
Learn what dashboards are, their benefits, best practices, and how to create them using Excel. Master data visualization principles applicable to Power BI, Tableau, and more.
Learn key data visualization best practices, including choosing effective visuals, formatting charts, storytelling, and avoiding common mistakes. Master essential charts like bar, line, scatter, and maps for clear communication.
Discover why data visualization matters! Learn how visuals simplify complex data, reveal patterns, and enhance decision-making. See firsthand how charts improve understanding compared to raw data.
Learn how to choose the right chart by understanding data types, communication goals, and audience needs. Explore essential visuals like KPI cards, line charts, bar charts, pie charts, scatter plots, and maps.
Learn how to improve chart clarity by eliminating noise, formatting axis labels, adding context, and using colors strategically for better storytelling in data visualization.
Enhance data storytelling with clear titles, strategic labels, and effective formatting. Avoid common visualization mistakes like incorrect chart types, cluttered visuals, and inconsistent colors for better insights.
Kickstart your first project as a data visualization specialist! Learn to choose the right chart, eliminate noise, and tell a compelling story using a stacked area chart in Excel.
Learn how to create a stacked area chart in Excel to visualize music industry trends. Compare line charts vs. stacked charts and adjust data order for clearer storytelling.
Learn how to clean up your Excel chart by removing noise, formatting axes, adjusting labels, and replacing legends with direct annotations for better clarity.
Enhance your Excel chart to tell a compelling story using colors, labels, and annotations. Highlight key trends, market shifts, and the impact of digital formats effectively.
Learn key dashboard design principles, including exploratory vs. explanatory dashboards, selecting the right visuals, adding context, and designing effective layouts for better decision-making.
Learn how to define a clear purpose for your dashboard by identifying the audience, their needs, and key metrics. Discover best practices for selecting visuals and adding filters effectively.
Learn the importance of adding context to dashboards. Discover how comparisons, trends, and benchmarks make KPIs meaningful, ensuring clear insights for better decision-making.
Learn how to design effective dashboard layouts using reading patterns, visual hierarchy, and Gestalt principles to guide users through insights clearly and intuitively.
Kick off your first full Excel dashboard project! Learn how to define objectives, select key metrics, choose visuals, and prepare data for an interactive job market analysis dashboard.
Start building the Excel dashboard by preparing data for visualization. Learn how to create industry filters, remove duplicates, sort data, and set up interactive selections for analysis.
Learn to calculate the average annual wage by industry in Excel using the AVERAGEIFS formula. Format the data properly and verify calculations to ensure accuracy.
Create a bar chart in Excel to visualize average annual wages by industry. Apply formatting best practices, adjust spacing, and customize axis labels for better readability.
Sort bar chart data in descending order for better readability. Fix sorting issues caused by sheet references and adjust axis settings to align the chart correctly.
Calculate total employees by industry using SUMIFS. Format the data and create a doughnut chart to visualize the job market composition. Apply best practices for better readability.
Improve the doughnut chart by grouping industries into "selected" and "others." Use VLOOKUP for dynamic selection, format labels as percentages, and enhance readability with best practices.
Compare wage and employee trends over multiple years. Use AVERAGEIFS and SUMIFS, fix X-axis labels, apply a secondary axis, and create a combo chart for better trend visualization.
Enhance chart readability by splitting the combo chart into two while maintaining a unified look. Format labels, axes, and scales to improve data clarity and visual comparison.
Create a state-wise comparison map for employee distribution. Prepare data, use SUMIFS for calculations, and insert a map chart to visualize workforce concentration across industries.
Normalize employee distribution using per-thousand capita. Use Excel's geography data type for state populations, compute employee ratios, and update the map for a more accurate industry-based workforce distribution.
Enhance the map visualization by adding an average wage metric and a toggle feature. Learn how to dynamically switch views and adjust map colors for clearer insights.
Learn how to design the final dashboard layout by strategically placing visuals, filters, and selectors. Follow a structured approach to ensure readability, alignment, and an effective user experience.
Learn how to use color strategically in your Excel dashboard to improve clarity. Highlight key metrics with consistent color coding, adjust chart formatting, and enhance data visualization.
Enhance your Excel dashboard by dynamically highlighting selected industries in bar charts. Learn to create a new data series, apply conditional formatting, and improve data readability.
