371 Data Visualization courses

Have you ever been intrigued by the power behind the most revolutionary software applications? Do you wonder how these applications transform from mere ideas into functional products that ease life's tasks? Dive deep into the world of software development with our comprehensive "Software Development Career Track" bundle of twenty courses! Within this bundle, you'll traverse from the fundamentals of Coding with Scratch to advanced JavaScript Python and even delve into Game Development using Unity 3D. Explore the wonders of Web Design, dive into Data Analytics with SQL, and embrace the intricacies of Kotlin, the Android coding bible. There's no stone left unturned, with courses covering the depths of PHP, the world of AWS SageMaker Canvas, and mastering the essentials of Linux Security. Your software development journey starts here. Unlock the future of software development today! Embark on a journey that transforms your curiosity into skills. Don't just dream, build. Enrol now and shape tomorrow's digital world! Software Development Courses List: Course 1: Coding with Scratch Course 2: C++ Development: The Complete Coding Guide Course 3: Basic HTML 5 Course 4: JavaScript Advanced Training Course 5: Python Advanced Training Course 6: The Complete SQL from Scratch: Bootcamp Course 7: Easy to Advanced Data Structures Course 8: SQL for Data Science, Data Analytics and Data Visualization Course 9: Learn Web Development from Scratch Course 10: Web Design for Beginners: Build Websites in HTML & CSS Course 11: Kotlin Masterclass Programming Course: Android Coding Bible Course 12: jQuery Masterclass Course: JavaScript and AJAX Coding Bible Course 13: Secure Programming of Web Applications - Developers and TPMs Course 14: Developing Game in Unity 3D Course 15: Game Development using Cocos2d-x v3 C++ Course 16: PHP for Beginners 2023 Guide: Develop an ECommerce Store Course 17: PHP for Beginners: PDO Crash Course 2021 Course 18: Machine Learning Model Using AWS SageMaker Canvas Course 19: WordPress Security Mastery Course 20: Linux Security and Hardening Learning Outcomes: Gain a foundational understanding of programming languages like Scratch, C++, HTML5, JavaScript, Python, and Kotlin. Understand the intricacies of web development and design, ranging from basic website development to e-commerce platform creation. Delve into data structures, SQL's utility in data science, analytics, and visualisation. Master game development techniques using Unity 3D and Cocos2d-x v3 C++. Acquire knowledge on machine learning with AWS SageMaker Canvas. Grasp essential security aspects from WordPress protection to Linux hardening. This dynamic Software Development Career Track bundle serves as a ladder, guiding you through the steps of software development. Starting with the foundational elements, you're introduced to Scratch's simplistic yet effective world, gradually escalating to the dynamic languages like C++ and Kotlin. As you advance, delve into the vibrant realm of web development and design, unlocking the potential to craft and curate seamless websites using HTML & CSS, paired with interactive features facilitated by JavaScript and jQuery. Transition from web design to data with courses focusing on SQL's various applications, be it in straightforward data structures or the vast domains of science, analytics, and visualisation. But software development isn't just about creating - it's also about protecting. Hence, our curated content ensures you grasp the nuances of securing digital entities, from WordPress platforms to entire Linux systems. And for those with a passion for animation and virtual worlds, the game development courses promise a thrilling voyage into Unity 3D and Cocos2d-x v3 C++ realms. CPD 220 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Aspiring software developers keen on understanding the broader spectrum of the field. Web designers and developers aiming to expand their skill set. Data enthusiasts wanting to harness the power of SQL in analytics. Game developers aspiring to master tools like Unity 3D. IT professionals keen on deepening their knowledge in security and hardening. Requirements Without any formal requirements, you can delightfully enrol in this course. Career path Software Developer Web Developer Data Analyst Game Developer Security Specialist WordPress Developer Linux System Administrator Certificates CPD Certificate Of Completion Digital certificate - Included 20 Digital Certificates Are Included With This Bundle CPD Quality Standard Hardcopy Certificate (FREE UK Delivery) Hard copy certificate - £9.99 Hardcopy Transcript: £9.99

