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Professionals from the Industry

This course is perfect for analysts and business professionals who want to transform complex data into clear, actionable insights. Starting with fundamental visualization principles and progressing to advanced dashboard creation, you'll develop the practical skills needed to communicate data stories effectively across any organization.

Upon completion, you'll be able to:

• Create powerful visualizations and interactive dashboards using Tableau and Excel

• Design and implement custom calculations and metrics for deeper analysis

Read more

This course is perfect for analysts and business professionals who want to transform complex data into clear, actionable insights. Starting with fundamental visualization principles and progressing to advanced dashboard creation, you'll develop the practical skills needed to communicate data stories effectively across any organization.

Upon completion, you'll be able to:

• Create powerful visualizations and interactive dashboards using Tableau and Excel

• Design and implement custom calculations and metrics for deeper analysis

• Build compelling data stories through narrative visualization techniques

• Optimize dashboard performance and implement real-time updates

• Leverage AI tools to enhance visualization design and automation

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What's inside

Syllabus

Introduction to Data Visualization & BI Tools
Welcome to the transformative world of data visualization, where raw numbers become compelling stories that drive business decisions. In this foundational module, you'll master essential Business Intelligence (BI) tools like Tableau and Excel, learning how to connect to data sources, clean and transform data, and create impactful visualizations that bring insights to life. Working with real-world scenarios from Global Finance Corp, you'll develop practical skills that will immediately enhance your ability to communicate complex data stories effectively.
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Career center

