
This video explains how to use the LOWER, UPPER, and PROPER text functions
This video provides a practical understanding of LEFT, RIGHT, MID, and CONCATENATE functions.
The video explains the TRIM function with examples.
The video dives into the LEN function and provides an example to show how it works.
This video provides an explanation of the SEARCH function with an example.
This video shows how to use math functions like ROUNDUP, ROUNDDOWN, and ROUND.
This video explains the MROUND function in detail by showing an example.
This video explains how to use the SUMPRODUCT and POWER functions.
This video provides a practical understanding of the MOD function.
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This video explains date and time functions, for example, DATEVALUE, NOW, and TIMEVALUE, with the help of examples.
This video explains other date and time functions, for example, WEEKDAY and MONTH.
The video provides a practical understanding of the DATEDIF function.
This video explains the DATE function with the help of an example.
This video offers a detailed understanding of the TIME function.
This video provides a practical understanding of the IF function.
This video explains the nested IF function.
This video provides a practical understanding of two logical functions — OR and AND.
This video dives into SUMIF, AVERAGEIF, and COUNTIF and provides examples.
This video provides a practical understanding of SUMIFS, COUNTIFS, and AVERAGEIFS.
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 introduction to the course and gives an idea of the different topics that will be covered.
This video explains the different benefits of using macros. For instance, the automation of repetitive tasks and the minimization of errors.
This video shows how one can enable the developer tab in Excel.
This video provides a clear understanding of the differences between macros and VBA.
This video dives into the different methods that one can use to start recording macros.
This video shows how individuals have to save a macro-enabled Excel workbook.
This video explains how to run macros with an example to develop a practical understanding.
This video helps us understand the Visual Basic Editor.
This video shows how individuals can use relative referencing for macros.
This video explores dynamic macros utilizing the special cells option.
This video dives into debugging errors when working with macros.
This video dives into the meaning and importance of Visual Basic for Applications (VBA).
This video covers the core building blocks of VBA programming — Objects, Subs, and Functions.
This video is the second part of the explanation regarding Objects, Subs, and Functions.
This video explores the concept of variables in VBA, explaining why they are important and how one can use them with examples.
This video dives into the concept of loops and their importance in VBA programming. It also provides a practical understanding of how one can utilize them with the help of an example.
This video continues explaining loops in VBA programming.
This video provides an explanation regarding conditional programming in VBA, which enables one to make decisions and automate tasks on the basis of certain conditions.
This video explains arrays, which can significantly improve Excel VBA coding skills.
This video helps learners understand events in VBA.
This video provides practical knowledge regarding debugging.
This video provides a practical understanding of how to handle errors that may arise during the execution of macros.
This video dives into use cases and provides examples to improve the understanding of macros.
This video continues the explanation regarding use cases and shows examples to understand the real-world applicability of macros.
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 shows how one can create 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 explains how to do group by transformation utilizing Power BI.
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.
Modern businesses rely heavily on dashboards, reporting, automation, and data-driven decision-making.
Whether you work in MIS, reporting, operations, analytics, finance, administration, or business management, the ability to analyze data, automate repetitive tasks, and build professional dashboards has become one of the most valuable workplace skills today.
This comprehensive training program is designed to help you build practical Excel, dashboarding, VBA automation, and Power BI skills through structured lessons, hands-on projects, and real-world reporting workflows.
Unlike traditional Excel courses that focus only on formulas or isolated features, this course takes a more practical and comprehensive approach. It combines Excel functions, dashboarding, data visualization, VBA automation, Power BI reporting, DAX calculations, interactive reporting workflows, and business intelligence concepts into one structured learning program.
The course begins with Excel fundamentals and practical formulas commonly used in business reporting and analytical workflows.