Improve user experience in your Excel dashboard with form controls. Learn to sync selections, use spin buttons, apply the INDEX function, and create interactive option buttons.
Finalize your Excel dashboard with formatting, logos, and protection. Learn to secure sheets, enhance visuals, and validate insights for a professional, user-friendly experience.
Start your second Excel dashboard project! Design a sales performance dashboard for Mojo Toys using key metrics, interactivity, and advanced Excel techniques for insightful business decisions.
Define the dashboard’s purpose through a quiz! Identify key metrics, visuals, and filters for effective sales tracking. Prepare to dive into data in the next module.
Convert data into an Excel table, create filters for region and date, and set up dynamic formulas for automatic updates. Prepare your dataset for a responsive dashboard.
Assign names to key cells for easier formula management. Use the Name Manager to enhance readability and simplify referencing in your Excel dashboard calculations.
Calculate key KPIs like total revenue, previous year revenue, and previous month revenue. Use structured formulas and named references for better readability in your Excel dashboard.
Create dynamic KPI cards for total revenue, year-over-year, and month-over-month changes. Use text boxes and linked images to display values with conditional formatting in your dashboard.
Build a dynamic revenue trend analysis for current and previous years using SUMIFS with mixed references. Format and validate data for accurate trend visualization in your dashboard.
Create a dynamic line chart to visualize revenue trends. Fix axis labels, handle missing data correctly, and format the chart for clear insights and professional presentation.
Prepare store performance data by calculating total revenue, previous month revenue, and month-over-month percentage change. Ensure data accuracy and formatting before visualizing it in the next module.
Visualize store revenue and month-over-month percentage change using bar charts. Format the charts for clarity, align labels, and use color coding for positive and negative values.
Sort revenue data dynamically using ranking and index-match functions. Ensure charts update automatically with data changes, maintaining proper order and formatting.
Identify the top and bottom-performing products driving revenue changes. Learn how to rank products, calculate performance metrics, and display insights effectively in your Excel dashboard.
Set up your dashboard layout for clarity and efficiency. Learn how to position key metrics, format elements, and organize visuals to guide users through a logical data story.
Learn how to bring visuals from the Dataprep sheet to your dashboard. Align elements, format data, and structure your Excel dashboard for a professional look.
Enhance your dashboard with strategic color usage and dynamic highlights. Learn how to emphasize key trends, create interactive filters, and format charts for better insights.
Refine your dashboard with storytelling techniques. Learn how to pose key questions, add contextual insights, and format data for clarity, making your dashboard more intuitive and impactful.
Learn how to securely share your Excel dashboard online using OneDrive. Set permissions, protect data, and enable real-time collaboration for seamless access across different regions.
Fixing linked picture issues in Excel Online by using text boxes and dynamic formulas. Learn how to add conditional formatting, symbols, and finalize your KPI dashboard for seamless online access.
Kickstarting our final project! We'll transform raw hotel booking data into a compelling, explanatory dashboard for leadership. Learn visualization techniques, layout design, and exporting insights.
Understanding the story behind our data! We'll analyze key trends in cancellations, revenue loss, and booking patterns to craft a compelling dashboard for hotel management.
Defining our dashboard's purpose and visuals! Through a quick quiz, we determine the right audience, goals, and best chart types for effective data storytelling.
Building a combo chart to visualize seasonality! We align dual axes, refine grid lines, and use colors, markers, and labels to highlight key trends in cancellation rates and pricing.
Highlighting revenue loss due to cancellations! We use a column chart, format data labels, adjust colors, and add annotations to emphasize the loss in July and August.
Learn a smart trick for conditional formatting in data labels! Format values dynamically to show in millions or thousands based on their size for a cleaner, more professional look.
Visualize cancellation breakdown by lead time using a stacked bar chart! Learn how to switch from a pie chart for better clarity and storytelling while saving space.
Learn how to compare lead time with cancellation rate and average daily rate using bar charts. Discover a trick to display selective pivot chart data for better visualization!
Learn how to design a structured Excel dashboard by setting up a layout for problem and opportunity insights. Prepare for the next step—adding visualizations!
Now that our layout is ready, we’ll place the visualizations onto the dashboard. Watch as we align and adjust them for a clean, professional look!
We finalize our dashboard by adding titles, subtitles, and a compelling narrative. Learn how to effectively present insights and drive strategic recommendations for leadership decisions!
