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LOOKING FOR: ADULT FICTION, NON-FICTION Daisy Chandley joined PFD in 2019 after graduating from the University of Oxford with a BA in Politics, Philosophy and Economics. She is an Associate Agent and assistant to Senior Agent Annabel Merullo and Head of Books Tim Bates as the UK sub-agent for New Directions Publishing in the US. Daisy is actively building a list of both fiction and non-fiction authors across a range of genres. With fiction, Daisy's wishlist roughly falls into three categories – if something feels like it overlaps between them, even better! 1) Sharp, original novels on the literary to upmarket spectrum, all the way from deeply dark and boundary-pushing books like Hurricane Season, Under The Skin or In The Cut to those balancing edge, heart and humour, like Detransition, Baby or A Visit From The Goon Squad. She loves irreverent wit, daring approaches in narrative or form, and seriously unsettling stories in equal measure, and if you can bring a few of those elements into one, it’ll go straight to the top of her. 2) Com-heavy rom-coms, whether in the dry but ultimately sob-inducing vein of Greta and Valdin or a Nora Ephron film, the escapist screwball delight of a Cary Grant classic, or the more unusual, genre-bending style of something like Palm Springs. Daisy is a sucker for Emily Henry and will always be happy to see an innovative take on tropey love stories, but is equally very keen to see to things a bit outside of the box, whether that’s integrating speculative elements, dark humour, or topical issues. In any case, humour and originality are my priority, and affectionately snarky bickering is the best way to make her fall head over heels with a couple. 3) Sleuths! Daisy is not the right person for police procedurals, but loves classic detectives and amateur sleuths. Whether it’s a delightful Knives Out or Nancy Drew homage or an intricate, unputdownable mystery on the darker side, the minute someone finds a good old fashioned clue, count her in! Overall, whether it’s a delightfully fun and scandalous page-turner or something really bold and experimental, if it’s stylish and smart – and maybe even a bit sexy – Daisy would love to see it. Daisy is definitely interested in literary speculative fiction, though not generally looking for hard SFF. Across the board, she is always looking for stories that explore sexuality, race, gender, and disability, and would particularly love to hear from writers whose voices and experiences aren’t given enough space in publishing. On the non-fiction side, Daisy is looking for bold new insights and underrepresented voices on popular science, nature writing, relationships, social issues and politics, and am always especially interested in fresh, playful and exciting writing on pop culture, love and the internet. She’d also love to see illuminating narrative non-fiction, whether a beautiful and lyrical exploration, or an enthralling and explosive deep-dive. A (large) handful of authors past and present whose work Daisy loves include Patricia Lockwood, Toni Morrison, Elif Batuman, Gillian Flynn, Shirley Jackson, Raven Leilani, Max Porter, Carmen Maria Machado, Virginia Woolf, Sayaka Murata, Kiley Reid, Sally Rooney, George Saunders, Joan Didion, Amy Liptrot, Ottessa Moshfegh, J.D. Salinger, Donna Tartt, Bret Easton Ellis, and Fernanda Melchor. Daisy is not the right fit for Children’s or YA authors.  Daisy would like you to submit a covering letter, 1 page synopsis and the first 2,500 words of your manuscript in a single word document. (In addition to the paid sessions, Daisy is kindly offering one free session for low income/under-represented writers. Please email agent121@iaminprint.co.uk to apply, outlining your case for this option which is offered at the discretion of I Am In Print).  By booking you understand you need to conduct an internet connection test with I Am In Print prior to the event. You also agree to email your material in one document to reach I Am In Print by the stated submission deadline and note that I Am In Print take no responsibility for the advice received during your agent meeting. The submission deadline is: Thursday 8th May 2025

Overview This course is a rare opportunity to acquire important leadership skills and use those newfound skills to gain the respect of co-workers and those you supervise. It's filled with insights into the special and often-overlooked talents women leaders can bring to the table and cutting-edge tactics successful women leaders are using right now to make things happen in their organizations.

This course will enable you to bring value to the business by putting data science concepts into practice. Data is crucial for understanding where the business is and where it's headed. Not only can data reveal insights, but it can also inform - by guiding decisions and influencing day-to-day operations.

Join us as we delve into the essential do's and don'ts of LinkedIn, uncovering the key tactics to optimize your profile, expand your network, and engage effectively with potential customers and collaborators.

