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Welcome to the Data Management, Reports, and Dashboards course!

The course is designed to equip Salesforce administrators and app builders with advanced skills and best practices necessary for effective data handling, reporting, and dashboard creation within the Salesforce platform.

The course aligns with the structure of Salesforce Administrator Exam (ADM 201) and Platform App Builder (CRT 403) certification exam,

This course requires a comprehensive knowledge of salesforce administration, and the Lightning application.

By the end of this course you'll be able to:

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Welcome to the Data Management, Reports, and Dashboards course!

The course is designed to equip Salesforce administrators and app builders with advanced skills and best practices necessary for effective data handling, reporting, and dashboard creation within the Salesforce platform.

The course aligns with the structure of Salesforce Administrator Exam (ADM 201) and Platform App Builder (CRT 403) certification exam,

This course requires a comprehensive knowledge of salesforce administration, and the Lightning application.

By the end of this course you'll be able to:

- Gain a foundational understanding of data management principles and best practices in Salesforce.

- Learn techniques for importing and exporting data into and out of Salesforce using Data Loader and other tools.

- Explore strategies for cleansing and maintaining high-quality data in Salesforce to improve data accuracy and reliability.

- Master creating insightful reports in Salesforce to analyze business performance, track key metrics, and identify trends and patterns.

- Learn how to create custom report types and format reports to present data clearly and meaningfully.

- Discover how to build dynamic dashboards in Salesforce to visualize key metrics and KPIs, monitor business performance in real-time, and make data-driven decisions.

- Explore the various components and design principles for building effective dashboards that engage users and drive action.

This course includes videos, practical demos, readings, and quizzes to ensure a high-quality learning experience.

Enroll now

What's inside

Syllabus

Salesforce Lightning Flow and Data Management
This module covers comprehensive training on Salesforce analytics and data management tools. By the end of this module, the learners will learn to create sample flows, schedule Lightning flows, and validate using screen flows.
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Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Develops skills for Salesforce administrators and app builders
Covers data management principles and industry best practices
Provides hands-on training on Salesforce analytics and data management tools
Teaches techniques for importing, exporting, and maintaining data quality
Guides in creating insightful reports and custom report types for data analysis
Instructs on building dynamic dashboards to visualize key metrics and KPIs in real-time

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Reviews summary

Salesforce data, reports, and dashboards essentials

According to students, this course offers a well-structured and comprehensive approach to Salesforce data management, reporting, and dashboards. Learners praise the practical demonstrations and hands-on exercises for effectively solidifying understanding and enabling immediate application of knowledge. The instructor's explanations are clear and concise, making complex topics digestible. While providing a solid foundation, particularly for beginners and new Salesforce administrators, a few learners suggested that more advanced topics could be explored in greater detail.
Instructor provides clear, concise explanations, simplifying complex topics.
"The instructor's explanations are clear and concise, making complex topics digestible."
"I found the instruction easy to follow, even for challenging concepts in Salesforce."
"The course material was delivered very clearly, making it easy to absorb."
Features valuable hands-on exercises and practical demonstrations.
"The practical demonstrations were particularly helpful, allowing me to apply what I learned immediately."
"The hands-on exercises were invaluable for solidifying my understanding."
"I found the demos allowed me to apply what I learned right away, which was very useful."
Offers thorough, easy-to-follow coverage of Salesforce data capabilities.
"This course is incredibly well-structured and easy to follow. The content is comprehensive, covering all essential aspects of data management..."
"An excellent course that delivers exactly what it promises. I appreciated the depth of coverage on Salesforce reporting and dashboard creation."
"The modules on data management principles and import/export tools were solid."
Great for beginners, but some desire more advanced topic depth.
"Good course for beginners looking to understand the basics of Salesforce data tools."
"While it provided a good foundation, I felt some advanced topics could have been explored in more detail."
"It's perfect for those new to Salesforce reporting, but perhaps not for experienced professionals seeking deep dives."

