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Data has become the most important resource for every organisation – but the insights gained from data analysis will only ever be truly valuable if they can be clearly expressed to other people. This course is for anybody who works with data, and needs to communicate the meaning that's in the numbers to colleagues, customers, bosses or external stakeholders. It will give you or your team the confidence and skills to translate raw data into compelling visual stories for your key audiences. The principles and skills covered apply to the simplest PowerPoint chart, to more complex interactive visualisations. 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: What makes a great data-driven story The key elements of a successful infographic or presentation. Industry best practice, and discussion of good (and bad) examples. A simple framework for identifying the Audience, Story and Action. Session 2: Data in context How to balance function and aesthetic appeal. Identifying the right graph, chart, infographic or other visual. Framing the data and providing contextual information. Session 3: Designing for the human brain Using colours to add emphasis and meaning. Design and layout principles, and creating hierarchies of information. The principle of ‘self-sufficiency’, and removing clutter. Session 4: Navigation and narrative Tailoring visualisations for different types of communications. Structuring presentations and longer reports. Thinking in layers to create interactive dashboards. 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 “I was familiar with Alan’s work as a Guardian Masterclass instructor on data visualisation and digital journalism, which made it easy for me to recommend him for onsite training at the Liverpool School of Tropical Medicine. We had a large group of people interested in honing their abilities to depict their research and stories in engaging ways. Alan’s course provided great insight about common communication pitfalls and how to avoid them, how to become better communicators by understanding the audience diversity, and it showcased some great online tools for creating infographics. This should be mandatory training for all students, academics, report writers and those involved with conveying research to the media as it will help increase the clarity and accessibility of our own research stories.” Dr Lee Haines | Liverpool School of Tropical Medicine
Explore the diverse landscape of People Analytics, delving into data sources, cleaning methodologies, and statistical measures. Embrace the importance of ethical considerations and real-world applications, culminating in a comprehensive understanding of this evolving field. This course equips you with the skills to navigate People Analytics effectively. Learn to identify and leverage various data sources, apply cutting-edge data analysis techniques, and address challenges associated with ethical considerations, biases, and small sample sizes. Bridge theory with practicality through real-world examples and case studies. After the successful completion of this course, you will be able to: Identify the Different Data types and Sources used in People Analytics. Explain the Importance of Data Cleaning and Preparation in People Analytics. Apply Data Analysis Techniques, and Interpret Statistical Measures Used in People Analytics. Recognise the Challenges Associated with Collecting and Analysing People-Related Data and Formulate Strategies for Addressing the Challenges. Understand the Ethical Considerations Associated with Collecting and Analysing People-Related Data Such as Informed Consent and Confidentiality This course equips you with the essential skills to gather, clean, and analyze people-related data, transforming it into actionable insights that empower better HR decisions and ultimately, business success. You'll gain hands-on experience with data visualization tools, statistical analysis techniques, and practical strategies for tackling common challenges. By delving into real-world case studies and ethical considerations, you'll graduate with the confidence and expertise to champion data-driven HR initiatives that unlock the full potential of your workforce. VIDEO - Course Structure and Assessment Guidelines Watch this video to gain further insight. Navigating the MSBM Study Portal Watch this video to gain further insight. Interacting with Lectures/Learning Components Watch this video to gain further insight. Data Collection and Analysis for People Analytics Self-paced pre-recorded learning content on this topic. Data Collection and Analysis for People Analytics Put your knowledge to the test with this quiz. Read each question carefully and choose the response that you feel is correct. All MSBM courses are accredited by the relevant partners and awarding bodies. Please refer to MSBM accreditation in about us for more details. There are no strict entry requirements for this course. Work experience will be an added advantage to understanding the content of the course. The certificate is designed to enhance the learner's knowledge in the field. This certificate is for everyone who is eager to know more and get updated on current ideas in their respective field. We recommend this certificate for the following audience. People Analytics Specialist HR Data Analyst Workforce Insights Manager Employee Experience Analyst HR Research Consultant Talent Analytics Strategist Data-driven HR Manager Organizational Behavior Analyst Average Completion Time 2 Weeks Accreditation 3 CPD Hours Level Advanced Start Time Anytime 100% Online Study online with ease. Unlimited Access 24/7 unlimited access with pre-recorded lectures. Low Fees Our fees are low and easy to pay online.
