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Throughout this course, you will learn everything you need to know about linear and non-linear regression, regression modeling, and Stata. By the end of this course, you will be able to understand and be confident in interpreting complex types of data using Stata.
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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.