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Enhance your coding skill set by learning Java multithreading and parallel programming. Figure out common problems such as debugging codes, splitting a problem into multiple independent pieces, and measuring the runtime and performance of your code. Save time and avoid going into the same pitfalls while learning multithreading.

Increase your cybersecurity capability by learning to perform dynamic and static malware analysis!

***24 Hour Limited Time Flash Sale*** Level 5 Advanced Media and Art Diploma Admission Gifts FREE PDF & Hard Copy Certificate| PDF Transcripts| FREE Student ID| Assessment| Lifetime Access| Enrolment Letter Are you a professional feeling stuck in your career, struggling to keep up with the ever-changing demands of the industry? Or perhaps you're a beginner, unsure of where to start or how to break into your desired field. Whichever stage you're at, here at HF Online we provide unique insights and tools that can help you achieve your goals. Designed to cater to the needs of both seasoned professionals and aspiring newcomers, our Advanced Media and Art Diploma bundle is a comprehensive program that will equip you with the essential skills and knowledge you need to succeed. Whether you're looking to advance in your current role or embark on a new career journey, this bundle has everything you need to take your professional life to the next level. But that's not all. When you enrol in Advanced Media and Art Diploma Online Training, you'll receive 25 CPD-Accredited PDF Certificates, Hard Copy Certificates, and our exclusive student ID card, all absolutely free. Courses Are Included In this Advanced Media and Art Diploma - CPD Certified Career Bundle: Course 01: Advanced Media and Art (Fine Art) Diploma Course 02: Art, Drawing and Painting Course 03: Fine Art Course 04: Advanced Digital Painting Course Course 05: Digital Painting Using Photoshop Course 06: Digital Art: Sketching In Photoshop Course 07: Learn to Make Vector Art on Adobe Illustrator Course 08: Creative Logo Animation Course 09: Finish Your Paintings Faster with Better Results Course 10: The Art of Painting Beyond Technique Course 11: Basic Acrylic Painting Course 12: Basics of Landscape Paintings Course 13: Face Painting Online Course Course 14: Painting and Decorating Course 15: Modern Watercolor Paintings Course 16: Watercolor Painting: Paint a Beach Landscapes Course 17: Modern Acrylic Painting Course Course 18: Arts Management Course 19: Art Conservation Course 20: Video Editing - DaVinci Resolve Course 21: Build Animations with Adobe After Effects Course 22: DaVinci Resolve Colour Grading Course 23: Advanced Basic Audio Editing Training With Audacity Course 24: Art Therapy Diploma Course 25: Gel Manicure and Nail Artist Diploma With Advanced Media and Art Diploma - CPD Certified, you'll embark on an immersive learning experience that combines interactive lessons with voice-over audio, ensuring that you can learn from anywhere in the world, at your own pace. And with 24/7 tutor support, you'll never feel alone in your journey, whether you're a seasoned professional or a beginner. Don't let this opportunity pass you by. Enrol in Advanced Media and Art Diploma - CPD Certified today and take the first step towards achieving your goals and dreams. Why Choose Us? Get a Free CPD Accredited Certificate upon completion of Media and Art Get a free student ID card with Media and Art Training The Media and Art is affordable and simple to understand This course is entirely online, interactive lesson with voiceover audio Lifetime access to the Media and Art course materials The Media and Art comes with 24/7 tutor support Start your learning journey straightaway! Advanced Media and Art Diploma premium bundle consists of 25 precisely chosen courses on a wide range of topics essential for anyone looking to excel in this field. Each segment of Advanced Media and Art Diploma - CPD Certified is meticulously designed to maximise learning and engagement, blending interactive content and audio-visual modules for a truly immersive experience. Certification You have to complete the assignment given at the end of the course. After passing the Advanced Media and Art Diploma exam You will be entitled to claim a PDF & Hardcopy certificate accredited by CPD Quality standards completely free. CPD 250 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This bundle is ideal for: Students seeking mastery in this field Professionals seeking to enhance their skills Anyone who is passionate about this topic Requirements This Advanced Media and Art Diploma doesn't require prior experience and is suitable for diverse learners. Career path This Advanced Media and Art Diploma bundle will allow you to kickstart or take your career in the related sector to the next stage. Certificates CPD Accredited Digital certificate Digital certificate - Included CPD Accredited Hard copy certificate Hard copy certificate - Included If you are an international student, then you have to pay an additional 10 GBP for each certificate as an international delivery charge.

