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Caio Avelino

In a world where vast amounts of data are generated every second, understanding database structures and the art of transforming data into intelligence is increasingly crucial for those looking to excel in this realm. To embark on this journey, there is no better starting point than Business Intelligence (BI), covering everything from data storage to the creation of engaging dashboards. This course not only imparts the foundational knowledge of BI but also provides data warehousing techniques and the utilization of platforms for crafting interactive dashboards, all geared towards optimizing business decision-making processes.

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In a world where vast amounts of data are generated every second, understanding database structures and the art of transforming data into intelligence is increasingly crucial for those looking to excel in this realm. To embark on this journey, there is no better starting point than Business Intelligence (BI), covering everything from data storage to the creation of engaging dashboards. This course not only imparts the foundational knowledge of BI but also provides data warehousing techniques and the utilization of platforms for crafting interactive dashboards, all geared towards optimizing business decision-making processes.

This course is designed for aspiring Data Analysts, BI Professionals, Business Strategy Professionals, Marketing Professionals, and Information Management Professionals seeking to harness the power of data for informed decision-making.

Basic knowledge of business processes and a keen interest in Business Intelligence, Visualization Tools, and Data Warehousing are recommended to maximize your learning experience.

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What's inside

Syllabus

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Read about what's good
what should give you pause
and possible dealbreakers
Teaches data storage techniques, which are fundamental to data management and analysis
Explores the creation of visually appealing dashboards that facilitate data visualization and interpretation
Appropriate for aspiring Data Analysts who seek to develop their foundational knowledge and skills
Provides a solid foundation for BI Professionals looking to enhance their understanding of data warehousing and dashboard creation
Recommended for Business Strategy Professionals seeking to leverage data insights for informed decision-making
Suitable for Marketing Professionals aiming to improve their data-driven marketing strategies

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Reviews summary

Bi foundations with practical gaps

According to learners, this course offers a neutral introduction to Business Intelligence concepts, covering topics from data warehousing to interactive dashboards. However, many students found the coverage to be superficial, particularly regarding practical application and specific tools. While some appreciate it as a foundational overview, a significant portion found it lacks depth and could be considered outdated. The hands-on activities were frequently cited as insufficient, leaving a gap between theory and real-world implementation, making it less suitable for those seeking advanced practical skills.
Pacing can be uneven; better for absolute beginners.
"Some parts moved too quickly for a beginner, while others were too slow for someone with a basic understanding."
"If you're already familiar with some data concepts, much of this course will feel like a review, not new learning."
"I think this course is best suited for individuals with absolutely no prior exposure to business intelligence or data."
Provides a high-level introduction to key BI concepts.
"I gained a basic understanding of what Business Intelligence entails and its various components, which was helpful."
"For someone completely new to BI, this course lays out the foundational concepts clearly."
"It gave me a good conceptual framework for understanding data warehousing principles and dashboarding."
Aspects of the course material may feel outdated.
"I felt some of the examples and technologies discussed were not entirely current with industry standards."
"The focus seemed a bit behind modern BI practices, which was a concern for career development."
"It would be beneficial if the course content were updated to reflect the latest trends in data visualization and warehousing."
Many topics are covered too briefly, lacking necessary detail.
"The content felt very high-level and didn't dive deep enough into complex BI strategies or optimization techniques."
"I expected more in-depth explanations for both data warehousing and advanced dashboarding, but it was quite basic."
"Some sections felt rushed, and I struggled to connect the dots without additional external resources."
The course offers insufficient hands-on application and tool specifics.
"I found the course to be too theoretical; I really needed more practical exercises with actual BI tools."
"There wasn't enough detail on how to build interactive dashboards using specific software, which was disappointing."
"While it talked about data warehousing, I didn't get enough hands-on experience with ETL processes or database design."
"The course only scratches the surface of important topics, leaving me wanting more real-world application."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Discovering BI: From Warehousing to Interactive Dashboards with these activities:
Review foundational SQL
Data Warehousing and SQL are two essential building blocks for BI. Refresh your knowledge in these areas to set a strong foundation for your learning journey.
Browse courses on SQL
Show steps
  • Review SQL syntax and commands
  • Practice querying data using SQL
Explore open-source BI tools
Familiarize yourself with open-source BI tools to expand your knowledge and explore alternative solutions.
Browse courses on BI Tools
Show steps
  • Identify different open-source BI tools
  • Install and configure the tools
  • Explore the features and capabilities of the tools
Design a simple data model
Creating a data model will help you visualize and understand the relationships between data elements, a crucial skill for BI professionals.
Browse courses on Data Modeling
Show steps
  • Identify the entities and attributes in the data
  • Create a diagram to represent the data model
  • Test the data model by querying data
Four other activities
Expand to see all activities and additional details
Show all seven activities
Attend industry meetups and conferences
Networking with professionals in the field can provide valuable insights and connections that can support your learning journey.
Show steps
  • Research industry events and meetups
  • Attend the events and engage with attendees
Analyze sample business scenarios using BI tools
Hands-on practice with BI tools will enhance your ability to interpret data and extract meaningful insights for business decision-making.
Browse courses on BI Tools
Show steps
  • Identify the business question
  • Gather and clean the data
  • Analyze the data using BI tools
  • Present the findings and recommendations
Develop a personal data visualization dashboard
Building your own dashboard will provide hands-on experience in applying your knowledge of data visualization and consolidation.
Browse courses on Data Visualization
Show steps
  • Define the purpose and scope of the dashboard
  • Collect and prepare the data
  • Design and create the dashboard using a visualization tool
  • Test and iterate on the dashboard design
Volunteer as a mentor for aspiring BI professionals
Mentoring others not only benefits them but also reinforces your own knowledge and solidifies your understanding of BI concepts.
Show steps
  • Identify opportunities to mentor others
  • Share your knowledge and experiences
  • Provide guidance and support

