Data Storytelling with PowerBI

Data Storytelling with PowerBI, available at $49.99, has an average rating of 4.15, with 61 lectures, based on 35 reviews, and has 6124 subscribers.

You will learn about Discover the role of the data storyteller in the modern workplace and the power of data literacy as a common language to drive business outcomes. Use the 7-Step Data Storytelling Framework to effectively deliver insights from data using insights from data, visuals and narrative. Develop an underlying hypothesis and relevant questions for business problems and opportunities. You will uncover tools for critical thinking. Transform data for business use. Data is useless without proper preparation to ensure consistency and fitness for use for your data story scenarios. Explore and create data visualizations to bring focus to insights and heighten emotions. Logic informs but emotions persuade. The combination is powerful. Use the power of data mining to find hidden insights. You will uncover the data mining capabilities of PowerBI for quick deep dive analysis. Use narratives to frame your insights for impact. A thoughtful narrative acts as a glue for important insights and the formula to build rapport. Tell the story to engage the audience. You will present your insights in different mediums tailored to different stakeholder types. This course is ideal for individuals who are Data analysts and data scientists wishing to create compelling insights from data. or Executives wishing to embrace modern data literacy skills to influence. or Those aspiring to work in the modern workplace. or Working professionals who wish to learn transferable data literacy skills. It is particularly useful for Data analysts and data scientists wishing to create compelling insights from data. or Executives wishing to embrace modern data literacy skills to influence. or Those aspiring to work in the modern workplace. or Working professionals who wish to learn transferable data literacy skills.

Enroll now: Data Storytelling with PowerBI

Summary

Title: Data Storytelling with PowerBI

Price: $49.99

Average Rating: 4.15

Number of Lectures: 61

Number of Published Lectures: 61

Number of Curriculum Items: 61

Number of Published Curriculum Objects: 61

Original Price: $129.99

Quality Status: approved

Status: Live

What You Will Learn

Discover the role of the data storyteller in the modern workplace and the power of data literacy as a common language to drive business outcomes.
Use the 7-Step Data Storytelling Framework to effectively deliver insights from data using insights from data, visuals and narrative.
Develop an underlying hypothesis and relevant questions for business problems and opportunities. You will uncover tools for critical thinking.
Transform data for business use. Data is useless without proper preparation to ensure consistency and fitness for use for your data story scenarios.
Explore and create data visualizations to bring focus to insights and heighten emotions. Logic informs but emotions persuade. The combination is powerful.
Use the power of data mining to find hidden insights. You will uncover the data mining capabilities of PowerBI for quick deep dive analysis.
Use narratives to frame your insights for impact. A thoughtful narrative acts as a glue for important insights and the formula to build rapport.
Tell the story to engage the audience. You will present your insights in different mediums tailored to different stakeholder types.

Who Should Attend

Data analysts and data scientists wishing to create compelling insights from data.
Executives wishing to embrace modern data literacy skills to influence.
Those aspiring to work in the modern workplace.
Working professionals who wish to learn transferable data literacy skills.

Target Audiences

Data analysts and data scientists wishing to create compelling insights from data.
Executives wishing to embrace modern data literacy skills to influence.
Those aspiring to work in the modern workplace.
Working professionals who wish to learn transferable data literacy skills.

The ability to weave data stories using data and visuals – is the future of the modern workplace.

Data storytelling is developing as an essential skill in the modern workplace and one of the main means of delivering insights from analytics. In this course we will explore data storytelling to extract, understand and effectively communicate insights in a compelling manner. The goal is positive business outcomes, strategic insights and improved team collaboration.

Stories have historically been the tool of leaders and influencers – simplifying the world around us, uniting communities and making a lasting impact. Your favorite series, brands, marketers and leaders use stories to build engagement and to communicate key values and insights. Similarly in the complex world of data – stories combining data visuals and key insights – cut through the clutter – engage with logic and emotion and drive actionable outcomes. Data storytelling is a powerful means to share insights and drive change within an organization.