Learn how to save your Excel dashboard as an image for easy sharing. Follow these steps to ensure a high-quality, non-transparent snapshot of your final project.
This video provides an overview of Power BI.
This video dives into the Power BI desktop user interface.
This video covers how to create tables on the Power BI desktop application.
This video explores table styles and formatting.
This video provides a clear understanding of matrix visualization.
This video explores the different aggregation methods.
This video explains card visualization, which helps display single values, for example, count and total sales, in report pages and dashboards.
This video provides a clear understanding of how to utilize slicers for data filtration.
This video shows how to utilize visual filters.
This video provides a practical understanding of the clustered column chart in Power BI.
This video explains stacked graphs and 100% stacked graphs with the help of examples to develop a practical understanding.
This video discusses all key details concerning trend analysis graphs in Power BI.
This video explains the area graph and the stacked area graph.
This video explains ribbon graphs in detail with the help of examples.
This video provides a clear understanding of pie charts, treemap charts, and map charts.
This video provides a practical understanding of scatter charts and bubble charts.
This video explains the decomposition tree visual, which allows data visualization across different dimensions.
This video shows how one can create interactive reports in Power BI.
This video explains the process of publishing reports to Power BI Service.
This video shows how to create Power BI dashboards from a report so that one can view all key metrics and monitor the business quickly.
This video provides a practical understanding of how one can create Power BI reports on any mobile device.
This video explains themes in Power BI and how to apply them.
This video explains custom visualization with the help of examples.
This video shows how to create calculated columns and add them to power pivot tables.
This video explains DAX Date functions, for example, YEAR and MONTH, using examples to help learners build practical knowledge.
This video discusses the DAX FORMAT function. The example provided in the video can help one understand the real-world applicability of the function.
This video provides learners with an introduction to DAX measures in Power BI.
This video covers several DAX functions, like SUM, AVERAGE, MIN, and MAX.
This video provides a practical understanding of a filter function.
This video provides an introduction to relationships in Power BI.
This video explores a couple of DAX functions that work with relationships.
This video explains the Power BI Query Editor.
This video improves learners’ understanding of the Power Query Editor.
This video provides a practical understanding of how to connect Power BI to Excel, create pivot tables from Power BI data, and export Power BI data to Excel tables.
Get a quick overview of Excel Power Pivot! Learn how it helps you work with large datasets, build relationships, and create complex calculations. Understand where Power Pivot fits in and how it enhances your data analysis workflow.
Wondering which Excel versions support Power Pivot? Learn how to activate it and discover the key differences between Power Pivot and Pivot Tables. See why Power Pivot is a game-changer for handling large datasets and complex calculations!
Learn how to create Pivot Tables using Excel tables and the Power Pivot data model! See how to load data, work with external sources, and generate reports efficiently. Master the basics before diving into advanced Power Pivot features!
Explore the Power Pivot interface in Excel! Learn about key features like the Manage button, Data Model, KPIs, and Relationships. Understand how to load, model, and prepare data before creating Pivot Tables. Get a complete overview of Power Pivot’s ribbons, settings, and views!
Learn how Power Query and Power Pivot work together in Excel! Understand how Power Query fetches and transforms data from external sources, while Power Pivot helps with data modeling, relationships, and calculations. See how these tools complement each other to create powerful data visualizations using Pivot Tables, Pivot Charts, and Power BI!
See Power Query and Power Pivot in action! In this practical demo, learn how to load external data into Power Query, transform it (remove columns, change data types, calculate age, and round values), and then load it into Power Pivot for data modeling. Finally, watch how to create a Pivot Table in Excel to generate insightful reports!
Learn to import data from Access into Power Pivot, filter fields before and after import, and manage data efficiently.
Learn about Data Model Manager, tables, relationships, and data tables in Power Pivot. Understand how data models improve reporting and reduce redundancy.
Learn to design a data model using Power Pivot. Create relationships between tables to generate reports without merging data manually.
Learn to create relationships in Power Pivot. Use drag-and-drop or the "Create Relationship" tool to link tables for accurate reports.
Understanding relationships in Power Pivot: Learn how primary and foreign keys connect tables, enabling meaningful reports. Normalization reduces redundancy!
Learn about DAX (Data Analysis Expressions) powers Power Pivot, enabling calculated columns & measures. Unlike Excel, DAX functions work on entire tables & relationships!
