
Build end-to-end e-commerce dashboards in Power BI via a practical, problem-statement driven course, from UX design in PowerPoint to interactive sales, product, and customer dashboards.
Please to follow along with the course, download the version of Power BI used in the course from the download folder of this lecture.
Master the Power BI design view in Power BI desktop, navigating the report, data, and model views, and organizing pages while preparing data and visuals for dashboards.
Learn how Power BI's two environments work—the design view and Power Query Editor—and how to transform data before loading it, using Get Data, Transform Data, and Close and Apply.
Perform basic data transformation in Power Query: remove unwanted columns and nulls, promote headers, and manually set data types, then save and apply changes to load into Design View.
Transform data in power bi using power query editor to clean product inventory, remove unwanted columns, split and extract strings, and auto-detect data types before loading with close and apply.
This lecture provides solutions to the data transformation assignment in Power BI, guiding you through cleaning data in Power Query Editor by removing unused columns and auto-detecting data types.
Explore Power BI visualizations by building charts like stacked and pie charts to show total sales by branch and a table of sales, cost, and profit by product.
Design a Power BI ecommerce dashboard by creating a summary page with total sales, cost, and profit, plus date-filtered KPIs, and import image from pixels.com via PowerPoint into Power BI.
Power BI builds an ecommerce sales summary page that filters total sales, cost, and profit by date ranges with a slicer. It covers aligning measures and styling a transparent background.
Explore data analysis essentials with Power BI, transforming data, handling nulls, and building a sales summary page with DAX to meet client requirements and practice for mastery.
Plan the layout on paper, then design a PowerPoint ecommerce dashboard using rectangle shapes, solid background colors, no outlines, and a bold label 'e-commerce analysis sales dashboard'.
Develop PowerPoint layouts by adding shapes, aligning text left, applying font size 18 in Arial, bolding text, and creating white rounded-rectangle cards for a clean, sample-driven dashboard design.
Design final PowerPoint layout by creating shapes, inserting icons, and adding labeled text such as total sales versus last year, then export the slide as an image for Power BI.
Develop an ecommerce sales dashboard in Power BI by importing a PowerPoint layout, building total sales, total cost, and profit visuals, and tuning card formatting for clear metrics.
Create a tabular visual to show sales by branch, including total orders, total sales, total cost, and profit, using a distinct-count measure and Power BI table formatting.
Create a profit by product bar chart in Power BI, display the top 20 products, configure the y-axis with product name, add profit as the value, and format data labels.
Change display units from auto to none, set data labels for the bar chart, and create a profit by gender donut chart with legend and color tweaks.
Use smart narrative in Power BI to automatically summarize sales data, highlighting the most profitable product and the branch with the highest sales.
Build top ten products by sales and profit in Power BI, apply top ten filters, and identify least performing products with a min sales measure while formatting stacked bar visuals.
Create and format a Power BI product dashboard that calculates profit and expected profit per product with a calculated column and EP measure, highlighting top branches and products.
Design a PowerPoint layout for an ecommerce dashboard, customize sections and sizes, export the slide as an image, and prepare assets to import into Power BI for dashboard development.
Build a customer dashboard in Power BI using a matrix visual to show each customer's total orders, total sales, and branch from adventureworks database, with header formatting and conditional formatting.
Create customized orders by gender, occupation, and marital status with donut charts in Power BI. Learn formatting details—labels, legends, titles, and colors for clear dashboards.
Count all customers and total orders, and show the top customer by sales in a Power BI ecommerce dashboard. Use a distinct count on customer key and a top-1 filter.
Create a customer dashboard in Power BI that visualizes total orders by month with a stacked column chart, using a calendar table and formatted data labels.
Enable action-based navigation in Power BI by using a page navigation arrow and a page navigator to move between the sales dashboard, summaries page, and customize dashboard.
Add and customize page navigation in Power BI using navigator and back buttons to move between sales dashboard, product dashboard, and customer dashboard with precise styling.
Add slicers to dashboards to filter by year and month in Power BI; format slicers, create a calendar table, sort months, and sync across multiple dashboards.
Create a tooltip page in Power BI to show profit by month when hovering over a product. Tune the area chart and colors; enable slicers for tooltips on the dashboard.
Learn how to create a Power BI service account, use your organization's email, and publish your report to share with colleagues, friends, and your boss.
Link dashboards with navigation, add slicers for year and month, customize tooltips, and display a count on Power BI service, then deploy and share the dashboard with collaborators.
This course is packed with practical concepts and hands-on projects to give students the experience they need to succeed in their analytic careers. Taught by industry experts with years of experience in data analysis implementation. The curriculum is designed after many interviews with employers to understand their needs and requirements for the role of a data analyst in their organizations.
The course starts from fundamentals to advanced concepts so learners of any level of experience can join. The course also takes you from zero to hero in data analysis. Throughout this course, you will be doing projects from the first modules to the final module. You will learn by doing projects so you will finish the course with a portfolio of projects to show to recruiters.
This course will expose learners to the practical concepts of data and analytics. In this course, students will learn about data analytics concepts such as what data is, types of data, types of analytics and tools used in data analysis. Students will learn the six core processes of data analysis and how to build and deploy analytical solutions from start to finish using the latest business intelligence tools. At the end, you will master data analysis the way it’s done in corporate organizations