Learners who complete Data Visualization with Tableau and Microsoft Excel will develop knowledge and skills that may be useful to these careers:
Data Storyteller
A Data Storyteller specializes in crafting narratives from complex data, making insights accessible and compelling for diverse audiences. This role bridges the gap between raw data and understandable human insights, often using visual aids to convey messages effectively. The "Data Visualization with Tableau and Microsoft Excel" course is exceptionally well-suited for an aspiring Data Storyteller. A key learning objective is "Build compelling data stories through narrative visualization techniques," and the "Creating Interactive Dashboards and Data Stories" module is dedicated to mastering this art. Learners develop skills in combining multiple visualizations and crafting narrative elements, ensuring they can transform data into impactful communications that drive understanding and action across any organization.
Business Intelligence Analyst
A Business Intelligence Analyst is vital for transforming raw data into strategic insights that drive business performance. This role involves designing, developing, and maintaining BI solutions, including dashboards and reports, to help stakeholders monitor key performance indicators and make informed decisions. The "Data Visualization with Tableau and Microsoft Excel" course directly addresses the core requirements of a Business Intelligence Analyst. Learners will master essential BI tools like Tableau and Excel, learning to connect to data sources, clean data, and create compelling interactive dashboards. The emphasis on optimizing dashboard performance and implementing real-time updates directly prepares individuals for the practical challenges encountered in this dynamic field.
Dashboard Developer
A Dashboard Developer specializes in the design, creation, and maintenance of interactive data dashboards that provide real-time insights for business users. This role requires a strong understanding of data visualization principles, user experience, and technical proficiency in visualization tools. The "Data Visualization with Tableau and Microsoft Excel" course is tailor-made for an aspiring Dashboard Developer. It provides comprehensive training in using Tableau and Excel to build powerful, interactive dashboards, explicitly covering design, strategic interactivity, and performance optimization. Learners will gain practical experience in combining multiple visualizations and crafting narrative elements, ensuring they can develop robust and user-friendly dashboards that drive data-driven decisions effectively.
Data Visualization Specialist
A Data Visualization Specialist focuses on translating complex data into understandable and aesthetically pleasing visual formats, such as charts, graphs, and interactive displays, to illuminate insights and facilitate decision-making. This role demands both artistic sensibility and analytical rigor. The "Data Visualization with Tableau and Microsoft Excel" course is an ideal pathway for individuals aiming to become a Data Visualization Specialist. It guides learners from fundamental visualization principles to advanced dashboard creation, emphasizing narrative visualization techniques and AI-driven insights. By mastering tools like Tableau and Excel, and focusing on compelling data stories, learners will develop the expertise needed to transform raw data into powerful visual narratives that resonate with diverse audiences.
Data Analyst
A Data Analyst plays a crucial role in interpreting complex datasets to uncover trends, patterns, and insights that inform strategic business decisions. They are responsible for collecting, cleaning, and sometimes transforming data, before presenting their findings in an understandable and actionable format. This course, "Data Visualization with Tableau and Microsoft Excel," helps a Data Analyst by providing an exceptional foundation. It teaches core competencies like creating powerful visualizations and interactive dashboards using industry-standard tools, which are essential for communicating data stories effectively. The hands-on projects and focus on custom calculations ensure learners can not only present data but also derive deeper analytical insights, making them highly valuable in this career.
Reporting Analyst
A Reporting Analyst is responsible for compiling, analyzing, and presenting data in clear, concise reports and dashboards that enable various departments to track performance and make data-driven decisions. This role requires meticulous attention to detail and strong communication skills to ensure insights are accessible. For those aspiring to become a Reporting Analyst, the "Data Visualization with Tableau and Microsoft Excel" course is highly relevant. It provides hands-on experience in creating compelling visualizations and interactive dashboards using industry-standard tools. Learners will develop skills in designing custom calculations and building narrative data stories, which are crucial for producing impactful and understandable reports across any organization.
Operations Analyst
An Operations Analyst examines business processes and workflows to identify inefficiencies, recommend improvements, and optimize operational performance. This often involves collecting and analyzing operational data to pinpoint bottlenecks and track key performance indicators. The "Data Visualization with Tableau and Microsoft Excel" course helps an Operations Analyst to effectively leverage data for process improvement. The capstone project, for instance, focuses on "sustainable energy analytics" with "GreenWave Energy Solutions' data," requiring learners to transform complex energy operations data into actionable insights. This practical experience in data preparation, advanced calculations, and creating interactive dashboards using industry-standard tools directly supports the communication of operational performance and strategic business decisions.
Business Consultant
A Business Consultant advises organizations on improving their efficiency, solving problems, and achieving strategic goals. This often involves analyzing business data, identifying key challenges, and presenting findings and recommendations to clients in a clear and persuasive manner. The "Data Visualization with Tableau and Microsoft Excel" course helps a Business Consultant by equipping them with the practical skills to transform complex client data into clear, actionable insights. Mastering the creation of compelling visualizations and interactive dashboards using Tableau and Excel enables consultants to articulate their analyses and recommendations powerfully. The ability to build data stories and optimize dashboard performance is invaluable for delivering impactful presentations and driving client success.
