446 Mask courses

Overview This comprehensive course on Makeup Artist Training will deepen your understanding on this topic.After successful completion of this course you can acquire the required skills in this sector. This Makeup Artist Training comes with accredited certification which will enhance your CV and make you worthy in the job market.So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is this course for? There is no experience or previous qualifications required for enrolment on this Makeup Artist Training. It is available to all students, of all academic backgrounds. Requirements Our Makeup Artist Training is fully compatible with PC's, Mac's, Laptop,Tablet and Smartphone devices. This course has been designed to be fully compatible on tablets and smartphones so you can access your course on wifi, 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 3 sections • 51 lectures • 21:18:00 total length •Make Up - Course 1 - Beauty Brushes: 00:55:00 •Make Up - Course 2 - Your Makeup Kit: 00:46:00 •Make Up - Course 3 - Etiquette On Set: 00:36:00 •Make Up - Course 4 - How to Use Color Correctors: 00:11:00 •Make Up - Course 5 - Film & Television Makeup Artistry: 00:54:00 •Make Up - Course 6 - Tattoo Covering: 00:27:00 •Make Up - Course 7 - Tips On Natural Beauty Makeup: 00:05:00 •Make Up - Course 8 - Tips On Glamour Makeup: 00:57:00 •Make Up - Course 9 - How To Tips for Teenage Makeup: 00:55:00 •Make Up - Course 10 - Makeup Tips for Sophisticated Ladies: 00:28:00 •Make Up - Course 11 - Airbrush Makeup: 00:26:00 •Make Up - Course 12 - Bridal Makeup: 01:00:00 •Make Up - Course 13 - Eyes and Lips: 00:19:00 •Make Up - Course 14 - Be Camera Ready: 01:12:00 •Make Up - Course 15 - Skin Nutrition: 00:41:00 •Detox Your Makeup Bag & Travel Like a Boss: 00:31:00 •Make Up - Course 17 - Henna Hair Color: 00:05:00 •Make Up - Course 18 - Fast Start Business Training: 00:11:00 •Make Up - Course 19 - What Does Bethany do to Stay Fresh: 00:23:00 •Skin Care - Course 1 - Skin Care and Tanning: 00:41:00 •Skin Care - Course 2 - Facials: 01:50:00 •Skin Care - Course 3 - Hair Removal Options: 00:18:00 •Skin Care - Course 4 - Dermaplaning: 00:23:00 •Skin Care - Course 5 - Esthetician Tools: 00:12:00 •Skin Care - Course 5 - Know your Toxic ingredients: 00:16:00 •Skin Care - Course 6 - LED Light Therapy: 00:21:00 •Skin Care - Course 7 - Microneedling: 00:37:00 •Skin Care - Course 8 - Natural and Chemical Peels: 00:23:00 •Skin Care - Course 9 - Skincare Using Spices: 00:16:00 •Skin Care - Course 10 - Skin Disorder and Diseases: 00:08:00 •Skin Care - Course 11 - Sugaring: 00:16:00 •Skin Care - Course 12 - Tinting: 00:30:00 •Skin Care - Course 13 - How To Be and Get Camera Ready: 01:01:00 •Skin Care - Course 14 - Why No Microdermabrasion: 00:08:00 •Skin Care - Course 15 - Food Knowledge: 00:13:00 •Skin Care - Course 16 - Skincare Using Spices: 00:11:00 •Course 1- Aromatherapy and Essential Oils: 00:29:00 •Course 2- Detox Your Deodorant: 00:11:00 •Course 3 - Dry Brushing: 00:07:00 •Course 4 - Face Masks: 00:07:00 •Course 5 - Find Your Perfect Color: 00:12:00 •: 00:00:00 •Course 7- Good Morning Detox: 00:07:00 •Course 8- Hot Flashes: 00:05:00 •Course 9 - Luxury Spa Treatments at Home: 00:10:00 •Course 10 - How to Conceal and Correct Under Your Eyes: 00:16:00 •Course 11 - Make-Up Your Health Routine: 00:17:00 •Course 12- Oil Pulling- Natural Teeth Whitening: 00:04:00 •Course 13 - Tanning Beds or Spray Tanning: 00:09:00 •Course 14 - What's in Your Lipstick: 00:12:00 •Course 15 - What's All the Fuss About LED Light Ther: 00:06:00

Overview Master professional beauty skills and become a top nail technician & makeup artist by taking the advanced Make-up Artist course. In the interactive Make-up Artist course, you'll learn all the beauty and makeup essential knowledge needed to thrive in the fashion industry. You'll learn how to apply base and eye makeup, how to enhance the lips, cheeks and brows, how to apply bridal and special occasion makeup, work with nail art, and more. By completing the course, you'll gain expertise in all types of makeup,with contouring and highlighting tips as well as techniques for mastering manicures. Become a beauty expert by enrolling 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? There is no experience or previous qualifications required for enrolment on this Make-up Artist. It is available to all students, of all academic backgrounds. Requirements Our Make-up Artist is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible on tablets and