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Delve into the world of data analysis with 'R Programming for Data Science,' a course designed to guide learners through the intricacies of R, a premier programming language in the data science domain. The course opens with a broad perspective on data science, illuminating the pivotal role of R in this field. Learners are then introduced to R and RStudio, equipping them with the foundational tools and interfaces essential for R programming. The curriculum progresses with an introduction to the basics of R, ensuring learners grasp the core principles that underpin more complex operations. A highlight of this course is its in-depth exploration of R's versatile data structures, including vectors, matrices, factors, and data frames. Each unit is crafted to provide learners with a comprehensive understanding of these structures, pivotal for effective data handling and manipulation. The course also emphasizes the importance of relational and logical operators in R, key elements for executing data operations. As the course advances, learners will engage with the nuances of conditional statements and loops, essential for writing efficient and dynamic R scripts. Moving into more advanced territories, the course delves into the creation and usage of functions, an integral part of R programming, and the exploration of various R packages that extend the language's capabilities. Learners will also gain expertise in the 'apply' family of functions, crucial for streamlined data processing. Further units cover regular expressions and effective strategies for managing dates and times in data sets. The course concludes with practical applications in data acquisition, cleaning, visualization, and manipulation, ensuring learners are well-prepared to tackle real-world data science challenges using R. Learning Outcomes Develop a foundational understanding of R's role in data science and proficiency in RStudio. Gain fluency in R programming basics, enabling the handling of complex data tasks. Acquire skills in managing various R data structures for efficient data analysis. Master relational and logical operations for advanced data manipulation in R. Learn to create functions and utilize R packages for expanded analytical capabilities. Why choose this R Programming for Data Science course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Unlock career resources for CV improvement, interview readiness, and job success. Who is this R Programming for Data Science course for? Beginners in data science eager to learn R programming. Data analysts and scientists looking to enhance their skills in R. Researchers in various fields requiring advanced data analysis tools. Statisticians seeking to adopt R for more sophisticated data manipulations. Professionals in finance, healthcare, and other sectors needing data-driven insights. Career path Data Scientist (R Expertise): £30,000 - £70,000 Data Analyst (R Programming Skills): £27,000 - £55,000 Bioinformatics Scientist (R Proficiency): £35,000 - £60,000 Quantitative Analyst (R Knowledge): £40,000 - £80,000 Research Analyst (R Usage): £25,000 - £50,000 Business Intelligence Developer (R Familiarity): £32,000 - £65,000 Prerequisites This R Programming for Data Science does not require you to have any prior qualifications or experience. You can just enrol and start learning.This R Programming for Data Science was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Course Curriculum 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? 00:02:00 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 Assignment Assignment - R Programming for Data Science 00:00:00

Course Overview Learn how to create the perfect portfolio to showcase your Photoshop skill from this Build a Portfolio: 40 Practical Projects in Photoshop course and be able to present your works in a smart and effective way. In this Build a Portfolio: 40 Practical Projects in Photoshop course, you will learn how to create a Portfolio, practical Photoshop technique to apply immediately, Facebook ads, Instagram post, YouTube thumbnails, newsletter, CV, business card creating, how to maintain your workflow, logo design, banner creating, image editing and many other projects that will enrich your portfolio and make you more valuable to employers. In addition, this course will help you to understand Photoshop projects that can add value to your career as a designer.  