Duration 5 Days 30 CPD hours This course is intended for This course is intended for anyone responsible for conf iguring, maintaining, and troubleshooting Symantec Data Loss Prevention. Additionally, this course is intended for technical users responsible for creating and maintaining Symantec Data Loss Prevention policies and the incident response structure. Overview At the completion of the course, you will be able to: Enforce server, detection servers, and DLP Agents as well as reporting, workflow, incident response management, policy management and detection, response management, user and role administration, directory integration, and filtering. This course is designed to provide you with the fundamental know ledge to configure and administer the Symantec Data Loss Prevention Enforce platform. Introduction to Symantec Data Loss Prevention Symantec Data Loss Prevention overview Symantec Data Loss Prevention architecture Navigation and Reporting Navigating the user interface Reporting and analysis Report navigation, preferences, and features Report filters Report commands Incident snapshot Incident Data Access Hands-on labs: Become familiar with navigation and tools in the user interface. Create, filter, summarize, customize, and distribute reports. Create users, roles, and attributes. Incident Remediation and Workflow Incident remediation and w orkf low Managing users and attributes Custom attribute lookup User Risk Summary Hands-on labs: Remediate incidents and configure a user?s reporting preferences Policy Management Policy overview Creating policy groups Using policy templates Building policies Policy development best practices Hands-on labs: Use policy templates and policy builder to configure and apply new policies Response Rule Management Response rule overview Configuring Automated Response rules Configuring Smart Response rules Response rule best practices Hands-On Labs: Create and use Automated and Smart Response rules Described Content Matching DCM detection methods Hands-on labs: Create policies that include DCM and then use those policies to capture incidents Exact Data Matching and Directory Group Matching Exact data matching (EDM) Advanced EDM Directory group matching (DGM) Hands-on labs: Create policies that include EDM and DGM, and then use those policies to capture incident Indexed Document Matching Indexed document matching (IDM) Hands-on labs: Create policies that include IDM rules and then use those policies to capture incidents Vector Machine Learning Vector Machine Learning (VML) Hands-on labs: Create a VML profile, import document sets, and create a VML policy Network Monitor Review of Network Monitor Protocols Traffic filtering Network Monitor best practices Hands-On Labs: Apply IP and L7 filters Network Prevent Network Prevent overview Introduction to Network Prevent (Email) Introduction to Network Prevent (Web) Hands-On Labs: Configure Network Prevent (E-mail) response rules, incorporate them into policies, and use the policies to capture incidents Mobile Email Monitor and Mobile Prevent Introduction to Mobile Email Monitor Mobile Prevent overview Configuration VPN configuration Policy and Response Rule Creation Reporting and Remediation Troubleshooting Network Discover and Network Protect Network Discover and Network Protect overview Configuring Discover targets Configuring Box cloud targets Protecting data Auto-discovery of servers and shares Running and managing scans Reports and remediation Network Discover and Network Protect best practices Hands-on labs: Create and run a filesystem target using various response rules, including quarantining Endpoint Prevent Endpoint Prevent overview Detection capabilities at the Endpoint Configuring Endpoint Prevent Creating Endpoint response rules Viewing Endpoint Prevent incidents Endpoint Prevent best practices Managing DLP Agents Hands-on labs: Create Agent Groups and Endpoint response rules, monitor and block Endpoint actions, view Endpoint incidents, and use the Enforce console to manage DLP Agents Endpoint Discover Endpoint Discover overview Creating and running Endpoint Discover targets Using Endpoint Discover reports and reporting features Hands-on labs: Create Endpoint Discover targets, run Endpoint Discover targets, and view Endpoint Discover incidents Enterprise Enablement Preparing for risk reduction Risk reduction DLP Maturity model System Administration Server administration Language support Incident Delete Credential management Troubleshooting Diagnostic tools Troubleshooting scenario Getting support Hands-on labs: Interpret event reports and traffic reports, configure alerts, and use the Log Collection and Configuration tool Additional course details: Nexus Humans Symantec Data Loss Prevention 14.0 - Administration training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Symantec Data Loss Prevention 14.0 - Administration course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Basics to Essential Photoshop Skills Course, Master retouching, layers, color, correction, shapes, and symbols. Delve into graphic design, photo editing, and digital