07:00 Symmetric Cryptosystems 00:13:00 Symmetric Block Modes 00:08:00 Asymmetric Cryptosystems 00:13:00 Diffie-Hellman 00:07:00 Hashing 00:09:00 Understanding Digital Certificates 00:08:00 Trust Models 00:05:00 Public Key Infrastructure 00:04:00 Certificate Types 00:14:00 Touring Certificates 00:09:00 Cryptographic Attacks 00:05:00 Password Cracking 00:10:00 Password Cracking Demo 00:06:00 Exam Question Review 00:02:00 SSH Public Key Authentication Lab 00:09:00 Ask Me Anything (AMA) 00:02:00 Section 04: Identity and Account Management Identification, Authentication, and Authorization 00:08:00 Enabling Multifactor Authentication 00:05:00 Authorization 00:05:00 Accounting 00:05:00 Authentication Methods 00:14:00 Access Control Schemes 00:07:00 Account Management 00:13:00 Network Authentication 00:09:00 Identity Management Systems 00:06:00 Exam Question Review 00:02:00 Creating LInux Users and Groups Lab 00:06:00 Ask Me Anything (AMA) 00:01:00 Section 05: Tools of the Trade Touring the CLI 00:16:00 Shells 00:06:00 The Windows Command Line 00:05:00 Microsoft PowerShell 00:13:00 Linux Shells 00:12:00 Python Scripts 00:06:00 Windows Command-Line Tools 00:16:00 Linux Command-Line Tools 00:10:00 Network Scanners 00:05:00 Network Scanning with Nmap 00:09:00 Network Protocol Analyzers 00:08:00 Using Wireshark to Analyze Network Traffic 00:09:00 Using tcpdump to Analyze Network Traffic 00:08:00 Log Files 00:09:00 Centralized Logging 00:09:00 Configuring Linux Log Forwarding 00:08:00 Exam Question Review 00:03:00 Lunux Shell Script Lab 00:07:00 Nmap Lab 00:05:00 Ask Me Anything (AMA) 00:02:00 Section 06: Securing Individual Systems Malware 00:14:00 Weak Configurations 00:12:00 Common Attacks 00:09:00 Driver and Overflow Attacks 00:08:00 Password Attacks 00:08:00 Bots and Botnets 00:06:00 Disk RAID Levels 00:10:00 Securing Hardware 00:11:00 Securing Endpoints 00:09:00 Exam Question Review 00:02:00 Linux Software RAID Lab 00:08:00 Ask Me Anything (AMA) 00:02:00 Section 07: The Basic LAN The OSI Model 00:13:00 ARP Cache Poisoning 00:09:00 Other Layer 2 Attacks 00:05:00 Network Planning 00:07:00 Load Balancing 00:06:00 Securing Network Access 00:06:00 Honeypots 00:06:00 Firewalls 00:08:00 Proxy Servers 00:06:00 Network and Port Address Translation 00:07:00 IP Security (IPsec) 00:09:00 Virtual Private Networks (VPNs) 00:10:00 Intrusion Detection and Prevention Systems (IDS/IPS) 00:13:00 Exam Question Review 00:03:00 Linux Snort IDS Lab 00:07:00 Ask Me Anything (AMA) 00:01:00 Section 08: Securing Wireless LANs Wi-Fi Encryption Standards 00:10:00 RFID, NFC, and Bluetooth 00:07:00 Wi-Fi Coverage and Performance 00:08:00 Wi-Fi Discovery and Attacks 00:12:00 Cracking WPA2 00:10:00 Wi-Fi Hardening 00:11:00 Exam Question Review 00:02:00 WPA2 Cracking Lab 00:06:00 Ask Me Anything (AMA) 00:01:00 Section 09: Securing Public Servers Defining a Public Server 00:01:00 Common Attacks and Mitigations 00:10:00 Containers and Software-Defined Networking 00:11:00 Hypervisors and Virtual Machines 00:08:00 Cloud Deployment Models 00:09:00 Cloud Service Models 00:08:00 Securing the Cloud 00:10:00 Exam Question Review 00:02:00 Docker Container Lab 00:04:00 Ask Me Anything (AMA) 00:02:00 Section 10: Securing Dedicated Systems Embedded Systems 00:13:00 Industrial Control System (ICS) 00:07:00 Internet of Things (IoT) Devices 00:10:00 Connecting to Dedicated and Mobile Systems 00:11:00 Security Constraints for Dedicated Systems 00:05:00 Mobile Device Deployment and Hardening 00:11:00 Exam Question Review 00:03:00 Smartphone Hardening Lab 00:03:00 Ask Me Anything (AMA) 00:02:00 Section 11: Physical Security Physical Security Overview 00:01:00 Physical Security 00:10:00 Keylogger Demo 00:05:00 Environmental Controls 00:05:00 Exam Question Review 00:02:00 Physical Security Lab 00:03:00 Ask Me Anything (AMA) 00:03:00 Section 12: Secure Protocols and Applications DNS Security 00:05:00 FTP Packet Capture 00:03:00 Secure Web and E-mail 00:12:00 Request Forgery Attacks 00:05:00 Cross-Site Scripting Attacks 00:07:00 Web Application Security 00:08:00 Web App Vulnerability Scanning 00:06:00 Exam Question Review 00:03:00 OWASP ZAP Web App Scan Lab 00:04:00 Ask Me Anything (AMA) 00:02:00 Section 13: Testing Infrastructure Testing Infrastructure Overview 00:05:00 Social Engineering 00:06:00 Social Engineering Attacks 00:11:00 Vulnerability Assessments 00:09:00 Penetration Testing 00:10:00 Security Assessment Tools 00:12:00 The Metasploit Framework 00:08:00 Exam Question Review 00:02:00 Hping3 Forged Packet Lab 00:06:00 Ask Me Anything (AMA) 00:02:00 Section 14: Dealing with Incidents Incident Response Overview 00:03:00 Incident Response Plans (IRPs) 00:06:00 Threat Analysis and Mitigating Actions 00:08:00 Digital Forensics 00:10:00 Gathering Digital Evidence 00:10:00 Business Continuity and Alternate Sites 00:06:00 Data Backup 00:10:00 Exam Question Review 00:01:00 Autopsy Forensic Browser Lab 00:05:00 Ask Me Anything (AMA) 00:02:00 Assignment Assignment - CompTIA Security+ 00:00:00