Overview Effective decision-making requires the adoption of decision approaches that fit the complexities of these situations and the efficient management of decision-making processes. It also requires the ability to think strategically in highly interactive markets and acute insights into the psychology behind people's behaviour. Objectives Develop critical thinking skills, sharpening your intuition in the face of risk and uncertainty Learn ways to discover, manage, mitigate and avoid decision-making traps Learn to leverage the power of 'nudges' - a light-touch way to influence human behaviour and improve decision-making Boost your ability to build high-performing teams by understanding what conditions enable teams to make better decisions than individuals Become a more strategic leader and decision-maker by understanding the long-term impact your decisions can have on your organisation

Duration 2 Days 12 CPD hours This course is intended for This course is designed for students who already have foundational knowledge and skills in Excel and who wish to perform robust and advanced data and statistical analysis with Microsoft Excel using PivotTables, use tools such as Power Pivot and the Data Analysis ToolPak to analyze data, and visualize data and insights using advanced visualizations in charts and dashboards in Excel. To ensure success, you should have baseline skill using Microsoft Excel worksheets, particularly in creating workbooks with formulas and function Overview #NAME? Analyzing data to find issues, insights and opportunities, is now a critical part of many job roles. Beyond the analysis, data analysts in all job roles must be able to effectively present and communicate their findings in visually compelling ways. Microsoft© Excel© is designed for this purpose. Excel can connect to a wide range of data sources, perform robust data analysis and create diverse and robust data-backed visualizations to show insights, trends, and create reports. These capabilities enable people who use Excel for data analysis to turn data into thoughtful action. 1 - DATA ANALYSIS FUNDAMENTALS Introduction to Data Science Create and Modify Tables Sort and Filter Data 2 - VISUALIZING DATA WITH EXCEL Visualize Data with Charts Modify and Format Charts Apply Best Practices in Chart Design 3 - ANALYZING DATA WITH FORMULAS AND FUNCTIONS Analyze Data with Formulas and Named Ranges Analyze Data with Functions Implement Data Validation, Forms, and Controls Create Conditional Visualizations with Lookup Functions 4 - ANALYZING DATA WITH PIVOTTABLES Create a PivotTable Analyze PivotTable Data 5 - PRESENTING VISUAL INSIGHTS WITH DASHBOARDS IN EXCEL Visualize Data with PivotCharts Filter Data Using Slicers and Timelines Create a Dashboard in Excel 6 - CREATING GEOSPATIAL VISUALIZATIONS WITH EXCEL Create Map Charts in Excel Customize Map Charts in Excel 7 - PERFORMING STATISTICAL ANALYSIS Visualize Trendlines and Sparklines with Excel Analyze Data with the Data Analysis ToolPa 8 - GETTING AND TRANSFORMING DATA Connect to Data with Queries Clean and Combine Data Shape and Transform Data 9 - MODELING AND ANALYZING DATA WITH POWER PIVOT Install Power Pivot in Excel Create Data Models with Power Pivot Create Power Pivots Perform Advanced Data Analysis and Visualization 10 - PRESENTING INSIGHTS WITH REPORTS (OPTIONAL) Plan a Report Create a Report

Five half-day Leadership modules with mini work placed projects to bring the learning into action in the workplace.

Duration 2 Days 12 CPD hours Overview Identify and configure basic functions of Tableau. Connect to data sources, import data into Tableau, and save Tableau files Create views and customize data in visualizations. Manage, sort, and group data. Save and share data sources and workbooks. Filter data in views. Customize visualizations with annotations, highlights, and advanced features. Create and enhance dashboards in Tableau. Create and enhance stories in Tableau As technology progresses and becomes more interwoven with our businesses and lives, more and more data is collected about business and personal activities. This era of "big data" has exploded due to the rise of cloud computing, which provides an abundance of computational power and storage, allowing organizations of all sorts to capture and store data. Leveraging that data effectively can provide timely insights and competitive advantage. The creation of data-backed visualizations is a key way data scientists, or any professional, can explore, analyze, and report insights and trends from data. Tableau© software is designed for this purpose. Tableau was built to connect to a wide range of data sources and allows users to quickly create visualizations of connected data to gain insights, show trends, and create reports. Tableau's data connection capabilities and visualization features go far beyond those that can be found in spreadsheets, allowing users to create compelling and interactive worksheets, dashboards, and stories that bring data to life and turn data into thoughtful action. Prerequisites To ensure your success in this course, you should have experience managing data with Microsoft© Excel© or Google Sheets?. Lesson 1: Tableau Fundamentals Topic A: Overview of Tableau Topic B: Navigate and Configure Tableau Lesson 2: Connecting to and Preparing Data Topic A: Connect to Data Topic B: Build a Data Model Topic C: Save Workbook Files Topic D: Prepare Data for Analysis Lesson 3: Exploring Data Topic A: Create Views Topic B: Customize Data in Visualizations Lesson 4: Managing, Sorting, and Grouping Data Topic A: Adjust Fields Topic B: Sort Data Topic C: Group Data Lesson 5: Saving, Publishing, and Sharing Data Topic A: Save Data Sources Topic B: Publish Data Sources and Visualizations Topic C: Share Workbooks for Collaboration Lesson 6: Filtering Data Topic A: Configure Worksheet Filters Topic B: Apply Advanced Filter Options Topic C: Create Interactive Filters Lesson 7: Customizing Visualizations Topic A: Format and Annotate Views Topic B: Emphasize Data in Visualizations Topic C: Create Animated Workbooks Topic D: Best Practices for Visual Design Lesson 8: Creating Dashboards in Tableau Topic A: Create Dashboards Topic B: Enhance Dashboards with Actions Topic C: Create Mobile Dashboards Lesson 9: Creating Stories in Tableau Topic A: Create Stories Topic B: Enhance Stories with Tooltips

