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Learn to create projects with Adobe Photoshop, Illustrator and InDesign with our graphic design course Looking to become a highly skilled graphic designer? Do you want to grow professionally, learn key computer graphics skills and work on your own creative projects? This graphic design course has it all. Gain the skills to create ads, posters, covers, web graphics, corporate visual identity and more! Get your first clients, make a name for yourself and learn the secrets of Photoshop, Adobe Illustrator and Indesign – the best graphic design programs. This training is for you if you had very little or just some exposure to professional design and want to improve your skills significantly. We provide an in-depth training on how to apply the latest computer graphics techniques to your projects. If you are looking to learn comprehensive graphic design skills in one course, you’re in the right place! Start today and learn from the best industry experts. Follow their steps and tips to get a head start in graphic design. Complete the graphic design course pressure free and go at your own pace. Inside the course, you’ll find extensive knowledge with master examples, as well as practice exercises, assignments and tests prepared by a professional computer graphic designer. You will learn: All the basics of modern graphic design How to deal with clients and work successfully in the industry Everything about designing in Adobe programs (Photoshop, Illustrator, Indesign) And so much more, including receiving a full certificate upon completing the course. Join the graphic design course and get the benefits: Learning from a professional instructor24/7 access from any devicePractical exercisesTests, quizzes and recapsCertificate of completionExtra materials and downloadable bonuses100% satisfaction guarantee Your Singing Instructor: Bart Carpenter An industry leading graphic designer A respected computer graphic designer and trainer with over 15 years of experience will lead you through this unique course. Your instructor Bart works as a graphic designer and freelancer for many prestigious clients and global brands, such as Kellogg’s. He is a specialist in Photoshop, Illustrator and InDesign and will share his knowledge with you. Our graphic design course expert is passionate about creating high-quality graphic materials through creativity and close collaboration with his clients. He will give you the top tricks and tips on Adobe graphic programmes. His enthusiasm for design is contagious and you can be sure you will complete the course feeling motivated and ready to start on your own designs and projects. Don’t miss this opportunity to learn with one of the industry leaders in graphic design. Overview of the course:   Detailed video presentations 1. Foundations of good graphic design Selection of compositional elements, use and function of lines, importance and role of shapes, selection and character of text, colors and their role in design, techniques of shaping the visual hierarchy, classical principles of composition, examples of graphic design masters, working with clients, final recipient and his influence on the project. 2. Graphic designer tools Choices and functions of sketchbook, computer, monitor, graphics tablet, overview of professional software, use of specific programs, color composition tools, font sources, theme, sources of inspiration, patterns and supporting materials. 3. Computer Graphic Designer – working with clients Types of orders and brief for a graphic designer, client vs. recipient of the project, UX, business aspects of the graphic designer work.   Training videos 1. Job and layout planning Determining the purpose and format of the project, determining the client’s audience and their needs, most popular raster and vector programs, using a graphic design program, using a color palette, collecting source materials, layouts and inspirations, design concept. 2. Creating graphics in Photoshop Graphics editing, layers, vector graphics in Adobe Photoshop, smart objects, color correction, using Adobe Color tools, typography, retouch and photomontage. 3. Creating graphics in Illustrator Applying lines and shapes, working with objects, scaling, working with color, color models, typography, characters, saving and exporting compositions, preparing for print. 4. Working in Indesign   Tests 1. Graphic design knowledge test 2. Photoshop knowledge test 3. Illustrator knowledge test 4. Indesign knowledge test 5. Final Exam Final test Summary of acquired knowledge   Exercises 1. Project start and preparation phase 2. Raster design 3. Vector design 4. Design for publication   Bonus Materials Project brief – template Color Guide Thematic combinations (themes) Layout templates Compendium of image formats Sources of help and resources for graphic designers Experience Beginner-IntermediateLanguage English, German, French, Polish, Portuguese A letter from your expert instructor: This course fits perfectly with current trends in design, has all the latest information You need and is prepared in 100% practical manner. In a short time You will acquire knowledge that covers all the stages of a computer graphic design, from actively seeking an assignment to completing the project in digital or print-ready form.The tools presented in this course are the most popular apps used in advertising agencies and by freelancers around the world. For that reason, the participant can easily start working on graphic design projects, meet all the industry standards and satisfy even the most demanding clients.I highly recommend this course because it can be the beginning of a wonderful and rewarding adventure in graphic design.Bart Carpenter