Unlock the power of data with our "Creating Compelling Data Visualisations" course. From mastering the fundamentals of data analytics and statistics to leveraging cutting-edge tools and techniques, each module is designed to transform raw information into impactful visual stories. Gain the skills to captivate your audience and drive data-driven decisions with clarity and precision. Enrol now and become a master of data visualisation! Learning Outcomes: Acquire a comprehensive understanding of data analytics and its role in decision-making. Develop proficiency in using statistical techniques to analyse and interpret data accurately. Master the process of gathering and organising data efficiently for optimal analysis. Utilise Excel as a powerful tool for data manipulation and analysis. Explore various tools and technologies employed in data analytics. Cultivate a data-analytic mindset to identify actionable insights from complex data sets. Create visually compelling data visualisations that effectively communicate insights and facilitate data-driven decision-making. In today's data-driven world, the ability to transform raw information into meaningful insights is a crucial skill for professionals across industries. Introducing our comprehensive course on "Creating Compelling Data Visualisations," designed to equip you with the knowledge and techniques to excel in the realm of data analytics. Through a series of immersive modules, you'll delve into the fascinating world of data, exploring its intricacies, gathering the right information, and storing it efficiently. Dive deep into statistical analysis, mastering the art of drawing insights from complex datasets with precision and accuracy. Discover the power of Excel as a robust tool for data manipulation and analysis. Unleash your creativity as you learn to transform raw data into captivating visual stories. Explore a range of data visualisation tools and techniques, uncovering the best practices to effectively communicate insights to diverse audiences. Develop a data-analytic mindset, sharpening your ability to identify actionable insights and make data-driven decisions that propel your organisation forward. Certification Upon completion of the course, learners can obtain a certificate as proof of their achievement. You can receive a £4.99 PDF Certificate sent via email, a £9.99 Printed Hardcopy Certificate for delivery in the UK, or a £19.99 Printed Hardcopy Certificate for international delivery. Each option depends on individual preferences and locations. CPD 15 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This course is particularly useful for: Professionals seeking to enhance their data analysis skills. Aspiring data analysts and researchers. Managers and decision-makers who need to interpret and communicate data effectively. Students and graduates looking to boost their employability in the data-driven job market. Career path Data Analyst: £25,000 - £50,000 per year Business Intelligence Analyst: £30,000 - £60,000 per year Data Visualization Specialist: £35,000 - £70,000 per year Data Scientist: £40,000 - £80,000 per year Market Research Analyst: £25,000 - £45,000 per year Financial Analyst: £30,000 - £60,000 per year Note: Salary ranges can vary based on factors such as experience, qualification, and industry.
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Register on the Data Engineering with Google BigQuery & Google Cloud today and build the experience, skills and knowledge you need to enhance your professional development and work towards your dream job. Study this course through online learning and take the first steps towards a long-term career. The course consists of a number of easy to digest, in-depth modules, designed to provide you with a detailed, expert level of knowledge. Learn through a mixture of instructional video lessons and online study materials. Receive online tutor support as you study the course, to ensure you are supported every step of the way. Get an e-certificate as proof of your course completion. The Data Engineering with Google BigQuery & Google Cloud is incredibly great value and allows you to study at your own pace. Access the course modules from any internet-enabled device, including computers, tablet, and smartphones. The course is designed to increase your employability and equip you with everything you need to be a success. Enrol on the now and start learning instantly! What You Get With The Data Engineering with Google BigQuery & Google Cloud Receive a e-certificate upon successful completion of the course Get taught by experienced, professional instructors Study at a time and pace that suits your learning style Get instant feedback on assessments 24/7 help and advice via email or live chat Get full tutor support on weekdays (Monday to Friday) Course Design The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace. You are taught through a combination of Video lessons Online study materials Certification Upon successful completion of the