Course Overview Cyber Security Awareness Training is designed to equip learners with the essential knowledge to identify, manage, and reduce cyber risks in both personal and professional environments. This course provides a comprehensive understanding of the ever-evolving landscape of cyber threats and the proactive steps necessary to mitigate them. Through clear, accessible content, learners will explore key areas such as cyber attacks, password management, data breaches, and safe internet practices. By the end of the programme, participants will be able to recognise potential cyber threats, protect sensitive information, and contribute to creating a more secure digital environment. Whether for personal confidence or professional enhancement, this course offers crucial insights to stay safe in today’s technology-driven world. It is suitable for individuals at all levels, ensuring a solid foundation for developing cyber security awareness and resilience against emerging digital risks. Course Description This Cyber Security Awareness Training course delves deeper into the principles of protecting information and systems from cyber threats. Learners will explore common cyber attacks, cybercrimes, and the consequences of data breaches, alongside strategies for strengthening password security and practising safe internet browsing. The training also covers essential topics such as securing remote work environments, managing devices securely, and applying preventative measures to mitigate risks. Throughout the course, participants will engage with structured, easy-to-understand materials designed to build their confidence and competence in cyber security awareness. Learners will gain the ability to assess potential vulnerabilities, adopt safer digital habits, and contribute to wider organisational security initiatives. Delivered in a flexible, accessible format, the course is structured to support learners in developing critical thinking around cyber security issues while enhancing their ability to respond effectively to real-world digital threats. Course Modules Module 01: Introduction to Cyber Security Module 02: Cyber Attacks Module 03: Cybercrimes Module 04: Cyber Security and Data Breaches Module 05: Password Management Module 06: Internet Browsing Module 07: Office and Remote Work Security Module 08: Device Management Module 09: Preventative Measures (See full curriculum) Who is this course for? Individuals seeking to enhance their understanding of cyber threats and secure their digital presence. Professionals aiming to strengthen workplace cyber security practices. Beginners with an interest in cyber security, information security, or technology sectors. Employees required to complete cyber security awareness as part of corporate compliance programmes. Small business owners wishing to protect their business operations and client data. Career Path Cyber Security Assistant IT Support Analyst Security Awareness Coordinator Risk and Compliance Assistant Data Protection Officer Network Security Administrator Information Security Officer Technical Support Specialist Digital Operations Executive

Course Overview The GDPR Certificate course provides an essential foundation for understanding the General Data Protection Regulation (GDPR) and its implications for businesses and individuals. This course offers a comprehensive guide to GDPR principles, legal obligations, and the responsibilities of data controllers and processors. Learners will develop a strong grasp of compliance strategies, risk management practices, and data subject rights. By completing this course, individuals will gain the knowledge needed to support GDPR compliance within organisations, enhancing both personal expertise and professional credibility. The course is designed to be accessible and engaging, making it ideal for those entering data protection roles, as well as professionals seeking to update their knowledge. Upon successful completion, learners will be better equipped to contribute to organisational governance, reduce compliance risks, and promote ethical data handling practices across various industries. Course Description This GDPR Certificate course delves deeply into the key areas of General Data Protection Regulation, offering a structured exploration of its background, core principles, and practical application. Learners will study topics such as lawful bases for processing, data subject rights, breach management, and the roles of the Information Commissioner's Office (ICO). The course also covers organisational responsibilities including data protection impact assessments (DPIAs) and record-keeping requirements. Designed