Analysing Sales Data Using Power BI, Excel, and Python is a straightforward, beginner-friendly guide designed for anyone with basic expertise in data handling. This activity-based eBook simplifies the workflow by leveraging three key tools: Excel for easy data preparation, Power BI for clear and impactful visualizations, and Python for accessible, advanced analysis. You'll work with a real-world sales dataset, learning how to clean and prepare it in Excel, create insightful visualizations in Power BI, and use Python to perform more complex analysis—all in a step-by-step, easy-to-follow format. Even if you’re just getting started with data analytics, this guide is tailored to help you gain confidence in working with these popular tools. Whether you’re creating bar charts and line graphs in Power BI, fixing data errors, or using Python's pandas library to extract valuable insights, every step is broken down with simplicity in mind. Perfect for those who want to explore data analytics without getting overwhelmed, this eBook makes it easy for you to get up to speed quickly. Prerequisites: PyCharm Community Edition or a similar Python IDE Power BI Desktop (free download) Microsoft Excel (desktop or browser-based) Get started with data analytics the easy way, and transform your sales data into actionable insights with minimal expertise required!

Empowering You to Master Business Intelligence and Solve Real-world Analytical Problems. KEY FEATURES ● Fulfill your business analytics objectives through comprehensive theory and hands-on, real-world examples. ● Dive into the world of advanced Business Intelligence using data science with Power BI. ● Acquire in-demand skills that align with the current job market and enhance your career prospects. DESCRIPTION In today's analytics landscape, proficiency in Excel and Power BI is practically a prerequisite for a successful career. This book provides a concise yet comprehensive exploration of these foundational elements of modern Business Intelligence (BI). Comprising ten chapters, this book covers the entire development journey of a Power BI analytical solution, spanning from data modeling and preparation to report creation, publication, and dashboard and app deployment. It offers insights into security measures and performance optimization, ensuring a well-rounded understanding of the BI ecosystem. Furthermore, it delves into advanced topics, such as leveraging data science algorithms within reports, offering readers an extensive learning experience. The book takes a holistic approach to these technologies, offering a contrast to the narrow perspectives often adopted by contemporary BI professionals who rely solely on a single tool or language. The book allows data enrichment through calculations that can be achieved using various languages, including SQL queries at the source, Power Query Formula Language, M, Python, R, and DAX. By the end of this book you will master these options but be able to also weigh their pros and cons to make informed decisions. WHAT WILL YOU LEARN ● Learn the art of crafting comprehensive reports and analyses using Excel and Power BI. ● Discover efficient methods for sharing your insights and reports with your team or clients. ● Gain the skills to maintain and update your analytical solutions effectively. ● Understand the significance of extracting valuable information from data in today's business landscape. ● Address the increasing demand for skilled analysts, filling a critical gap in the industry. ● Dive into numerous real-world examples to develop a strong foundation in analytical techniques. WHO IS THIS BOOK FOR? This book caters to aspiring Business Intelligence developers, analysts seeking to enhance their skills, and beginners looking to efficiently use tools like Excel. It also appeals to data enthusiasts and serves as a practical resource for students and educators in data-related fields. If you are a professional from the industry interested in leveraging Power BI and Excel for data-driven decision-making, this book is for you. TABLE OF CONTENTS 1. Introducing the Theoretical Background for Democratizing Analytics 2. Acquiring and transforming data from multiple sources 3. Power Query Transformations and Formula Language (M) Overview 4. Building a simple analytical solution with Power Pivot in Excel 5. Enhancing the model and business analysis with DAX 6. Creating reports in Power BI Desktop 7. Using the Power BI Service 8. Data Science in Power BI 9. Optimizing Power BI models and reports 10. Deploying, Maintaining, and Securing Power BI Assets Index