smartphones so you can access your course on wifi, 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 3 sections • 51 lectures • 21:22:00 total length •Make Up - Course 1 - Beauty Brushes: 00:55:00 •Make Up - Course 2 - Your Makeup Kit: 00:46:00 •Make Up - Course 3 - Etiquette On Set: 00:36:00 •Make Up - Course 4 - How to Use Color Correctors: 00:11:00 •Make Up - Course 5 - Film & Television Makeup Artistry: 00:54:00 •Make Up - Course 6 - Tattoo Covering: 00:27:00 •Make Up - Course 7 - Tips On Natural Beauty Makeup: 00:05:00 •Make Up - Course 8 - Tips On Glamour Makeup: 00:57:00 •Make Up - Course 9 - How To Tips for Teenage Makeup: 00:55:00 •Make Up - Course 10 - Makeup Tips for Sophisticated Ladies: 00:28:00 •Make Up - Course 11 - Airbrush Makeup: 00:26:00 •Make Up - Course 12 - Bridal Makeup: 01:00:00 •Make Up - Course 13 - Eyes and Lips: 00:19:00 •Make Up - Course 14 - Be Camera Ready: 01:12:00 •Make Up - Course 15 - Skin Nutrition: 00:41:00 •Make Up - Course 16 - Detox Your Makeup Bag & Travel Like a Boss: 00:31:00 •Make Up - Course 17 - Henna Hair Color: 00:05:00 •Make Up - Course 18 - Fast Start Business Training: 00:11:00 •Make Up - Course 19 - What Does Bethany do to Stay Fresh: 00:23:00 •Skin Care - Course 1 - Skin Care and Tanning: 00:41:00 •Skin Care - Course 2 - Facials: 01:50:00 •Skin Care - Course 3 - Hair Removal Options: 00:18:00 •Skin Care - Course 4 - Dermaplaning: 00:23:00 •Skin Care - Course 5 - Esthetician Tools: 00:12:00 •Skin Care - Course 5 - Know your Toxic ingredients: 00:16:00 •Skin Care - Course 6 - LED Light Therapy: 00:21:00 •Skin Care - Course 7 - Microneedling: 00:37:00 •Skin Care - Course 8 - Natural and Chemical Peels: 00:23:00 •Skin Care - Course 9 - Skincare Using Spices: 00:16:00 •Skin Care - Course 10 - Skin Disorder and Diseases: 00:08:00 •Skin Care - Course 11 - Sugaring: 00:15:00 •Skin Care - Course 12 - Tinting: 00:30:00 •Skin Care - Course 13 - How To Be and Get Camera Ready: 01:01:00 •Skin Care - Course 14 - Why No Microdermabrasion: 00:08:00 •Skin Care - Course 15 - Food Knowledge: 00:13:00 •Skin Care - Course 16 - Skincare Using Spices: 00:11:00 •Course 1- Aromatherapy and Essential Oils: 00:29:00 •Course 2- Detox Your Deodorant: 00:11:00 •Course 3 - Dry Brushing: 00:07:00 •Course 4 - Face Masks: 00:07:00 •Course 5 - Find Your Perfect Color: 00:12:00 •Course 6 - Go Earthing: 00:05:00 •Course 7- Good Morning Detox: 00:07:00 •Course 8- Hot Flashes: 00:05:00 •Course 9 - Luxury Spa Treatments at Home: 00:10:00 •Course 10 - How to Conceal and Correct Under Your Eyes: 00:16:00 •Course 11 - Make-Up Your Health Routine: 00:17:00 •Course 12- Oil Pulling- Natural Teeth Whitening: 00:04:00 •Course 13 - Tanning Beds or Spray Tanning: 00:09:00 •Course 14 - What's in Your Lipstick: 00:12:00 •Course 15 - What's All the Fuss About LED Light Ther: 00:06:00

Learn to make your raw images more beautiful and appealing with a few simple tricks and easy to follow instructions! This photo editing course aims at providing you with a complete guideline to edit photos in Adobe Lightroom Classic CC and Adobe Lightroom CC. With this course, you will discover engaging lessons that incorporate Adobe Lightroom Classic CC, Adobe Lightroom CC, and Adobe Lightroom CC on a smartphone. Each and every topic of this course is presented in an easy to grasp manner. You will also develop your skills by learning a range of Photoshop techniques such as adjustment and white balance, vibrant and colour strength and many more. On completion, you will be able to manipulate images according to the need and create eye-catching photographs for branding and marketing. Work with this popular program to its full potential, whether you are using Lightroom Classic CC, Lightroom CC or Lightroom on the smartphone! Who is the course for? This course is ideal for those wanting to improve their base skills in office administrative tasks This course would be ideal for people who want to start working as a receptionist, office administrator, office manager, administrative assistant or secretary Entry Requirement for this photo editing course: 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. 