About Course Unlock key insights with our comprehensive guide to market research - propel your business towards unprecedented growth Our immersive online course on Market Research provides a comprehensive exploration into the intricate art and science of understanding consumer behaviour, trends, and market dynamics. Do you want to grow your business and take it to new heights? Achieving sustainable growth requires a deep understanding of your target audience and a keen awareness of industry trends. This marketing course equips you with the knowledge and skills required to understand your target customers and their needs. We start with a brief history and definition of 'market research' before we lay out the six steps of the market research process. This course examines the classifications of market research and explains how to identify research problems to set up the market research process. We show you how to develop and design a market research approach. We also trace the relationship between market problems and research design by distinguishing between exploratory, descriptive and causal research. The course goes over data analysis techniques and discusses how to deliver effective presentations of research findings to facilitate analysis and discussion. We cover qualitative and quantitative market research methods and provide examples to help you with questionnaire design with examples of open- and closed-end questions. We demonstrate data analysis techniques to help you leverage your research findings to make better business decisions. Finally, the course explains how to communicate research results while adhering to market research ethics. This course has no prerequisites and suits anyone interested in business and marketing. It is particularly useful for small business owners, entrepreneurs and marketers and helps you to create focused marketing campaigns that connect with your audience to boost customer engagement, brand loyalty and business success. Sign up to learn how to conduct market research that lets you understand consumer behaviour, spot gaps in the market and grow your business. Whether you're a budding marketer, a business owner, or a student of the commerce field, this course offers a comprehensive and practical guide to mastering market research. Enroll now to gain the knowledge and skills that can help shape business strategies, influence product development, and drive business success. What Will You Learn? Discuss the importance of market research in supporting marketing decision-making Identify the factors that influence the decision to conduct market research Outline the key components of a market research proposal Discuss the significance of problem identification in marketing research Analyse the key characteristics and advantages of qualitative research Recognise the factors that affect the sample size and accuracy in quantitative research Identify the key components and goals of a questionnaire Explain the importance of data validation and quality control Summarise the significance of the report and presentation as key components of marketing research Discuss the ethical principles of research methodology and the importance of integrity in market research Course Content Introduction to Market Research Introduction to Market Research The Market Research Process The Market Research Process Market Research Design Market Research Design Defining the Problem & Developing Research Approach Defining the Problem & Developing Research Approach Qualitative Market Research Qualitative Market Research Quantitative Market Research Quantitative Market Research Questionnaire Design Questionnaire Design Data Analysis Data Analysis Communicating Research Results Communicating Research Results Research Ethics Research Ethics Conclusion Conclusion A course by Xpert Learning Audience Marketers Current and aspiring product managers Business executives Consultants Entrepreneurs

Duration 1 Days 6 CPD hours This course is intended for This course is designed for professionals in a variety of job roles who receive Tableau data visualizations from data analysts or from data visualization engineers. These data report recipients want to take advantage of the many Tableau features and capabilities that enable them to explore the data behind the initial analysis, perform additional analysis to ask next-level questions of the data, and to customize visualizations and dashboards to share new insights and create compelling reports. Overview Explore Tableau reports. Analyze data to get answers and insights. Sort and group data for analysis and reporting. Filter views. Prepare reports. Troubleshoot, collaborate, and share views and analysis As data acquisition, access, analysis, and reporting are interwoven with our businesses and lives, more and more data is collected about business and personal activities. This abundance of data and the computing power to analyze it has increased the use of data analysis and data visualization across a broad range of job roles. Decision makers of all types, including managers and executives, must interact with, interpret, and develop reports based on data and analysis provided to them. Tableau© software is designed for data analysis and the creation of visualizations. Data analysts prepare data, perform initial analysis, and create visualizations that are then passed on to business data-driven decision makers. These decision makers can use Tableau's tools to explore the data, perform further analysis to find new insights, make decisions, and create customized reports to share their findings. Prerequisites To ensure your success in this course, you should have experience managing data with Microsoft© Excel© or Google Sheets? Lesson 1: Exploring Tableau Reports Topic A: Data Analysis Workflow with Tableau Topic B: Explore Views Topic C: Edit Workbooks Lesson 2: Analyzing Data to Get Answers and Insights Topic A: Configure Marks with the Marks Card Topic B: Ask New Questions by Changing Aggregation Topic C: Find Answers with Calculations Topic D: Answer Questions with Table Calculations Lesson 3: Sorting and Grouping Data for Analysis and Reporting Topic A: Sort Data Topic B: Group Data Lesson 4: Filtering Views Topic A: Filter Data to Refine Analysis Topic B: Create Interactive Filters for Reports Lesson 5: Preparing Reports Topic A: Format and Annotate Views to Tell Your Story Topic B: Emphasize Data in Reports Topic C: Animate Visualizations for Clarity Lesson 6: Troubleshooting, Sharing, and Collaborating Topic A: Troubleshoot Data Issues Topic B: Collaborate in Tableau Online Topic C: Collaborate with Non-Tableau Users