Marketing Analyst
A Marketing Analyst collects, analyzes, and interprets market research data, sales figures, and campaign performance metrics to help inform marketing strategies and optimize spend. This role requires strong analytical capabilities and the ability to present findings in an engaging and understandable way to marketing teams and leadership. For an aspiring Marketing Analyst, the "Data Visualization with Tableau and Microsoft Excel" course helps one develop essential skills. While the course uses "SocialPulse's social media metrics" in its "Creating Interactive Dashboards and Data Stories" module, it equips learners to transform various marketing data into clear visualizations and interactive dashboards using Tableau and Excel. This enables them to effectively communicate campaign performance, customer insights, and market trends, driving data-driven marketing decisions.
Product Analyst
A Product Analyst focuses on understanding user behavior, product performance, and market trends by analyzing data related to product usage, features, and engagement. This role is crucial for informing product development and strategy with data-driven insights. The "Data Visualization with Tableau and Microsoft Excel" course helps a Product Analyst to effectively communicate their findings. The course trains learners to create powerful visualizations and interactive dashboards using Tableau and Excel. These skills are directly applicable to visualizing product adoption metrics, feature usage, user funnels, and retention rates. The ability to design custom calculations and narrative data stories allows a Product Analyst to translate complex product data into compelling insights that guide successful product iterations and launches.
Supply Chain Analyst
A Supply Chain Analyst optimizes the flow of goods and services from production to consumption by analyzing data related to logistics, inventory, and demand. This role is crucial for identifying efficiencies and mitigating risks within complex supply networks. The "Data Visualization with Tableau and Microsoft Excel" course helps a Supply Chain Analyst by providing tools to visualize and interpret operational data effectively. Learners will gain expertise in creating powerful visualizations and interactive dashboards using Tableau and Excel, which are perfect for tracking inventory levels, delivery performance, and supplier metrics. The ability to design custom calculations and build compelling data stories enables a Supply Chain Analyst to present complex supply chain insights in an understandable way, supporting strategic decision-making.
Financial Analyst
A Financial Analyst assesses financial performance and helps guide investment decisions and strategic planning. This role demands precision, strong analytical acumen, and the ability to articulate complex financial data to stakeholders. The "Data Visualization with Tableau and Microsoft Excel" course helps a Financial Analyst by providing hands-on experience with tools essential for transforming financial data into clear, actionable insights. With extensive use of "Global Finance Corp" data and investment portfolio scenarios, learners apply data visualization principles to real financial contexts. They develop skills in creating custom calculations and building professional dashboards, enabling them to communicate financial analysis more effectively and contribute to sophisticated reporting.
Healthcare Data Analyst
A Healthcare Data Analyst collects, analyzes, and interprets data related to patient care, public health, and healthcare operations to improve efficiency, outcomes, and policy. This role requires the ability to handle sensitive information and present findings clearly to medical professionals and administrators. The "Data Visualization with Tableau and Microsoft Excel" course helps a Healthcare Data Analyst by providing foundational skills in leveraging data visualization tools. While the course's specific examples are not healthcare-focused, the principles of creating powerful visualizations, interactive dashboards, and narrative data stories using Tableau and Excel are directly transferable. Learners will gain the practical ability to transform complex healthcare datasets into clear, actionable insights for decision-making in the healthcare sector.
Quantitative Researcher
A Quantitative Researcher designs and conducts studies, analyzes numerical data, and interprets statistical findings to answer specific research questions, often in academic, market research, or finance settings. This role typically requires an advanced degree. The "Data Visualization with Tableau and Microsoft Excel" course may be useful for a Quantitative Researcher to enhance their data presentation skills. While the course does not delve into advanced statistical modeling, it teaches how to transform complex data into clear visualizations and interactive dashboards using Tableau and Excel. This helps researchers communicate their findings more effectively, translating raw data into compelling narrative visualizations for reports and presentations, which is crucial for disseminating research insights to a broader audience.
Chief Data Officer
A Chief Data Officer is an executive-level role responsible for an organization's data strategy, governance, management, and utilization to drive business value. This position typically requires extensive leadership experience and an advanced degree. While the "Data Visualization with Tableau and Microsoft Excel" course doesn't cover executive strategy, it may be useful for a Chief Data Officer by providing a foundational understanding of practical data visualization and storytelling capabilities. Understanding how powerful visualizations and interactive dashboards are created using Tableau and Excel, enhanced by AI-driven insights, can help a Chief Data Officer better guide their teams and articulate the value of data initiatives. This insight into data communication methods is vital for driving data literacy and adoption at an organizational level.