Learn DAX syntax in Power Pivot! Understand how to write DAX formulas, use fully qualified column names, follow naming rules, and create calculated columns. Master DAX for Power BI, Power Pivot & Excel!
Learn where to use DAX formulas in Power Pivot! Understand calculated columns, measures, and relationships between tables. See how to create and use them in Pivot Tables for dynamic data analysis.
Understand DAX operators! Learn about arithmetic, comparison, logical, IN, and text concatenation operators used in DAX formulas. Get ready to apply them in calculated columns and measures effectively.
Learn how to create calculated columns in Power Pivot using DAX formulas. Understand row-level calculations, text functions like LEFT, RIGHT, CONCATENATE, and SEARCH to derive new column values.
Learn how to create calculated columns in Power Pivot using DAX formulas. Understand row-level calculations, text functions like LEFT, RIGHT, CONCATENATE, and SEARCH to derive new column values.
Explore DAX measures in Power Pivot. Learn the difference between calculated columns and measures, how to create explicit and implicit measures, and how they dynamically generate values in a pivot table.
Learn about Key Performance Indicators (KPIs) in Power Pivot. Understand how KPIs provide visual performance measures, and see how to create and use them to evaluate sales targets and employee performance.
Learn how to use basic logical functions in DAX, such as IF, AND, OR, and ISBLANK. Understand how these functions can help you create calculated columns based on conditions, with practical examples like determining price remarks and mileage categories.
In this module, learn how to use the AND, OR, and ISBLANK functions in DAX to enhance your data analysis. Explore practical examples like creating vehicle remarks based on conditions and handling missing data with ISBLANK. See how to use these logical functions in pivot tables for dynamic reporting.
In this module, we explore the SWITCH function in DAX, which provides a simpler alternative to multiple nested IF statements. Learn how to use SWITCH to evaluate expressions and return specific results based on conditions, both with static values and more complex checks. Practical examples include creating weekday names from week numbers and categorizing delivery charges as low, medium, or high.
In this module, we learn about iterator functions in DAX, such as SUMX and MAXX, which iterate through each row of a table to evaluate expressions and apply aggregations like sum, max, or min.
In this module, we discuss the RANKX function, which ranks values in a table based on an expression. It offers options for ordering (ascending/descending) and handling ties (skip/dense)
Learn how to use filter functions like CALCULATE in Power Pivot to create dynamic measures, apply filters, and evaluate expressions based on specific conditions in this detailed tutorial.
In this module, we explore the FILTER function, which filters and returns a table based on specific conditions. Learn how it differs from CALCULATE and its impact on pivot table results.
In this module, we explore the ALL filter function, which removes any applied filters on a table or column, allowing you to calculate unfiltered totals. Learn how to use it in measures and pivot tables.
Learn about the RELATED function in Power BI to pull data from related tables. Understand how it works like VLOOKUP and integrates with table relationships for enriched data modeling.
Learn about the RELATEDTABLE function in Power BI to change context and evaluate table expressions with filters. Understand how it counts related rows based on table relationships.
Explore basic DAX date and time functions like DAY, MONTH, YEAR, HOUR, MINUTE, SECOND, and more. Learn how they help in time intelligence calculations for data analysis.
Learn how to create a date table in Power Pivot to work with DAX time intelligence functions. Understand its importance for calculating comparisons like sales over different periods.
In this module, we explore time intelligence functions in DAX, specifically the Year-to-Date (YTD), Quarter-to-Date (QTD), and Month-to-Date (MTD) functions. These functions help in calculating cumulative values for a given period, making it easier to analyze data across time.
In this module, we explore the Dates in Period function, which is another time intelligence function in DAX. This function allows you to create a table of dates starting from a specified start date and spanning a specified number of intervals, which can be in days, months, quarters, or years.
In this module, we delve into the Dates Between time intelligence function in DAX, which is used to filter and calculate values over a specified range of dates.
This video explains why a date table is necessary for time intelligence functions.
This video provides an introduction to Data Analysis Expression or DAX in Power BI and discusses some of the prerequisites for the course.
.This video explains the meaning and importance of different basic Power BI concepts, like data tables, lookup tables, the primary key, and cardinality.
This video provides an understanding of filter flow.
This video dives into DAX operators, for example, arithmetic and logical operators.
