Data Storytelling with PowerBI - 2023
1 : Data Storytelling with PowerBI - 2023
Communicate powerful insights from complex data simply and efficiently. Engage with real-world actionable scenarios.
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"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.
Data Storytelling with PowerBI - 2023 | Udemy Discount
What you'll learn
- Discover the role of the data storyteller in a modern workplace.
- Leverage the 7-Step Data Storytelling Framework™ to effectively deliver insights from data using insights from data, visuals and narrative.
- Create practical solutions which can be tailored to your needs.
- Learn to develop an underlying hypothesis.
- Learn to transform data for business use.
- Explore and create data visualizations to bring focus to insights and heighten emotions.
- Leverage the power of data mining to find hidden insights.
- Leverage narratives to frame your insights for impact.
- Learn to tell the story to engage the audience.
Who this course is for:
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 three key elements of data storytelling
Through a structured approach, data storytelling and data visualization work together to communicate your insights through three essential elements: narrative, visuals, and data.
But what sets data storytelling apart from data visualization (or data viz)? Human communication. While data viz helps us better memorize and digest information, Data Storytelling helps to persuade and make informed business decisions. Fast.
Data Storytelling with PowerBI - 2023 | Udemy
The plot is arguably the most important aspect of any story about data: know what questions you want to answer and how you'll answer them. If you aren't sure, it'll be harder to communicate your findings in a way that's relevant.
The first step to creating a compelling data story is to understand who you are talking to and what they care about. Your audience may have different levels of data literacy, backgrounds and goals, so you need to tailor your message accordingly.
Most elements of short stories can be characterized as falling under one of four C-word descriptions. (“Most” because there is always evidence of breaking writing rules effectively.) They are character, conflict, change, and context.
- Find the story within the data.
- Consider your audience.
- Determine what data matters.
- Analyze data and find insights.
- Identify the most effective data visualizations.
- Provide context.
- Structure your story.
- Edit until the story is clear and concise.
Data Storytelling with PowerBI - 2023 | Udemy Deals
Stories are similar to dashboards because they also use visualizations to share your insights. Stories differ from dashboards because they provide an over-time narrative and can convey a conclusion or recommendation.
- Characters: introduce the people involved. ...
- Conflict: the lesson is often illustrated in how the character transforms through challenge. ...
- Resolution: how did the character(s) change?
- Exposition.
- Rising Action.
- Climax.
- Falling Action.
- Conclusion.
- Find data that supports your story. The first step in telling a data narrative depends on finding data that supports the story. ...
- Layer information for understanding. ...
- Design to reveal. ...
- Beware the false reveal. ...
- Tell it fast.
- 1 Immerse your audience in a story.
- 2 Tell a personal story.
- 3 Create suspense.
- 4 Bring characters to life.
- 5 Show. Don't tell.
- 6 Build up to a S.T.A.R. moment.
- 7 End with a positive takeaway.
INSTRUCTOR
Lyle Petersen