Data dashboards provide key information to stakeholders so that they can make informed decisions. While there are plenty of software solutions for building these essential data products, there is much less guidance on how to design dashboards to meet the diverse needs of users.  This course is for anyone who is building or implementing dashboards, and wants to know more about design principles and best practice. You could be using business intelligence software (such as Power BI or Tableau), or implementing bespoke solutions.  The course will give your team the ability to evaluate user needs and levels of understanding, make informed decisions about chart selections, and make effective use of interactivity dynamic data.  We’ll work with you before the course to ensure that we understand your organisation and what you’re hoping to achieve.  Sample learning content  Session 1: Data with a purpose Understanding the different types of dashboard. Information overload and other common dashboard pitfalls. Assessing user needs and levels of data fluency. Session 2: Planning a dashboard Assessing diverse user needs and levels of data fluency. Taking a User Experience (UX) approach to design and navigation. Applying an interative and collaborative approach to onboarding. Session 3: Graphs, charts and dials  Understanding how graphical perception informs chart choices. Making intelligent design choices to help users explore. Design principles for layout and navigation. Session 4: Using interactivity  Making effective use of filters to slice and dice data sets. Using layers of information to enable drilldown data exploration. Complenting dashboards with automated alerts and queries. Delivery We deliver our courses over Zoom, to maximise flexibility. The training can be delivered in a single day, or across multiple sessions. All of our courses are live and interactive – every session includes a mix of formal tuition and hands-on exercises. To ensure this is possible, the number of attendees is capped at 16 people.  Tutor Alan Rutter is the founder of Fire Plus Algebra. He is a specialist in communicating complex subjects through data visualisation, writing and design. He teaches for General Assembly and runs in-house training for public sector clients including the Home Office, the Department of Transport, the Biotechnology and Biological Sciences Research Council, the Health Foundation, and numerous local government and emergency services teams. He previously worked with Guardian Masterclasses on curating and delivering new course strands, including developing and teaching their B2B data visualisation courses. He oversaw the iPad edition launches of Wired, GQ, Vanity Fair and Vogue in the UK, and has worked with Condé Nast International as product owner on a bespoke digital asset management system for their 11 global markets. Testimonial “Alan was great to work with, he took us through the concepts behind data visualisation which means our team is now equipped for the future. He has a wide range of experience across the topic that is delivered in a clear, concise and friendly manner. We look forward to working with Alan again in the future.” John Masterson | Chief Product Officer | ImproveWell

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This course aims to teach you how to use Python for machine learning and data science.

