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Power BI: Data Visualization and Analysis

Name: Power BI: Data Visualization and Analysis
Rating: 4.2 (11 reviews)

4.211 ratings at Coursera

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Overview

This course is designed to provide a comprehensive foundation in Power BI, equipping learners with the skills to visualize, analyze effectively, and present data insights. Participants will explore a variety of chart types, understand their applications, and optimize visual reporting for business intelligence.

The course begins with an introduction to various bar and column charts, including stacked bar, stacked column, clustered bar, and clustered column charts, essential for comparative analysis. Learners will then progress to line charts, pie charts, funnel charts, scatter charts, and map charts, providing insights into trends, distributions, and geographical data.

Participants will gain hands-on experience working with table and matrix visuals, understanding the role of filters and KPI visuals for tracking performance metrics. Special emphasis is placed on card visuals, report types in Power BI, and designing analytical report layouts for clarity and impact.

Advanced visualization techniques, including ribbon charts, waterfall charts, and gauge charts, will be explored alongside methods for selecting appropriate report visuals. Additionally, learners will delve into integrated visuals, such as line and stacked column charts, line and clustered column charts, ensuring effective multi-dimensional analysis.

This course is structured into multiple modules, each featuring lessons and video lectures that provide both theoretical understanding and hands-on practice. Participants will engage with 3:00–4:00 hours of instructional content, reinforcing learning through graded and ungraded assignments to ensure real-world applicability.

Module 1 - Power BI Visualizations: Essential Charts for Data Storytelling

Module 2 - Power BI Visualizations: KPI Insights and Reporting

Whether you're preparing for Power BI certification or seeking to optimize business intelligence workflows, this course equips you with the essential skills to master visualization techniques and enhance data-driven decision-making.

The course is for Business Managers, Data Analysis Managers, Digital Marketing Managers, Power BI Associates and Experts.

Syllabus 2

Power BI Visualizations: Essential Charts for Data Storytelling 3 hours
This module provides a comprehensive understanding of Power BI visualization techniques, equipping learners with the skills to create impactful charts and graphs for data storytelling. Participants will explore various chart types, including stacked and clustered bar charts, column charts, line cha…
Power BI Visualizations: KPI Insights, and Reporting 3.5 hours
This module provides a comprehensive understanding of Power BI visualization techniques, equipping learners with the skills to design impactful reports using various chart types and visual elements. Participants will explore matrix visuals, filters, KPI indicators, card visuals, and different repor…

Advantages and disadvantages

Advantages

Structured courses with graded quizzes, assignments and deadlines you can reset.
A shareable certificate from the university or company when you pay.
Financial aid is often approved for students in India (apply 15 days before you need it).
Self-paced: start any time.
A clear syllabus (2 parts) you can see before you start.

Disadvantages

Paid after a 7-day free trial (Coursera Plus or per course).
Some courses can be audited for free, but graded work and certificates need payment.

Some points apply to every course of this kind; see how we rank.

This course is paid. Here is how to take it for free

Free trials: You can start a 7-day free trial for many individual courses, Specializations, or a Coursera Plus subscription to test full course features. Cancel before the seventh day if you do not want to be charged.
Financial aid: If you cannot afford the fee for a certificate, you can apply for financial aid through the link on the course home page by filling out an application about your background and goals.