You will learn Photoshop projects and how to create them from scratch. Learn unique Photoshop techniques and be able to use them in your projects effectively from this Build a Portfolio: 40 Practical Projects in Photoshop course. Learning Outcomes Familiarize with the techniques of creating a portfolio and showcasing your work Learn different project styles and techniques Be able to create CV, business card, logo, catalogue and sales banner Learn how to design YouTube thumbnails, Instagram posts, Facebook ads and other social media promotion ads Create different images, edit images and cover images Be able to create a lasting impression in your mind through your design Who is this course for? This course is ideal for those who want to showcase their work and establish their career as digital artist or graphic designers. You will learn how you can create your portfolio, enrich your CV and showcase your work from this course. Entry Requirement 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. Certification After you have successfully completed the course, you will be able to obtain an Accredited Certificate of Achievement. You can however also obtain a Course Completion Certificate following the course completion without sitting for the test. Certificates can be obtained either in hardcopy at the cost of £39 or in PDF format at the cost of £24. PDF certificate's turnaround time is 24 hours, and for the hardcopy certificate, it is 3-9 working days. Why choose us? Affordable, engaging & high-quality e-learning study materials; Tutorial videos/materials from the industry-leading experts; Study in a user-friendly, advanced online learning platform; Efficient exam systems for the assessment and instant result; The UK & internationally recognized accredited qualification; Access to course content on mobile, tablet or desktop from anywhere anytime; The benefit of career advancement opportunities; 24/7 student support via email. Career Path Build a Portfolio: 40 Practical Projects in Photoshop is a useful qualification to possess and would be beneficial for any related profession or industry such as: Graphic Designers Photo Editors Artists Digital Artists Freelancers Introduction Welcome 00:06:00 Getting Fast Help 00:02:00 Graphic Design 00:03:00 Create your first Facebook Ad Design 00:08:00 Using Photoshop for Every Project 00:04:00 Design Assets Explained 00:06:00 Best Sources for Design Assets 00:08:00 Optional - Setting up Photoshop 00:06:00 Mix and Match Design Assets 00:04:00 What does it take to create beautiful graphics? 00:03:00 Facebook Cover Project Introduction 00:01:00 Project Settings & Aspect Ratios 00:08:00 Optional: Creating Text Assets From Scratch 00:05:00 Selecting Image Assets 00:07:00 Arranging the Assets on the Canvas 00:04:00 Designing the Cover 00:07:00 Typography for the Facebook Cover 00:07:00 Fine Tuning the Cover 00:04:00 Conclusion 00:03:00 Facebook Cover Project #2 Introduction 00:01:00 Analyze your assets and options 00:05:00 Setting the project's foundation 00:05:00 Creating a neutral background with a noise texture 00:07:00 Sizing up the products correctly 00:05:00 Creating shadows for the products 00:06:00 Fine Tuning the Cover 00:04:00 Using vector graphics to create version 2 00:04:00 Creative Facebook cover iteration 00:09:00 Youtube Thumbnails The connection between YouTube thumbnails & Views 00:02:00 The power of a mockup 00:07:00 The Absolute best way to design YouTube Thumbnails 00:04:00 Classic YouTube Thumbnail - Part 1 00:05:00 Classic YouTube Thumbnail - Part 2 00:07:00 Abstract YouTube Thumbnail - Part 1 00:06:00 Abstract YouTube Thumbnail - Part 2 00:07:00 Choose your own style 00:05:00 Before and After Thumbnail 00:07:00 Illustration-based Thumbnail - Part 1 00:05:00 Illustration-based Thumbnail - Part 2 00:05:00 Personal Brand Thumbnail 00:07:00 Text Behind & In Front of you 00:05:00 Conclusions 00:01:00 Instagram Introduction 00:01:00 How to Post on Instagram from your Computer 00:02:00 Instagram Content Creation Hack 00:05:00 Clean Product Presentation - Part 1 00:05:00 Clean Product Presentation - Part 2 00:07:00 Instagram Mockups - Easy! 00:03:00 Inspirational Content - Part 1 00:06:00 Inspirational Content - Part 2 00:04:00 Black & White Content 