Renowned DAX experts Alberto Ferrari and Marco Russo teach you how to design data models for maximum efficiency and effectiveness. How can you use Excel and Power BI to gain real insights into your information? As you examine your data, how do you write a formula that provides the numbers you need? The answers to both of these questions lie with the data model. This book introduces the basic techniques for shaping data models in Excel and Power BI. It’s meant for readers who are new to data modeling as well as for experienced data modelers looking for tips from the experts. If you want to use Power BI or Excel to analyze data, the many real-world examples in this book will help you look at your reports in a different way–like experienced data modelers do. As you’ll soon see, with the right data model, the correct answer is always a simple one! By reading this book, you will: • Gain an understanding of the basics of data modeling, including tables, relationships, and keys • Familiarize yourself with star schemas, snowflakes, and common modeling techniques • Learn the importance of granularity • Discover how to use multiple fact tables, like sales and purchases, in a complex data model • Manage calendar-related calculations by using date tables • Track historical attributes, like previous addresses of customers or manager assignments • Use snapshots to compute quantity on hand • Work with multiple currencies in the most efficient way • Analyze events that have durations, including overlapping durations • Learn what data model you need to answer your specific business questions About This Book • For Excel and Power BI users who want to exploit the full power of their favorite tools • For BI professionals seeking new ideas for modeling data

In the post-COVID-19 healthcare landscape, the demand for smart healthcare solutions and precision medicine systems has grown significantly. To address these challenges, the book AI and IoT-Based Technologies for Precision Medicine provides a comprehensive resource for doctors, researchers, engineers, and students. By leveraging AI and IoT technologies, the book equips healthcare professionals with advanced tools and methodologies for predictive disease analysis, informed decision-making, and other aspects of precision medicine. This resource bridges the gap between theory and practice, exploring concepts like machine learning, deep learning, computer vision, AI-integrated applications, IoT-based technologies, healthcare data analytics, and biotechnology applications. Through this, the book empowers healthcare practitioners to pioneer innovative solutions that enhance efficiency, accuracy, and security in medical practices. AI and IoT-Based Technologies for Precision Medicine not only offer insights into the potential of AI-powered applications and IoT-equipped techniques in smart healthcare but also foster collaboration among healthcare scholars and professionals. This authoritative guide encourages knowledge sharing and collaboration to harness the transformative potential of AI and IoT, leading to revolutionary advancements in medical practices and healthcare services. With this book as a guide, readers can navigate the evolving landscape of high-tech medicine, taking confident steps toward a cutting-edge and precise medical ecosystem.

Big Data - 4 book BUNDLE!! Data Analytics for Beginners In this book you will learn: Putting Data Analytics to Work The Rise of Data Analytics Big Data Defined Cluster Analysis Applications of Cluster Analysis Commonly Graphed Information Data Visualization Four Important Features of Data Visualization Software Big Data Impact Envisaged by 2020 Pros and Cons of Big Data Analytics And of course much more! Deep Learning with Keras In this book you will learn: Deep Neural Network Neural Network Elements Keras Models Sequential Model Functional API Model Keras Layers Core Keras Layers Convolutional Keras Layers Recurrent Keras Layers Deep Learning Algorithms Supervised Learning Algorithms Applications of Deep Learning Models Automatic Speech and Image Recognition Natural Language Processing Video Game Development Real World Applications And of course much more! Analyzing Data with Power BI In this book you will learn: Basics of data analysis processes Fundamental data analysis algorithms Basic of data and text mining, data visualization and business intelligence Techniques used for analysing quantitative data Basic data analysis tasks Conceptual, logical and physical data models Power BI service and data modelling Creating reports and visualizations in Power BI Data transformation and data cleaning in Power BI Real world applications of data analysis Convolutional Neural Networks In Python In this book you will learn: Architecture of convolutional neural networks Solving computer vision tasks using convolutional neural networks Python and computer vision Automatic image and speech recognition Theano and TenroeFlow image recognition How to use MNIST vision dataset What are commonly used convolutional filters Download this book bundle NOW and SAVE money!!