This video explains DAX engines, which are the formula engine and the storage engine.
This video explains the two storage engines — VertiPaq engine and DirectQuery.
This video talks about VertiPaq compression and encoding methodology.
This video provides a clear idea of hash encoding or dictionary encoding and run length encoding.
This video explains VertiPaq relationships with the help of an example to help build practical knowledge.
This video shows some of the frequently used DAX shortcuts that individuals can utilize to save time.
This video explains the DAX evaluation order.
This video shows how to create and utilize DAX variables.
This video provides detailed knowledge of DAX error handling.
This video explains scalar functions in Power BI and provides a practical understanding of aggregation functions.
This video provides a practical understanding of rounding functions.
This video explains information functions in Power BI.
This video dives into conversion functions, which convert the format of any value’s data type to another format.
This video provides a comprehensive understanding of some basic logical functions.
This video talks about the COALESCE function.
This video dives into the CALCULATE function.
This video explains the concept of context transition with regard to calculated columns.
This video provides a practical understanding of the CALCULATE function’s evaluation order.
This video explains the CALCULATE modifier with the help of examples.
This video discusses KEEPFILTERS, which is a CALCULATE modifier.
This video dives into table and filter functions.
This video provides a clear understanding of calculated tables
This video explains the VALUES function.
This video dives into the filtering tables category and discusses the SELECTEDVALUE function.
This video provides a practical understanding of the ALLEXCEPT function.
This video helps explain the ALLSELECTED column.
This video dives into table manipulation functions and gives an idea of the SELECTCOLUMN function.
This video explains ADDCOLUMNS and SUMMARIZE functions.
This video explains the ROW function.
This video provides a practical understanding of the table constructor.
This video explains calculated table joins.
This video explains the UNION function.
This video helps build practical knowledge of the EXCEPT function.
1This video provides an introduction to relationship functions in Power BI.
This video discusses the RELATED function.
This video talks about the RELATEDTABLE function.
This video talks about the RELATEDTABLE function.
This video explains the CROSSFILTER function with an example.
This video explains the TREATAS function.
This video dives into ITERATOR functions.
This video explains ITERATOR cardinality.
This video explains ITERATOR cardinality.
This video explains the AVERAGEX function.
This video provides a clear understanding of the RANKX function.
This video provides an introduction to time Intelligence functions.
This video explains the date table requirements.
This video explains the CALENDAR function.
This video explains the CALENDARAUTO function.
This video explains how to build a reusable data table.
This video provides a practical understanding of date formatting.
This video explains commonly used time intelligence functions.
This video explains the PREVIOUSQUARTER function.
This video explains the SAMEPERIODLASTYEAR function.
This video explains week-based calculations.
This video explains the process of calculating performance for the previous fiscal week.
This video explains the DAX pattern that one may utilize to calculate YTD and MTD.
This video explains how to use the previous year's parallel period functions in the fiscal calendar.
This video explains the data validation feature in Excel.
This video shows some examples of data validation to help build a practical understanding.
This video improves one’s understanding of how data validation works.
This video explains how to create a cascading list using data validation and the INDIRECT function.
This video shows how to use the advanced filter in Excel.
This video explains how to work with more features of the advanced filter tool in Excel.
This video shows how to apply the advanced filter using wildcard characters.
This video shows how to apply the filter with complex criteria.
This video shows how to use certain functions with the advanced filter.
This video shows number and text custom formatting.
This video dives into different types of advanced custom formatting using numbers and texts.
This video shows how to custom format dates.
This video provides an introduction to conditional formatting and how to do it based on text and duplicate values.
This video shows how to do conditional formatting on a numerical cell.
This video explains the different types of formatting that one can apply to cells based on conditions.
This video provides an understanding of conditional formatting based on complex rules.
This video provides an introduction to what-if analysis and how it works.
This video explains the goal seek tool in what-if analysis.
This provides a practical understanding of a scenario manager, which is another what-if analysis tool.
Modern analysts are expected to do far more than simply organize spreadsheets.
Today’s business environments require professionals who can analyze data, build dashboards, communicate insights clearly, and transform raw information into meaningful business decisions.
That’s exactly what this program is designed to help you do.