***24 Hour Limited Time Flash Sale*** Video Editing Advanced Diploma - Become a Pro Video Editor in 2024 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 in, our exclusive Video Editing Advanced Diploma - Become a Pro Video Editor in 2024 Bundle provides 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 Video Editing Advanced Diploma - Become a Pro Video Editor in 2024 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 Video Editing Advanced Diploma - Become a Pro Video Editor in 2024 Online Training, you'll receive 24 CPD-Accredited PDF Certificates, Hard Copy Certificates, and our exclusive student ID card, all absolutely free. Courses Are Included In this Video Editing Advanced Diploma - Become a Pro Video Editor in 2024 Career Bundle: Course 01: Video Editing Advanced Diploma - DaVinci Resolve Course 02: Adobe Premiere Pro CC Course 03: Edit 3 Times Faster with Adobe Premier Pro Course 04: DaVinci Resolve Colour Grading Course 05: YouTube and Instagram Video Production with Editing Bootcamp Course 06: Basic Video Animation Training With Vyond Course 07: Advanced Video Animation Training With Vyond Course 08: Learn 2D Animation with Adobe Animate Course 09: Build Animations with Adobe After Effects Course 10: Comic Book Animation in After Effects Course 11: Collision Intro Animation in After Effects Course 12: Make Super Hero Effects with Adobe Premier Pro and After Effects Course 13: Learn to Animate Sci-fi Vector Arts Using Adobe After Effects CC Course 14: Adobe After Effect: Gradient Animation Course 15: After Effects for Graphic Design Course 16: Adobe After Effects: Learn to Use Shape Tools Course 17: Basic Audio Editing Training With Audacity Course 18: How To Edit Your First Photo in Adobe Photoshop CC Course 19: Shading in Adobe Photoshop Course 20: Adobe Illustrator Course 21: Learn to Make Vector Art on Adobe Illustrator Course 22: Adobe Lightroom CC Course 23: Drone Photography Training Course 24: iPhone Filmmaking With Level 7 in Strategic Learning & Development, 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 Video Editing Advanced Diploma - Become a Pro Video Editor in 2024 today and take the first step towards achieving your goals and dreams. Why buy this Level 7 in Strategic Learning & Development? Free CPD Accredited Certificate upon completion of Level 7 in Strategic Learning & Development Get a free student ID card with Level 7 in Strategic Learning & Development Lifetime access to the Video Editing Advanced Diploma - Become a Pro Video Editor in 2024 course materials Get instant access to this Video Editing Advanced Diploma - Become a Pro Video Editor in 2024 course Learn Video Editing Advanced Diploma - Become a Pro Video Editor in 2024 from anywhere in the world 24/7 tutor support with the Video Editing Advanced Diploma - Become a Pro Video Editor in 2024 course. Start your learning journey straightaway with our Video Editing Advanced Diploma - Become a Pro Video Editor in 2024 Training! Video Editing Advanced Diploma - Become a Pro Video Editor in 2024 premium bundle consists of 24 precisely chosen courses on a wide range of topics essential for anyone looking to excel in this field. Each segment of the Video Editing Advanced Diploma - Become a Pro Video Editor in 2024 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 Video Editing Advanced Diploma - Become a Pro Video Editor in 2024 course. After passing the Video Editing Advanced Diploma - Become a Pro Video Editor in 2024 exam You will be entitled to claim a PDF & Hardcopy certificate accredited by CPD Quality standards completely free. CPD 240 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Video Editing Advanced Diploma - Become a Pro Video Editor in 2024 course is ideal for: Students seeking mastery in Level 7 in Strategic Learning & Development Professionals seeking to enhance Video Editing Advanced Diploma - Become a Pro Video Editor in 2024 skills Individuals looking for a Level 7 in Strategic Learning & Development-related career. Anyone passionate about Level 7 in Strategic Learning & Development Requirements This Video Editing Advanced Diploma - Become a Pro Video Editor in 2024 doesn't require prior experience and is suitable for diverse learners. Career path This Video Editing Advanced Diploma - Become a Pro Video Editor in 2024 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, you will be required to pay an additional fee of 10 GBP for international delivery, and 4.99 GBP for delivery within the UK, for each certificate

This course teaches you data analysis and visualisation using the versatile R language. From understanding data structures to performing advanced statistical analysis, this course equips you with the skills to extract meaningful insights from complex datasets. This Course At A Glance Accredited by CPD UK Endorsed by Quality Licence Scheme Get a deep understanding of data science, the process and the toolbox Learn about R and Rstudio Get an introduction to the basic data types in R Learn to perform arithmetic calculations on vectors Understand what is a matrix and how to analyse it Know what is factors and how to summarise it Recognise how to create a data frame Get an understanding of the relational and logical operators Learn what is a conditional statement and how to implement the same Learn about loops, functions and R packages Understand data manipulation with dplyr Data Science Course with R Programming Course Overview This comprehensive data science with R programming course is specially designed for those who are willing to get a better understanding of R programming and data science to gain proficiency in the same. This online course will help you strengthen your knowledge of data science, R and Rstudio, basics, vectors and much more. This online data science with R programming course will also help you acquire knowledge about the Matrices, factors, data frame, list, logical and relational operations and conditional statements. You will also gain an understanding of the advanced features like loops, functions R packages, regular expressions, etc., to master R language and data science. By the end of the course, you will be able to write R programmes efficiently and be able to analyse data. You will also develop the skills to become a successful data scientist or data analyst after completing this course. Who should take this course? This comprehensive data science with R programming course is suitable for anyone looking to improve their job prospects or aspiring to accelerate their career in this sector and want to gain in-depth knowledge of R programming. Entry Requirements There are no academic entry requirements for this data science with r programming course, and it is open to students of all academic backgrounds. However, you are required to have a laptop/desktop/tablet or smartphone and a good internet connection. Assessment Method This data science with r programming course assesses learners through multiple-choice questions (MCQs). Upon successful completion of the modules, learners must answer MCQs to complete the assessment procedure. Through the MCQs, it is measured how much a learner can