art. Elevate your skills from beginner to pro, gaining expertise in UX strategies, ensuring your websites are impactful and user-friendly. Click here for more info: Website Duration: 16 hours Method: Personalized 1-on-1 sessions ensure individual attention. Schedule: Customize your learning with pre-booked sessions available Monday to Saturday, from 9 am to 7 pm. Module 1: Introduction to Photoshop (2 hours) Understanding the Photoshop interface and workspace Navigating tools, panels, and menus Essential keyboard shortcuts for efficient workflow Introduction to different file formats and their uses Module 2: Basic Image Editing Techniques (2 hours) Cropping, resizing, and straightening images Color adjustments and corrections using adjustment layers Removing blemishes and distractions with healing tools Introduction to layers and blending modes Module 3: Advanced Image Manipulation (2 hours) Creating composite images with layer masks Utilizing advanced selection tools for precise editing Applying filters and special effects for creative enhancements Mastering text and typography in Photoshop Module 4: Graphic Design and Layout (2 hours) Designing banners, posters, and social media graphics Working with shapes, gradients, and patterns Creating visually appealing typography compositions Introduction to vector graphics and custom shapes Module 5: Web and UI Design (2 hours) Designing user interfaces for websites and applications Creating web-ready graphics and optimizing images Prototyping interactive elements and buttons Designing responsive layouts for various devices Module 6: Introduction to 3D and Animation (2 hours) Creating 3D objects and text Basic 3D manipulation and lighting effects Introduction to animation with the Timeline panel Exporting animations and interactive multimedia Module 7: Project-Based Learning (2 hours) Applying learned techniques to real-world projects Designing a digital artwork, website mockup, or social media campaign Receiving instructor feedback for skill refinement Final presentation of completed projects and portfolio building Upon completing our personalized Photoshop Mastery course, you'll: Master Tools: Excel in Photoshop's essential and advanced tools, including image manipulation and graphic design techniques. Design Expertise: Develop skills in creating compelling graphics, web layouts, and interactive UI designs. 3D & Animation Skills: Understand 3D manipulation, lighting, and basic animation techniques. Career Opportunities: This course prepares you for roles such as Graphic Designer, Web/UI Designer, Digital Artist, Photo Retoucher, 3D Artist, or Entrepreneur in the design industry. Dive deep into the world of Photoshop with our exclusive 1-on-1 training program. Tailored to your pace and skill level, this course offers a comprehensive understanding of Photoshop's essentials and advanced features. From image editing to graphic design and 3D manipulation, master Photoshop with personalized attention and hands-on guidance. Key Details: Personalized Attention: Enjoy dedicated 1-on-1 sessions with an experienced Photoshop instructor, ensuring focused learning and personalized guidance. Tailored Curriculum: The course content is customized based on your goals, allowing you to explore specific areas of interest and address individual challenges. Flexible Scheduling: Schedule sessions at your convenience, accommodating your busy lifestyle. Choose from weekdays or weekends, morning or evening, for a flexible learning experience. Hands-on Learning: Engage in practical, real-time exercises and projects tailored to your interests, reinforcing your skills and boosting confidence. In-depth Exploration: Cover a wide range of topics, including image editing, graphic design, 3D manipulation, web design, and more, delving deep into each area for a thorough understanding. Interactive Q&A: Participate in interactive Q&A sessions during each class, clarifying doubts and gaining valuable insights from your instructor. Lesson Recordings: Access recordings of your sessions for review and reinforcement, ensuring you grasp every concept and technique thoroughly. Ongoing Support: Benefit from continuous email support even after the course completion, receiving guidance on projects and addressing any post-training queries. Solid Foundation: Develop foundational Photoshop skills, mastering essential techniques for image editing and graphic design. Versatile Editing: Learn retouching, color correction, and photo enhancement for professional-quality results. Efficient Workflow: Optimize your work with layer management, non-destructive editing, and time-saving tricks. Creative Mastery: Harness Photoshop's power to create digital art, manipulate images, and design stunning graphics. Real-world Application: Apply skills to diverse projects like photo editing, web design, and social media graphics. Flexible Review: Access recorded lessons for convenient review of specific techniques or workflows. Lifelong Support: Enjoy lifetime email assistance for guidance, questions, and clarifications even after course completion.

