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Deepen your knowledge and understanding of water chemistry with the Water Chemistry Level 2 course. This course will provide you with insights into the components and the process of water treatment. You will also receive a valuable certificate upon completing the course. This certificate will elevate your resume and boost your employability in the relevant job market. The Water Chemistry Level 2 course will introduce you to the basics of chemistry. From this step-by-step learning process, you will learn the Alkalinity of water. The course will cover lessons on the principles of hard water and basic water treatment. You will comprehend the process of chemical water treatment. The informative modules will increase your knowledge of inorganic chemicals, volatile and synthetic organic compounds. From this comprehensive course, you will also attain the skills to maintain the safety and security of the laboratory. It will educate you on the essentials of chemical hygiene measures. The Water Chemistry Level 2 course is the perfect package to build your skills in water chemistry. Enrol now and start learning. Learning Objectives Familiarise yourself with the basics of chemistry Enrich your understanding of Alkalinity of Water Learn the principles of hard water and basic water treatment Know the chemical process of water treatment Get introduced to inorganic chemicals, volatile and synthetic organic compounds Deepen your understanding of the laboratory safety measures Explore the essential aspects of the chemical hygiene plan Who is this Course for? This Water Chemistry Level 2 course is ideal for aspiring professionals of the relevant industries 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 water 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 On successful completion of the Water Chemistry Level 2 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: Water Treatment Operator Environmental Scientist Project Engineer Environmental Engineer Water Operator Course Curriculum Module 01: Introduction to Water Chemistry Introduction to Water Chemistry 00:23:00 Module 02: Concepts of Basic Chemistry Concepts of Basic Chemistry 00:22:00 Module 03: Alkalinity of Water Alkalinity of Water 00:15:00 Module 04: Hard Water and Basic Water Treatment Principles Hard Water and Basic Water Treatment Principles 00:20:00 Module 05: Water Treatment and Purification Water Treatment and Purification 00:31:00 Module 06: Chemical Processes of Water Treatment Chemical Processes of Water Treatment 00:16:00 Module 07: Inorganic Chemicals Inorganic Chemicals 00:17:00 Module 08: Volatile and Synthetic Organic Compounds Volatile and Synthetic Organic Compounds 00:25:00 Module 09: Metalloid Section Metalloid Section 00:18:00 Module 10: Metals and Heavy Metal Section Metals and Heavy Metal Section 00:33:00 Module 11: Laboratory Safety Laboratory Safety 00:33:00 Module 12: Chemical Hygiene Plan Chemical Hygiene Plan 00:13:00 Certificate and Transcript Order Your Certificates or Transcripts 00:00:00

Overview This comprehensive course on CompTIA Security+ (SY0-601) will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This CompTIA Security+ (SY0-601) comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this CompTIA Security+ (SY0-601). It is available to all students, of all academic backgrounds. Requirements Our CompTIA Security+ (SY0-601) is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 14 sections • 164 lectures • 20:35:00 total length •Introduction to CompTIA Security+ SY0-601: 00:03:00 •About the CompTIA Security+ SY0-601 Exam: 00:03:00 •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: 00:09:00 •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 •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 •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 •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: 00:07:00 •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 •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 •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: 00:11:00 •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 •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 •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 •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 •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 •DNS Security: 00:05:00 •FTP Packet Capture: 00:03:00 •Secure Web and E-mail: 00:02:00 •Request Forgery Attacks: 00:05:00 •Cross-Site Scripting Attacks: 00:07:00 •Web Application Security: 01:20:00 •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 •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 •Incident Response Overview: 00:03:00 •Incident Response Plans (IRPs): 00:06:00 •Threat Analysis and Mitigating Actions: 00:08:00 •Digital Forensics: 00:12:00 •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

QLS Endorsed + CPD QS Accredited - Dual Certification | Instant Access | 24/7 Tutor Support