grasp from each section. In the assessment pass mark is 60%. Course Curriculum Data Science Overview Introduction to Data Science Data Science Career of the Future What is Data Science Data Science As a Process Data Science Toolbox Data Science Process Explained What's Next R and RStudio Engine and Coding Environment Installing R and RStudio RStudio a Quick Tour Introduction to Basics Arithmetic With R Variable Assignment Basic Data Types in R Vectors Creating a Vector Naming a Vector Arithmetic Calculations on Vectors Vector Selection Selection by Comparison Matrices What's a Matrix Analyzing Matrices Naming a Matrix Adding Columns and Rows to a Matrix Selection of Matrix Elements Arithmetic with Matrices Factors What's a Factor Categorical Variables and Factor Levels Summarizing a Factor Ordered Factors Data Frames What's a Data Frame Creating a Data Frame Selection of Data Frame Elements Conditional Selection Sorting a Data Frame Lists Why Would You Need Lists Creating a List Selecting Elements From a List Adding More Data to The List Relational Operators Equality Greater and Less Than Compare Vectors Compare Matrices Logical Operators AND, OR, NOT Operators Logical Operators with Vectors and Matrices Reverse The Result Relational and Logical Operators Together Conditional Statements The IF Statement IF…ELSE The ELSEIF Statement Loops Write a While Loop Looping with More Conditions Break Stop The While Loop What's a For Loop. Loop Over a Vector Loop Over a List Loop Over a Matrix For Loop with Conditionals Using Next and Break with For Loop Functions What Is a Function. Arguments Matching Required and Optional Arguments Nested Functions Writing Own Functions Functions with No Arguments Defining Default Arguments in Functions Function Scoping Control Flow in Functions R Packages Installing R Packages Loading R Packages Different Ways to Load a Package The Apply Family - Lapply What Is Lapply and When Is Used. Use Lapply with User-Defined Functions Lapply and Anonymous Functions Use Lapply with Additional Arguments The Apply Family - Sapply & Vapply What Is Sapply. How to Use Sapply. Sapply with Your Own Function Sapply with a Function Returning a Vector When Can't Sapply Simplify. What Is Vapply and Why Is It Used. Useful Functions Mathematical Functions Data Utilities Regular Expressions Grepl & Grep Metacharacters Sub & Gsub More Metacharacters Dates And Times Today and Now Create and Format Dates Create and Format Times Calculations with Dates Calculations with Times Getting and Cleaning Data Get and Set Current Directory Get Data From The Web Loading Flat Files Loading Excel Files Plotting Data in R Base Plotting System Base Plots Histograms Base Plots Scatterplots Base Plots Regression Line Base Plots Boxplot Data Manipulation With dplyr Introduction to dplyr Package Using The Pipe Operator (%>%) Columns Component Select() Columns Component Rename() and Rename_with() Columns Component Mutate() Columns Component Relocate() Rows Component Filter() Rows Component Slice() Rows Component Arrange() Rows Component Rowwise() Grouping of Rows Summarise() Grouping of Rows Across() Covid-19 Analysis Task Assessment Assessment - Data Science Course with R Programming Recognised Accreditation CPD Certification Service This course is accredited by continuing professional development (CPD). CPD UK is globally recognised by employers, professional organisations, and academic institutions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. CPD certificates are accepted by thousands of professional bodies and government regulators here in the UK and around the world. Many organisations look for employees with CPD requirements, which means, that by doing this course, you would be a potential candidate in your respective field. Quality Licence Scheme Endorsed The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. It will give you a competitive advantage in your career, making you stand out from all other applicants and employees.     Certificate of Achievement Endorsed Certificate from Quality Licence Scheme After successfully passing the MCQ exam you will be eligible to order the Endorsed Certificate by Quality Licence Scheme. The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. It will give you a competitive advantage in your career, making you stand out from all other applicants and employees. There is a Quality Licence Scheme endorsement fee to obtain an endorsed certificate which is £65. Certificate of Achievement from Lead Academy After successfully passing the MCQ exam you will be eligible to order your certificate of achievement as proof of your new skill. The certificate of achievement is an official credential that confirms that you successfully finished a course with Lead Academy. Certificate can be obtained in PDF version at a cost of £12, and there is an additional fee to obtain a printed copy certificate which is £35. FAQs Is CPD a recognised qualification in the UK? CPD is globally recognised by employers, professional organisations and academic intuitions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. CPD-certified certificates are accepted by thousands of professional bodies and government regulators here in the UK and around the world. Are QLS courses recognised? Although QLS courses are not subject to Ofqual regulation, they must adhere to an extremely high level that is set and regulated independently across the globe. A course that has been approved by the Quality Licence Scheme simply indicates that it has been examined and evaluated in terms of quality and fulfils the predetermined quality standards. When will I receive my certificate? For CPD accredited PDF certificate it will take 24 hours, however for the hardcopy CPD certificate takes 5-7 business days and for the Quality License Scheme certificate it will take 7-9 business days. Can I pay by invoice? Yes, you can pay via Invoice or Purchase Order, please contact us at info@lead-academy.org for invoice payment. Can I pay via instalment? Yes, you can pay via instalments at checkout. How to take online classes from home? Our platform provides easy and comfortable access for all learners; all you need is a stable internet connection and a device such as a laptop, desktop PC, tablet, or mobile phone. The learning site is accessible 24/7, allowing you to take the course at your own pace while relaxing in the privacy of your home or workplace. Does age matter in online learning? No, there is no age limit for online learning. Online learning is accessible to people of all ages and requires no age-specific criteria to pursue a course of interest. As opposed to degrees pursued at university, online courses are designed to break the barriers of age limitation that aim to limit the learner's ability to learn new things, diversify their skills, and expand their horizons. When I will get the login details for my course? After successfully purchasing the course, you will receive an email within 24 hours with the login details of your course. Kindly check your inbox, junk or spam folder, or you can contact our client success team via info@lead-academy.org

