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This video course gives you an insight into applied data science concepts using Python. With the help of interesting activities and hands-on coding exercises, you'll learn about data science, extended data analysis, linear and logistic regression, data visualization, k-means clustering, and decision trees.

Course Overview This course, "Logo Animation Fundamentals," provides a comprehensive introduction to the essential concepts of logo animation. It covers the tools, techniques, and principles needed to create impactful animated logos. Learners will explore animation software, with a focus on the use of effects to bring logos to life, making them engaging and visually striking. By the end of the course, learners will be able to produce high-quality logo animations that can enhance branding efforts across digital platforms. The course also offers valuable insights into industry practices, enabling learners to develop a solid foundation in this creative field. Course Description In this course, learners will delve into the basics of logo animation, starting with an understanding of the key principles of animation. They will explore the process of animating logos using advanced tools such as Adobe After Effects and the Saber plugin. The course also covers the history and evolution of animation, providing context to its current use in modern branding. With each module, learners will enhance their skills in design and animation, enabling them to create dynamic and professional logo animations. This course is ideal for those who wish to incorporate animation into branding or add this valuable skill to their creative toolkit. Learners will gain a thorough understanding of logo animation techniques and develop a portfolio-ready project. Course Modules: Module 01: Introduction Overview of logo animation Importance of logo animation in branding Module 02: Logo Animation Basic principles of animation Tools for animating logos Exploring different animation styles Module 03: Logo Animation Using Saber Introduction to the Saber plugin Step-by-step guide to creating glowing logo effects Integrating advanced effects into logo animation Module 04: Background of Animation The history and evolution of animation The role of animation in modern media Module 05: Outro Key takeaways and next steps for further learning Final thoughts and project wrap-up (See full curriculum) Who is this course for? Individuals seeking to enhance their branding skills with animation. Professionals aiming to expand their expertise in motion graphics and design. Beginners with an interest in animation and digital design. Marketing and branding specialists looking to integrate animated logos into campaigns. Career Path Motion Graphic Designer Animation Specialist Branding Consultant Visual Designer Digital Marketing Professional

Course Overview "JavaScript for Everyone" offers a comprehensive introduction to one of the most essential programming languages used in web development. This course covers the fundamental concepts of JavaScript, allowing learners to build dynamic, interactive websites. Students will gain a solid understanding of core JavaScript principles such as variables, loops, functions, and objects, as well as more advanced topics like cookies, page redirection, and error handling. By the end of the course, learners will be equipped with the skills to implement JavaScript in real-world projects, enhancing the interactivity and functionality of websites. Course Description This course provides an in-depth exploration of JavaScript, focusing on both basic and advanced topics. It begins with an introduction to key programming concepts before diving into areas such as conditional statements, functions, and events. Learners will discover how to work with JavaScript objects, arrays, and built-in objects like Number, Boolean, and String. Additionally, the course covers important aspects like page redirection, pop-up boxes, and validation techniques. By the end, students will be proficient in JavaScript debugging, error handling, and using regular expressions, with a clear understanding of how to apply JavaScript in web development projects. Course Modules Module 01: Introduction Module 02: Basic Concepts on JavaScript Module 03: Conditional and Switch Statements Module 04: JS Functions Module 05: JS Events Module 06: JS Cookies Module 07: JS Page Redirection Module 08: JS Popup Boxes Module 09: JS Void Module 10: JS Print Module 11: JS Objects Module 12: JS Number Object Module 13: JS Boolean Object Module 14: JS String Object Module 15: JS Arrays Module 16: JS Dates Module 17: JS Math and Reg Exp Module 18: JS Browsers and Summary Module 19: JS Debugging Module 20: JS Errors Module 21: JS Validations (See full curriculum) Who is this course for? Individuals seeking to develop web development skills. Professionals aiming to enhance their programming knowledge. Beginners with an interest in web development or JavaScript. Anyone looking to gain a foundational understanding of programming languages. Career Path Web Developer Front-End Developer JavaScript Developer Software Engineer Full-Stack Developer Web Application Developer