00:09:00 Food Content 00:06:00 Personal Branding - Part 1 00:06:00 Personal Branding - Part 2 00:04:00 Content Striking Colors - Part 1 00:04:00 Content Striking Colors - Part 2 00:05:00 Facebook Ads Introduction 00:01:00 Framing Facebook Ads & Quality Standards 00:06:00 Colorful Product Ad - Part 1 00:07:00 Colorful Product Ad - Part 2 00:05:00 Colorful Product Ad - Part 3 00:07:00 Colorful Product Ad - Part 4 00:06:00 The question of stock photos & freebies in FB ads 00:05:00 Vector Based Ad - Part 1 00:06:00 Vector Based Ad - Part 2 00:07:00 Vector Based Ad - Part 3 00:06:00 Vector Based Ad - Part 4 00:05:00 The Pros and Cons of People-based Facebook ads 00:06:00 People-Based Facebook Ad - Part 1 00:07:00 People-Based Facebook Ad - Part 2 00:06:00 People-Based Facebook Ad - Part 3 00:06:00 Best Facebook Ad Template - The Foundation 00:04:00 Best Facebook Ad Template - The Details 00:07:00 Conclusions 00:01:00 Business Cards Introduction 00:03:00 Colorful Business card for the CEO - The essentials 00:06:00 Colorful Business card for the CEO - The details 00:06:00 Colorful Business card for the CEO - Beautiful Icons 00:07:00 What do 'simple' and 'clean' mean? 00:07:00 Personal Branding Business Card 00:07:00 Business Card Best Design Practices 00:06:00 Corporate Business Card - Foundation 00:07:00 Corporate Business Card - Icon Design 00:08:00 Design Beautiful CVs (Resumes) CV (Curriculum Vitae) Designs in Today's Market 00:04:00 Deciding on a CV style 00:04:00 Setting the foundation of the CV 00:07:00 Choosing a typeface - really important! 00:07:00 Rocking Typography 00:05:00 Gorgeous icons for your CV 00:06:00 Staying consistent in your design 00:05:00 Negative space in a CV design 00:06:00 Creating a timeline for your CV 00:06:00 Final Thoughts for the Clean CV Project 00:01:00 Beautiful CV Design Creative CV Design 00:05:00 Modern Typography for a Creative CV 00:06:00 Use Freepik to make your CV stand out! 00:07:00 How to adjust vectors and add detailed icons 00:07:00 Fine-tuning the CV 00:06:00 The last 10% that makes all the differences! 00:06:00 Newsletters Newsletters in today's market 00:03:00 Newsletter styles 00:06:00 Colorful Newsletter in Mailchimp & Photoshop 00:06:00 Create a catchy newsletter hero-element in Photoshop 00:06:00 Adding extra details 00:04:00 The most important element: the CTA 00:06:00 Create effective layouts in Mailchimp 00:06:00 Inserting new content in Mailchimp 00:05:00 Balancing graphics with content 00:08:00 Design overview 00:03:00 Animated Newsletters Animated Newsletter in Mailchimp & Photoshop 00:05:00 Create the product presentation in Photoshop 00:05:00 Animating the product presentation - Method #1 00:07:00 Animating the product presentation - Method #2 00:05:00 Create the call to action 00:04:00 Creating a gift design for the newsletter in Photoshop 00:06:00 Animating the gift box - the lid 00:05:00 Animating the gift box - the stars & text 00:05:00 Graphic Design Analysis with Chris Barin Introduction 00:04:00 Mazda 3 Launch Ad 00:06:00 Travel Agency Templates - Good or bad? 00:06:00 Original Design versus Templates 00:07:00 Hiring People Through Beautiful Ads 00:06:00 Premium Office Building Ad - Shocking! 00:05:00 Huge Telecom Company Blunder! 00:06:00 50% for 5% 00:09:00 The reason why most designs are cluttered 00:06:00 Clichés and Stereotypes in Graphic Design 00:04:00 Printed Design: Indoor Ad Banner Introduction 00:03:00 Everything's about the Style Guide 00:05:00 Indoor Ad Banner: Laying things out 00:06:00 Indoor Ad Banner: Typography & Layout 00:07:00 Indoor Ad Banner: Styling 00:08:00 Indoor Banner: Final touches & Conclusions 00:05:00 Bonus: Create an indoor ad banner mockup 00:05:00 Section conclusions 00:01:00 Printed Design: Product Catalogue Introduction 00:02:00 Set up the catalogue project in Photoshop 00:06:00 Styling the cover of the catalogue 00:08:00 Fine-tuning the cover 00:06:00 Add something extra to the cover 00:08:00 Interior page style: Typography 00:08:00 Interior page style: Layout 00:06:00 Styling large amounts of text 00:11:00 Interior pages overview 00:07:00 Conclusions 00:02:00 Logo Design The Truth About Logo Design 00:04:00 Should you design logos as a freelancer? 00:08:00 Creating logos in Photoshop 00:06:00 The complexity behind a logo 00:04:00 Gathering information 00:06:00 Worst techniques for logo design 00:05:00 Best techniques for logo design 00:06:00 Final Thoughts Final Thoughts 00:02:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