Why Choose Photoshop Evening Training Course? Click here for more info Become proficient in Photoshop, the premier photo editing software, with our London Software Training course. Gain essential skills in photo editing, enabling independent navigation of the interface for successful edits and graphic creation. Duration: 10 hours Approach: 1-on-1 guidance, Customized instruction. Schedule: Tailor your own hours, available from Mon to Sat between 9 am and 7 pm.Or Call 02077202581 or WhatsApp 07970325184. Participate in our Photoshop Evening Training Course, hosted at the UK's largest training school. Whether you're a beginner or an expert, our course is tailored to suit your level, offered both live online and in person. Adobe Photoshop Course Highlights: Embark on your design journey with our Adobe Photoshop course, conducted at the UK's leading Adobe Training Centre. Acquire proficiency in Adobe's premier digital imaging software, crucial for digital content creation. Our courses prioritize hands-on exercises, ensuring practical learning experiences. Whether you're new to Photoshop or an experienced user seeking efficiency, our diverse courses cater to your needs. Join us to master Photoshop and unleash your creative potential. Course Details: Duration: 10 hours Approach: Personalized 1-on-1 guidance, customized instruction. Schedule: Flexible hours available from Mon to Sat between 9 am and 7 pm. For inquiries, call 02077202581 or WhatsApp 07970325184. Evening Adobe Photoshop - 10-Hour Training Course Module 1: Introduction to Photoshop (1 hour) Overview of Photoshop interface and tools Understanding file formats and resolution Navigating the workspace and customizing preferences Essential keyboard shortcuts for efficient workflow Module 2: Working with Layers (1 hour) Mastering the concept of layers and their importance Organizing and managing layers effectively Applying layer styles for creative effects Utilizing blend modes for stunning compositions Module 3: Selection Techniques (1 hour) Understanding different selection tools and their uses Precise selections using the Marquee, Lasso, and Magic Wand tools Advanced selections with Quick Selection and Refine Edge Creating masks for non-destructive editing Module 4: Image Editing and Retouching (1 hour) Essential photo retouching techniques for portraits and landscapes Correcting exposure, color, and tone with Adjustment Layers Using the Healing Brush and Clone Stamp for seamless repairs Removing distractions and blemishes with Content-Aware tools Module 5: Typography and Text Effects (1 hour) Working with text layers and formatting options Creating eye-catching text effects using Layer Styles Manipulating text along paths and shapes Designing typographic compositions Module 6: Advanced Image Manipulation (1 hour) Combining images with layer masks and blending modes Creating composite images and surreal artwork Applying transformations and distortions for creative effects Working with Smart Objects for non-destructive editing Module 7: Filters and Special Effects (1 hour) Exploring various filters for artistic and practical purposes Applying blur, sharpening, and distortion filters Creating artistic effects with the Filter Gallery Using smart filters for flexible editing Module 8: Drawing and Vector Graphics (1 hour) Working with shape layers and vector tools Creating custom shapes and icons Utilizing the Pen tool for precise illustrations Designing logos and scalable graphics Module 9: Advanced Color Correction (1 hour) Mastering color adjustments with Curves and Levels Using Adjustment Layers for selective color control Understanding color spaces and profiles Creating duotones and split-tones Module 10: Designing for Web and Print (1 hour) Preparing images for web and social media platforms Understanding resolution and color modes for print Exporting files in various formats for different purposes Final project: Designing a digital artwork or print-ready composition Learning Outcome refers to what students are expected to know, understand, or be able to do at the end of a learning experience, such as a course, training program, or educational module. Learning outcomes are usually specific, measurable, and achievable objectives that demonstrate the effectiveness of the learning process. For example, learning outcomes for a Photoshop course could include: Participants will be proficient in using essential Photoshop tools and features. Participants will demonstrate the ability to apply advanced image editing and retouching techniques. Participants will be able to create visually appealing designs using layers, typography, and special effects. Participants will understand and utilize different file formats and color modes for various output requirements. Participants will produce a final project showcasing their skills and creativity in Adobe Photoshop.

