143 Courses in Belfast delivered Online

The insights gained from data analysis are only truly valuable when you can be clearly expressed to other people – bosses, colleagues, clients, customers, or other stakeholders. In this workshop you’ll learn how to turn raw qualitative or quantitative data into a clear visual story through infographics and data visualization. We'll discuss the key principles for planning an effective visual, look at examples of best (and worst) practice, and learn repeatable and practical design techniques for enhancing the story. We'll also give you an overview of useful tools that will help you turn your idea into a finished infographic or data visualization. You could be conjuring up eye-catching slide decks, building effective reports and dashboards, pitching to investors, or presenting persuasive data to your most important customers.  This is a fully interactive online workshop, so be prepared to join discussions and get hands on with building your own visualisations.  Takeaways Be able to evaluate the elements that make an infographic or visualization effective. Learn quick and repeatable visual tricks for ensuring infographics convey a clear message. Understand how to tailor your approach to different audiences and context. Discover a bunch of free tools and resources to help you build your own visualizations. Understand how online, interactive visualizations work and how to create them. 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.
 Testimonials "Just to say what a great course this was. I have made my first report employing some of the ideas and tools you showed us – to rapturous responses! The next actions are clear for all and they all understood it! Thank you for helping me to organise my data and thoughts, showing how to present the key message up front, and how to keep it simple and focused. Gearing up for another report now!" Kay Anderson | Head of Finance | Mima "We have been using Tableau to display data for some time but knew we could do more to engage our end users. Alan’s training gave us a framework to start thinking about what we wanted to achieve with our visualisations and analysis, and some great tips on how to display information for maximum impact. Alan was an engaging trainer and we found the workshops very energising." Ellen Austin | Senior Data Analyst | London School of Economics

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Data Analyst (Data Analytics) - CPD Certified Have you ever wondered how companies get insights from massive volumes of data to stay competitive and make wise decisions? If so, then participate in our exclusive Data Analytics Course. This Data Analytics Course describes the fundamentals of data, statistics, and an introduction to data analytics. How to get data and where to find it is explained in the Data Analytics Course. Moreover, this Data Analytics Course covers data cleansing, preprocessing, and exploratory data analysis (EDA). Additionally, the Data Analytics Course provides an introduction to Python and Excel for data analytics. This thorough Data Analytics Course includes lessons on data wrangling with Pandas (python) and data visualisation using Matplotlib and Seaborn (python). Enrol in our Data Analytics Course to study the fundamentals of statistical analysis and machine learning. Special Offers of this Data Analyst (Data Analytics) Course Data Analyst (Data Analytics) Course includes a FREE PDF Certificate. Lifetime access to this Data Analyst (Data Analytics) Course Instant access to this Data Analyst (Data Analytics) Course Get FREE Tutor Support from Monday to Friday in this Data Analyst (Data Analytics) Course Courses are included in this Data Analyst (Data Analytics) Course Course 01: Cyber Security Course 02: GDPR Course 03: Business Administration [ Note: Free PDF certificate as soon as completing the Data Analyst (Data Analytics) Course] Course Curriculum of Data Analyst (Data Analytics) - CPD Certified Module 1: Introduction to Data Analytics Module 2: Basics of Data and Statistics Module 3: Data Collection and Sources Module 4: Data Cleaning and Preprocessing Module 5: Exploratory Data Analysis (EDA) Module 6: Introduction to Excel for Data Analytics Module 7: Introduction to Python for Data Analytics Module 8: Data Wrangling with Pandas (Python) Module 9: Data visualisation with Matplotlib and Seaborn (Python) Module 10: Introduction to Basic Statistical Analysis Module 11: Introduction to Machine Learning Module 12: Capstone Project - Exploratory Data Analysis Assessment Method After completing each module of the Data Analyst (Data Analytics) Course, you will find automated MCQ quizzes. To unlock the next module, you need to complete the quiz task and get at least 60% marks. Certification After completing the MCQ/Assignment assessment for this Data Analyst (Data Analytics) course, you will be entitled to a Certificate of Completion from Training Tale. The certificate is in PDF format, which is completely free to