course, you will be able to obtain your course completion e-certificate free of cost. Print copy by post is also available at an additional cost of £9.99 and PDF Certificate at £4.99. Who Is This Course For: The course is ideal for those who already work in this sector or are an aspiring professional. This course is designed to enhance your expertise and boost your CV. Learn key skills and gain a professional qualification to prove your newly-acquired knowledge. Requirements: The online training is open to all students and has no formal entry requirements. To study the Data Engineering with Google BigQuery & Google Cloud, all your need is a passion for learning, a good understanding of English, numeracy, and IT skills. You must also be over the age of 16. Course Content Unit 01: Introduction Module 01: Welcome to This Course 00:01:00 Module 02: How to Get Maximum Value from This Course 00:06:00 Module 03: Course Structure & Coverage 00:02:00 Module 04: Technology in This Course 00:02:00 Unit 02: Introducing Data Warehouse & BigQuery Module 01: Data Warehouse 00:07:00 Module 02: Start With BigQuery 00:05:00 Module 03: BigQuery Web User Interface 00:04:00 Unit 03: First Exploration Module 01: First Data 00:04:00 Module 02: Basic Exploration 00:16:00 Module 03: Functions 00:14:00 Module 04: Common Data Types 00:07:00 Module 05: Different Query 00:01:00 Module 06: Exploring Common Data Types 00:25:00 Module 07: Converting Data Types 00:07:00 Unit 04: Data Flow Basic Module 01: Data Quality 00:06:00 Module 02: Clean & Transform 00:13:00 Module 03: Store Data 00:06:00 Module 04: Upgrading From Sandbox Account 00:01:00 Module 05: Clean & Transform With Dataprep 00:25:00 Module 06: Scheduled Query 00:04:00 Module 07: Analyze Data 00:05:00 Module 08: Data Visualization 00:06:00 Unit 08: Intermediate Query Module 01: Essential BigQuery 00:15:00 Module 02: Load Data into BigQuery (Part 1) - The Basic 00:36:00 Module 03: Tip: Mock Data 00:01:00 Module 04: Load Data into BigQuery (Part 2) - Handling Errors 00:22:00 Module 05: Load Data into BigQuery (Part 3) - Efficient Load 00:14:00 Module 06: Load Data into BigQuery (Part 4) - From Your Data to BigQuery 00:23:00 Module 07: Load Data into BigQuery (Part 5) - In Microservice Architecture 00:20:00 Module 08: Tip: Message Broker Overview 00:08:00 Module 09: Load Data into BigQuery (Part 6) - Recurring Load 00:12:00 Unit 05: Diving into BigQuery Module 01: BigQuery View 00:06:00 Unit 06: Virtual Data using View Module 01: What We Will Learn 00:01:00 Module 02: Google Sheets & BigQuery 00:10:00 Module 03: Google Data Studio 00:13:00 Unit 07: Data Visualization Module 01: Using Join - Theory 00:04:00 Module 02: Using Join - Hands On 00:16:00 Module 03: Union & Intersect 00:06:00 Module 04: Basic Statistical Functions 00:05:00 Frequently Asked Questions Are there any prerequisites for taking the course? There are no specific prerequisites for this course, nor are there any formal entry requirements. All you need is an internet connection, a good understanding of English and a passion for learning for this course. Can I access the course at any time, or is there a set schedule? You have the flexibility to access the course at any time that suits your schedule. Our courses are self-paced, allowing you to study at your own pace and convenience. How long will I have access to the course? For this course, you will have access to the course materials for 1 year only. This means you can review the content as often as you like within the year, even after you've completed the course. However, if you buy Lifetime Access for the course, you will be able to access the course for a lifetime. Is there a certificate of completion provided after completing the course? Yes, upon successfully completing the course, you will receive a certificate of completion. This certificate can be a valuable addition to your professional portfolio and can be shared on your various social networks. Can I switch courses or get a refund if I'm not satisfied with the course? We want you to have a positive learning experience. If you're not satisfied with the course, you can request a course transfer or refund within 14 days of the initial purchase. How do I track my progress in the course? Our platform provides tracking tools and progress indicators for each course. You can monitor your progress, completed lessons, and assessments through your learner dashboard for the course. What if I have technical issues or difficulties with the course? If you encounter technical issues or content-related difficulties with the course, our support team is available to assist you. You can reach out to them for prompt resolution.
This comprehensive course will guide you to use the power of Python to evaluate recommender system datasets based on user ratings, user choices, music genres, categories of movies, and their years of release with a practical approach to build content-based and collaborative filtering techniques for recommender systems with hands-on experience.