Do you want to engage in creative ventures while earning some additional money? Then, mastering photoshop is crucial. Harness your creativity at work by learning Adobe Photoshop with our easy-to-follow Photoshop course, which will assist you in using Photoshop professionally, and you'll be able to start earning money for your photoshop expertise. This Photoshop course will assist you in mastering the fundamentals of Adobe Photoshop as well as you will be familiar with using views, techniques, flags, ratings, collections, keywords and metadata, workflow, editing, using various tools, using HSL, creating slide shows, projects, and assignments, and many other things. Learning Illustrator, Lightroom, After Effects, Premier Pro, Audition, Animate, and other programmes will help you advance your skills. You will also learn how to freelance on Upwork. In this Photoshop course, you will learn a wide range of knowledge and abilities related to using Photoshop. You'll create a tonne of unique work involving Photoshop abilities that you may include in your resume to increase its value. After completing this Photoshop bundle and gaining additional knowledge and skills, you'll be prepared to enter the creative industry and find employment as a Photoshop freelancer, graphic designer, After-Effects animator, and in a variety of other creative roles. This Adobe Photoshop Training Bundle Consists of the following Premium courses: Course 01: Adobe Lightroom Course 02: Adobe Illustrator Certificate Course Course 03: Basic Adobe Photoshop Course 04: Complete Adobe After Effects CC Diploma Course 05: Adobe Premiere Pro Course 06: Adobe Audition Course 07: 2D Animation: Adobe Animate Course 08: Adobe InDesign Training Course 09: Learn to Make Vector Art on Adobe Illustrator Course 10: Logo Animation Fundamentals Course 11: Professional Photography Diploma Course 12: Freelancing on Upwork Course 13: Learning Computers and Internet Level 2 Course 14: Decision Making and Critical Thinking Learning outcome: A closer look at what you will learn: Learn Adobe software to differentiate yourself in any creative field. Understand how to export files from Photoshop and employ its numerous effects. Know how to use the tools in Adobe Illustrator effectively. Learn the fundamentals of Adobe Photoshop and how to use it. Become well-versed in the Adobe After Effects programme. Produce motion projects like logo animations and cinematic logo introductions. Utilise the de-haze, grain, and vignette features in Lightroom Classic. Gain knowledge on how to make vector art in Adobe Illustrator. Explore the competencies required to become a professional photographer. Discover how to get started freelancing on Upwork. So, enrol in our creative Photoshop course right now and unleash your potential! The Adobe Photoshop bundle incorporates basic to advanced level skills to shed some light on your way and boost your career. Hence, you can strengthen your Adobe Photoshop Training expertise and essential knowledge, which will assist you in reaching your goal. Curriculum: Course 01: Adobe Lightroom Overview The Essentials Views Techniques Flags Ratings Collections Keywords and Metadata Workflow Exporting Basics Editing Tools HSL Slideshows Projects and Assignments Conclusion Final Lesson Practice Materials Certificate: PDF Certificate: Free (Previously it was £6*11 = £66) Hard Copy Certificate: Free (For The Title Course: Previously it was £10) CPD 160 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone who wishes to enter the creative sector and develop a firm, solid foundation in Photoshop should take this course. Complete beginners will be able to learn the software's most complex functions from the very beginning. Anyone who wishes to begin utilising Photoshop professionally and receive compensation for their Photoshop abilities. Anyone who wants to create their own graphics and edit their own photographs from scratch, including beginners, hobbyists, graphic designers, motion graphics creators, Illustrator users, etc. Useful for any seasoned Photoshop user because many self-taught users are lacking in many capabilities and approaches. Requirements Our Adobe Photoshop Training course is fully compatible with PCs, Macs, laptops, tablets and Smartphone devices. Career path Following completion of this Photoshop course, you may apply for a variety of job prospects in the field with additional education, experience, and skill. Graphic Designer - £27,500 per year Illustrator and 2D Animator - £32,925 per year Video Editor - £27197 per year Animator - £31619 per year After-Effects Animator - £22896 per year Certificates Certificate of completion Digital certificate - Included You will get the PDF Certificate for the title course (Adobe Lightroom) absolutely Free! Certificate of completion Hard copy certificate - Included You will get the Hard Copy certificate for the title course (Adobe Lightroom) absolutely Free! Other Hard Copy certificates are available for £10 each. Please Note: The delivery charge inside the UK is £3.99, and the international students must pay a £9.99 shipping cost.

This course will be mainly focusing on machine learning algorithms. Throughout this course, we are preparing our machine to make it ready for a prediction test.

Learning Outcomes After completing this course, learners will be able to: Learn Python for data analysis using NumPy and Pandas Acquire a clear understanding of data visualisation using Matplotlib, Seaborn and Pandas Deepen your knowledge of Python for interactive and geographical potting using Plotly and Cufflinks Understand Python for data science and machine learning Get acquainted with Recommender Systems with Python Enhance your understanding of Python for Natural Language Processing (NLP) Description Whether you are from an engineering background or not you still can efficiently work in the field of data science and the machine learning sector, if you have proficient knowledge of Python. Since Python is the easiest and most used programming language, you can start learning this language now to advance your career with the Data Science And Machine Learning Using Python : A Bootcamp course. This course will give you a thorough understanding of the Python programming language. Moreover, it will show how can you use Python for data analysis and machine learning. Alongside that, from this course, you will get to learn data visualisation, and interactive and geographical plotting by using Python. The course will also provide detailed information on Python for data analysis, Natural Language Processing (NLP) and much more. Upon successful completion of this course, get a CPD- certificate of achievement which will enhance your resume and career. Certificate of Achievement After the successful completion of the final assessment, you will receive a CPD-accredited certificate of achievement. The PDF certificate is for 9.99, and it will be sent to you immediately after through e-mail. You can get the hard copy for 15.99, which will reach your doorsteps by post.  