download. A printed version is also available upon request. It will also be sent to you through a courier for £13.99. Who is this course for? Data Analyst (Data Analytics) - CPD Certified For business professionals, entrepreneurs, or anybody else looking to have a thorough grasp of data analysis in a commercial setting, this Data Analytics Course is ideal. Requirements There are no specific requirements for Data Analyst (Data Analytics) Course because it does not require any advanced knowledge or skills. Career path Data Analyst (Data Analytics) - CPD Certified This Data Analytics Course will assist you in obtaining positions as a business analyst, marketing analyst, data analyst, and in related fields. Certificates Certificate of completion Digital certificate - Included

Course Overview canva is one of the most popular and effective tools for graphic designers for fast designing. If you want to use your graphic designing for marketing or put your idea online then the large library of canva can help you choose any template and edit it as you wish. Learn the effective techniques of canva to create beautiful and eye-catching graphics from this Graphic Elements of Design: Color Theory and Application course and promote your ideas effectively. This Graphic Elements of Design: Color Theory and Application course will help you to apply different colour theories and fundamentals in your project. You will learn how to use graphic theories and colours for data visualisation. You will be able to use professional colour palettes, proximity, typography and many other graphic components to beautify your design. This course will help you learn graphic designing techniques from scratch. It is a very effective course for aspiring graphic designers and marketers who wants to learn Canva techniques. Learning Outcomes Familiarize with the fundamentals and theories of graphic designing Understand colour interaction and colour harmony in designing Be able to create different types of colour combinations and apply them to your design Learn how to create a professional colour palette Gain the skill to work with colour, images and typography Learn how colour basics work for branding Learn the cultural connection of colours Who is this course for? This course is perfect for anyone who wants to learn graphic designing or strengthen their basics of designing. You will learn the basic theories and elements of graphic designing and their application from this curse. 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 Graphic Elements of Design: Color Theory and Application is a useful qualification to possess and would be beneficial for any related profession or industry such as: Graphic Designers Illustrators Digital Artists Artists Social Media Marketers Logo Designers Banner Designers Introduction Module 01: Colour Theory- Basic Terms 00:03:00 Module 02: Use Values to Establish Hierarchy in Photoshop CC 00:04:00 Module 03: Class Exercise: Value 00:01:00 Module 04: Colour Fundamentals: Colour Wheel 00:02:00 Module 05: Colour Combinations 00:05:00 How to Work with Colours in Adobe Illustrator CC 2020 Module 06: Colour Modes in Adobe Illustrator CC 00:01:00 Module 07: Working with Existing Colours 00:02:00 Module 08: Customising Colours 00:01:00 Module 09: Save Colour Swatches 00:01:00 Module 10: Global Colours 00:01:00 Module 11: Duplicate Global Colours 00:01:00 Module 12: Adobe Colour Themes 00:04:00 Module 13: Colour Guides 00:01:00 Module 14: Recolour Artwork 00:03:00 Module 15: Colouring the Line Art 00:03:00 Module 16: Save as Template 00:03:00 Colour Systems Module 17: CMYK Colour System 00:02:00 Module 18: RGB Colour System 00:01:00 Module 19: Pantone Colour System 00:01:00 Different Techniques to Develop Successful Colour Palettes Module 20: Colour Technique- The Subordinate, Dominant and Accent Technique 00:01:00 Module 21: Colour Technique- Meaning Based Technique for Harmonising Colours 00:01:00 Module 22: Colour Technique- Meaning Based Colour Technique Exercise 00:03:00 Module 23: Colour Technique- One Colour Palette Technique 00:01:00 Module 24: Colour Technique- Two Colour Palette Technique 00:01:00 Module 25: Colour Technique- Progressive Colour Technique 00:01:00 Module 26: Colour Technique-Repetition or Reoccurrence or Gradient Technique 00:01:00 Module 27: Colour Progression and Repetition Exercise 00:08:00 Module 28: Colour Technique- Black and White Technique 00:02:00 Module 29: Colour as Provocateur 00:01:00 Module 30: Excessive Colour Solutions 00:02:00 Module 31: Colour Overlap Technique 00:01:00 Colour Interaction and Proximity Module 32: Introduction 00:01:00 Module 33: Colour Interaction 00:01:00 Module 34: Different Colour Types 00:04:00 Module 35: Class Exercise: Colour Interaction 00:03:00 Module 36: How Light Affect Your Colours 00:01:00 Module 37: Interaction and Proximity 00:01:00 Module 38: Colour Proximity Exercise 00:02:00 Module 39: How to Make that Geometric Grid Design to Practice Your Colour 00:08:00 Colour and