Career center

Learners who complete Discovering BI: From Warehousing to Interactive Dashboards will develop knowledge and skills that may be useful to these careers:

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 Discovering BI: From Warehousing to Interactive Dashboards.
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.
Decisive provides a four-step process (WRAP) for making better decisions: Widen your options, Reality-test your assumptions, Attain distance before deciding, and Prepare to be wrong. offers practical strategies and is highly applicable for students and professionals seeking to improve their decision-making skills in various contexts. It's a practical guide that complements the theoretical understanding of decision making.
Ariely explores the many ways in which our decisions are not rational, revealing the systematic and predictable errors we make. is highly relevant to understanding the biases discussed in several of the online courses. It serves as valuable additional reading to complement theoretical knowledge with real-world examples of irrationality.
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This recent book delves into the concept of noise – the unwanted variability in judgments that should ideally be identical. It builds upon Kahneman's previous work and is highly relevant to contemporary discussions on improving decision making in professional settings, such as medicine, law, and forecasting. It provides a deeper understanding of errors in judgment beyond just biases.
Provides a comprehensive overview of the psychological processes that influence managerial judgment and decision making. It is often used as a textbook in business schools and is highly relevant for understanding how cognitive biases affect decisions in organizational settings. It's a valuable resource for both students and professionals.
Drawing on her background as a professional poker player, Duke provides a framework for making better decisions in situations involving uncertainty and incomplete information. is particularly useful for understanding probabilistic thinking and managing risk, relevant to courses on decision making under uncertainty and financial analysis. It offers practical strategies for real-world decision making.
Schwartz argues that an overload of choices can lead to increased anxiety, indecision, and dissatisfaction. is highly relevant to understanding the psychological impact of decision making in modern society, a theme that resonates with courses on consumer psychology and behavioral economics. It provides a deeper understanding of the challenges individuals face when making choices.
Considered a classic practical guide, this book outlines a structured approach to decision making focusing on identifying objectives, creating alternatives, and understanding consequences and tradeoffs. It's a valuable reference tool for anyone who needs a systematic method for tackling complex decisions. The methods presented are time-tested and widely applicable.
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 comprehensive overview of data warehousing with SQL Server 2019. It covers all the essential aspects of data warehousing, including data integration, data modeling, data storage, and data analysis. The authors are experts in the field and provide a wealth of practical advice.
Provides a comprehensive overview of data warehousing. It covers all the essential aspects of data warehousing, including data integration, data modeling, data storage, and data analysis. The authors are experts in the field and provide a wealth of practical advice.
Provides a comprehensive overview of data warehousing. It covers all the essential aspects of data warehousing, including data integration, data modeling, data storage, and data analysis. The author is an expert in the field and provides a wealth of practical advice.
Provides a comprehensive overview of data warehousing. It covers all the essential aspects of data warehousing, including data integration, data modeling, data storage, and data analysis. The author is an expert in the field and provides a wealth of practical advice.
Provides a comprehensive overview of data warehousing ETL. It covers all the essential aspects of data warehousing ETL, including data integration, data modeling, data storage, and data analysis. The authors are experts in the field and provide a wealth of practical advice.
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.
Provides a comprehensive overview of data storage systems, covering both the theoretical and practical aspects of the subject. It is suitable for both undergraduate and graduate students, as well as for professionals in the field.
This comprehensive guide provides a step-by-step approach to data transformation, covering topics such as data quality assessment, data cleaning, data integration, and data standardization. It is ideal for both business and IT professionals who need to understand and implement data transformation projects.
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.
A follow-up to 'Thinking in Bets,' this book offers practical tools and frameworks for making better decisions in everyday life. It focuses on developing a robust process for decision making, even when faced with uncertainty. is well-suited for a broad audience looking for actionable strategies.
Examines the traits and techniques of 'superforecasters' – individuals who are exceptionally good at predicting future events. It provides insights into probabilistic thinking, updating beliefs based on new information, and working in teams to improve forecasts, all of which are relevant to data-driven decision making and strategic planning.