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 £9 and the hard copy for £15. Also, you can order both PDF and hardcopy certificates for £22. Career path This course opens a new door for you to enter the relevant job market and also gives you the opportunity to acquire extensive knowledge along with required skills to become successful. You will be able to add our qualification to your CV/resume which will help you to stand out in the competitive job industry. Course Curriculum Module: 01 0 Lightroom Course Promo 00:02:00 0.1 Promo for Lightroom CC Course 00:02:00 0.1 Promo Video Lightroom Classic CC Course 00:02:00 1.1 Course Introduction 00:03:00 1.1 Into Video 00:02:00 1.1 Intro Video V2 00:04:00 Module: 02 2.1 Importing 00:08:00 2.2 Organizing with Collections 00:07:00 2.4 Face Tagging 00:03:00 Module: 03 3.1 Enhancing Eyes 00:06:00 3.1 Crop and Rotate in Lightroom Classic CC 00:05:00 3.2 Whitening Teeth 00:03:00 3.2 Crop and Straighten 00:11:00 3.3 Exposure in Lightroom Classic CC 00:06:00 3.3 Smoothing Skin 00:02:00 3.4 Color and Saturation in Lightroom Classic CC 00:09:00 3.4 Removing Wrinkles 00:07:00 3.5 Enhancing Lips & Changing Lip Color 00:04:00 3.5 Presence Clarity and Saturation Jon 00:05:00 3.5 Sharpening and Noise Reduction in Lightroom Classic CC 00:07:00 3.6 Cheek Enhancements and Face Contouring 00:05:00 3.6 Tone Curve 00:07:00 3.6 Vignettes, Grain and Dehaze in Lightroom Classic CC 00:06:00 3.7 Exporting in Lightroom Classic CC 00:10:00 3.7 full portrait editing techniques 00:11:00 3.7 HSL 00:07:00 3.8 Lens Corrections in Lightroom Classic CC 00:05:00 3.9 Split Tone in Lightroom Classic CC 00:05:00 3.10 Removing Blemishes with the Heal and Clone Tools in Lightroom Classic CC 00:08:00 3.11 Graduated, Radial and Brush Adjustments in Lightroom Classic CC 00:10:00 3.12 Adjustment Brush Presets in Lightroom Classic CC 00:03:00 3.12 Calibrate Your Camera Profile 00:08:00 3.13 Range Masks in Lightroom Classic CC 00:05:00 3.13 Range Masks in Lightroom Classic CC 00:05:00 Module: 04 4.1 Full Edit - Car 00:15:00 4.1 The Adjustment Brush 00:04:00 4.1 Using, Creating, and Importing Presets 00:05:00 4.2 Color Profiles 00:04:00 4.2 Full Edit - Starry Sky 00:10:00 4.2 Radial Filter 00:03:00 4.3 Full Edit - Woman and Dog 00:15:00 4.3 Graduated Filter 00:05:00 4.3 Speed Up Your Editing Workflow 00:04:00 4.4 Full Edit - Snowy Landscape 00:11:00 4.4 Panorama 00:04:00 4.4 Spot Healing Brush 00:05:00 4.5 Full Edit - Icy River 00:12:00 4.5 HDR 00:03:00 4.6 Automatically Fix Exposure & White Balance 00:02:00 4.6 Full Edit - Surfs Up 00:10:00 4.7 Full Edit - Wildlife Bird 00:15:00 4.8 Full Edit - Roses are Red 00:11:00 Module: 05 5.1 Enhance Eyes and Change Eye Color 00:08:00 5.1 Exporting Photos from Lightroom 00:09:00 5.2 Adding a Watermark Lightroom 00:04:00 5.2 Whitening Teeth 00:03:00 5.3 Smoothing Skin 00:02:00 5.4 Removing Wrinkles 00:05:00 5.5 Enhancing Lips & Changing Lipstick Color 00:03:00 5.6 Enhancing Cheeks _ Face Contouring 00:08:00 5.7 Full Portrait Edit 00:07:00 Module: 06 6.1 Moonscape 00:11:00 6.1 Portrait of a Woman 00:20:00 6.2 Landscape Editing 00:07:00 6.2 Night Edit 00:15:00 6.3 Long Exposure 00:14:00 6.3 Ocean Flash Portrait 00:09:00 6.4 Group Photo Edit 00:16:00 6.4 Product Photo 00:12:00 6.5 Nature 00:09:00 6.5 Portrait With No Flash 00:05:00 6.6 Action 00:08:00 6.6 Lightroom To Match Color For Corporate Branding Images 00:06:00 6.7 Landscape 00:12:00 6.8 Travel 00:13:00 6.9 Couples Portrait 00:18:00 6.10 Architecture Photo 00:18:00 6.11 Aerial Photo 00:09:00 6.12 Street Photo 00:14:00 6.13 Macro Photo 00:10:00 6.14 Pet Photo 00:10:00 6.15 Maternity Couple Photo 00:12:00 6.16 Interior Nursery 00:13:00 6.17 Portrait of a Man 00:19:00 6.18 Sports Photo 00:10:00 Module: 07 7.1 Intro To Lightroom Mobile 00:03:00 7.1 The Map Module 00:04:00 7.2 Syncing Lightroom Mobile 00:08:00 7.2 The Book Module 00:10:00 7.3 Edit Lightroom Mobile 00:09:00 7.3 The Slideshow Module 00:10:00 7.4 Lightroom Mobile Organizing and Sharing 00:05:00 7.4 The Print Module 00:08:00 7.5 The Web Module 00:06:00 Module: 08 8.1 Conclusion and Thank You 00:02:00 8.1 Using Lightroom Presets 00:04:00 8.2 Installing Lightroom Presets 00:03:00 Module: 09 9.1 Calibrate Your Monitor 00:03:00 9.2 Color Checker Passport 00:10:00 9.3 Tablets 00:08:00 9.4 Catalogues 00:11:00 9.5 Brighten and Whiten Teeth and Eyes 00:04:00 9.6 Remove Wrinkles in Lightroom 00:05:00 9.7 Create a Panorama in Lightroom 00:03:00 9.8 Remove Red-Eye 00:01:00 9.9 Soften Skin in Lightroom 00:03:00 9.10 Reduce Noise in Your Photos 00:05:00 Module: 10 10.1 Google NIK 00:17:00 Module: 11 11.1 full lightroom session workflow 00:07:00 Module: 12 12.1 Conclusion 00:01:00 Resources Resources - Complete Guide to Adobe Lightroom Classic CC & CC - Photo Editing Masterclass 00:00:00 Certificate and Transcript Order Your Certificates or Transcripts 00:00:00