Welcome to the Excel to Power BI Analyst Bundle by ExcelMojo. This is a practical, project-based analytics and dashboarding program, which includes 5 specialized courses. We have designed it to help you build real-world reporting, visualization, dashboarding, and business intelligence skills using Microsoft Excel, Power BI, Power Pivot, and DAX.
Unlike traditional spreadsheet courses that focus only on formulas and tools, this program focuses heavily on analytical thinking, dashboard storytelling, visualization techniques, reporting workflows, and practical business intelligence applications.
The program begins with dashboarding fundamentals, where you’ll learn how to design effective dashboards for communicating insights clearly and supporting better business decision-making.
You’ll explore:
Dashboard design principles
Visual hierarchy
KPI communication
Dashboard storytelling
Chart selection
Layout design
Exploratory vs. explanatory dashboards
Audience-focused reporting
Business presentation workflows
As the program progresses, you’ll work on multiple real-world dashboard projects designed to simulate practical business analysis scenarios.
These projects include:
Mojo Music
Mojo Career
Mojo Toys
Mojo Hotel Group
Through these hands-on projects, you’ll learn how to:
Organize and analyze business data
Build interactive dashboards
Create KPI-driven reports
Develop analytical workflows
Improve dashboard usability
Communicate insights visually
Build reporting solutions for practical business scenarios
The program also includes Microsoft Power BI training, where you’ll learn how to:
Build interactive reports
Create dashboards
Work with slicers and filters
Build visualizations
Create analytical reports
Develop mobile dashboards
Publish reports
Create themes and custom visuals
Work with matrix visuals, maps, treemaps, scatter charts, and decomposition trees
You’ll also learn Power Pivot and DAX workflows used in modern business intelligence reporting.
The course covers:
Data models
Relationships
Calculated columns
Measures
Iterator functions
Filter functions
Analytical calculations
KPI reporting workflows
Time intelligence concepts
Reporting calculations
Business intelligence analysis
You’ll work with practical DAX functions, including:
CALCULATE
FILTER
ALL
RELATED
RELATEDTABLE
SUMX
MAXX
RANKX
YTD
QTD
MTD calculations
The program also introduces advanced analytical workflows, including:
Filter flow
Evaluation order
Context transition
VertiPaq concepts
DirectQuery concepts
Advanced DAX calculations
Advanced reporting workflows
Throughout the program, the focus remains heavily practical.
You’ll work through structured demonstrations, dashboard projects, reporting exercises, business intelligence scenarios, and hands-on analytical workflows designed to help you build practical analyst skills that can be applied in real-world business environments.
Whether you are a student, aspiring data analyst, reporting professional, MIS executive, business analyst, or accountant, this program is for you.
It is also ideal for Excel users transitioning into Power BI and professionals strengthening dashboarding and reporting skills. This program helps you develop practical analytics, dashboarding, and business intelligence skills using industry-relevant tools and workflows.
By the End of This Course, You Will Be Able To
Build professional dashboards and interactive analytical reports
Analyze and communicate business insights more effectively
Create KPI-driven reports and dashboard workflows
Build interactive Power BI reports and business intelligence dashboards
Apply dashboard storytelling and visualization best practices
Work with Power Pivot, data models, and DAX calculations confidently
Develop practical reporting and analytics workflows using Excel and Power BI
Build stronger dashboarding, visualization, and analytical skills for career growth
What Makes This Course Different
Focuses heavily on dashboards, reporting, and analytical storytelling instead of only tools and formulas
Includes multiple real-world dashboard and reporting projects
Combines Excel, Power BI, Power Pivot, and DAX into one structured analyst-focused learning program
Covers both dashboard design principles and technical implementation workflows
Emphasizes practical business intelligence and analytical communication skills
Includes hands-on reporting scenarios and project-based learning workflows
Designed to help learners transition from spreadsheet reporting to modern dashboarding and analytics workflows
About the Course Director
This course is designed and guided by Dheeraj Vaidya, CFA, FRM, Co-Founder of WallStreetMojo and ExcelMojo, with extensive experience in finance training and professional learning programs.
Dheeraj is an IIT and IIM alumnus and has previously worked with organizations such as JPMorgan and CLSA as an analyst. Over the years, he has helped more than 100,000 learners around the world through structured and industry-focused training programs.
As the course director, he focuses on building practical, structured, and application-oriented learning experiences with the aim of helping learners develop real-world analytical, reporting, and dashboarding skills.