R Programming for Statistics and Data Science is the course that will take you from a complete beginner in programming with R to a professional who can complete data manipulation on demand. It gives you the complete skillset to tackle a new data science project with confidence and be able to critically assess your and others' work.

Overview This comprehensive course on Data Science & Machine Learning with Python will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Data Science & Machine Learning with Python 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 Data Science & Machine Learning with Python. It is available to all students, of all academic backgrounds. Requirements Our Data Science & Machine Learning with Python 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 2 sections • 90 lectures • 10:24:00 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: 00:08:00 •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: 00:07:00 •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 an expert in Adobe Illustrator and give figures to your imagination with the Illustrator CC 2018 MasterClass course. Adobe Illustrator CC is the industry-standard vector graphics software. It is used worldwide by designers of all types who want to create digital graphics, illustrations, and typography for all kinds of media: print, web, interactive, video, and mobile. In this course, you will learn how to use the software for creating digital graphics and other illustrations. The course familiarizes you with the necessary tools and techniques for drawing. You will know about colours, and master the strategies of controlling the colours for the different panel. The different illustrator brushes and how to create your own brush, the methods of vectorizing an image, the concepts of Glyphs, Stylistic Sets, Variable fonts, etc. will be discussed in the course. Upon completion, you will be able to create different graphic styles, logos, characters, infographics, and more. What Will I Learn? Master the Different drawing & illustrations tools & techniques Learn about creating different graphic styles & Art directions in illustrator Learn about colors & how to control them from different illustrator panels Learn to speed up your workflow & speed up Illustrator performance as well Master different illustrator Brushes & create your own brushes Master Typography after learning it's anatomy & theories Know the details of Glyphs, Stylistic Sets, Variable fonts Know the Latest design trends & Art directions through this creative illustrator journey Design with images & learn how to vectorize & enhance them Learn the sneaky & tricky settings & options of illustrator to use it like a third hand Learn How to export different formats and prepare your Artwork for printing or screen use Designing Confidently with illustrator after Practicing on downloadable illustrator exercises & videos you will be able to use the drawing knowledge to draw logos, characters, infographics..etc Requirements Adobe illustrator ( recent version is preferable ) No Previous experience needed Who is the target audience? Want to Master Adobe illustrator from scratch in Artistic & Creative way Have already some illustrator knowledge & want to Advance your experience interested in Design or Art Want to do your own business designs Interested in creating illustrations & vector arts to express creativity Introduction to Course 1 Illustrator Course Outline FREE 00:02:00 2 The Power of Adobe illustrator 00:01:00 3 Achieve the best learning experience 00:02:00 Illustrator Fundamentals & Basics 4 Illustrator Documents 00:04:00 Ilustrator workspaces & Properties Panel 00:13:00 6 Artboards 00:13:00 7 Illustrator Navigation & zooming 00:09:00 8 Illustrator Prefrences & Settings 00:12:00 9 Illustrator Basic geometric shapes 00:16:00 10 Illustrator