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Overview Having a foundational understanding of IT components is essential. Did you know that by 2023, an estimated 2.5 million new IT positions will be available globally? The CompTIA A+ (220-1001) course offers a comprehensive dive into the world of computer technology.  Designed to shape the professionals of tomorrow, this course meticulously covers the gamut of fundamental IT knowledge. Ranging from RAM technology to the vast world of cloud computing, the curriculum is structured to foster a comprehensive understanding. With modules such as 'Inside the PC' and 'Understanding Virtualization', learners will be adept at navigating the complex terrains of the modern IT environment. Ready to steer your career into the future of IT? Enrol now and become a part of the technological revolution! 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 A+ (220-1001). It is available to all students, of all academic backgrounds. Requirements Our CompTIA A+ (220-1001) 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 24 sections • 132 lectures • 17:30:00 total length •CompTIA A+ 2019 Core 1 (220-1001) Course Introduction: 00:02:00 •What is the CompTIA A+?: 00:02:00 •Why Get A+ Certified?: 00:03:00 •What is on the CompTIA A+ Core 1 (220-1001) Exam?: 00:09:00 •How to Pass the A+ Exam: 00:04:00 •How to Use This Video Course: 00:03:00 •Tools of the Trade: 00:06:00 •Troubleshooting Theory: 00:10:00 •Primary PC Connections: 00:05:00 •External Connections: 00:11:00 •Inside the PC: 00:08:00 •What is a Computer?: 00:07:00 •What is a CPU?: 00:15:00 •CPU Speeds and Cores: 00:12:00 •Caching: 00:07:00 •CPU Sockets: 00:12:00 •Installing a CPU: 00:11:00 •Liquid Cooling: 00:04:00 •RAM Technology: 00:11:00 •RAM Capacity: 00:08:00 •RAM Features: 00:07:00 •Installing RAM: 00:07:00 •What is the BIOS?: 00:06:00 •POST: 00:09:00 •System Setup: 00:09:00 •Troubleshooting Firmware: 00:12:00 •Form Factors: 00:06:00 •Chipsets: 00:05:00 •Touring the Motherboard: 00:14:00 •Touring the Case: 00:07:00 •Installing a Motherboard: 00:09:00 •The Power Supply: 00:09:00 •Mounting a Power Supply: 00:05:00 •Choosing a Power Supply: 00:08:00 •Cooling Your PC: 00:11:00 •Troubleshooting Power Supplies: 00:09:00 •Troubleshooting Core Components: 00:14:00 •Introduction to Mass Storage: 00:13:00 •Magnetic Disk Drives: 00:08:00 •Solid State Drives: 00:08:00 •SCSI: 00:03:00 •Boot Order: 00:07:00 •New Installation - First Drive: 00:05:00 •RAID: 00:11:00 •Hardware RAID: 00:07:00 •Mass Storage Troubleshooting: 00:08:00 •Optical Media: 00:10:00 •USB Standards: 00:10:00 •Understanding USB: 00:11:00 •Configuring USB: 00:07:00 •Thunder and Lightning: 00:06:00 •Keyboards and Mice: 00:08:00 •Sight and Sound: 00:07:00 •Readers and Scanners: 00:08:00 •Using Expansion Cards: 00:08:00 •The Right PC for the Job: 00:13:00 •Monitor Technologies: 00:08:00 •LCD Breakdown: 00:04:00 •Graphics Cards and Connections: 00:13:00 •Installing a Graphics Card: 00:07:00 •Projectors: 00:05:00 •Troubleshooting Monitors: 00:06:00 •Introduction to Networking: 00:08:00 •Hubs vs. Switches: 00:05:00 •Hexadecimal: 00:07:00 •WANs and Routers: 00:09:00 •Cables and Connectors: 00:11:00 •Crimping Cables: 00:10:00 •Structured Cabling: 00:11:00 •Introduction to TCP/IP: 00:14:00 •Network IDs and Subnet Masks: 00:05:00 •Special IP Addresses: 00:09:00 •NAT: 00:07:00 •Dynamic IP Addressing: 00:10:00 •IPv6: 00:07:00 •Port Numbers: 00:12:00 •TCP, UDP, and ICMP: 00:06:00 •Understanding DNS: 00:09:00 •Working with DNS: 00:07:00 •Windows Naming: 00:08:00 •Routers: 00:12:00 •Basic Router Configuration: 00:12:00 •Advanced Router Configuration: 00:06:00 •VLANs: 00:07:00 •Network Troubleshooting: 00:05:00 •Wireless Network Hardware: 00:11:00 •Wi-Fi Standards: 00:10:00 •Basic WAP Setup: 00:11:00 •Connecting to a Wi-Fi Network: 00:09:00 •It's a Huge Mesh: 00:04:00 •Beyond Wi-Fi: 00:07:00 •Troubleshooting Wireless Connections: 00:07:00 •Beyond the LAN: 00:03:00 •Internet Tiers: 00:06:00 •Dial-up Connections: 00:08:00 •Broadband Connections: 00:10:00 •Firewalls and Servers: 00:06:00 •FTP: 00:07:00 •E-Mail: 00:08:00 •Proxy Servers: 00:06:00 •Virtual Private Networks (VPNs): 00:08:00 •Internet of Things (IoT): 00:04:00 •Understanding Virtualization: 00:10:00 •Your First Virtual Machine: 00:11:00 •Advanced Virtualization Setup: 00:10:00 •Cloud Computing: 00:08:00 •Cloud Ownership: 00:03:00 •Cloud-Based Applications: 00:06:00 •Laptop Features: 00:08:00 •Laptop Hardware Troubleshooting - The Tools: 00:05:00 •Laptop Hardware - Core Hardware: 