Learn Data Storytelling: Power BI Techniques (Coursera)

Offered by Edureka,
Learn Data Storytelling: Power BI Techniques (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.
This course is part of the Mastering Power BI for Data Analytics & Storytelling Specialization.

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

Building Data Visualization Tools (Coursera) Coursera
Johns Hopkins University

Building Data Visualization Tools (Coursera)

The data science revolution has produced reams of new data from a wide variety of new sources. These new datasets are being used to answer new questions in way never before conceived. Visualization remains one of the most powerful ways draw conclusions from data, but the influx of new data types requires the development of new visualization techniques and building blocks. This course provides you with the skills for creating those new visualization building blocks.

Sep 21st 2026
4 Weeks
Data Analytics for Lean Six Sigma (Coursera) Coursera
University of Amsterdam

Data Analytics for Lean Six Sigma (Coursera)

Welcome to this course on Data Analytics for Lean Six Sigma. In this course you will learn data analytics techniques that are typically useful within Lean Six Sigma improvement projects. At the end of this course you are able to analyse and interpret data gathered within such a project. You will be able to use Minitab to analyse the data. I will also briefly explain what Lean Six Sigma is.

Sep 28th 2026
5-12 Weeks
From Excel to Power BI (Coursera) Coursera
Knowledge Accelerators

From Excel to Power BI (Coursera)

Are you using Excel to manage, analyze, and visualize your data? Would you like to do more? Perhaps you've considered Power BI as an alternative, but have been intimidated by the idea of working in an advanced environment. The fact is, many of the same tools and mechanisms exist across both these Microsoft products. This means Excel users are actually uniquely positioned to transition to data modeling and visualization in Power BI! Using methods that will feel familiar, you can learn to use Power BI to make data-driven business decisions using large volumes of data.

Oct 5th 2026
1 Week
Data Modeling and Applications (Coursera) Coursera
Illinois Tech

Data Modeling and Applications (Coursera)

This course introduces the student to the use of a database management system to provide the software and database necessary to upgrade a DBMS system. Database structures, applications, network, relational and hierarchical data models, applicate programs development, query systems, file security, and the role of the database administrator will be studied. A course fee may apply.

Sep 28th 2026
5-12 Weeks
Demand Analytics (Coursera) Coursera
Rutgers University

Demand Analytics (Coursera)

Welcome to Demand Analytics - one of the most sought-after skills in supply chain management and marketing! Through the real-life story and data of a leading cookware manufacturer in North America, you will learn the data analytics skills for demand planning and forecasting.

Sep 21st 2026
4 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.

Sep 28th 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!

Sep 28th 2026
5-12 Weeks
Visual Analytics with Tableau (Coursera) Coursera
University of California, Davis

Visual Analytics with Tableau (Coursera)

In this third course of the specialization, we’ll drill deeper into the tools Tableau offers in the areas of charting, dates, table calculations and mapping. We’ll explore the best choices for charts, based on the type of data you are using. We’ll look at specific types of charts including scatter plots, Gantt charts, histograms, bullet charts and several others, and we’ll address charting guidelines.

Sep 21st 2026
4 Weeks
Python Data Visualization (Coursera) Coursera
Rice University

Python Data Visualization (Coursera)

This if the final course in the specialization which builds upon the knowledge learned in Python Programming Essentials, Python Data Representations, and Python Data Analysis. We will learn how to install external packages for use within Python, acquire data from sources on the Web, and then we will clean, process, analyze, and visualize that data. This course will combine the skills learned throughout the specialization to enable you to write interesting, practical, and useful programs.

Oct 2nd 2026
4 Weeks