🚀 Unlock the Power of Data with Our Machine Learning Course! 🤖 Are you ready to dive into the revolutionary world of Machine Learning? Welcome to our comprehensive course designed to equip you with the skills and knowledge needed to harness the potential of data-driven decision-making. 🎓 Machine Learning has rapidly emerged as one of the most transformative technologies of the 21st century. From powering intelligent virtual assistants to revolutionizing healthcare diagnostics, its applications are boundless. With our expertly crafted course, you'll embark on a journey that will demystify the complexities of Machine Learning and empower you to leverage its capabilities for diverse purposes. 💡 Why Machine Learning? In today's data-driven world, organizations across industries are seeking professionals who can extract actionable insights from vast amounts of data. Machine Learning offers the tools and techniques necessary to analyze complex datasets, identify patterns, and make predictions with unprecedented accuracy. By mastering Machine Learning, you'll gain a competitive edge in the job market and position yourself as a valuable asset to any organization. 📈 What You'll Learn: Our Machine Learning course covers a wide array of topics, including: Fundamentals of Machine Learning algorithms Supervised, unsupervised, and reinforcement learning techniques Data preprocessing and feature engineering Model evaluation and validation Deep learning and neural networks Practical applications and case studies With hands-on projects and real-world examples, you'll not only understand the theory behind Machine Learning but also gain practical experience in implementing algorithms and solving complex problems. Whether you're a beginner or an experienced data professional, our course is tailored to accommodate learners of all levels. 📊 Who is this for? Our Machine Learning course is ideal for: Aspiring data scientists and analysts Software engineers looking to transition into Machine Learning roles Business professionals seeking to leverage data for strategic decision-making Students and academics interested in exploring the forefront of technology No matter your background or experience level, our course provides a solid foundation in Machine Learning principles and techniques, setting you on the path to success in this rapidly evolving field. 🌟 Career Path: By mastering Machine Learning, you'll open doors to a myriad of exciting career opportunities, including: Data Scientist Machine Learning Engineer AI Researcher Business Intelligence Analyst Data Engineer With the demand for Machine Learning professionals on the rise, employers are actively seeking individuals with the skills and expertise to drive innovation and deliver impactful solutions. Whether you're looking to advance your current career or embark on a new professional journey, our course will equip you with the tools and knowledge needed to thrive in today's competitive job market. 💼 FAQ: Q: Is prior programming experience required to enroll in the course? A: While prior programming experience can be beneficial, our course is designed to accommodate learners of all backgrounds. We provide comprehensive tutorials and resources to help you grasp the fundamentals of programming and get started with Machine Learning. Q: How long does it take to complete the course? A: The duration of the course varies depending on your pace and level of commitment. On average, most learners complete the course within 3 to 6 months. However, you have the flexibility to study at your own pace and revisit materials as needed. Q: Are there any prerequisites for enrolling in the course? A: While there are no strict prerequisites, familiarity with basic mathematics, statistics, and programming concepts can be advantageous. We provide supplementary materials and support to help you build the necessary foundation for success in the course. Q: Will I receive a certificate upon completion of the course? A: Yes, upon successfully completing the course requirements, you'll receive a certificate of completion that validates your proficiency in Machine Learning concepts and techniques. This certificate can enhance your credentials and demonstrate your expertise to potential employers. Q: How does the course structure accommodate working professionals? A: Our course offers flexible scheduling options, allowing you to balance your studies with your professional and personal commitments. With on-demand access to course materials and resources, you can learn at your own convenience and progress at a pace that suits your lifestyle. Don't miss out on the opportunity to unlock your full potential with our Machine Learning course! Enroll today and embark on a transformative journey that will shape the future of your career. 