Overview Mastering data science skills and expertise can open new doors of opportunities for you in a wide range of fields. Learn the fundamentals and develop a solid grasp of Python data science with the comprehensive Data Science with Python course. This course is designed to assist you in securing a valuable skill set and boosting your career. This course will provide you with quality training on the fundamentals of data analysis with Python. From the step-by-step learning process, you will learn the techniques of setting up the system. Then the course will teach you Python data structure and functions. You will receive detailed lessons on NumPy, Matplotlib, and Pandas. Furthermore, you will develop the skills for Algorithm Evaluation Techniques, visualising datasets and much more. After completing the course you will receive a certificate of achievement. This certificate will help you create an impressive resume. So join today! How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? This course Data Science with Python course is ideal for beginners in data science. It will help them develop a solid grasp of Python and help them pursue their dream career in the field of data science. Requirements The students will not require any formal qualifications or previous experience to enrol in this course. Anyone can learn from the course anytime from anywhere through smart devices like laptops, tabs, PC, and smartphones with stable internet connections. They can complete the course according to their preferable pace so, there is no need to rush. Career Path This course will equip you with valuable knowledge and effective skills in this area. After completing the course, you will be able to explore career opportunities in the fields such as Data Analyst Data Scientist Data Manager Business Analyst And much more! Course Curriculum 90 sections • 90 lectures • 10:19:00 total length •Course Overview & Table of Contents: 00:09:00 •Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types: 00:05:00 •Introduction to Machine Learning - Part 2 - Classifications and Applications: 00:06:00 •System and Environment preparation - Part 1: 00:04:00 •System and Environment preparation - Part 2: 00:06:00 •Learn Basics of python - Assignment 1: 00:10:00 •Learn Basics of python - Assignment 2: 00:09:00 •Learn Basics of python - Functions: 00:04:00 •Learn Basics of python - Data Structures: 00:12:00 •Learn Basics of NumPy - NumPy Array: 00:06:00 •Learn Basics of NumPy - NumPy Data: 00:08:00 •Learn Basics of NumPy - NumPy Arithmetic: 00:04:00 •Learn Basics of Matplotlib: 00:07:00 •Learn Basics of Pandas - Part 1: 00:06:00 •Learn Basics of Pandas - Part 2: 00:07:00 •Understanding the CSV data file: 00:09:00 •Load and Read CSV data file using Python Standard Library: 00:09:00 •Load and Read CSV data file using NumPy: 00:04:00 •Load and Read CSV data file using Pandas: 00:05:00 •Dataset Summary - Peek, Dimensions and Data Types: 00:09:00 •Dataset Summary - Class Distribution and Data Summary: 00:09:00 •Dataset Summary - Explaining Correlation: 00:11:00 •Dataset Summary - Explaining Skewness - Gaussian and Normal Curve: 00:07:00 •Dataset Visualization - Using Histograms: 00:07:00 •Dataset Visualization - Using Density Plots: 00:06:00 •Dataset Visualization - Box and Whisker Plots: 00:05:00 •Multivariate Dataset Visualization - Correlation Plots: 00:08:00 •Multivariate Dataset Visualization - Scatter Plots: 00:05:00 •Data Preparation (Pre-Processing) - Introduction: 00:09:00 •Data Preparation - Re-scaling Data - Part 1: 00:09:00 •Data Preparation - Re-scaling Data - Part 2: 00:09:00 •Data Preparation - Standardizing Data - Part 1: 00:07:00 •Data Preparation - Standardizing Data - Part 2: 00:04:00 •Data Preparation - Normalizing Data: 00:08:00 •Data Preparation - Binarizing Data: 00:06:00 •Feature Selection - Introduction: 00:07:00 •Feature Selection - Uni-variate Part 1 - Chi-Squared Test: 00:09:00 •Feature Selection - Uni-variate Part 2 - Chi-Squared Test: 00:10:00 •Feature Selection - Recursive Feature Elimination: 00:11:00 •Feature Selection - Principal Component Analysis (PCA): 00:09:00 •Feature Selection - Feature Importance: 00:06:00 •Refresher Session - The Mechanism of Re-sampling, Training and Testing: 00:12:00 •Algorithm Evaluation Techniques - Introduction: 00:07:00 •Algorithm Evaluation Techniques - Train and Test Set: 00:11:00 •Algorithm Evaluation Techniques - K-Fold Cross Validation: 00:09:00 •Algorithm Evaluation Techniques - Leave One Out Cross Validation: 00:05:00 •Algorithm Evaluation Techniques - Repeated Random Test-Train Splits: 00:07:00 •Algorithm Evaluation Metrics - Introduction: 00:09:00 •Algorithm Evaluation Metrics - Classification Accuracy: 00:08:00 •Algorithm Evaluation Metrics - Log Loss: 00:03:00 •Algorithm Evaluation Metrics - Area Under ROC Curve: 00:06:00 •Algorithm Evaluation Metrics - Confusion Matrix: 00:10:00 •Algorithm Evaluation Metrics - Classification Report: 00:04:00 •Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction: 00:06:00 •Algorithm Evaluation Metrics - Mean Absolute Error: 00:07:00 •Algorithm Evaluation Metrics - Mean Square Error: 00:03:00 •Algorithm Evaluation Metrics - R Squared: 00:04:00 •Classification Algorithm Spot Check - Logistic Regression: 00:12:00 •Classification Algorithm Spot Check - Linear Discriminant Analysis: 00:04:00 •Classification Algorithm Spot Check - K-Nearest Neighbors: 00:05:00 •Classification Algorithm Spot Check - Naive Bayes: 00:04:00 •Classification Algorithm Spot Check - CART: 00:04:00 •Classification Algorithm Spot Check - Support Vector Machines: 00:05:00 •Regression Algorithm Spot Check - Linear Regression: 00:08:00 •Regression Algorithm Spot Check - Ridge Regression: 00:03:00 •Regression Algorithm Spot Check - Lasso Linear Regression: 00:03:00 •Regression Algorithm Spot Check - Elastic Net Regression: 00:02:00 •Regression Algorithm Spot Check - K-Nearest Neighbors: 00:06:00 •Regression Algorithm Spot Check - CART: 00:04:00 •Regression Algorithm Spot Check - Support Vector Machines (SVM): 00:04:00 •Compare Algorithms - Part 1 : Choosing the best Machine Learning Model: 00:09:00 •Compare Algorithms - Part 2 : Choosing the best Machine Learning Model: 00:05:00 •Pipelines : Data Preparation and Data Modelling: 00:11:00 •Pipelines : Feature Selection and Data Modelling: 00:10:00 •Performance Improvement: Ensembles - Voting: 00:07:00 •Performance Improvement: Ensembles - Bagging: 00:08:00 •Performance Improvement: Ensembles - Boosting: 00:05:00 •Performance Improvement: Parameter Tuning using Grid Search: 00:08:00 •Performance Improvement: Parameter Tuning using Random Search: 00:06:00 •Export, Save and Load Machine Learning Models : Pickle: 00:10:00 •Export, Save and Load Machine Learning Models : Joblib: 00:06:00 •Finalizing a Model - Introduction and Steps: 00:07:00 •Finalizing a Classification Model - The Pima Indian Diabetes Dataset: 00:07:00 •Quick Session: Imbalanced Data Set - Issue Overview and Steps: 00:09:00 •Iris Dataset : Finalizing Multi-Class Dataset: 00:09:00 •Finalizing a Regression Model - The Boston Housing Price Dataset: 00:08:00 •Real-time Predictions: Using the Pima Indian Diabetes Classification Model: 00:07:00 •Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset: 00:03:00 •Real-time Predictions: Using the Boston Housing Regression Model: 00:08:00 •Resources - Data Science & Machine Learning with Python: 00:00:00