Method of Assessment After completing this course, you will be provided with some assessment questions. To pass that assessment, you need to score at least 60%. Our experts will check your assessment and give you feedback accordingly. Career Path After completing this course, you can explore various career options such as Web Developer Software Engineer Data Scientist Machine Learning Engineer Data Analyst In the UK professionals usually get a salary of £25,000 - £30,000 per annum for these positions. Course Content Welcome, Course Introduction & overview, and Environment set-up Welcome & Course Overview 00:07:00 Set-up the Environment for the Course (lecture 1) 00:09:00 Set-up the Environment for the Course (lecture 2) 00:25:00 Two other options to setup environment 00:04:00 Python Essentials Python data types Part 1 00:21:00 Python Data Types Part 2 00:15:00 Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 1) 00:16:00 Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 2) 00:20:00 Python Essentials Exercises Overview 00:02:00 Python Essentials Exercises Solutions 00:22:00 Python for Data Analysis using NumPy What is Numpy? A brief introduction and installation instructions. 00:03:00 NumPy Essentials - NumPy arrays, built-in methods, array methods and attributes. 00:28:00 NumPy Essentials - Indexing, slicing, broadcasting & boolean masking 00:26:00 NumPy Essentials - Arithmetic Operations & Universal Functions 00:07:00 NumPy Essentials Exercises Overview 00:02:00 NumPy Essentials Exercises Solutions 00:25:00 Python for Data Analysis using Pandas What is pandas? A brief introduction and installation instructions. 00:02:00 Pandas Introduction 00:02:00 Pandas Essentials - Pandas Data Structures - Series 00:20:00 Pandas Essentials - Pandas Data Structures - DataFrame 00:30:00 Pandas Essentials - Handling Missing Data 00:12:00 Pandas Essentials - Data Wrangling - Combining, merging, joining 00:20:00 Pandas Essentials - Groupby 00:10:00 Pandas Essentials - Useful Methods and Operations 00:26:00 Pandas Essentials - Project 1 (Overview) Customer Purchases Data 00:08:00 Pandas Essentials - Project 1 (Solutions) Customer Purchases Data 00:31:00 Pandas Essentials - Project 2 (Overview) Chicago Payroll Data 00:04:00 Pandas Essentials - Project 2 (Solutions Part 1) Chicago Payroll Data 00:18:00 Python for Data Visualization using matplotlib Matplotlib Essentials (Part 1) - Basic Plotting & Object Oriented Approach 00:13:00 Matplotlib Essentials (Part 2) - Basic Plotting & Object Oriented Approach 00:22:00 Matplotlib Essentials (Part 3) - Basic Plotting & Object Oriented Approach 00:22:00 Matplotlib Essentials - Exercises Overview 00:06:00 Matplotlib Essentials - Exercises Solutions 00:21:00 Python for Data Visualization using Seaborn Seaborn - Introduction & Installation 00:04:00 Seaborn - Distribution Plots 00:25:00 Seaborn - Categorical Plots (Part 1) 00:21:00 Seaborn - Categorical Plots (Part 2) 00:16:00 Seborn-Axis Grids 00:25:00 Seaborn - Matrix Plots 00:13:00 Seaborn - Regression Plots 00:11:00 Seaborn - Controlling Figure Aesthetics 00:10:00 Seaborn - Exercises Overview 00:04:00 Seaborn - Exercise Solutions 00:19:00 Python for Data Visualization using pandas Pandas Built-in Data Visualization 00:34:00 Pandas Data Visualization Exercises Overview 00:03:00 Panda Data Visualization Exercises Solutions 00:13:00 Python for interactive & geographical plotting using Plotly and Cufflinks Plotly & Cufflinks - Interactive & Geographical Plotting (Part 1) 00:19:00 Plotly & Cufflinks - Interactive & Geographical Plotting (Part 2) 00:14:00 Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Overview) 00:11:00 Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Solutions) 00:37:00 Capstone Project - Python for Data Analysis & Visualization Project 1 - Oil vs Banks Stock Price during recession (Overview) 00:15:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 1) 00:18:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 2) 00:18:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 3) 00:17:00 Project 2 (Optional) - Emergency Calls from Montgomery County, PA (Overview) 00:03:00 Python for Machine Learning (ML) - scikit-learn - Linear Regression Model Introduction to ML - What, Why and Types.. 00:15:00 Theory Lecture on Linear Regression Model, No Free Lunch, Bias Variance Tradeoff 00:15:00 scikit-learn - Linear Regression Model - Hands-on (Part 1) 00:17:00 scikit-learn - Linear Regression Model Hands-on (Part 2) 00:19:00 Good to know! How to save and load your trained Machine Learning Model! 00:01:00 scikit-learn - Linear Regression Model (Insurance Data Project Overview) 00:08:00 scikit-learn - Linear Regression Model (Insurance Data Project Solutions) 00:30:00 Python for Machine Learning - scikit-learn - Logistic Regression Model Theory: Logistic Regression, conf. mat., TP, TN, Accuracy, Specificityetc. 00:10:00 scikit-learn - Logistic Regression Model - Hands-on (Part 1) 00:17:00 scikit-learn - Logistic Regression Model - Hands-on (Part 2) 00:20:00 scikit-learn - Logistic Regression Model - Hands-on (Part 3) 00:11:00 scikit-learn - Logistic Regression Model - Hands-on (Project Overview) 00:05:00 scikit-learn - Logistic Regression Model - Hands-on (Project Solutions) 00:15:00 Python for Machine Learning - scikit-learn - K Nearest Neighbors Theory: K Nearest Neighbors, Curse of dimensionality . 00:08:00 scikit-learn - K Nearest Neighbors - Hands-on 00:25:00 scikt-learn - K Nearest Neighbors (Project Overview) 00:04:00 scikit-learn - K Nearest Neighbors (Project Solutions) 00:14:00 Python for Machine Learning - scikit-learn - Decision Tree and Random Forests Theory: D-Tree & Random Forests, splitting, Entropy, IG, Bootstrap, Bagging. 00:18:00 scikit-learn - Decision Tree and Random Forests - Hands-on (Part 1) 00:19:00 scikit-learn - Decision Tree and Random Forests (Project Overview) 00:05:00 scikit-learn - Decision Tree and Random Forests (Project Solutions) 00:15:00 Python for Machine Learning - scikit-learn -Support Vector Machines (SVMs) Support Vector Machines (SVMs) - (Theory Lecture) 00:07:00 scikit-learn - Support Vector Machines - Hands-on (SVMs) 00:30:00 scikit-learn - Support Vector Machines (Project 1 Overview) 00:07:00 scikit-learn - Support Vector Machines (Project 1 Solutions) 00:20:00 scikit-learn - Support Vector Machines (Optional Project 2 - Overview) 00:02:00 Python for Machine Learning - scikit-learn - K Means Clustering Theory: K Means Clustering, Elbow method .. 