Course Overview This comprehensive Data Analytics course provides an in-depth exploration of data analysis, covering the essential principles and techniques used to extract valuable insights from data. Learners will engage with core concepts, such as data mining, statistical analysis, and visualisation, enabling them to make informed decisions and drive business outcomes. By the end of the course, participants will have the skills to analyse and interpret data, apply analytical tools effectively, and present their findings clearly. This course equips learners with the necessary tools to understand and leverage data in various professional settings, adding significant value to their career prospects. Course Description The Data Analytics course covers a wide range of topics, including the fundamentals of data analysis, statistical methods, and various data visualisation techniques. Learners will explore essential tools such as Excel and specialised software, while gaining a deep understanding of how to collect, store, and process data effectively. Emphasis is placed on developing the analytical mindset required to interpret data accurately and draw actionable insights. This course is designed to ensure learners can confidently navigate the world of data analytics and apply their knowledge in diverse industries, enhancing their problem-solving and decision-making abilities. Course Modules Module 01: Introduction to the World of Data Module 02: Basics of Data Analytics Module 03: Statistics for Data Analytics Module 04: Actions Taken in the Data Analysis Process Module 05: Gathering the Right Information Module 06: Storing Data Module 07: Data Mining Module 08: Excel for Data Analytics Module 09: Tools for Data Analytics Module 10: Data-Analytic Thinking Module 11: Data Visualisation That Clearly Describes Insights Module 12: Data Visualisation Tools (See full curriculum) Who is this course for? Individuals seeking to enhance their analytical skills for data-driven decision-making. Professionals aiming to transition into data analytics or enhance their data-related roles. Beginners with an interest in understanding data and its applications across industries. Business professionals seeking to leverage data for strategic growth. Career Path Data Analyst Business Intelligence Analyst Data Scientist Market Research Analyst Operations Analyst Financial Analyst Business Analyst Data Visualisation Specialist

48-Hour Knowledge Knockdown! Prices Reduced Like Never Before! Unlock the power of Data Analyst (Data Analytics) with our cutting-edge Data Analyst (Data Analytics) course and transform raw information into strategic insights of Data Analyst (Data Analytics) that drive success. Get Free 1 QLS Endorsed Course with Certificate & 10 Additional CPD Accredited Courses In A Single Payment. This Data Analyst (Data Analytics) Bundle Package includes: Course 01: Diploma in Data Analysis at QLS Level 5 10 Additional CPD Accredited Premium Courses related to Data Analyst (Data Analytics) - Course 01: Data Analytics with Tableau Course 02: Data Science & Machine Learning with R Course 03: Excel Pivot table for Data analytics Course 04: JavaScript Functions for Data Analyst Course 05: Data analytics with Excel Course 06: Mastering SQL Programming for Data Analyst Course 07: Google Data Studio Course 08: Business Intelligence and Data Mining for Data Analyst Course 09: GDPR Training Course 10: Learn Programming with Python Learning outcome of this Data Analyst (Data Analytics) Bundle: Apply data analyst techniques to modify worksheets effectively. Utilise data analyst strategies for working with lists. Demonstrate proficiency in analyzing data as a data analyst. Visualize data using charts as a data analyst. Employ PivotTables and Pivot Charts for complex Data Analyst Manage multiple worksheets and workbooks efficiently as a data analyst. Use lookup functions and formula auditing for accurate Data Analyst Why Prefer This Data Analyst (Data Analytics) Bundle? FREE certificate on Data Analyst (Data Analytics)accredited by CPDQS Get instant access to this Data Analyst (Data Analytics) course. Learn Data Analyst (Data Analytics) from anywhere in the world Data Analyst (Data Analytics) is affordable and simple to understand Data Analyst (Data Analytics) is an entirely online, interactive lesson with voiceover audio Lifetime access to the Data Analyst (Data Analytics) bundle materials Data Analyst (Data Analytics) comes with 24/7 tutor support Free assessments available with Data Analyst (Data Analytics) Get a free student ID card! with Data Analyst (Data Analytics) Assessment Process of Data Analyst (Data Analytics) Course: You have to complete the assignment questions given at the end of the Data Analyst (Data Analytics) course and score a minimum of 60% to pass each exam, after that you can claim your certificate CPD 100 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This course is for whoever wishes to gain a better understanding of Data Analyst (Data Analytics) Requirements You will not need any prior background or expertise to take this Data Analyst (Data Analytics) Career path Data Analyst Retail Data Analyst Statistical Data Analyst Certificates CPD Accredited e-Certificate Digital certificate - Included Diploma in Data Analysis at QLS Level 5 Hard copy certificate - Included

Gain the solid skills and knowledge to kickstart a successful career and learn from the experts with this

Take a step forward to your career in programming by obtaining easily applicable knowledge about C# Console and

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Gain the skills and credentials to kickstart a successful career and learn from the experts with this step-by-step

Gain the solid skills and knowledge to kickstart a successful career and learn from the experts with this