Be prepared to save lives with our Emergency First Aid Course. Learn essential skills to respond effectively to medical emergencies, including CPR, wound care, and managing choking incidents. Whether you're a healthcare professional, workplace safety officer, or concerned citizen, this course equips you with the knowledge and confidence to handle critical situations with competence and composure. Enroll now and become a certified first aider, ready to provide immediate assistance when it matters most.

QLS Endorsed + CPD QS Accredited - Dual Certification | Instant Access | 24/7 Tutor Support

QLS Endorsed + CPD QS Accredited - Dual Certification | Instant Access | 24/7 Tutor Support

QLS Endorsed + CPD QS Accredited - Dual Certification | Instant Access | 24/7 Tutor Support

Course Overview: The demand for User Experience (UX) and User Interface (UI) designers is skyrocketing. Our Advanced Diploma in User Experience UI/UX Design is a comprehensive program that equips you with the knowledge and skills to craft seamless and user-centric designs that leave a lasting impact.Through a series of thoughtfully designed modules, learners will not only gain an understanding of UX/UI but also the dynamics of the Web Industry, Graphic Design implications, and the intricate details of UX Design, followed by an extensive dive into UI Design and Optimization techniques. Ultimately, the course incorporates a holistic understanding of the Careers in UX/UI, empowering students to venture confidently into this promising field.Enrol in this Advanced Diploma in User Experience UI/UX Design course today and start your journey to a successful career in UX or UI design! Key Features of the Course: CPD Certification 24/7 Learning Assistance Interesting Learning Materials Who is This Course For? This Advanced Diploma in User Experience UI/UX Design course is ideal for aspiring UX/UI designers, web developers, graphic designers, product managers, and professionals looking to enhance their design skills. Whether you are a beginner or have some experience in design, this course will help you develop a solid foundation and master the intricacies of UX/UI design. What You Will Learn: In the first part of the Advanced Diploma in User Experience UI/UX Design course, you will dive into the fundamentals, including the difference between UX and UI, the roles and responsibilities of designers in a team, and an overview of the web development process. You will also explore the psychology of colour, working with fonts and icons, and the essential tools and techniques used in graphic design. Moving forward, you will uncover the core principles of UX design, learn how to analyse user profiles, identify pain points, and create user personas. You will gain insights into customer journeys, sales funnels, and the principles of influence. Through hands-on projects, you will develop skills in creating storyboards, mood boards, and information architecture. In the latter part of the course, you will focus on wireframing, prototyping, and testing, ensuring your designs are user-friendly and intuitive. You will learn about usability reports, the "Above the Fold" rule, and optimisation using analytics and heat maps. The course also provides valuable guidance on launching a UX/UI design career, including freelancing, personal branding, and building a professional website. Why Enrol in This Course: Join thousands of satisfied learners who highly rated this Advanced Diploma in User Experience UI/UX Design course for its comprehensive curriculum and effective approach. Benefit from up-to-date industry insights and the latest design trends, ensuring you stay ahead of the curve. UX/UI design is one of the fastest-growing fields, offering abundant job opportunities and career growth potential. Develop your design thinking and problem-solving skills, unleashing your creative potential to craft extraordinary user experiences. Requirements: Enrolling in this Advanced Diploma in User Experience UI/UX Design course requires a basic understanding of design concepts and access to a computer with an internet connection. No prior coding or design experience is required. Career Path: Upon completing this Advanced Diploma in User Experience UI/UX Design course, you will be well-prepared for a range of exciting career opportunities, including: UX/UI Designer (£35,000 - £55,000 per annum) Web Developer (£30,000 - £45,000 per annum) Graphic Designer (£25,000 - £40,000 per annum) Product Manager (£40,000 - £70,000 per annum) UX Researcher (£35,000 - £50,000 per annum) Interaction Designer (£35,000 - £60,000 per annum) User Experience Architect (£45,000 - £75,000 per annum) Certification: Upon completing the Advanced Diploma in User Experience UI/UX Design course, you will receive a CPD certificate, widely recognised as a mark of excellence in the professional development of individuals. Enrol today and join the ranks of successful designers who have