00:11:00 scikit-learn - K Means Clustering - Hands-on 00:23:00 scikit-learn - K Means Clustering (Project Overview) 00:07:00 scikit-learn - K Means Clustering (Project Solutions) 00:22:00 Python for Machine Learning - scikit-learn - Principal Component Analysis (PCA) Theory: Principal Component Analysis (PCA) 00:09:00 scikit-learn - Principal Component Analysis (PCA) - Hands-on 00:22:00 scikit-learn - Principal Component Analysis (PCA) - (Project Overview) 00:02:00 scikit-learn - Principal Component Analysis (PCA) - (Project Solutions) 00:17:00 Recommender Systems with Python - (Additional Topic) Theory: Recommender Systems their Types and Importance 00:06:00 Python for Recommender Systems - Hands-on (Part 1) 00:18:00 Python for Recommender Systems - - Hands-on (Part 2) 00:19:00 Python for Natural Language Processing (NLP) - NLTK - (Additional Topic) Natural Language Processing (NLP) - (Theory Lecture) 00:13:00 NLTK - NLP-Challenges, Data Sources, Data Processing .. 00:13:00 NLTK - Feature Engineering and Text Preprocessing in Natural Language Processing 00:19:00 NLTK - NLP - Tokenization, Text Normalization, Vectorization, BoW. 00:19:00 NLTK - BoW, TF-IDF, Machine Learning, Training & Evaluation, Naive Bayes 00:13:00 NLTK - NLP - Pipeline feature to assemble several steps for cross-validation 00:09:00 Resources Resources - Data Science and Machine Learning using Python : A Bootcamp 00:00:00 Order your Certificates & Transcripts Order your Certificates & Transcripts 00:00:00 Frequently Asked Questions Are there any prerequisites for taking the course? There are no specific prerequisites for this course, nor are there any formal entry requirements. All you need is an internet connection, a good understanding of English and a passion for learning for this course. Can I access the course at any time, or is there a set schedule? You have the flexibility to access the course at any time that suits your schedule. Our courses are self-paced, allowing you to study at your own pace and convenience. How long will I have access to the course? For this course, you will have access to the course materials for 1 year only. This means you can review the content as often as you like within the year, even after you've completed the course. However, if you buy Lifetime Access for the course, you will be able to access the course for a lifetime. Is there a certificate of completion provided after completing the course? Yes, upon successfully completing the course, you will receive a certificate of completion. This certificate can be a valuable addition to your professional portfolio and can be shared on your various social networks. Can I switch courses or get a refund if I'm not satisfied with the course? We want you to have a positive learning experience. If you're not satisfied with the course, you can request a course transfer or refund within 14 days of the initial purchase. How do I track my progress in the course? Our platform provides tracking tools and progress indicators for each course. You can monitor your progress, completed lessons, and assessments through your learner dashboard for the course. What if I have technical issues or difficulties with the course? If you encounter technical issues or content-related difficulties with the course, our support team is available to assist you. You can reach out to them for prompt resolution.

Register on the R Programming for Data Science today and build the experience, skills and knowledge you need to enhance your professional development and work towards your dream job. Study this course through online learning and take the first steps towards a long-term career. The course consists of a number of easy to digest, in-depth modules, designed to provide you with a detailed, expert level of knowledge. Learn through a mixture of instructional video lessons and online study materials. Receive online tutor support as you study the course, to ensure you are supported every step of the way. Get a digital certificate as a proof of your course completion. The R Programming for Data Science is incredibly great value and allows you to study at your own pace. Access the course modules from any internet-enabled device, including computers, tablet, and smartphones. The course is designed to increase your employability and equip you with everything you need to be a success. Enrol on the now and start learning instantly! What You Get With The R Programming for Data Science Receive a e-certificate upon successful completion of the course Get taught by experienced, professional instructors Study at a time and pace that suits your learning style Get instant feedback on assessments 24/7 help and advice via email or live chat Get full tutor support on weekdays (Monday to Friday) Course Design The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace. You are taught through a combination of Video lessons Online study materials Certification After the successful completion of the final assessment, you will receive a CPD-accredited certificate of achievement. The PDF certificate is for £9.99, and it will be sent to you immediately after through e-mail. You can get the hard copy for £15.99, which will reach your doorsteps by post. Who Is This Course For: The course is ideal for those who already work in this sector or are an aspiring professional. This course is designed to enhance your expertise and boost your CV. Learn key skills and gain a professional qualification to prove your newly-acquired knowledge. Requirements: The online training is open to all students and has no formal entry requirements. To study the R Programming for Data Science, all your need is a passion for learning, a good understanding of English, numeracy, and IT skills. You must also be over the age of 16. Course Content Unit 01: Data Science Overview Introduction to Data Science 00:01:00 Data Science: Career of the Future 00:04:00 What is Data Science? 00:02:00 Data Science as a Process 00:02:00 Data Science Toolbox 00:03:00 Data Science Process Explained 00:05:00 What's Next? 00:01:00 Unit 02: R and RStudio Engine and coding environment 00:03:00 Installing R and RStudio 00:04:00 RStudio: A quick tour 00:04:00 Unit 03: Introduction to Basics Arithmetic with R 00:03:00 Variable assignment 00:04:00 Basic data types in R 00:03:00 Unit 04: Vectors Creating a vector 00:05:00 Naming a vector 00:04:00 Arithmetic calculations on vectors 00:07:00 Vector selection 00:06:00 Selection by comparison 00:04:00 Unit 05: Matrices What's a Matrix? 00:02:00 Analyzing Matrices 00:03:00 Naming a Matrix 00:05:00 Adding columns and rows to a matrix 00:06:00 Selection of matrix elements 00:03:00 Arithmetic with matrices 00:07:00 Additional Materials 00:00:00 Unit 06: Factors What's a Factor? 