Dalio shares the principles he developed and used to achieve success in life and at Bridgewater Associates. The book outlines a systematic approach to decision making based on clearly articulated principles and radical transparency. It provides insights into strategic decision making in a professional context.
This academic text provides a thorough exploration of the theoretical and empirical research on thinking and decision making. It covers various models of decision making and biases, making it a valuable resource for graduate students and researchers seeking a deep understanding of the subject. It's more suitable as a core textbook for advanced study.
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.
Applies game theory principles to a wide range of strategic interactions, providing a framework for thinking strategically and making decisions when the outcome depends on the choices of others. It's highly relevant for understanding strategic decision making in business and other competitive environments.
Klein explores decision making in naturalistic settings, focusing on how experienced professionals make high-stakes decisions under pressure and with limited information. is valuable for gaining a broader understanding of decision processes beyond purely rational models and is particularly relevant for those interested in leadership and applied decision making.
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.
Taleb discusses the impact of rare and unpredictable events (black swans) and our tendency to rationalize them in hindsight. is relevant for understanding the limitations of traditional forecasting and decision-making models in the face of extreme uncertainty. It offers a critical perspective on how we think about and prepare for the unexpected.
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.
While not solely focused on personal decision making, Cialdini's book explores the principles of persuasion and how they influence our decisions and compliance. Understanding these principles is valuable for recognizing external factors that can impact decision processes, relevant to courses on consumer psychology and negotiation. It provides insight into how others can influence our choices.
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.
While focusing on data science, this book is highly relevant to Business Intelligence as it explains how to use data mining and analytical thinking to solve business problems. It provides a solid foundation in the principles and concepts behind extracting value from data, which core component of BI.
Offers a visually engaging collection of 50 models and frameworks for better decision making and strategic thinking. It's a practical and accessible resource that can be used as a quick reference tool for approaching different types of decisions. It provides breadth in terms of the variety of decision-making approaches.
This practical guide focuses on how to transform data for business intelligence applications. It covers data integration, data combining, and data harmonization. It valuable resource for data analysts and business intelligence professionals who need to transform data for reporting and analysis.
Provides a comprehensive overview of machine learning for data warehousing. It covers all the essential aspects of machine learning for data warehousing, including data integration, data modeling, data storage, and data analysis. The author is an expert in the field and provides a wealth of practical advice.
This guide focuses specifically on strategic decision making within a business context, offering practical steps and frameworks for developing effective business plans. It useful resource for professionals and students interested in the application of decision-making principles to business strategy. It serves as a practical guide for a specific domain of decision making.
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.
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.
Tableau widely used BI and data visualization tool. focuses on mastering Tableau for implementing advanced BI techniques, analytics, and even machine learning models. It's a practical guide for those looking to become proficient in using a popular BI platform.
Provides a practical, hands-on guide to implementing Business Intelligence solutions using the Microsoft SQL Server platform and Power BI. It covers building data models, creating reports, and utilizing various Microsoft BI tools. It's particularly useful for those working within a Microsoft ecosystem.
Provides a comprehensive overview of Tableau, a popular data visualization software. It covers the basics of Tableau, such as data connection, data manipulation, and chart creation. It good resource for beginners who want to learn how to create interactive dashboards with Tableau.
Provides an introduction to building dashboards with Python and Plotly. It covers the basics of Plotly, such as data binding, scales, and shapes. It good resource for developers who want to learn how to create interactive dashboards for the web.
Beginner's guide to using Tableau, one of the most popular data visualization tools. It covers the basics of Tableau, as well as how to use Tableau to create a variety of charts and graphs.
Makes a compelling business case for embracing big data. It helps readers understand the value and potential of big data, which significant driver for modern Business Intelligence initiatives. It's relevant for understanding the strategic importance of BI in a data-rich world.

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