Reading list

We've selected 50 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Data Visualization with Tableau and Microsoft Excel.
Seminal work on the grammar of graphics, a formal language for describing data visualizations. It covers a wide range of topics, from the basics of the grammar of graphics to the use of the grammar of graphics to create a variety of charts and graphs.
This classic book by Edward Tufte must-read for anyone interested in data visualization. It covers a wide range of topics, from the principles of visual perception to the design of effective charts and graphs.
The definitive benchmark textbook of modern artificial intelligence, rigorously unifying search algorithms, probabilistic reasoning, knowledge representation, and machine learning into an elegant, coherent agent-based framework.
A monumental foundational text establishing the mathematical, algorithmic, and statistical principles of modern deep neural networks, from linear algebra and optimization to convolutional and sequence modeling architectures.
The third edition of the essential guide to data wrangling with pandas, NumPy, and Jupyter in Python. Updated for newer versions of the libraries, this book remains a core resource for anyone performing data analysis in Python. It widely used textbook and reference for its clear explanations and practical examples.
Provides an exceptionally practical, code-first curriculum that guides engineers from end-to-end data preprocessing and traditional regression pipelines to production deep learning models and generative neural networks.
Delivers an authoritative mathematical foundation in Bayesian inference, graphical models, and statistical learning algorithms, bridging foundational probability theory with rigorous predictive computational modeling.
A more recent iteration of the comprehensive 'Bible' series, this book covers the features of Excel 2021. It serves as an excellent reference and learning tool for users who want a deep understanding of the software, from basic to advanced functionalities. It's suitable for a wide range of users.
Dives into contemporary Excel topics like Power Pivot and Power Query, which are crucial for handling and analyzing large datasets. It's a key resource for users looking to move beyond basic data analysis and leverage Excel's business intelligence capabilities. Recommended for intermediate to advanced users and professionals.
Guides engineers step-by-step through implementing, training, and fine-tuning complete generative transformer architectures in pure PyTorch, providing crystal-clear low-level insight into modern foundation models.
Presents the foundational treatise on Markov decision processes, temporal-difference learning, and policy gradient methods that underpin autonomous decision-making and modern post-training alignment workflows.
Examines holistic architectural patterns for designing resilient machine learning infrastructure, addressing data pipelines, real-time feature stores, continual learning loops, and production deployment reliability.
Specifically targets financial modeling using Excel, a key application in finance and accounting. is essential for students and professionals in these fields who need to build and analyze financial models. It covers relevant formulas, functions, and best practices.
Provides a comprehensive overview of data visualization, covering the basics of visual perception, data types, and chart types. It great resource for beginners who want to learn the fundamentals of data visualization.
Provides a comprehensive overview of dashboards, covering topics such as dashboard design, data visualization, and dashboard evaluation. It valuable resource for anyone who wants to create effective and informative dashboards.
This guidebook offers a comprehensive overview of the Business Intelligence lifecycle, from data integration to analytics. It provides clear explanations of architectural design and processes, making it valuable for gaining a broad understanding of the field. It useful reference for navigating the complexities of BI projects and includes practical solutions.
Provides a foundational understanding of the fundamental principles of data science and the data-analytic thinking necessary for extracting value from data in a business context. It is highly relevant for undergraduate business analytics programs and working professionals. It serves as a useful reference for understanding the business applications of data analysis and is commonly used as a textbook.
Demystifies practical transformer model implementation through the Hugging Face ecosystem, demonstrating how to fine-tune, optimize, and deploy attention architectures across diverse natural language processing and understanding tasks.
Focuses on creating effective and advanced data visualizations using Excel, going beyond the default chart types. It's highly relevant to contemporary data analysis and communication. It provides step-by-step guides for creating various chart types and is valuable for users at all levels looking to improve their data storytelling.
A focused guide on Power Query, a powerful tool for data extraction, transformation, and loading within Excel and Power BI. is crucial for anyone dealing with data from multiple sources and needing to clean and prepare it for analysis. It's a valuable resource for data professionals.
Addresses contemporary data analytics practices within Excel, focusing on modern techniques for cleaning, transforming, and analyzing data. It's highly relevant for those looking to update their skills and leverage Excel for more sophisticated data analysis tasks.
Focuses on applying Excel to solve business problems and analyze business data. It's a practical guide for students and professionals in business-related fields who need to use Excel for decision-making and analysis.