harnessed the power of user-centric design to create remarkable digital experiences. Course Curriculum 9 sections • 112 lectures • 12:52:00 total length •Learn UX/UI Course Overview: 00:05:00 •Section Overview: 00:04:00 •UX vs UI: 00:04:00 •UX/UI Designer Marketplace: 00:05:00 •Overview of UX Roles: 00:06:00 •Web Industry Section Overview: 00:03:00 •The Phases of Web Development: 00:13:00 •Designer Responsibilities (working in a team): 00:09:00 •Roles & Descriptions (working in a team): 00:05:00 •Agile Approach To Project Management: 00:12:00 •Scrum - Flexible Framework: 00:06:00 •Project Management Apps: 00:13:00 •XD Lesson - Introduction: 00:13:00 •Graphic Design Section Overview: 00:02:00 •The Psychology of Color: 00:13:00 •Color Wheel & Color Schemes: 00:06:00 •Working with Fonts: 00:10:00 •Working With Icons: 00:04:00 •XD Lesson - Tools, Object Manipulation and Components: 00:13:00 •XD Lesson - Font Styles and Artboard Settings: 00:07:00 •Graphic Design Software Tools: 00:03:00 •Adobe XD lesson 4 - Icons & Vector Graphics: 00:14:00 •UX Design Section Overview: 00:04:00 •What is User Experience Design? (UX): 00:09:00 •UX Design Process: 00:03:00 •The UX Analysis Process: 00:08:00 •Working with User Profiles: 00:03:00 •Understanding User Pain Points: 00:03:00 •XD Lesson 5 Class Project: Сompetitive Analysis: 00:10:00 •Developing a Persona Part 1: 00:05:00 •Developing a Persona Part 2: 00:05:00 •Customer Journey: 00:04:00 •Customer Journey vs Sales Funnel: 00:04:00 •3 Phases of a Sales Funnel: 00:07:00 •4 Stages of a Sales Funnel: 00:06:00 •Macro/Micro Conversions: 00:05:00 •Stages of Market Sophistication: 00:06:00 •Lead Generation Funnel: 00:06:00 •Digital Product Sales Funnel: 00:05:00 •7 Principles of Influence: 00:12:00 •Age Based Influence Triggers: 00:06:00 •Gender Influence Triggers: 00:06:00 •Interest Based Marketing: 00:04:00 •Understanding User Flow: 00:08:00 •XD Lesson 6 Class Project: Userflow - Your first UX deliverable: 00:07:00 •Working with Story Boards: 00:05:00 •XD Lesson 7 Class Project: Crafting a Story board: 00:09:00 •Working with Moodboards: 00:04:00 •XD Lesson 8 Class Project: Creating Moodboard: 00:11:00 •Sitemap & Information Architecture: 00:07:00 •XD Lesson - Class Project: App Architecture: 00:09:00 •Low and Hi Fidelity Wireframes: 00:03:00 •XD Lesson - Class Project: Login Screen Wireframe Using Material Design: 00:08:00 •Working with Prototypes: 00:04:00 •XD Lesson - Class Project: Home Screen Wireframe and Linking: 00:07:00 •XD Lesson - Class Project: Adding Interaction to Wireframes: 00:10:00 •Testing and Evaluating: 00:11:00 •UX Deliverables: 00:03:00 •UX Design Conclusion: 00:01:00 •UI Design Section Overview: 00:03:00 •UI Design Overview: 00:03:00 •Types of Interfaces: 00:10:00 •Landing Pages Overview: 00:10:00 •XD Lesson - Using Grids in XD: 00:08:00 •XD Lesson - Single Card design: 00:13:00 •UI Controls: 00:07:00 •UI Components: 00:12:00 •Navigational Components: 00:12:00 •Header Design Overview: 00:07:00 •XD Lesson - Mobile & Desktop: Header Design: 00:10:00 •XD Lesson - Mobile & Desktop: Dropdown Design: 00:06:00 •Common Layouts Overview: 00:08:00 •XD Lesson - Common Layouts: 00:07:00 •Mobile & Desktop Footer Design Overview: 00:07:00 •XD Lesson - Mobile & Desktop: Footer Design: 00:06:00 •Mobile & Desktop Button Design Overview: 00:05:00 •XD Lesson - Mobile & Desktop: Button Design: 00:10:00 •XD Lesson - Mobile & Desktop: Input Design: 00:07:00 •Mobile & Desktop Filter Search Bar Design Overview: 00:06:00 •Adobe XD Lesson - Mobile & Desktop: Filter Design: 00:07:00 •Adobe XD Lesson - Mobile & Desktop: Search Design: 00:03:00 •UI Kit Overview: 00:05:00 •Adobe XD Lesson - Desktop and Mobile: UI Kit: 00:06:00 •Microinteractions Overview: 00:05:00 •Adobe XD lesson - Microinteractions: 00:07:00 •Optimization Section Overview: 00:02:00 •Feedback Review & Getting Referrals: 00:04:00 •'Above the Fold' Rule: 00:04:00 •Adobe XD lesson - Designing a Powerful Above the Fold: 00:08:00 •Using Analytics For Optimization: 00:05:00 •Heat Maps & Element Placements: 00:04:00 •Crafting A Usability Report Overview: 00:08:00 •Adobe XD lesson - Crafting Reports in XD: 00:20:00 •Careers in UX/UI Section Overview: 00:06:00 •Your Daily Productivity Hub: 00:14:00 •How To Start Freelancing: 00:08:00 •Client Consulting: 00:04:00 •Building a Brand: 00:10:00 •Personal Branding: 00:06:00 •The Importance of Having a Website: 00:08:00 •Creating a Logo: 00:05:00 •Step by Step Website Setup: 00:17:00 •UI Templates: 00:06:00 •Logo Templates: 00:04:00 •Creating a Business Email: 00:06:00 •Networking Do's and Don'ts: 00:04:00 •Top Freelance Websites: 00:10:00 •UX/UI Project Scope Questions: 00:10:00 •Laser Focus & Productivity Tools: 00:06:00 •The Places to Find UX Jobs: 00:05:00 •Resources - Advanced Diploma in User Experience UI/UX Design: 00:00:00 •Assignment - Advanced Diploma in User Experience UI/UX Design: 00:00:00

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