You’ll learn:
Text functions
Mathematical functions
Date and time functions
Logical functions
Conditional formulas
Aggregation workflows
Practical reporting techniques
The course covers functions such as:
LOWER
UPPER
PROPER
LEFT
RIGHT
MID
CONCATENATE
TRIM
LEN
SEARCH
ROUND
SUMPRODUCT
MOD
DATEVALUE
DATEDIF
IF
SUMIF
COUNTIF
SUMIFS
COUNTIFS
AVERAGEIFS
As the course progresses, you’ll move into one of the strongest sections of the program: dashboarding and data visualization.
You’ll learn:
Dashboard design principles
Data storytelling
Visual hierarchy
KPI communication
Chart selection
Dashboard layouts
Visualization best practices
Audience-focused reporting
Explanatory and exploratory dashboards
The course includes multiple hands-on dashboard projects where you’ll build interactive dashboards from scratch using practical business scenarios.
Through these projects, you’ll work with:
KPI cards
Line charts
Bar charts
Doughnut charts
Combo charts
Maps
Slicers
Filters
Form controls
Dashboard layouts
Storytelling workflows
Interactive reporting experiences
You’ll also learn how to:
Structure and prepare data
Build responsive dashboards
Improve dashboard readability
Create interactive experiences
Highlight trends effectively
Use colors strategically
Improve storytelling through visualization
Prepare dashboards for sharing and collaboration
The course additionally includes VBA and Macros training to help automate repetitive Excel workflows and improve productivity.
You’ll learn:
Macro recording
Relative referencing
Dynamic macros
VBA fundamentals
Variables
Loops
Arrays
Conditional programming
Events
Debugging
Error handling
Automation workflows
The VBA section also includes practical case studies and real-world automation examples.
As the program progresses further, you’ll move into Microsoft Power BI training and learn how to:
Create Power BI reports
Build interactive dashboards
Work with tables and matrix visuals
Create slicers and filters
Build charts and visualizations
Publish reports
Create mobile dashboards
Apply themes and custom visuals
Create interactive reporting workflows
The course also introduces DAX and Power BI data modeling concepts.
You’ll learn:
Calculated columns
DAX measures
Aggregation functions
Filter functions
Relationships
DAX date functions
Power Query Editor basics
Query transformations
Group-by transformations
Reporting workflows
Throughout the course, the focus remains highly practical and project-oriented.
You’ll work through structured reporting workflows, dashboard projects, VBA automation examples, and Power BI exercises throughout the course. These practical examples are designed to help you develop real-world reporting and analytical skills.
Whether you are a beginner learning Excel and Power BI, an MIS professional, a reporting executive, an aspiring business analyst, an operations professional, or an accountant, this course is designed to help you build practical reporting and analytical skills.
It is also suitable for Excel users looking to improve dashboarding skills and working professionals aiming to strengthen reporting, automation, and business intelligence capabilities using industry-relevant tools and workflows.
By the End of This Course, You Will Be Able To
Build professional dashboards and analytical reports in Excel and Power BI
Create interactive reporting workflows and dashboard experiences confidently
Apply data visualization and storytelling best practices effectively
Automate repetitive reporting tasks using Macros and VBA
Work with Power BI reports, visualizations, slicers, and dashboards
Use DAX calculations and relationships for analytical reporting workflows
Build responsive and user-friendly dashboard experiences
Develop practical reporting, automation, and business intelligence capabilities
What Makes This Course Different
Combines Excel, dashboards, VBA, and Power BI into one structured training program
Includes multiple hands-on dashboard projects and practical reporting workflows
Covers dashboard storytelling and visualization principles alongside technical implementation
Focuses heavily on practical business reporting and automation workflows
Includes VBA automation and Power BI reporting concepts in one course
Emphasizes interactive dashboards, visualization clarity, and reporting usability
Features a structured beginner-to-advanced progression to ensure that learners develop practical understanding
About the Course Director
This course is designed by Dheeraj Vaidya, CFA, FRM, Co-Founder of WallStreetMojo and ExcelMojo. He has 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 train learners worldwide through structured and industry-focused finance, analytics, Excel, and business intelligence training programs.
As the director of this course, he focuses on creating structured, practical, and application-oriented learning experiences that simplify complex concepts and help learners apply them confidently in real-world business environments.