00:04:00 •Laptop Hardware - CPU and Motherboard: 00:07:00 •Touring Your Laptop Display: 00:04:00 •What is a Mobile Device?: 00:09:00 •Mobile Connections: 00:10:00 •Touring Android: 00:10:00 •Touring iOS: 00:08:00 •Virtual Reality: 00:03:00 •Maintaining Mobile Devices: 00:11:00 •Mobile Devices and E-mail: 00:10:00 •Mobile Synchronization: 00:08:00 •Laser Printers: 00:13:00 •Inkjet Printers: 00:08:00 •Impact Printers: 00:04:00 •Thermal Printers: 00:04:00 •Installing a Local Printer: 00:14:00 •Sharing Printers: 00:08:00 •Installing Wireless and Cloud Printers: 00:10:00 •Troubleshooting Printers: 00:10:00 •3D Printing: 00:07:00 •Dealing with Threats: 00:07:00 •Assignment - CompTIA A+ (220-1001): 00:00:00

Overview This comprehensive course on Python for Data Analysis will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Python for Data Analysis comes with accredited certification, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is this course for? There is no experience or previous qualifications required for enrolment on this Python for Data Analysis. It is available to all students, of all academic backgrounds. Requirements Our Python for Data Analysis is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career path Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 19 sections • 99 lectures • 00:08:00 total length •Welcome & Course Overview: 00:07:00 •Set-up the Environment for the Course (lecture 1): 00:09:00 •Set-up the Environment for the Course (lecture 2): 00:25:00 •Two other options to setup environment: 00:04:00 •Python data types Part 1: 00:21:00 •Python Data Types Part 2: 00:15:00 •Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 1): 00:16:00 •Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 2): 00:20:00 •Python Essentials Exercises Overview: 00:02:00 •Python Essentials Exercises Solutions: 00:22:00 •What is Numpy? A brief introduction and installation instructions.: 00:03:00 •NumPy Essentials - NumPy arrays, built-in methods, array methods and attributes.: 00:28:00 •NumPy Essentials - Indexing, slicing, broadcasting & boolean masking: 00:26:00 •NumPy Essentials - Arithmetic Operations & Universal Functions: 00:07:00 •NumPy Essentials Exercises Overview: 00:02:00 •NumPy Essentials Exercises Solutions: 00:25:00 •What is pandas? A brief introduction and installation instructions.: 00:02:00 •Pandas Introduction: 00:02:00 •Pandas Essentials - Pandas Data Structures - Series: 00:20:00 •Pandas Essentials - Pandas Data Structures - DataFrame: 00:30:00 •Pandas Essentials - Handling Missing Data: 00:12:00 •Pandas Essentials - Data Wrangling - Combining, merging, joining: 00:20:00 •Pandas Essentials - Groupby: 00:10:00 •Pandas Essentials - Useful Methods and Operations: 00:26:00 •Pandas Essentials - Project 1 (Overview) Customer Purchases Data: 00:08:00 •Pandas Essentials - Project 1 (Solutions) Customer Purchases Data: 00:31:00 •Pandas Essentials - Project 2 (Overview) Chicago Payroll Data: 00:04:00 •Pandas Essentials - Project 2 (Solutions Part 1) Chicago Payroll Data: 00:18:00 •Matplotlib Essentials (Part 1) - Basic Plotting & Object Oriented Approach: 00:13:00 •Matplotlib Essentials (Part 2) - Basic Plotting & Object Oriented Approach: 00:22:00 •Matplotlib Essentials (Part 3) - Basic Plotting & Object Oriented Approach: 00:22:00 •Matplotlib Essentials - Exercises Overview: 00:06:00 •Matplotlib Essentials - Exercises Solutions: 00:21:00 •Seaborn - Introduction & Installation: 00:04:00 •Seaborn - Distribution Plots: 00:25:00 •Seaborn - Categorical Plots (Part 1): 00:21:00 •Seaborn - Categorical Plots (Part 2): 00:16:00 •Seborn-Axis Grids: 00:25:00 •Seaborn - Matrix Plots: 00:13:00 •Seaborn - Regression Plots: 00:11:00 •Seaborn - Controlling Figure Aesthetics: 00:10:00 •Seaborn - Exercises Overview: 00:04:00 •Seaborn - Exercise Solutions: 00:19:00 •Pandas Built-in Data Visualization: 00:34:00 •Pandas Data Visualization Exercises Overview: 00:03:00 •Panda Data Visualization Exercises Solutions: 00:13:00 •Plotly & Cufflinks - Interactive & Geographical Plotting (Part 1): 00:19:00 •Plotly & Cufflinks - Interactive & Geographical Plotting (Part 2): 00:14:00 •Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Overview): 00:11:00 •Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Solutions): 00:37:00 •Project 1 - Oil vs Banks Stock Price during recession (Overview): 00:15:00 •Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 1): 00:18:00 •Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 2): 00:18:00 •Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 3): 00:17:00 •Project 2 (Optional) - Emergency Calls from Montgomery County, PA (Overview): 00:03:00 •Introduction to ML - What, Why and Types..: 00:15:00 •Theory Lecture on Linear Regression Model, No Free Lunch, Bias Variance Tradeoff: 00:15:00 •scikit-learn - Linear Regression Model - Hands-on (Part 1): 00:17:00 •scikit-learn - Linear Regression Model Hands-on (Part 2): 00:19:00 •Good to know! How to save and load your trained Machine Learning Model!: 00:01:00 •scikit-learn - Linear Regression Model (Insurance Data Project Overview): 00:08:00 •scikit-learn - Linear Regression Model (Insurance Data Project Solutions): 00:30:00 •Theory: Logistic Regression, conf. mat., TP, TN, Accuracy, Specificityetc.: 00:10:00 •scikit-learn - Logistic Regression Model - Hands-on (Part 1): 00:17:00 •scikit-learn - Logistic Regression Model - Hands-on (Part 2): 00:20:00 •scikit-learn - Logistic Regression Model - Hands-on (Part 3): 00:11:00 •scikit-learn - Logistic Regression Model - Hands-on (Project Overview): 00:05:00 •scikit-learn - Logistic Regression Model - Hands-on (Project Solutions): 00:15:00 •Theory: K Nearest Neighbors, Curse of dimensionality .: 00:08:00 •scikit-learn - K Nearest Neighbors - Hands-on: 00:25:00 •scikt-learn - K Nearest Neighbors (Project Overview): 00:04:00 •scikit-learn - K Nearest Neighbors (Project Solutions): 00:14:00 •Theory: D-Tree & Random Forests, splitting, Entropy, IG, Bootstrap, Bagging.: 00:18:00 •scikit-learn - Decision Tree and Random Forests - Hands-on (Part 1): 00:19:00 •scikit-learn - Decision Tree and Random Forests (Project Overview): 00:05:00 •scikit-learn - Decision Tree and Random Forests (Project Solutions): 00:15:00 •Support Vector Machines (SVMs) - (Theory Lecture): 00:07:00 •scikit-learn - Support Vector Machines - Hands-on (SVMs): 00:30:00 •scikit-learn - Support Vector Machines (Project 1 Overview): 00:07:00 •scikit-learn - Support Vector Machines (Project 1 Solutions): 00:20:00 •scikit-learn - Support Vector Machines (Optional Project 2 - Overview): 00:02:00 •Theory: K Means Clustering, Elbow method ..: 00:11:00 •scikit-learn - K Means Clustering - Hands-on: 00:23:00 •scikit-learn - K Means Clustering (Project Overview): 00:07:00 •scikit-learn - K Means Clustering (Project Solutions): 00:22:00 •Theory: Principal Component Analysis (PCA): 00:09:00 •scikit-learn - Principal Component Analysis (PCA) - Hands-on: 00:22:00 •scikit-learn - Principal Component Analysis (PCA) - (Project Overview): 00:02:00 •scikit-learn - Principal Component Analysis (PCA) - (Project Solutions): 00:17:00 •Theory: Recommender Systems their Types and Importance: 00:06:00 •Python for Recommender Systems - Hands-on (Part 1): 00:18:00 •Python for Recommender Systems - - Hands-on (Part 2): 00:19:00 •Natural Language Processing (NLP) - (Theory Lecture): 00:13:00 •NLTK - NLP-Challenges, Data Sources, Data Processing ..: 00:13:00 •NLTK - Feature Engineering and Text Preprocessing in Natural Language Processing: 00:19:00 •NLTK - NLP - Tokenization, Text Normalization, Vectorization, BoW.: 00:19:00 •NLTK - BoW, TF-IDF, Machine Learning, Training & Evaluation, Naive Bayes : 00:13:00 •NLTK - NLP - Pipeline feature to assemble several steps for cross-validation: 00:09:00 •Resources- Python for Data Analysis: 00:00:00

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Overview In this age of technology, data science and machine learning skills have become highly demanding skill sets. In the UK a skilled data scientist can earn around £62,000 per year. If you are aspiring for a career in the IT industry, secure these skills before you start your journey. The Complete Machine Learning & Data Science Bootcamp 2023 course can help you out. This course will introduce you to the essentials of Python. From the highly informative modules, you will learn about NumPy, Pandas and matplotlib. The course will help you grasp the skills required for using python for data analysis and visualisation. After that, you will receive step-by-step guidance on Python for machine learning. The course will then focus on the concepts of Natural Language Processing.  