Transformation & Rotation (resized) 00:12:00 11 Illustrator Pathfinder & shape builder tool 00:11:00 12 Illustrator Selection tools & methods 00:09:00 13 grouping elements in illustrator 00:06:00 14 illustrator Layers & Arranging elements 00:08:00 15 Illustrator Align & distribute panel 00:04:00 16 Illustrator Gudies, Grids & Rulers 00:11:00 17 Excercise (layers, selection, pathfinder, guides, coloring, Artboards) 00:17:00 Colors, Appearance & Graphic Styles in Illustrator 18 Illsutrator Stroke Panel 00:09:00 19 Illsutrator color panels ( color, swatches, themes, guide) 00:19:00 20 Illustrator Gradiant colors panel 00:13:00 21 Illustrator Appearane & Graphic style panels 00:09:00 22 Illustrator effects 00:14:00 23 Excercise (Appearance, Graphic Style, Gradients, strokes) 00:09:00 Drawing Tools & Techniques 24 Illustrator pencil tool 00:07:00 25 Illustrator Brush tool 00:03:00 26 Drawing modes & blob brush tool 00:17:00 27 Illustrator Pen Tools 00:14:00 28 Illustrator curvature tool 00:05:00 29 Pen Tools & curvature tool exercise 00:18:00 30 Illustrator drawing modifying tools 00:14:00 31 illustrator Transform & Liquify tools 00:10:00 32 illustrator puppet warp tool 00:04:00 33 illustrator envlope distort 00:07:00 34 Drawing Symmetric Shapes 00:09:00 35 Drawing Concentric Symmetrical design 00:11:00 36 Illustrator Clipping Masks 00:11:00 37 Illustrator Opacity Masks 00:08:00 38 illustrator live paint bucket tool 00:09:00 39 Recolor Artwork 00:09:00 40 Exercise Complex Drawing 00:09:00 41 Illustrator Complex Drawing techniques explained 00:15:00 Illustrator Brushes 42 Illustrator Art Brushes 00:14:00 43Illustrator Scatter Brush 00:10:00 44 illustrator Bristle Brush 00:07:00 45 Illustrator Calligraphic brush 00:10:00 46 Illustrator Pattern brush 00:08:00 47 Illustrator Images brushes 00:09:00 48 Exercise (Brushes) 00:03:00 Design With images in illustrator 49 handling images in illustrator 00:16:00 50 images modifications before tracing 00:07:00 51 Tracing images in illustrator 00:13:00 52 Enhancing traced Vectors & coloring hints 00:07:00 53 Exercise (Images) 00:03:00 Typography in Illustrator 54 Illustrator Typography Anatomy & Character control 00:15:00 55 illustrator Paragraphes control 00:12:00 56 Illustrator Chracter & paragraph styles panels 00:11:00 57 Illustrator Fonts (Filtering, Variable, glyphs, stylistic sets, open type panel, svg) - Copy 00:16:00 58 illustrator Touch type tool 00:02:00 59 Illustrator type on a path tools 00:07:00 60 Clipping Typography Masks 00:04:00 61 Illustrator Typography Art directions & trending visual effects 00:15:00 62 illustrator type envlope distort 00:04:00 63 illustrator text wrap- 00:02:00 64 Exercise (Typography Composition) 00:03:00 Illustrator Advanced Techniques & Tricks 65 Illustrator blend tool 00:10:00 66 illustrator perspective drawing 00:12:00 67 Illustrator Symbols- 00:12:00 68 Creating Patterns in Illustrator 00:09:00 69 illustrator Graphs 00:15:00 70 illustrator gradiant mesh 00:08:00 Exporting & Finalizing Artwork in illustrator 71 exporting illustrator files & save for web 00:07:00 72 Preparing & exporting illustrator file for printing 00:07:00 73 Illustrator Asset Export panel 00:02:00 74 Creative cloud & libraries 00:07:00 75 Illustrator export for screens, save for web & Archiving files 00:09:00 Course Certification

In this practical, hands-on course, you'll learn how to use R for effective data analysis and visualization and how to make use of that data in a practical manner. You will learn how to install and configure software necessary for a statistical programming environment and describe generic programming language concepts as they are implemented in a high-level statistical language.

The underlying patterns in your data hold vital insights; unearth them with cutting-edge clustering and classification techniques in R