Ideal for beginners, this book provides a solid foundation in Excel basics with step-by-step guides. It covers a wide range of fundamental topics, making it a great starting point for those new to spreadsheets. While suitable for initial learning, it also touches upon more complex areas.
Dives deep into array formulas, a powerful technique for complex calculations in Excel. It's for users who want to deepen their understanding of advanced formulas and push the boundaries of what Excel can do. Recommended for intermediate to advanced users.
For those working with Microsoft BI tools like Power BI, SSAS, and Excel, a strong understanding of DAX is essential. is considered a definitive guide to the DAX language, providing in-depth knowledge for creating powerful calculations and data models.
Focuses on the crucial skill of communicating insights from data effectively through compelling visualizations. is highly relevant for all levels, emphasizing the importance of clear and impactful data presentation. It is valuable additional reading that complements technical data analysis skills.
Delivers battle-tested operational patterns for serving foundation models, addressing GPU cluster throughput, semantic caching, automated evaluation benchmarks, and continuous latency minimization.
A focused guide on mastering Excel formulas and functions, which are fundamental to using Excel effectively. is helpful for users looking to deepen their understanding of how to perform calculations and manipulate data. Relevant for all levels beyond the absolute beginner.
Details an applied architectural methodology for running high-performance open-weights models on local workstations, tackling quantization fidelity, memory bandwidth limits, and prompt assembly trade-offs.
Comprehensive guide to the entire Business Intelligence project lifecycle, from planning to deployment. It provides a structured approach to implementing BI solutions and emphasizes understanding business needs and ensuring data quality. It valuable resource for project managers and those involved in BI implementation.
Bridges the gap between statistical theory and its practical application in data science using R and Python. It focuses on the statistical concepts most relevant to data scientists and provides code examples. It's a useful reference and learning resource for those applying statistics in their work.
Offers a new way of thinking about data science and ethics informed by intersectional feminist thought. It challenges existing power structures within data and explores how data can be used to work towards justice. It's highly relevant for contemporary discussions around fairness and bias in data analysis.
Offers a rigorous theoretical foundation for reasoning under uncertainty, combining graph theory and probability distributions to model complex high-dimensional dependencies across autonomous intelligent systems.
Offers a hands-on approach to learning Excel VBA, with step-by-step instructions and exercises designed for quick learning. It's suitable for users who want to rapidly acquire VBA skills for automation and enhancing their Excel capabilities.
Provides real-world examples of how companies are using big data and analytics to achieve success. It showcases Business Intelligence in action across various industries, offering practical insights and inspiration. It's valuable for understanding the practical applications of BI.
Introduces core computational linguistics concepts and practical tokenization, tagging, and syntactic parsing workflows through clear Python examples, establishing strong fundamentals for language analysis.
Addresses the importance of having a sound data strategy in the age of big data and IoT. It helps readers understand how to leverage data, analytics, and Business Intelligence to drive profitability and gain a competitive edge.
A beginner-friendly approach to learning Excel VBA programming. breaks down complex VBA concepts into easy-to-understand steps, making it accessible for those new to automation. It's a good starting point before moving on to more advanced VBA resources.
Provides a guide to creating effective and aesthetically pleasing data visualizations. It delves into the principles behind good visualization design, helping readers make informed choices about how to represent their data. It valuable reference for anyone creating visualizations, from students to professionals.
Is an excellent starting point for anyone new to data analysis or statistics. It demystifies core statistical concepts without relying heavily on mathematical formulas, making it highly accessible for high school and undergraduate students. It provides a strong foundation in the intuition behind statistical analysis and helps readers understand how data can be used and misused. This is valuable background reading that builds prerequisite knowledge.
A comprehensive guide aiming to take users from beginner to expert. It covers a wide range of topics and can be used for both gaining a broad understanding and deepening knowledge. Its step-by-step approach makes it accessible for self-learners.
Provides a beginner-friendly introduction to data analysis techniques using Excel. It covers essential tools and methods for analyzing data within Excel, making it suitable for those new to data analysis or using Excel for this purpose.
Predictive analytics is an advanced area within Business Intelligence. explores how predictive analytics works and its applications in various business scenarios. It's suitable for those looking to deepen their understanding of advanced BI techniques.
Synthesizes the five foundational tribes of machine learning into a unified conceptual framework, illuminating how symbolists, connectionists, evolutionaries, Bayesians, and analogizers approach intelligence.
Effective data visualization crucial aspect of Business Intelligence. focuses on the principles of designing insightful and effective dashboards for communicating data clearly and accurately. It's a valuable resource for anyone involved in presenting BI findings.

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