In this course we will use the 7-step data storytelling framework to find the value in data and tailor it to the needs of stakeholders using visuals and a compelling narrative. This is a simple step-by-step framework to delve into data – find those underlying questions and communicate an actionable outcome.

You will use the Microsoft PowerBI data visualization tool to create practical solutions with techniques you can tailor to your needs. The solutions will be quick and easy to implement requiring no coding knowledge. Remember – this course is designed for anyone – requiring no practical experience.

Join thousands embracing exciting modern data literacy skills and make a practical impact on your life.

Course Curriculum

Chapter 1: Why data storytelling is important

Lecture 1: Why is data storytelling important

Lecture 2: The magic of data storytelling

Lecture 3: The role of the data storyteller

Chapter 2: How to install PowerBI Desktop

Lecture 1: How to install PowerBI Desktop

Chapter 3: Finding insights using data visualization

Lecture 1: Building your hypothesis

Lecture 2: Framing your visual with insights

Lecture 3: Transforming your data for visuals

Lecture 4: The fall of Enron scenario

Lecture 5: Tools for focusing insights

Lecture 6: Exercise: Visualizing social network relationships

Lecture 7: Exercise: Minard map

Chapter 4: Storyteller data mining

Lecture 1: Introduction

Lecture 2: Why data mining is important

Lecture 3: Relationship visuals

Lecture 4: Parts to whole visuals

Lecture 5: Visual data mining

Lecture 6: Scenario: World happiness index

Lecture 7: Clustering and visualizing associations in data

Lecture 8: Exercise: Exploring relationships with correlation plot

Lecture 9: Exercise: K-means clustering unsupervised learning

Lecture 10: Exercise: Root cause analysis with decomposition tree

Lecture 11: Exercise: Hidden insights with key influencers

Lecture 12: Exercise: Analytics dashboard – Chicago crime

Lecture 13: Exercise: Smoothing data points

Lecture 14: Exercise: Boxplot analysis

Chapter 5: The magic of Gestalt

Lecture 1: What is Gestalt?

Lecture 2: Visual design principles

Lecture 3: Proximity

Lecture 4: Similarity

Lecture 5: Closure, connection and order

Lecture 6: Isomorphic correspondence and contrast

Lecture 7: Hierarchy patterns

Lecture 8: Exercise: Real-time dashboard – load data

Lecture 9: Exercise: Real-time dashboard – transform data

Lecture 10: Exercise: Real-time dashboard – visualize data

Lecture 11: Exercise: Force network graphs for social networks

Chapter 6: Engaging with the narrative

Lecture 1: The role of the narrative

Lecture 2: The comic style narrative

Lecture 3: The eight visual story types

Lecture 4: Scenario: Health and wealth of nations

Lecture 5: Zooming through your narrative

Lecture 6: The contrasting story

Lecture 7: An intersection of insights

Lecture 8: Shock and awe

Lecture 9: Hooking your audience

Lecture 10: Springing tension

Lecture 11: The ingredients for powerful insights

Lecture 12: The cliffhanger

Lecture 13: Exercise: Multifaceted small multiples

Lecture 14: Exercise: Narrative over time

Lecture 15: Exercise: Stepper narrative – Facebook IPO launch

Lecture 16: Exercise: Dynamic narrative over time – Health and wealth data load

Lecture 17: Exercise: Dynamic narrative over time – Health and wealth transformation

Lecture 18: Exercise: Dynamic narrative over time – Health and wealth visualization

Lecture 19: Exercise: Zoom and filter – Navigating stock hierarchies

Chapter 7: Telling the data story

Lecture 1: Telling your data story

Lecture 2: Tailoring the data story to the audience

Lecture 3: Creating your persona

Lecture 4: Connecting with the audience

Lecture 5: AI data stories

Lecture 6: Exercise: Augmenting your delivery

Instructors

Lyle Petersen
Business Intelligence Trainer (PMP®, CSM®, PMI-PBA®)

Rating Distribution

1 stars: 1 votes
2 stars: 3 votes
3 stars: 7 votes
4 stars: 10 votes
5 stars: 14 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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