🌐✨ Course Curriculum Module 1_ Introduction to Machine Learning Introduction to Machine Learning 00:00 Module 2_ Linear Regression Linear Regression 00:00 Module 3_ Logistic Regression Logistic Regression 00:00 Module 4_ Decision Trees and Random Forests Decision Trees and Random Forests 00:00 Module 5_ Support Vector Machines (SVMs) Support Vector Machines (SVMs) 00:00 Module 6_ k-Nearest Neighbors (k-NN) k-Nearest Neighbors (k-NN) 00:00 Module 7_ Naive Bayes Naive Bayes 00:00 Module 8_ Clustering Clustering 00:00 Module 9_ Dimensionality Reduction Dimensionality Reduction 00:00 Module 10_ Neural Networks Neural Networks 00:00

Learning Objectives Introduction , Building a Basic InDesign Document , Customizing the Workspace , Modifying the Layout , Understanding Pages Panel , Working with Text , Formatting Text , Working with Color , Using Styles , Modifying Graphics , Managing Objects and Layers , Adding and Transforming Shapes , Using Effects , Working with Tables , Exporting the Document to Other Formats , Conclusion Pre-Requisites Basic computer skills.  Description This introductory course is designed to introduce students to the basic functionality and user interface of Adobe InDesign CC. In this course, Students will learn to navigate InDesign, build documents, add text and graphics, and customize the workspace. Students will also learn to modify the layout, manage pages, modify text, modify graphics, work with color, apply effects, and add and transform shapes. In addition, students will learn to manage objects and layers, format text, use styles, work with tables, export documents, and prepare for printing. Introduction to the Course Introduction 00:01:00 Section 01 Overview of InDesign 00:03:00 Touring the InDesign Interface 00:10:00 Customizing Preferences 00:09:00 Building a Document 00:09:00 Advanced Document Settings 00:09:00 Adding Graphics 00:06:00 Adding Text 00:03:00 Section 02 Using Panels and Workspace Presets 00:10:00 Document Views 00:08:00 Understanding the Control Panel 00:04:00 Section 03 Changing the Document Setup 00:06:00 Section 04 Adding, Moving, and Deleting Pages 00:06:00 Using Master Pages 00:10:00 Section 05 Selecting Text 00:03:00 Understanding Text Frame Options 00:09:00 Importing Text 00:06:00 Threading Text 00:05:00 Using Special Characters 00:10:00 Using Spell Check 00:07:00 Using the Story Editor 00:04:00 Section 06 Character Formatting 00:11:00 Advanced Character Formatting 00:10:00 Paragraph Formatting 00:10:00 Section 07 Basics of Color 00:06:00 Working with Swatches 00:08:00 Creating Swatches 00:08:00 Making Spot Color Swatches 00:03:00 Working with the Color Panel 00:05:00 Creating and Using Gradients 00:08:00 Section 08 Basics of Style 00:01:00 Managing Paragraph Styles 00:10:00 Managing Character Styles 00:05:00 Using Object Styles 00:08:00 Section 09 Defining Graphic Types 00:07:00 Placing Multiple Graphics 00:04:00 Selecting Graphics 00:05:00 Fitting Options 00:07:00 Updating Graphics 00:07:00 Placing Photoshop and Illustrator Files 00:05:00 Section 10 Managing Layers 00:10:00 Aligning and Grouping Objects 00:06:00 Wrapping Text Around an Object 00:07:00 Section 11 Adding Vector Shapes 00:08:00 Drawing Vector Lines 00:08:00 Selecting and Moving Frames 00:07:00 Scaling Arrowheads 00:05:00 Section 12 Using the Effects Panel 00:08:00 Using the Blend Modes 00:04:00 Adding and Removing Effects 00:03:00 Section 13 Creating Tables 00:10:00 Formatting Tables and Cells 00:08:00 Using Table and Cell Styles 00:08:00 Section 14 Preflighting your Document 00:09:00 Packaging your Document 00:09:00 Printing your Document 00:09:00 Converting to PDF 00:06:00 Course Recap Recap 00:01:00 Final Exam Final Exam - Adobe InDesign CC Beginner 00:20:00

