296 Data Visualization courses in London delivered On Demand

Learning and applying new visual techniques can often be a daunting experience. This is especially true if you need to generate and code data visualizations yourself. This course focuses specifically on how to create many different types of graphs and all their possible options and sub-options.

This beginner-friendly course takes us on a journey into data visualization. You will learn to transform raw data into stunning visuals using Matplotlib, Seaborn, and Plotly. From charts to dynamic heatmaps, we will master the essentials. Fuel your curiosity, enhance your skills, and communicate insights effectively to become a Python data visualization pro!

Bring data to life with the D3.js data visualization library, and get up to speed with JavaScript, HTML, and CSS to build stunning data visuals

Learn the power of coding with this Master JavaScript with Data Visualization course. With JavaScript being the focus, this program offers comprehensive insights into the heart of web development. The course begins with the basics, setting up your local development environment, and quickly moves on to exploring JavaScript fundamentals like strings, operators, and control flow statements, preparing you for a deep dive into the world of coding.   Unlock your potential as we guide you through JavaScript's crucial aspects, including functions, error handling, and client-side validations. Each module is designed by industry experts, ensuring your understanding aligns with real-world scenarios. The course offers practical examples, and quizzes, fostering a rich learning environment that stimulates engagement and helps to master the topics.   But what sets this course apart is its emphasis on Data Visualization using Google Chart. The integration of JavaScript with Data Visualization introduces you to new and innovative methods to present data in a more interactive and user-friendly format. By the end of the course, you should be proficient in JavaScript and able to design and implement complex data visualisations. Sign up today for a learning journey combining tech knowledge with creative visualisation skills! Learning Outcomes: After completing the JavaScript with Data Visualization course, you should be able to:   Develop a comprehensive understanding of JavaScript fundamentals. Acquire the ability to write and manipulate JavaScript strings and operators. Gain mastery over JavaScript control flow and conditional statements. Learn to implement robust JavaScript functions for diverse applications. Understand JavaScript error handling and client-side validations. Learn to visualise data using Google Chart tools effectively. Gain the ability to create interactive, data-driven web applications. Who is this course for: This JavaScript with Data Visualization course is ideal for:   Aspiring web developers seeking to learn JavaScript. Data analysts interested in expanding their skillset. Web designers aiming to enhance their interactivity skills. Software engineers looking to broaden their coding repertoire. Any tech enthusiast wanting to harness the power of Data Visualization. Certification After studying the course materials of the JavaScript with Data Visualization course, there will be a written assignment test which you can take either during or at the end of the course. After passing the test, you will have a range of certification options. A CPD Accredited PDF Certificate costs £4.99, while a CPD Accredited Hardcopy Certificate is £8.00. Also, a PDF Transcript costs £4.99, and a Hardcopy Transcript is £9.99. Select according to your needs, and we assure timely delivery of your chosen certificate. Requirements This professionally designed JavaScript with Data Visualization course does not require you to have any prior qualifications or experience. It is open to everyone, and you can access the course from anywhere at any time. Just enrol and start learning! Career Path: Upon completion of this JavaScript with Data Visualization course, you can gain the knowledge and skills required to pursue many career paths, such as:   JavaScript Developer: £35,000 - £55,000 Per year. Front-end Developer: £40,000 - £60,000 Per year. Full-Stack Developer: £45,000 - £70,000 Per year. Data Visualization Engineer: £45,000 - £65,000 Per year. Web Application Developer: £40,000 - £60,000 Per year. Software Engineer: £50,000 - £80,000 Per year. Course Curriculum Introduction Getting Started Introduction to Getting Started 00:02:00 Course Curriculum 00:05:00 How to Get Pre-Requisites 00:02:00 Getting Started on Windows, Linux or Mac 00:01:00 How to ask a Great Questions 00:02:00 FAQ's 00:01:00 Setting up Local Development Environment What is JavaScript 00:09:00 Choosing Code Editor 00:03:00 Installing Code Editor (Sublime Text) 00:04:00 Installing Code Editor(Visual Studio Code) 00:07:00 Hello World Program 00:14:00 Getting Output 00:11:00 Summary 00:02:00 JavaScript Fundamentals Introduction 00:02:00 Internal JavaScript 00:13:00 External JavaScript 00:09:00 Inline JavaScript 00:04:00 Async and defer 00:06:00 Variables 00:13:00 Data Types 00:10:00 Numbers 00:06:00 Boolean 00:04:00 Arrays() 00:12:00 Objects 00:06:00 Comments 00:05:00 Summary 00:01:00 JavaScript Strings Introduction 00:02:00 Strings 00:06:00 String Formatting 00:05:00 String Methods 00:12:00 Summary 00:02:00 JavaScript Operators Introduction 00:02:00 Arithmetic operators 00:07:00 Assignment operators 00:03:00 Comparison operators 00:06:00 Logical operators 00:08:00 Summary 00:02:00 JavaScript Conditional Statements Introduction 00:02:00 If-else-if statement 00:04:00 If-else statement 00:05:00 If-else-if statement 00:04:00 Switch-case statement 00:09:00 Summary 00:01:00 JavaScript Control Flow Statements Introduction 00:02:00 While loop 00:09:00 Do-while loop 00:03:00 For loop 00:08:00 Break 00:02:00 Continue 00:03:00 Coding Exercise 00:02:00 Solution for Coding Exercise 00:02:00 Summary 00:02:00 JavaScript Functions Introduction 00:02:00 Creating a Function 00:07:00 Function Call() 00:07:00 Function with parameters 00:05:00 Function Bind() 00:06:00 Summary 00:01:00 Data Visualization (Google Chart) Introduction 00:01:00 How to Use Google chart script 00:04:00 Line Graph chart 00:14:00 Scatter plots chart 00:02:00 Bar chart 00:04:00 3D Pie chart 00:02:00 3D Pie chart 00:02:00 Summary 00:01:00 JavaScript Error Handling Introduction 00:01:00 Try-catch 00:05:00 Try-catch-finally 00:17:00 Summary 00:01:00 JavaScript Client-side Validations Introduction 00:01:00 On Submit Validation 00:09:00 Input Numeric Validation 00:12:00 Login Form Validation 00:05:00 Password Strength Check Validation 00:04:00 Summary 00:01:00

This course first equips you with the fundamentals of Python and then progresses to teach you how to use various libraries such as NumPy, Pandas, Seaborn, Bokeh, and so on. This course contains several mini projects so that, by the end of this course, you will be equipped with the essential tools you need to become a visualization expert.