Upon successful completion of the course, you will receive a certificate of achievement. This certificate will help you elevate your resume. So enrol today! How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? Anyone with an interest in learning about data science can enrol in this course. It will help aspiring professionals develop the basic skills to build a promising career. Professionals already working in this can take the course to improve their skill sets. Requirements The students will not require any formal qualifications or previous experience to enrol in this course. Anyone can learn from the course anytime from anywhere through smart devices like laptops, tabs, PC, and smartphones with stable internet connections. They can complete the course according to their preferable pace so, there is no need to rush.   Career Path This course will equip you with valuable knowledge and effective skills in this area. After completing the course, you will be able to explore career opportunities in the fields such as Data Analyst Data Scientist Data Manager Business Analyst Course Curriculum 18 sections • 98 lectures • 23:48:00 total length •Welcome & Course Overview6: 00:07:00 •Set-up the Environment for the Course (lecture 1): 00:09:00 •Set-up the Environment for the Course (lecture 2): 00:25:00 •Two other options to setup environment: 00:04:00 •Python data types Part 1: 00:21:00 •Python Data Types Part 2: 00:15:00 •Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 1): 00:16:00 •Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 2): 00:20:00 •Python Essentials Exercises Overview: 00:02:00 •Python Essentials Exercises Solutions: 00:22:00 •What is Numpy? A brief introduction and installation instructions.: 00:03:00 •NumPy Essentials - NumPy arrays, built-in methods, array methods and attributes.: 00:28:00 •NumPy Essentials - Indexing, slicing, broadcasting & boolean masking: 00:26:00 •NumPy Essentials - Arithmetic Operations & Universal Functions: 00:07:00 •NumPy Essentials Exercises Overview: 00:02:00 •NumPy Essentials Exercises Solutions: 00:25:00 •What is pandas? A brief introduction and installation instructions.: 00:02:00 •Pandas Introduction: 00:02:00 •Pandas Essentials - Pandas Data Structures - Series: 00:20:00 •Pandas Essentials - Pandas Data Structures - DataFrame: 00:30:00 •Pandas Essentials - Handling Missing Data: 00:12:00 •Pandas Essentials - Data Wrangling - Combining, merging, joining: 00:20:00 •Pandas Essentials - Groupby: 00:10:00 •Pandas Essentials - Useful Methods and Operations: 00:26:00 •Pandas Essentials - Project 1 (Overview) Customer Purchases Data: 00:08:00 •Pandas Essentials - Project 1 (Solutions) Customer Purchases Data: 00:31:00 •Pandas Essentials - Project 2 (Overview) Chicago Payroll Data: 00:04:00 •Pandas Essentials - Project 2 (Solutions Part 1) Chicago Payroll Data: 00:18:00 •Matplotlib Essentials (Part 1) - Basic Plotting & Object Oriented Approach: 00:13:00 •Matplotlib Essentials (Part 2) - Basic Plotting & Object Oriented Approach: 00:22:00 •Matplotlib Essentials (Part 3) - Basic Plotting & Object Oriented Approach: 00:22:00 •Matplotlib Essentials - Exercises Overview: 00:06:00 •Matplotlib Essentials - Exercises Solutions: 00:21:00 •Seaborn - Introduction & Installation: 00:04:00 •Seaborn - Distribution Plots: 00:25:00 •Seaborn - Categorical Plots (Part 1): 00:21:00 •Seaborn - Categorical Plots (Part 2): 00:16:00 •Seborn-Axis Grids: 00:25:00 •Seaborn - Matrix Plots: 00:13:00 •Seaborn - Regression Plots: 00:11:00 •Seaborn - Controlling Figure Aesthetics: 00:10:00 •Seaborn - Exercises Overview: 00:04:00 •Seaborn - Exercise Solutions: 00:19:00 •Pandas Built-in Data Visualization: 00:34:00 •Pandas Data Visualization Exercises Overview: 00:03:00 •Panda Data Visualization Exercises Solutions: 00:13:00 •Plotly & Cufflinks - Interactive & Geographical Plotting (Part 1): 00:19:00 •Plotly & Cufflinks - Interactive & Geographical Plotting (Part 2): 00:14:00 •Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Overview): 00:11:00 •Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Solutions): 00:17:00 •Project 1 - Oil vs Banks Stock Price during recession (Overview): 00:15:00 •Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 1): 00:18:00 •Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 2): 00:18:00 •Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 3): 00:17:00 •Project 2 (Optional) - Emergency Calls from Montgomery County, PA (Overview): 00:03:00 •Introduction to ML - What, Why and Types..: 00:15:00 •Theory Lecture on Linear Regression Model, No Free Lunch, Bias Variance Tradeoff: 00:15:00 •scikit-learn - Linear Regression Model - Hands-on (Part 1): 00:17:00 •scikit-learn - Linear Regression Model Hands-on (Part 2): 00:19:00 •Good to know! How to save and load your trained Machine Learning Model!: 00:01:00 •scikit-learn - Linear Regression Model (Insurance Data Project