00:02:00 Categorical Variables and Factor Levels 00:04:00 Summarizing a Factor 00:01:00 Ordered Factors 00:05:00 Unit 07: Data Frames What's a Data Frame? 00:03:00 Creating Data Frames 00:20:00 Selection of Data Frame elements 00:03:00 Conditional selection 00:03:00 Sorting a Data Frame 00:03:00 Additional Materials 00:00:00 Unit 08: Lists Why would you need lists? 00:01:00 Creating a List 00:06:00 Selecting elements from a list 00:03:00 Adding more data to the list 00:02:00 Additional Materials 00:00:00 Unit 09: Relational Operators Equality 00:03:00 Greater and Less Than 00:03:00 Compare Vectors 00:03:00 Compare Matrices 00:02:00 Additional Materials 00:00:00 Unit 10: Logical Operators AND, OR, NOT Operators 00:04:00 Logical operators with vectors and matrices 00:04:00 Reverse the result: (!) 00:01:00 Relational and Logical Operators together 00:06:00 Additional Materials 00:00:00 Unit 11: Conditional Statements The IF statement 00:04:00 IFELSE 00:03:00 The ELSEIF statement 00:05:00 Full Exercise 00:03:00 Additional Materials 00:00:00 Unit 12: Loops Write a While loop 00:04:00 Looping with more conditions 00:04:00 Break: stop the While Loop 00:04:00 What's a For loop? 00:02:00 Loop over a vector 00:02:00 Loop over a list 00:03:00 Loop over a matrix 00:04:00 For loop with conditionals 00:01:00 Using Next and Break with For loop 00:03:00 Additional Materials 00:00:00 Unit 13: Functions What is a Function? 00:02:00 Arguments matching 00:03:00 Required and Optional Arguments 00:03:00 Nested functions 00:02:00 Writing own functions 00:03:00 Functions with no arguments 00:02:00 Defining default arguments in functions 00:04:00 Function scoping 00:02:00 Control flow in functions 00:03:00 Additional Materials 00:00:00 Unit 14: R Packages Installing R Packages 00:01:00 Loading R Packages 00:04:00 Different ways to load a package 00:02:00 Additional Materials 00:00:00 Unit 15: The Apply Family - lapply What is lapply and when is used? 00:04:00 Use lapply with user-defined functions 00:03:00 lapply and anonymous functions 00:01:00 Use lapply with additional arguments 00:04:00 Additional Materials 00:00:00 Unit 16: The apply Family - sapply & vapply What is sapply? 00:02:00 How to use sapply 00:02:00 sapply with your own function 00:02:00 sapply with a function returning a vector 00:02:00 When can't sapply simplify? 00:02:00 What is vapply and why is it used? 00:04:00 Additional Materials 00:00:00 Unit 17: Useful Functions Mathematical functions 00:05:00 Data Utilities 00:08:00 Additional Materials 00:00:00 Unit 18: Regular Expressions grepl & grep 00:04:00 Metacharacters 00:05:00 sub & gsub 00:02:00 More metacharacters 00:04:00 Additional Materials 00:00:00 Unit 19: Dates and Times Today and Now 00:02:00 Create and format dates 00:06:00 Create and format times 00:03:00 Calculations with Dates 00:03:00 Calculations with Times 00:07:00 Additional Materials 00:00:00 Unit 20: Getting and Cleaning Data Get and set current directory 00:04:00 Get data from the web 00:04:00 Loading flat files 00:03:00 Loading Excel files 00:05:00 Additional Materials 00:00:00 Unit 21: Plotting Data in R Base plotting system 00:03:00 Base plots: Histograms 00:03:00 Base plots: Scatterplots 00:05:00 Base plots: Regression Line 00:03:00 Base plots: Boxplot 00:03:00 Unit 22: Data Manipulation with dplyr Introduction to dplyr package 00:04:00 Using the pipe operator (%>%) 00:02:00 Columns component: select() 00:05:00 Columns component: rename() and rename_with() 00:02:00 Columns component: mutate() 00:02:00 Columns component: relocate() 00:02:00 Rows component: filter() 00:01:00 Rows component: slice() 00:04:00 Rows component: arrange() 00:01:00 Rows component: rowwise() 00:02:00 Grouping of rows: summarise() 00:03:00 Grouping of rows: across() 00:02:00 COVID-19 Analysis Task 00:08:00 Additional Materials 00:00:00

This unique syllabus teaches modules in Adobe software for A Level/GCSE and adults. Learn the basics and dive deeper with our experienced teachers, who will help you build upon your professional portfolio and provide you with what you need to work towards a professional qualification.  The below outline covers Photoshop, Illustrator, Premiere Pro, and Acrobat. Module 1: Introduction to Adobe Creative Cloud • Understanding Adobe's Creative Cloud Suite • Installation and setup • Introduction to the user interface • Navigating Adobe software Module 2: Adobe Photoshop Basics • Introduction to Photoshop • Understanding raster graphics • Essential tools and panels • Basic photo editing and retouching Module 3: Intermediate Photoshop Skills • Advanced selection techniques • Layers and blending modes • Color correction and adjustment layers • Creating and editing masks Module 4: Adobe Illustrator Fundamentals • Introduction to vector graphics • Illustrator's interface and tools • Drawing and editing shapes • Working with text and typography Module 5: Advanced Illustrator Techniques • Creating complex vector illustrations • Using the Pen tool effectively • Working with gradients and patterns • Illustrator's 3D capabilities Module 6: Adobe Premiere Pro Basics • Introduction to video editing • Premiere Pro's workspace • Importing and organising media • Basic video editing and transitions Module 7: Advanced Premiere Pro Editing • Advanced video editing techniques • Working with audio and sound • Applying effects and colour correction • Exporting video for various platforms Module 8: Adobe Acrobat for Document Management • Introduction to Adobe Acrobat • Creating, editing, and organising PDFs • Adding interactivity to PDFs • Digital signatures and security features Module 9: Integration and Workflow • Seamless integration between Adobe software • Creating assets in Photoshop/Illustrator for use in Premiere Pro • Exporting and importing files for collaborative work • Best practices for project management Module 10: Portfolio Development and Practical Projects • Final projects for each Adobe application • Developing a professional portfolio • Presenting and sharing your work • Preparing for Adobe certification exams (optional) Please note that the duration and depth of each module can vary depending on the level of expertise required and the specific needs of the learners. Additionally, it's important to adapt the curriculum to the learners' proficiency levels, whether they are A Level/GCSE students or adult learners with different experience levels.