In this course, you will learn the fundamentals of data visualization in Python using the well-known Matplotlib and Seaborn data science libraries and perform exploratory data analysis (EDA) by visualizing a data set using a variety of charts.

Course Overview Make the most of the plotting and AI capabilities of the world's benchmark programming language by taking this course to create Spatial Data Visualisation and Machine Learning in Python Level 4. Using the intuitive syntax available to you, you will be amazed at the results you can achieve with the power of its libraries and mapping potential for all manner of complex projects. This comprehensive Python tutorial is an excellent way to learn the important and potentially ground-breaking aspects of machine learning. With the benefit of expert guidance and step-by-step training, IT technology, you will be taken from quick installations to complex coding. You will learn how to become proficient with coding capabilities that will put you at the forefront of advanced programming techniques and the aptitude to envisage AI projects that will impress and be used for practical and useful purposes.  This best selling Spatial Data Visualization and Machine Learning in Python Level 4 has been developed by industry professionals and has already been completed by hundreds of satisfied students. This in-depth Spatial Data Visualization and Machine Learning in Python Level 4 is suitable for anyone who wants to build their professional skill set and improve their expert knowledge. The Spatial Data Visualization and Machine Learning in Python Level 4 is CPD-accredited, so you can be confident you're completing a quality training course will boost your CV and enhance your career potential. The Spatial Data Visualization and Machine Learning in Python Level 4 is made up of several information-packed modules which break down each topic into bite-sized chunks to ensure you understand and retain everything you learn. After successfully completing the Spatial Data Visualization and Machine Learning in Python Level 4, you will be awarded a certificate of completion as proof of your new skills. If you are looking to pursue a new career and want to build your professional skills to excel in your chosen field, the certificate of completion from the Spatial Data Visualization and Machine Learning in Python Level 4 will help you stand out from the crowd. You can also validate your certification on our website. We know that you are busy and that time is precious, so we have designed the Spatial Data Visualization and Machine Learning in Python Level 4 to be completed at your own pace, whether that's part-time or full-time. Get full course access upon registration and access the course materials from anywhere in the world, at any time, from any internet-enabled device.  Our experienced tutors are here to support you through the entire learning process and answer any queries you may have via email.

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.

With this course, you'll learn how to connect to the data source in Tableau and use Tableau for data visualization. Along the process, you'll get to grips with Tableau dashboards, explore storytelling with Tableau, and perform actions to share data with others.

Overview: Visualizing Data: Designing Informative Graphics   Welcome to 'Visualizing Data: Designing Informative Graphics,' a comprehensive course designed to equip you with the skills needed to create compelling and informative visualizations from raw data. In today's data-driven world, the ability to effectively communicate insights through visualizations is crucial for professionals across various industries.   Module 1: Introduction to Data Visualization In this module, you'll embark on your journey into the world of data visualization. Understand the importance of data visualization, its applications, and the fundamental principles behind creating impactful visuals.   Module 2: Choosing the Right Visualization Types Discover the diverse range of visualization types available and learn how to select the most suitable ones for different data sets and objectives. Gain insights into when to use bar charts, line graphs, scatter plots, and more.   Module 3: Data Preparation and Cleaning Master the art of preparing and cleaning data for visualization. Learn essential techniques to ensure data accuracy, completeness, and consistency, laying a solid foundation for effective visualization creation.   Module 4: Design Principles for Effective Visualizations Unlock the secrets of designing visually appealing and informative graphics. Explore principles such as color theory, typography, layout, and visual hierarchy to create engaging and user-friendly visualizations.   Module 5: Basic Charts and Graphs Dive into the world of basic charts and graphs, including bar charts, pie charts, histograms, and line graphs. Understand how to construct these fundamental visualizations accurately to convey your message effectively.   Module 6: Advanced Charts and Graphs Take your visualization skills to the next level with advanced chart types such as heatmaps, treemaps, and network diagrams. Explore complex data structures and learn to visualize them in a clear and intuitive manner.   By the end of this course, you'll have the knowledge and confidence to transform raw data into visually compelling stories that drive understanding and decision-making. Whether you're a data analyst, business professional, or aspiring data visualization expert, 'Visualizing Data: Designing Informative Graphics' is your gateway to mastering the art of data visualization. Don't miss out on this opportunity to elevate your skills and make a lasting impact with your data presentations. Enroll now and embark on your journey towards becoming a proficient data visualization practitioner! Course Curriculum Module 1_ Introduction to Data Visualization Introduction to Data Visualization 00:00 Module 2_ Choosing the Right Visualization Types Choosing the Right Visualization Types 00:00 Module 3_ Data Preparation and Cleaning Data Preparation and Cleaning 00:00 Module 4_ Design Principles for Effective Visualizations Design Principles for Effective Visualizations 00:00 Module 5_ Basic Charts and Graphs Basic Charts and Graphs 00:00 Module 6_ Advanced Charts and Graphs Advanced Charts and Graphs 00:00