This Python Machine Learning online instructor led course is an excellent introduction to popular machine learning algorithms. Python Machine Learning 2-day Course Prerequisites: Basic knowledge of Python coding is a pre-requisite. Who Should Attend? This course is an overview of machine learning and machine learning algorithms in Python SciKitLearn. Practical: We cover the below listed algorithms, which is only a small collection of what is available. However, it will give you a good understanding, to plan your Machine Learning project We create, experiment and run machine learning sample code to implement a short selected but representative list of available the algorithms. Course Outline: Supervised Machine Learning: Classification Algorithms: Naive Bayes, Decision Tree, Logistic Regression, K-Nearest Neighbors, Support Vector Machine Regression Algorithms: Linear, Polynomial Unsupervised Machine Learning: Clustering Algorithms: K-means clustering, Hierarchical Clustering Dimension Reduction Algorithms: Principal Component Analysis Latent Dirichlet allocation (LDA) Association Machine Learning Algorithms: Apriori, Euclat Other machine learning Algorithms: Ensemble Methods ( Stacking, bagging, boosting ) Algorithms: Random Forest, Gradient Boosting Reinforcement learning Algorithms: Q-Learning Neural Networks and Deep Leaning Algorithms: Convolutional Network (CNN) Data Exploration and Preprocessing: The first part of a Machine Learning project understands the data and the problem at hand. Data cleaning, data transformation and data pre-processing are covered using Python functions to make data exploration and preprocessing relatively easy. What is included in this Python Machine Learning: Python Machine Learning Certificate on completion Python Machine Learning notes Practical Python Machine Learning exercises and code examples After the course, 1 free, online session for questions or revision Python Machine Learning. Max group size on this Python Machine Learning is 4. Refund Policy No Refunds

Master the fundamentals of electrical 3 phase power transformers with our comprehensive course. Gain practical insights into transformer construction, protection, and operation for a successful career in electrical engineering.

Adobe Illustrator Certification Looking to master Adobe Illustrator? Our online course based in Singapore is the perfect solution for you! Designed to cater to both beginners and advanced users, our course covers all aspects of Adobe Illustrator from the basics to the more advanced techniques. Our team of experienced instructors will guide you through the course, providing you with personalized attention to ensure that you receive the most out of your learning experience. Our online course platform allows you to learn at your own pace and from the comfort of your own home. You will have access to a wide range of resources including video tutorials, practice exercises, and interactive quizzes to reinforce your learning. By the end of the course, you will have developed a solid understanding of Adobe Illustrator and the skills needed to create professional designs. You will also receive a certificate of completion, which will demonstrate your proficiency in the software to potential employers. Join our online Adobe Illustrator course in Singapore today and unleash your creativity! In this course, you will learn: Introduction to Adobe Illustrator and its interface Basic and advanced tools and features of Adobe Illustrator Techniques for creating vector graphics, illustrations, and logos Color theory and typography in design How to manipulate and edit images using Adobe Illustrator Designing for print and digital media Tips and tricks for efficient workflow and time-saving techniques Best practices for creating professional designs Developing a portfolio to showcase your work and skills Join our online course today to start your journey towards mastering Adobe Illustrator! Course Benefits: Learn at your own pace and from the comfort of your own home Access to a wide range of resources including video tutorials, practice exercises, and interactive quizzes to reinforce your learning Personalized attention and guidance from experienced instructors Develop a solid understanding of Adobe Illustrator and the skills needed to create professional designs Receive a certificate of completion, which will demonstrate your proficiency in the software to potential employers Improve your job prospects and career opportunities in the graphic design and creative industries Build a portfolio of work to showcase your skills and attract potential clients or employers Join a community of like-minded individuals who are passionate about graphic design and Adobe Illustrator Stay up-to-date with the latest trends and techniques in graphic design and Adobe Illustrator