Imagery Module 40:Colour in Images, Illustrations and Type 00:01:00 Module 41:Colour and Imagery 00:01:00 Module 42:Best Royalty-free Images Websites 00:02:00 Module 43: Apply Colour to Your Images in Photoshop CC 00:06:00 Module 44: Images as Element of the Composition 00:04:00 Module 45: Proofing Colours 00:05:00 Module 46: Save for Printing 00:02:00 Module 47: Class Project- Colour and Texture 00:03:00 Colours and Illustration Module 48: Colour and Illustration 00:02:00 Module 49: Best Resources to Get Customisable Illustration 00:02:00 Colour and Type Module 50: How to Use Colours and Type 00:01:00 Module 51: Colour and Hierarchy 00:01:00 Module 52: Display text 00:02:00 Module 53: Specific Fonts 00:01:00 Module 54: Body Text and Colour 00:02:00 Module 55: Apply Effects to Display Text in Adobe Illustrator 00:04:00 Module 56: Best Fonts Resources Websites 00:02:00 Module 57: Class Project- Magazine Mock-up 00:07:00 Colours in Data Visualisation Module 58: Introduction to Colours in Data Visualisation 00:01:00 Module 59: Colours in Data Visualisation 00:03:00 Module 60: Different Ways to Import Charts 00:04:00 Module 61: The Process of Decluttering 00:09:00 Colours in Brand Identity Basics Module 62: Introduction to Colours in Branding 00:01:00 Module 63: Colours in Brand Identity- Part 1 00:10:00 Module 64: Colours in Brand Identity- Part 2 00:06:00 Module 65: Class Project- Logo 00:01:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

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Overview With the ever-increasing demand for Data Analysis Level 3 Diploma in personal & professional settings, this online training aims at educating, nurturing, and upskilling individuals to stay ahead of the curve - whatever their level of expertise in Data Analysis Level 3 Diploma may be. Learning about Data Analysis Level 3 Diploma or keeping up to date on it can be confusing at times, and maybe even daunting! But that's not the case with this course from Compete High. We understand the different requirements coming with a wide variety of demographics looking to get skilled in Data Analysis Level 3 Diploma . That's why we've developed this online training in a way that caters to learners with different goals in mind. The course materials are prepared with consultation from the experts of this field and all the information on Data Analysis Level 3 Diploma is kept up to date on a regular basis so that learners don't get left behind on the current trends/updates. The self-paced online learning methodology by compete high in this Data Analysis Level 3 Diploma course helps you learn whenever or however you wish, keeping in mind the busy schedule or possible inconveniences that come with physical classes. The easy-to-grasp, bite-sized lessons are proven to be most effective in memorising and learning the lessons by heart. On top of that, you have the opportunity to receive a certificate after successfully completing the course! Instead of searching for hours, enrol right away on this Data Analysis Level 3 Diploma course from Compete High and accelerate your career in the right path with expert-outlined lessons and a guarantee of success in the long run. Who is this course for? While we refrain from discouraging anyone wanting to do this Data Analysis Level 3 Diploma course or impose any sort of restrictions on doing this online training, people meeting any of the following criteria will benefit the most from it: Anyone looking for the basics of Data Analysis Level 3 Diploma , Jobseekers in the relevant domains, Anyone with a ground knowledge/intermediate expertise in Data Analysis Level 3 Diploma , Anyone looking for a certificate of completion on doing an online training on this topic, Students of Data Analysis Level 3 Diploma , or anyone with an academic knowledge gap to bridge, Anyone with a general interest/curiosity Career Path This Data Analysis Level 3 Diploma course smoothens the way up your career ladder with all the relevant information, skills, and online certificate of achievements. After successfully completing the course, you can expect to move one significant step closer to achieving your professional goals - whether it's securing that job you desire, getting the promotion you deserve, or setting up that business of your dreams.     Course Curriculum Module 1 Introduction to Data Analysis. Introduction to Data Analysis. 00:00 Module 2 Mathematics and Statistics. Mathematics and Statistics. 00:00 Module 3 Data Manipulation. Data Manipulation. 00:00 Module 4 Data Visualisation. Data Visualisation. 00:00 Module 5 Data Wrangling. Data Wrangling. 00:00 Module 6 Data Exploration. Data Exploration. 00:00 Module 7 Machine Learning Fundamentals. Machine Learning Fundamentals. 00:00 Module 8 Machine Learning Algorithms. Machine Learning Algorithms. 00:00 Module 9 Data Analysis with Python and Libraries. Data Analysis with Python and Libraries. 00:00 Module 10 Data Analysis with R and Libraries. Data Analysis with R and Libraries. 00:00