THE MICROSOFT POWER BI MCQ (MULTIPLE CHOICE QUESTIONS) SERVES AS A VALUABLE RESOURCE FOR INDIVIDUALS AIMING TO DEEPEN THEIR UNDERSTANDING OF VARIOUS COMPETITIVE EXAMS, CLASS TESTS, QUIZ COMPETITIONS, AND SIMILAR ASSESSMENTS. WITH ITS EXTENSIVE COLLECTION OF MCQS, THIS BOOK EMPOWERS YOU TO ASSESS YOUR GRASP OF THE SUBJECT MATTER AND YOUR PROFICIENCY LEVEL. BY ENGAGING WITH THESE MULTIPLE-CHOICE QUESTIONS, YOU CAN IMPROVE YOUR KNOWLEDGE OF THE SUBJECT, IDENTIFY AREAS FOR IMPROVEMENT, AND LAY A SOLID FOUNDATION. DIVE INTO THE MICROSOFT POWER BI MCQ TO EXPAND YOUR MICROSOFT POWER BI KNOWLEDGE AND EXCEL IN QUIZ COMPETITIONS, ACADEMIC STUDIES, OR PROFESSIONAL ENDEAVORS. THE ANSWERS TO THE QUESTIONS ARE PROVIDED AT THE END OF EACH PAGE, MAKING IT EASY FOR PARTICIPANTS TO VERIFY THEIR ANSWERS AND PREPARE EFFECTIVELY.

"Creativity on Demand: Think out of the Box, Generate Ideas on Demand, Overcome Creativity Blocks & Build a Culture of Innovation" by Purnima Banerjee is a crash course on creativity, an essential guide for anyone looking to unlock their creative potential and enhance their problem-solving skills. This comprehensive book covers every aspect of the creative process, from understanding the science behind creativity to implementing and testing innovative ideas. With practical exercises, real-world examples, and proven techniques, readers will find themselves equipped with the tools necessary to navigate and thrive in a world that demands continuous innovation. Do you often wonder if you think creatively or feel overwhelmed by creativity blocks? Persistent creativity blocks can lead to stagnation, reduced problem-solving abilities, and missed opportunities for innovation. Understanding and overcoming these blocks is crucial for personal and professional growth. In the first chapter, "Creativity on Demand" readers will explore the foundational principles of creativity. They will understand why creative thinking is critical for problem-solving and how it can be applied in various contexts. This chapter lays the groundwork for developing a creative mindset, offering insights into the science behind creativity and examples of creative thinking in action. The subsequent chapters explore practical strategies for generating innovative ideas and creating an inspiring environment for innovation. Readers will discover effective brainstorming methods, structured approaches to creativity, and how to leverage technology and data for idea generation. Additionally, the book provides guidance on designing a creative workspace, building a supportive network, and stimulating creativity through new experiences. These chapters are designed to help readers cultivate an environment that nurtures and enhances their creative capabilities. "Overcoming Creativity Blocks" is a crucial chapter that addresses the common challenges individuals face when trying to be creative. Author Purnima Banerjee identifies various types of creative blocks, their psychological and environmental causes, and personal block patterns. Readers will learn strategies for breaking through these blocks, including mindfulness practices, stress reduction techniques, and shifting perspectives. This chapter empowers readers to transform obstacles into opportunities for creative growth. The book also emphasizes the importance of connecting diverse ideas and perspectives. By exploring cross-disciplinary thinking and utilizing analogies and metaphors, readers will enhance their ability to synthesize information and develop innovative solutions. The chapters on implementing and testing ideas provide a step-by-step guide for turning creative concepts into actionable plans. Readers will gain insights into setting clear goals, creating prototypes, and refining their ideas through feedback and iteration. "Embracing Continuous Innovation and Future Trends" prepares readers for long-term success in innovation. The author discusses the importance of lifelong learning, staying updated with emerging trends, and developing resilience and flexibility. Readers will learn how to anticipate future challenges and opportunities, adapt to changes, and position themselves for sustained success. This book is not just a guide but a companion for anyone looking to harness the power of creativity and make a significant impact in their personal and professional lives.