Adobe InDesign is the industry-leading DTP software for designing and layout of professional documents for the web, print, as well as for mobile devices such as tablets or smartphones. If you are one of them who are interested in digital publishing then this Adobe InDesign CC Introduction will be the perfect starting point for you! You will learn the fundamentals of InDesign as we guide you through this comprehensive introduction to the leading desktop-publishing program. You will learn how to create and export attractive, simple documents. The course will teach you how to combine text and graphics to produce output that is ready to use straight away. You will learn to add consistency through the use of paragraph and character styles. You will grasp how quick and easy it is to create documents for the web and for print, including how to produce professional PDF files. In addition, you will learn to manage objects and layers, format text, use styles, work with tables, export documents, and prepare for printing. What Will I Learn? Build a basic InDesign document Customize the workspace Modify the layout Manage pages Modify text Modify graphics Work with color Use effects Add and transform shapes Manage objects and layers Format text Use styles Work with tables Export a document to other formats Requirements Basic computer skills Who is the target audience? Any student wishing to get a solid understand of the basics of Adobe InDesign CC. Introduction Introduction 00:01:00 Building a Basic InDesign Document Overview of InDesign 00:03:00 Touring the InDesign Interface 00:10:00 Customizing Preferences 00:09:00 Building a document 00:09:00 Advanced Document Settings 00:09:00 Adding Graphics 00:06:00 Adding Text 00:03:00 Customizing the Workspace Using Panels and Workspace Presets 00:10:00 Document Views 00:08:00 Understanding the Control Panel 00:04:00 Managing Pages Adding, Moving, and Deleting Pages 00:06:00 Using Master Pages 00:10:00 Modifying Text Selecting Text 00:03:00 Understanding Text Frame Options 00:09:00 Importing Text 00:06:00 Threading Text 00:05:00 Using Special Characters 00:10:00 Using Spell Check 00:07:00 Using the Story Editor 00:04:00 Modifying Graphics Defining Graphic Types 00:07:00 Placing Multiple Graphics 00:04:00 Selecting Graphics 00:05:00 Fitting Options 00:07:00 Updating Graphics 00:07:00 Placing Photoshop and Illustrator Files 00:05:00 Working with Color Basics of Color 00:06:00 Working with Swatches 00:08:00 Creating Swatches 00:08:00 Making Spot Color Swatches 00:03:00 Working with the Color Panel 00:05:00 Creating and Using Gradients 00:08:00 Using Effects Using the Effects Panel 00:08:00 Using the Blend Modes 00:04:00 Adding and Removing Effects 00:03:00 Adding and Transforming Shapes Adding Vector Shapes 00:08:00 Drawing Vector Lines 00:08:00 Selecting and Moving Frames 00:07:00 Scaling Arrowheads 00:05:00 Managing Objects and Layers Managing Layers 00:10:00 Aligning and Grouping Objects 00:06:00 Wrapping Text around an Object 00:07:00 Formatting Text Character Formatting 00:11:00 Advanced Character Formatting 00:10:00 Paragraph Formatting 00:10:00 Using Styles Basics of Styles 00:01:00 Managing Paragraph Styles 00:10:00 Managing Character Styles 00:05:00 Using Object Styles 00:08:00 Working with Tables Creating Tables 00:10:00 Formatting Tables and Cells 00:08:00 Using Table and Cell Styles 00:08:00 Exporting the Document to Other Formats Preflighting your document 00:09:00 Packaging your Document 00:10:00 Printing your Document 00:09:00 Converting to PDF 00:06:00 Conclusion Course Recap 00:01:00

Are you interested in a career in ethical hacking? If so, then the CompTIA PenTest+ Ethical Hacking Course is for you! This course will teach you everything you need to know to become a professional penetration tester.

Java is one of the most popular programming languages. Companies such as Facebook, Microsoft, and Apple all want Java.