to provide a professional and comprehensive learning experience, this course builds analytical skills and regulatory awareness, preparing individuals to address GDPR obligations confidently. Through detailed explanations and real-world scenarios, learners will develop the ability to interpret legislation, support compliance strategies, and foster a culture of data protection within their workplace. The course is well-suited for a wide range of learners, from complete beginners to professionals needing formalised GDPR training to enhance their career prospects. Course Modules Module 01: Introduction to GDPR Module 02: Key Terms and Definitions Module 03: Principles of Data Processing Module 04: Rights of Data Subjects Module 05: Lawful Bases for Data Processing Module 06: Roles and Responsibilities of Data Controllers and Processors Module 07: Data Protection Impact Assessments (DPIAs) Module 08: Data Breach Management and Notification Module 09: Accountability and Record Keeping Module 10: Enforcement, Penalties, and the Role of the ICO (See full curriculum) Who is this course for? Individuals seeking to understand and apply GDPR principles. Professionals aiming to ensure their organisation’s data compliance. Beginners with an interest in data protection and privacy regulations. Compliance officers, administrators, or managers looking to enhance regulatory knowledge. Business owners wishing to safeguard organisational data practices. Career Path Data Protection Officer (DPO) GDPR Compliance Specialist Information Governance Officer Legal and Compliance Consultant Risk and Compliance Analyst Data Privacy Advisor Administrative roles requiring data protection expertise

Course Overview Forensic Science offers a fascinating exploration into the scientific methods and psychological insights used within criminal investigations. This course introduces learners to the essential theories, techniques, and applications that define forensic practice today. By combining elements of forensic psychology and investigative research, learners will develop an understanding of how criminal behaviour is analysed and interpreted. The course provides practical value by equipping participants with knowledge that is highly relevant to careers in criminal justice, law enforcement, and psychological assessment. Upon completion, learners will have gained the ability to critically assess criminal behaviour, contribute to investigative processes, and understand the psychological mechanisms underpinning criminal acts. Whether pursuing a career in forensic science or simply seeking to expand knowledge in this compelling field, participants will finish the course with strengthened analytical skills, enhanced professional insight, and a robust foundation in forensic applications. Course Description This comprehensive Forensic Science course delves deeply into key topics including research methods in forensic psychology, theories of offending, personal attributes of offenders, and the role of forensic psychology in police investigations and courtroom proceedings. Learners will engage with contemporary theories and case studies that illustrate how forensic science supports the criminal justice system. Through structured modules, participants will explore how psychological principles are applied during investigations, how offender profiles are constructed, and how expert psychological evidence is presented in court. The course is designed to build critical thinking, behavioural analysis, and evidence evaluation skills. With its structured approach and accessible format, the course caters to a broad range of learners, from those new to the discipline to those seeking to advance their professional capabilities. By the end, learners will have a thorough grounding in forensic science, enhancing their career prospects across various sectors. Course Modules Module 01: Introduction Module 02: Research Methods in Forensic Psychology Module 03: Theories of Offending Module 04: Personal Attributes of Offenders Module 05: Forensic Psychology in Police Investigations Module 06: Forensic Psychology in the Courtroom Module 07: Forensic Psychology in Practice (See full curriculum) Who is this course for? Individuals seeking to build a strong foundation in forensic science and psychology. Professionals aiming to enhance their understanding of forensic applications within the criminal justice sector. Beginners with an interest in criminal behaviour, psychology, or law enforcement. Students considering a future career in criminology, psychology, or legal support services. Career Path Forensic Science Technician Criminal Behaviour Analyst Forensic Psychologist Assistant Law Enforcement Officer Court Liaison Specialist Victim Support Worker Criminal Justice Policy Advisor Research Assistant in Criminology and Psychology