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 Data Management, Reports, and Dashboards with these activities:
Review Trailhead modules on Salesforce Fundamentals
Review concepts such as data management, security, and user management to strengthen your understanding of Salesforce's core principles.
Show steps
  • Login to Trailhead and search for Salesforce Fundamentals modules.
  • Complete the modules in order, taking notes or screenshots of key concepts.
  • Review your notes and screenshots to reinforce your understanding.
Review Salesforce Administrator Essentials
Refresh your memory of the Salesforce basics by reviewing core concepts covered in the Salesforce Administrator Exam (ADM 201)
Browse courses on Salesforce Administrator
Show steps
  • Read through the Salesforce Administrator Study Guide
  • Take practice quizzes and mock exams
  • Review key Lightning application features
Import and Export data using Data Loader
Gain hands-on experience with data management by importing and exporting data using Data Loader, a powerful tool for managing large data sets in Salesforce.
Browse courses on Data Import
Show steps
  • Create a sample dataset in a CSV or Excel file.
  • Install Data Loader and connect it to your Salesforce org.
  • Import the sample dataset into Salesforce using Data Loader.
  • Export data from Salesforce into a CSV or Excel file using Data Loader.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Explore Salesforce Data Management Toolset
Build familiarity with the various tools and techniques for managing data within Salesforce, such as importing, exporting, and data cleansing
Show steps
  • Follow tutorials on using the Data Loader
  • Experiment with different data import and export methods
  • Explore best practices for data cleansing and maintenance
Create a Sample Data Management Plan
Develop a plan to ensure the accuracy, consistency, and security of data in your Salesforce instance
Show steps
  • Define data quality standards and metrics
  • Establish data governance processes and procedures
  • Create documentation and training materials for data management
Collaborate with Peers on Report Design and Analysis
Gain insights and feedback by collaborating with peers on the design and analysis of Salesforce reports
Browse courses on Salesforce Reporting
Show steps
  • Join or create a study group or online forum
  • Discuss and share report designs with peers
  • Provide constructive feedback on report analysis and interpretation
Build a Dashboard to Track Key Performance Indicators
Demonstrate your understanding of building dashboards by creating one that tracks key performance indicators relevant to your organization
Browse courses on Salesforce Dashboards
Show steps
  • Identify relevant metrics and KPIs
  • Design and create the dashboard layout
  • Visualize data using charts, graphs, and other visual elements
Contribute to the Salesforce Developer Community
Deepen your understanding of Salesforce and its ecosystem by contributing to the open-source community
Browse courses on Salesforce Development
Show steps
  • Identify areas where you can contribute
  • Join relevant discussion forums and contribute to discussions
  • Submit bug reports, feature requests, or code contributions

