Data Storytelling with Power BI (Coursera)

Offered by Edureka,
Data Storytelling with Power BI (Coursera)

Welcome to the Data Storytelling with Power BI course, where you'll embark on a journey to acquire practical expertise in data transformation and visualization. Leverage the potential of Power BI to craft narratives through structured data, leading to the discovery of more profound insights. Throughout this course, you'll explore the industry-specific applications of Power BI and delve into its various features and functionalities.

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

By the end of this course, you’ll be able to:
• Explain the different data sources present in Power BI Desktop.
• Demonstrate the use of Power Query Editor to clean and transform data.
• Manipulate data with the DAX formula and depict stories by using different visualization techniques.
• Apply Power BI Service features to elevate the quality of your Reports and implement Dashboards on Power BI Service.
• Create Reports and Dashboards on Power BI service utilizing its prevalent features.
• Implement Smart Narrative and Key Performance Indicators to enhance reports for a target audience.
This course is designed for a diverse audience: freshers, data analyst, business analysts, business intelligence analyst and IT professionals who are looking to enhance their data analysis skills through Power BI.
Prior experience with Microsoft Excel or spreadsheet applications can be beneficial when working with Power BI.
Embark on an educational voyage to master Microsoft Power BI and enhance your skills in creating efficient Reports and Dashboards using the Power BI ecosystem.

Syllabus

Data Modeling and Transformation
In this module, you will explore the world of business intelligence and derive stories from data and present them to a targeted audience. You will also learn to identify and implement transformations in data for visualization with Power BI Desktop.

Data Analysis Expression (DAX)
In this module, you will learn to manipulate data with DAX formulas to create measures and columns, operate these transformations with the help of DAX functions, and create relationships to manage data.

Data Visualization
In this module, you will learn to create data visuals with the help of common charts and custom visuals and understand how they work. We will also learn about the best practices that are to be followed while building paginated reports and dashboards.

Power BI Service
In this module, you will learn about Power BI Service, make use of the features after publishing reports and dashboards on the Service interface, manage Smart Narrative, use Q & A to draw more insights from data, secure reports and dashboards with security roles, and observe data lineage.

Course Wrap Up and Assessment
This module is designed to assess an individual on the various concepts and teachings covered in this course. Answer a comprehensive quiz which marks you as a learner who is confident in working with Power BI.

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Practical Python for AI Coding 2 (Coursera) Coursera
Korea Advanced Institute of Science and Technology - KAIST

Practical Python for AI Coding 2 (Coursera)

This course is for a complete novice of Python coding, so no prior knowledge or experience in software coding is required. This course selects, introduces and explains Python syntaxes, functions and libraries that were frequently used in AI coding. In addition, this course introduces vital syntaxes, and functions often used in AI coding and explains the complementary relationship among NumPy, Pandas and TensorFlow, so this course is helpful for even seasoned python users.

Aug 3rd 2026
5-12 Weeks
Data Science in Real Life (Coursera) Coursera
Johns Hopkins University

Data Science in Real Life (Coursera)

Have you ever had the perfect data science experience? The data pull went perfectly. There were no merging errors or missing data. Hypotheses were clearly defined prior to analyses. Randomization was performed for the treatment of interest. The analytic plan was outlined prior to analysis and followed exactly. The conclusions were clear and actionable decisions were obvious. Has that every happened to you? Of course not. Data analysis in real life is messy. How does one manage a team facing real data analyses? In this one-week course, we contrast the ideal with what happens in real life. By contrasting the ideal, you will learn key concepts that will help you manage real life analyses.

Jul 27th 2026
1 Week
Introducción a la Minería de Datos (Coursera) Coursera
Pontificia Universidad Católica de Chile

Introducción a la Minería de Datos (Coursera)

En este curso, aprenderás de manera gradual y práctica los conceptos básicos de Minería de Datos, junto a los algoritmos más utilizados hoy en día. Al finalizar el curso, serás capaz de entender la importancia de manejar la información y de explorar por ti mismo distintas bases de datos reales. Este curso es el primer paso para convertirte en un/a profesional con habilidades básicas de un científico de datos o Data Scientist, de manera tal que puedas abrirle la puerta al futuro.

Aug 10th 2026
5-12 Weeks
Building No-Code Apps with AppSheet: Implementation (Coursera) Coursera
Google Cloud

Building No-Code Apps with AppSheet: Implementation (Coursera)

This course teaches you how to implement various capabilities that include data organization and management, application security, actions and integrations in your app using AppSheet. The course also includes topics on managing and upgrading your app, improving performance and troubleshooting issues with your app.

Aug 10th 2026
3 Weeks
Data Visualization with Python & R for Engineers (Coursera) Coursera
Northeastern University

Data Visualization with Python & R for Engineers (Coursera)

The primary objective of this course is to offer students an opportunity to learn how to use visualization tools and techniques for data exploration, knowledge discovery, data storytelling, and decision making in engineering, healthcare operations, manufacturing, and related applications. This course covers basics of data mining and visualization, and Python. It also introduces students to static visualization charts and techniques that reveal information, patterns, interactions.

Aug 3rd 2026
4 Weeks
Visualization for Data Journalism (Coursera) Coursera
University of Illinois at Urbana-Champaign

Visualization for Data Journalism (Coursera)

While telling stories with data has been part of the news practice since its earliest days, it is in the midst of a renaissance. Graphics desks which used to be deemed as “the art department,” a subfield outside the work of newsrooms, are becoming a core part of newsrooms’ operation. Those people (they often have various titles: data journalists, news artists, graphic reporters, developers, etc.) who design news graphics are expected to be full-fledged journalists and work closely with reporters and editors.

Aug 10th 2026
5-12 Weeks
3D Data Visualization for Science Communication (Coursera) Coursera
University of Illinois at Urbana-Champaign

3D Data Visualization for Science Communication (Coursera)

This course is an introduction to 3D scientific data visualization, with an emphasis on science communication and cinematic design for appealing to broad audiences. You will develop visualization literacy, through being able to interpret/analyze (read) visualizations and create (write) your own visualizations.

Aug 10th 2026
4 Weeks
Big Data Analysis Deep Dive (Coursera) Coursera
Alibaba Cloud Academy

Big Data Analysis Deep Dive (Coursera)

The job market for architects, engineers, and analytics professionals with Big Data expertise continues to increase. The Academy’s Big Data Career path focuses on the fundamental tools and techniques needed to pursue a career in Big Data. This course includes: data processing with python, writing and reading SQL queries, transmitting data with MaxCompute, analyzing data with Quick BI, using Hive, Hadoop, and spark on E-MapReduce, and how to visualize data with data dashboards. Work through our course material, learn different aspects of the Big Data field, and get certified as a Big Data Professional!

Aug 3rd 2026
5-12 Weeks
Empathy, Data, and Risk (Coursera) Coursera
University of Illinois at Urbana-Champaign

Empathy, Data, and Risk (Coursera)

Risk Management and Innovation develops your ability to conduct empathy-driven and data-driven analysis in the domain of risk management. This course introduces empathy as a professional competency. It explains the psychological processes that inhibit empathy-building and the processes that determine how organizational stakeholders respond to risk.

Aug 3rd 2026
4 Weeks
Python and Statistics for Financial Analysis (Coursera) Coursera
The Hong Kong University of Science and Technology - HKUST

Python and Statistics for Financial Analysis (Coursera)

Python is now becoming the number 1 programming language for data science. Due to python’s simplicity and high readability, it is gaining its importance in the financial industry. The course combines both python coding and statistical concepts and applies into analyzing financial data, such as stock data.

Aug 10th 2026
4 Weeks