Overview): 00:08:00 •scikit-learn - Linear Regression Model (Insurance Data Project Solutions): 00:30:00 •Theory: Logistic Regression, conf. mat., TP, TN, Accuracy, Specificityetc.: 00:10:00 •scikit-learn - Logistic Regression Model - Hands-on (Part 1): 00:17:00 •scikit-learn - Logistic Regression Model - Hands-on (Part 2): 00:20:00 •scikit-learn - Logistic Regression Model - Hands-on (Part 3): 00:11:00 •scikit-learn - Logistic Regression Model - Hands-on (Project Overview): 00:05:00 •scikit-learn - Logistic Regression Model - Hands-on (Project Solutions): 00:15:00 •Theory: K Nearest Neighbors, Curse of dimensionality .: 00:08:00 •scikit-learn - K Nearest Neighbors - Hands-on: 00:25:00 •scikt-learn - K Nearest Neighbors (Project Overview): 00:04:00 •scikit-learn - K Nearest Neighbors (Project Solutions): 00:14:00 •Theory: D-Tree & Random Forests, splitting, Entropy, IG, Bootstrap, Bagging.: 00:18:00 •scikit-learn - Decision Tree and Random Forests - Hands-on (Part 1): 00:19:00 •scikit-learn - Decision Tree and Random Forests (Project Overview): 00:05:00 •scikit-learn - Decision Tree and Random Forests (Project Solutions): 00:15:00 •Support Vector Machines (SVMs) - (Theory Lecture): 00:07:00 •scikit-learn - Support Vector Machines - Hands-on (SVMs): 00:30:00 •scikit-learn - Support Vector Machines (Project 1 Overview): 00:07:00 •scikit-learn - Support Vector Machines (Project 1 Solutions): 00:20:00 •scikit-learn - Support Vector Machines (Optional Project 2 - Overview): 00:02:00 •Theory: K Means Clustering, Elbow method.: 00:11:00 •scikit-learn - K Means Clustering - Hands-on: 00:23:00 •scikit-learn - K Means Clustering (Project Overview): 00:07:00 •scikit-learn - K Means Clustering (Project Solutions): 00:22:00 •Theory: Principal Component Analysis (PCA): 00:09:00 •scikit-learn - Principal Component Analysis (PCA) - Hands-on: 00:22:00 •scikit-learn - Principal Component Analysis (PCA) - (Project Overview): 00:02:00 •scikit-learn - Principal Component Analysis (PCA) - (Project Solutions): 00:17:00 •Theory: Recommender Systems their Types and Importance: 00:06:00 •Python for Recommender Systems - Hands-on (Part 1): 00:18:00 •Python for Recommender Systems - - Hands-on (Part 2): 00:19:00 •Natural Language Processing (NLP) - (Theory Lecture): 00:13:00 •NLTK - NLP-Challenges, Data Sources, Data Processing ..: 00:13:00 •NLTK - Feature Engineering and Text Preprocessing in Natural Language Processing: 00:19:00 •NLTK - NLP - Tokenization, Text Normalization, Vectorization, BoW.: 00:19:00 •NLTK - BoW, TF-IDF, Machine Learning, Training & Evaluation, Naive Bayes : 00:13:00 •NLTK - NLP - Pipeline feature to assemble several steps for cross-validation: 00:09:00

Assessment and Certification: This course does not involve any assessment. Students can order their course completion Certificate at an additional cost of £39 for hard copy and in PDF format at £24. Who is this Course for? Watercolor Painting Beginner Foundation Course How To Paint is certified by CPD Qualifications Standards and CiQ. This makes it perfect for anyone trying to learn potential professional skills. As there is no experience and qualification required for this course, it is available for all students from any academic background. Requirements Our Watercolor Painting Beginner Foundation Course How To Paint is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation. 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. Introduction, Materials needed to paint a beautiful sky in watercolours 1. Introduction to this course 00:06:00 3. Tools needed for my courses 00:01:00 4. Tools discussed 00:12:00 5. Watercolor foundation course Lesson 1 00:13:00 Understanding The Golden section and aerial perspective, Washes and Hake brush 7. Watercolor foundation course Lesson 2 00:16:00 Painting Full washes, turn your practice into a painting 9. Watercolor foundation course Lesson 3 00:20:00 Pencils, sketching, putty rubber, masking tape and masking fluid the basics 10. Watercolor foundation course Lesson 4 00:07:00 Painting your own watercolour sky and landscape 11. Watercolor foundation course Lesson 5 00:10:00 12. Watercolor foundation course Lesson 5a 00:11:00 13. Watercolor foundation course Lesson 5b 00:13:00 My 7 color palette Sorted 15. Part 1 00:08:00 16. Part 2 00:20:00 17. Part 3 00:10:00 18. Part 4 00:07:00 19. Part 5 00:06:00 20. Part 6 00:04:00 In depth equipment and material lectures 21. The Hake Brush Sorted 00:27:00 22. bonus lecture 00:02:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00