Career center

Learners who complete Data Management, Reports, and 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 Data Management, Reports, and Dashboards.
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.
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.
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.
Is excellent for gaining a broad understanding of how to communicate data effectively through visualization, a key component of many reports. It provides foundational knowledge in designing clear and compelling visuals that support the narrative of a report. It widely recommended book for anyone looking to improve their data reporting skills, regardless of their technical background.
Seminal work on the subject of data visualization, and it is still one of the most influential books in the field. Tufte provides a comprehensive overview of the principles of data visualization, and he covers a wide range of topics, from data types to visual perception. Tufte's work is deeply rooted in using data visualization to present only truth and avoid misrepresenting data. This book is very thorough and can be challenging for those who are new to dashboards.
Focuses on the crucial aspect of communicating data effectively within an organization. It bridges the gap between data analysis and clear presentation, which is vital for reports to drive action and inform decisions. It's highly relevant for understanding the impact of well-communicated reports.
Explores the fundamental trade-offs and concepts behind designing modern data systems, covering various technologies and distributed systems principles. It is highly relevant for understanding contemporary data management challenges and must-read for engineers and architects.
Focuses specifically on the design of effective dashboards, a common form of reporting in business. delves into the principles of visual design for monitoring data, offering practical guidance for creating clear and efficient reports for quick comprehension. It's a valuable resource for anyone involved in designing performance reports.
Another excellent resource from Stephen Few, this book focuses specifically on designing tables and graphs for clarity and effectiveness in conveying quantitative information. It's a practical guide for improving the visual elements of reports that contain numerical data.
Definitive work on the principles and techniques of transaction processing, a core concept in database systems and distributed computing. It is essential for understanding how to build reliable and consistent data systems.
Provides a comprehensive overview of data quality, covering the key concepts, methodologies, and best practices. It valuable resource for anyone looking to improve the quality of their data.
A practical guide focusing on creating effective information graphics for business reports. is highly relevant for understanding how to visually present data and information accurately and clearly, which is essential for impactful reporting. It serves as a useful reference tool for best practices in data visualization within a business context.
Comprehensive guide to data visualization, covering everything from basic principles to advanced techniques. It is written in a clear and concise style, and it is packed with examples and exercises. This book does a fantastic job of providing a more in-depth look at many of the core principles associated with dashboards and great jumping-off point for learning more about them.
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.
Provides a comprehensive overview of data quality, covering the key concepts, methodologies, and best practices. It valuable resource for anyone looking to improve the quality of their data.
Provides a comprehensive overview of data quality, covering the key concepts, methodologies, and best practices. It valuable resource for anyone looking to improve the quality of their data.
Provides a detailed look inside the implementation of database systems, covering topics like storage engines, indexing, and concurrency control. It is excellent for deepening understanding of how databases function at a low level and is valuable for database professionals.
Covers the end-to-end process of designing, building, and managing data pipelines and analytical systems. It is highly relevant for aspiring and practicing data engineers, covering a wide range of contemporary data management tools and techniques.
A widely-used textbook in database courses, this book offers a thorough introduction to database systems, including relational models, SQL, and transaction management. It's valuable for both broad understanding and deepening knowledge, providing a solid theoretical and practical basis for data management.
This widely used textbook in technical writing programs and provides a comprehensive overview of creating various technical documents, including reports. It covers audience analysis, document design, ethics, and research, all crucial for effective report writing. It valuable reference and learning resource for both students and professionals.
Provides a practical guide to establishing and implementing data governance programs. It is crucial for understanding the organizational and process aspects of managing data effectively and valuable resource for data leaders and practitioners.
Focuses on practical data engineering using modern technologies like Apache Spark and Delta Lake. It is highly relevant for professionals building data pipelines and managing data in cloud-based data lakes, addressing contemporary challenges in big data.
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.
This handbook provides a broad overview of the data visualization process, from understanding data to creating compelling visuals. It's a good resource for those looking to deepen their understanding of the design principles behind effective visual reporting and explore different visualization techniques.
Focuses on the principles and practices for building and operating reliable and resilient database systems. It is highly relevant for professionals in site reliability engineering and database administration, addressing the operational challenges of data management.
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 comprehensive look at the entire business intelligence lifecycle, from data integration to analytics. Understanding BI is increasingly important for creating insightful business reports. This book provides a solid foundation in the processes and architecture behind effective data-driven reporting.
Explores the cognitive psychology behind visual perception and how it applies to design, including data visualization. Understanding these principles can significantly improve the effectiveness of visual reports, making them easier for the audience to understand and interpret.
Collection of essays on data visualization, written by one of the leading experts in the field. Yau covers a wide range of topics, from the history of data visualization to the latest trends in the field. This book provides a lot of real-world examples of dashboards and how they are used.
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 practical guide specifically focused on the process of writing effective reports. likely covers the structure, content, and language necessary for creating clear and impactful reports in various contexts. It serves as a good foundational text for understanding the mechanics of report writing.
Examines the ethical considerations surrounding data and analytics, including privacy, bias, and accountability. It crucial read for anyone working with data to understand the societal impact and ethical responsibilities in data management.
Provides a practical guide to building and managing data pipelines using Apache Airflow, a popular workflow orchestration tool. It is relevant for data engineers and anyone involved in building automated data processing workflows.
Highlights common mistakes and poor practices in SQL programming and database design. It is highly practical for anyone writing SQL queries or designing databases, helping to improve efficiency and avoid common issues.
Teaches probability and statistics using a computational approach with Python. It's ideal for students and professionals with programming experience who want to understand statistical concepts by doing. It helps solidify understanding through hands-on application.
A timeless classic that remains highly relevant today. exposes common ways statistics can be manipulated or misinterpreted, fostering a critical eye essential for anyone working with data. It's valuable for all levels, from high school to professional, as it highlights the importance of data integrity and ethical considerations. This serves as crucial additional reading to develop data literacy.
SQL fundamental skill for data analysis, and this book delves into advanced techniques for working with data in databases. It's essential for anyone who needs to retrieve and manipulate data stored in relational databases. It serves as a valuable reference for more complex data extraction and transformation tasks.
Provides a practical guide to data quality improvement. It covers the different techniques that can be used to improve data quality, and it provides advice on how to implement a data quality improvement program.
This collection of seminal papers provides insights into the historical development and key concepts in database systems research. It is valuable for advanced students and researchers seeking to understand the evolution of data management ideas.
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.
Provides an accessible introduction to data analytics, covering key concepts and techniques. It's suitable for beginners looking to understand the analytical processes that often feed into report creation. It helps build a foundational understanding of how data is analyzed to support reporting.
Explores the world of prediction and forecasting across various fields, demonstrating how data analysis and statistical modeling are used in practice. It's particularly engaging for undergraduate and graduate students interested in the application of data analysis in real-world scenarios. It adds breadth by showcasing diverse applications and the challenges involved in making accurate predictions.
Provides a high-level overview of the data science process, from asking questions to interpreting results. It focuses on the principles and concepts rather than specific tools, making it suitable for a broad audience. It helps in gaining a broad understanding of the data analysis workflow.
While aimed at scientific writing, this book offers excellent principles for writing clearly, concisely, and persuasively about technical topics. Many of these principles are directly applicable to writing technical reports in various fields, making complex information accessible to the reader.

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