Dashboard Reporting Specialist: Power BI, Qlik, and AI Story

In this project, you will learn how to create charts in Microsoft Excel to analyze sales data of a sample company. You will learn how to create PivotTables to assess different aspects of the sales information, and represent the information from the tables as line, bar, and pie charts. When creating the charts, you will learn how to format them so they are easily interpreted and you will then assemble the charts in a dashboard to provide a global picture of the sales data.

Data visualization is especially important today with the increased amount and velocity of data that companies capture daily, and a system is needed to ingest and make sense of all this data for improved decision-making. This course provides a comprehensive understanding of data visualization within the context of business intelligence. It begins by covering the foundational concepts, advantages, and risks associated with data visualization We then shift our focus to the specialized tool Qlik Sense, examining its key features, competitive advantages, workflow, and terminology. Finally, the course provides hands-on experience creating simple interactive visualizations using real-life data. As a foundational course of a series of three Qlik Sense learning opportunities, "Introduction to Data Visualization" sets the foundation, introducing you to the art and science of visualizing data effectively. In "Exploration and Visualization with Qlik Sense," you'll go deeper, honing your skills in navigating and presenting data with this powerful tool. Finally, "Advanced Data Analysis and Collaboration" takes your expertise to new heights, equipping you with advanced techniques to analyze and collaborate on data-driven insights. Whether you are beginning the journey or an experienced data enthusiast, this series offers a seamless transition from fundamentals to advanced proficiency, ensuring you're well-equipped to excel in the world of data visualization. This program is designed for anyone interested in data visualization. This includes data analysts and project managers, who want to present a story or an argument through data, or individuals who want to simply take a dataset and create actionable graphs from it using Qlik Sense. Learners should ideally possess the following prerequisite skills: Basic Excel knowledge or other spreadsheet software; understanding of data statistic fundamentals such as mean, sum, etc.; and an active learning mindset.

In today’s data-driven world, harnessing the power of Generative AI to create impactful data visualizations is essential for effective communication and decision-making. This course focuses on utilizing cutting-edge AI tools to transform raw data into dynamic, insightful visual artifacts, enhancing your ability to convey complex information clearly and compellingly. Designed for data analysts, business intelligence professionals, and anyone involved in data storytelling, this course provides practical knowledge and skills to optimize your data visualization processes using AI. You'll explore current and emerging trends in AI-powered visualization platforms, ensuring you stay ahead in the ever-evolving data landscape. During this course, you'll focus on the following learning objectives: -Identify how AI tools transform traditional data visualization practices to produce dynamic, insightful presentations. -Analyze data visualization techniques with LLM-Chat interfaces to enhance understanding and communication of complex information. -Apply generative AI techniques for data storytelling, utilizing visualization methods to create compelling narratives. By completing this course, you'll be equipped to: -Understand and utilize cutting-edge Generative AI tools to create data visualization artifacts. -Gain practical knowledge on optimizing data visualization processes using AI. -Explore current and emerging trends in data visualization through AI-powered visualization platforms. This course is unique because it allows you to convert raw data into intuitive visualizations through various real-world industry examples. Generative AI empowers users to effectively communicate insights and make informed data-driven decisions. Whether you’re new to data visualization or looking to simplify complex information, this course equips you to uncover patterns, trends, and relationships using Generative AI tools. To succeed in this course, you should have a basic understanding of data analysis and charts, along with a willingness to explore innovative AI-driven solutions for data visualization.

This guided project, "Data Visualization with Power BI: Build Your First Report," is tailored for beginner data analysts who want to harness the power of data storytelling to make more informed decisions and improve decision-making processes. In this 1-hour project-based course, you you will learn how to build a data dashboard using Power BI Desktop software. You will start by exploring various ways to import data into Power BI and familiarize yourself with the Power BI interface. Next, you will learn how to bring in data from Excel and begin the data preparation process. You will observe the data, identify parts that need cleaning, and learn how to transform raw data to fit business needs (e.g., replacing values, fixing data formats, deselecting unnecessary fields, adding relationships, etc.). After cleaning the data, you will learn how to visualize it in a presentable dashboard using various visuals (bar charts, line charts, maps, cards, etc.). You will also enhance the report by applying important formatting and color themes. The final step is to publish the report on the Power BI workspace, enabling you to share it with teammates and future clients. This project is unique because it provides a step-by-step lesson on creating a Power BI dashboard, marking the beginning of your data analytics journey. By learning these steps, you will gain the fundamental knowledge needed to explore additional Power BI functions, such as real-time analytics, reading data from websites, and more. Please note, to be successful in this project, you will need a basic understanding of data, some familiarity with data cleaning and relationships, and a Microsoft account.

Power BI can feel overwhelming because it has so many different components and endless variety in charts, visualizations and color schemas. That’s why we’ve designed this end-to-end tutorial to help you create your first Power BI dashboard and guide you through visualization techniques and dashboard design principles to be able to transform raw data into compelling visual stories. This guided project was designed for beginner level business analysts and data visualization enthusiasts to help them set foot in their data analysis journey with Power BI. More specifically during the following hour you will learn how to: - Import, analyze data, and define key performance indicators (KPIs) for dashboard tracking - Apply visualization best practices by matching chart types to specific data insights - Design an interactive dashboard that integrates multiple visualizations to tell a cohesive story To achieve this, you will create an interactive sales performance dashboard that showcases key business metrics through various visualizations. This dashboard will include sales trends, regional performance, and product analysis using different chart types and interactive filters. This project is unique because it combines fundamental data visualization principles with hands-on practice, allowing you to learn Power BI's core features while building something practical that resembles real-world business reporting scenarios. In order to be successful in this project, you will need basic understanding of Excel spreadsheets and simple data formats, access to a Windows machine to run Power BI Desktop, and a Microsoft account to download the software and save your work.