Duration 1 Days 6 CPD hours This course is intended for This course is intended for: Data platform engineers Solutions architects IT professionals Overview In this course, you will learn to: Apply data lake methodologies in planning and designing a data lake Articulate the components and services required for building an AWS data lake Secure a data lake with appropriate permission Ingest, store, and transform data in a data lake Query, analyze, and visualize data within a data lake In this course, you will learn how to build an operational data lake that supports analysis of both structured and unstructured data. You will learn the components and functionality of the services involved in creating a data lake. You will use AWS Lake Formation to build a data lake, AWS Glue to build a data catalog, and Amazon Athena to analyze data. The course lectures and labs further your learning with the exploration of several common data lake architectures. Module 1: Introduction to data lakes Describe the value of data lakes Compare data lakes and data warehouses Describe the components of a data lake Recognize common architectures built on data lakes Module 2: Data ingestion, cataloging, and preparation Describe the relationship between data lake storage and data ingestion Describe AWS Glue crawlers and how they are used to create a data catalog Identify data formatting, partitioning, and compression for efficient storage and query Lab 1: Set up a simple data lake Module 3: Data processing and analytics Recognize how data processing applies to a data lake Use AWS Glue to process data within a data lake Describe how to use Amazon Athena to analyze data in a data lake Module 4: Building a data lake with AWS Lake Formation Describe the features and benefits of AWS Lake Formation Use AWS Lake Formation to create a data lake Understand the AWS Lake Formation security model Lab 2: Build a data lake using AWS Lake Formation Module 5: Additional Lake Formation configurations Automate AWS Lake Formation using blueprints and workflows Apply security and access controls to AWS Lake Formation Match records with AWS Lake Formation FindMatches Visualize data with Amazon QuickSight Lab 3: Automate data lake creation using AWS Lake Formation blueprints Lab 4: Data visualization using Amazon QuickSight Module 6: Architecture and course review Post course knowledge check Architecture review Course review Additional course details: Nexus Humans Building Data Lakes on AWS training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Building Data Lakes on AWS course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Overview This comprehensive course on Data Science & Machine Learning with R will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Data Science & Machine Learning with R comes with accredited certification, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this Data Science & Machine Learning with R. It is available to all students, of all academic backgrounds. Requirements Our Data Science & Machine Learning with R is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 10 sections • 69 lectures • 22:07:00 total length •Data Science and Machine Learning Introduction: 00:03:00 •What is Data Science: 00:10:00 •Machine Learning Overview: 00:05:00 •Who is This Course for: 00:03:00 •Data Science and Machine Learning Marketplace: 00:05:00 •Data Science and Machine Learning Job Opportunities: 00:03:00 •Getting Started: 00:11:00 •Basics: 00:06:00 •Files: 00:11:00 •RStudio: 00:07:00 •Tidyverse: 00:05:00 •Resources: 00:04:00 •Unit Introduction: 00:30:00 •Basic Type: 00:09:00 •Vector Part One: 00:20:00 •Vectors Part Two: 00:25:00 •Vectors - Missing Values: 00:16:00 •Vectors - Coercion: 00:14:00 •Vectors - Naming: 00:10:00 •Vectors - Misc: 00:06:00 •Creating Matrics: 00:31:00 •List: 00:32:00 •Introduction to Data Frames: 00:19:00 •Creating Data Frames: 00:20:00 •Data Frames: Helper Functions: 00:31:00 •Data Frames Tibbles: 00:39:00 •Intermediate Introduction: 00:47:00 •Relational Operations: 00:11:00 •Conditional Statements: 00:11:00 •Loops: 00:08:00 •Functions: 00:14:00 •Packages: 00:11:00 •Factors: 00:28:00 •Dates and Times: 00:30:00 •Functional Programming: 00:37:00 •Data Import or Export: 00:22:00 •Database: 00:27:00 •Data Manipulation in R Introduction: 00:36:00 •Tidy Data: 00:11:00 •The Pipe Operator: 00:15:00 •The Filter Verb: 00:22:00 •The Select Verb: 00:46:00 •The Mutate Verb: 00:32:00 •The Arrange Verb: 00:10:00 •The Summarize Verb: 00:23:00 •Data Pivoting: 00:43:00 •JSON Parsing: 00:11:00 •String Manipulation: 00:33:00 •Web Scraping: 00:59:00 •Data Visualization in R Section Intro: 00:17:00 •Getting Started: 00:16:00 •Aesthetics Mappings: 00:25:00 •Single Variable Plots: 00:37:00 •Two Variable Plots: 00:21:00 •Facets, Layering, and Coordinate Systems: 00:18:00 •Styling and Saving: 00:12:00 •Creating with R Markdown: 00:29:00 •Introduction to R Shiny: 00:26:00 •A Basic R Shiny App: 00:31:00 •Other Examples with R Shiny: 00:34:00 •Machine Learning Part 1: 00:22:00 •Machine Learning Part 2: 00:47:00 •Starting a Data Science Career Section Overview: 00:03:00 •Data Science Resume: 00:04:00 •Getting Started with Freelancing: 00:05:00 •Top Freelance Websites: 00:05:00 •Personal Branding: 00:05:00 •Importance of Website and Blo: 00:04:00 •Networking Do's and Don'ts: 00:04:00

This one day course has been developed to teach essential real estate financial modelling theory, functions and formulas to individuals working in the real estate sector.

The course covers data science and machine learning with R.

Do you want to learn Tableau and crack the Tableau Certified Data Analyst Exam? Then this course is for you! This course is designed for absolute beginners, and it is well equipped with detailed video tutorials, exam notes PDF, tips and tricks, and full practice tests in exam format along with solutions.