In this course, you鈥檒l learn to communicate insights in ways that drive real decisions. You鈥檒l explore how to choose the right format to present your findings and tailor your message to technical and non-technical audiences.

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Data Storytelling
Dieser Kurs ist Teil von DeepLearning.AI Data Analytics (berufsbezogenes Zertifikat)

Dozent: Sean Barnes
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Empfohlene Erfahrung
Was Sie lernen werden
Design visualizations and dashboards that effectively communicate insights
Present findings to stakeholders and align them with business goals
Build your resume, portfolio, and create a job search strategy as a data analyst
Kompetenzen, die Sie erwerben
- Kategorie: Dashboard
- Kategorie: Interviewing Skills
- Kategorie: Looker (Software)
- Kategorie: Data Visualization Software
- Kategorie: Power BI
- Kategorie: Data Visualization
- Kategorie: Technical Communication
- Kategorie: Data Presentation
- Kategorie: Professional Networking
- Kategorie: Data Storytelling
- Kategorie: Stakeholder Engagement
- Kategorie: LinkedIn
- Kategorie: Tableau Software
Wichtige Details

Zu Ihrem LinkedIn-Profil hinzuf眉gen
Juni 2025
22 Aufgaben
Erfahren Sie, wie Mitarbeiter f眉hrender Unternehmen gefragte Kompetenzen erwerben.

Erweitern Sie Ihr Fachwissen im Bereich Data Analysis
- Lernen Sie neue Konzepte von Branchenexperten
- Gewinnen Sie ein Grundverst盲ndnis bestimmter Themen oder Tools
- Erwerben Sie berufsrelevante Kompetenzen durch praktische Projekte
- Erwerben Sie ein Berufszertifikat von DeepLearning.AI zur Vorlage

In diesem Kurs gibt es 4 Module
This module explores the art and strategy of data storytelling, an essential skill for communicating insights effectively in business and technical contexts. You'll learn how data storytelling differs from traditional reporting by focusing on narrative, context, and audience engagement. Through hands-on practice, you'll develop data stories with a clear arc, highlight key findings, and tailor your message to different formats including memos, dashboards, notebooks, and slide decks. You'll also learn how to document your work clearly with elements like data sources, refresh dates, and version control to build trust and transparency with stakeholders.
Das ist alles enthalten
14 Videos3 Lekt眉ren5 Aufgaben1 Unbewertetes Labor
This module introduces the principles of effective data visualization and reporting using Tableau. You鈥檒l begin by creating a Tableau Public account and building your first workbook. Then, through guided practice and scenario-based exercises, you鈥檒l learn to choose the right type of insight and visualization鈥攕uch as line charts, heat maps, or geographic plots鈥攖o match your audience and goals. You鈥檒l also explore how to write clear summaries that highlight key findings and support decision-making. Finally, you'll apply design best practices for color, typography, and layout, including how to align with brand guidelines to create visually consistent and impactful reports.
Das ist alles enthalten
17 Videos9 Lekt眉ren6 Aufgaben
In this module, you'll build a strong foundation in data visualization and dashboard creation, with a focus on using Tableau effectively. You鈥檒l start by exploring key features of Tableau and other common visualization tools, then move on to best practices in dashboard design and delivery formats such as subscriptions, scheduled reports, and interactive dashboards. You'll gain hands-on experience connecting to data from one or more tables, using joins and unions, and distinguishing between dimensions and measures. You鈥檒l also perform data transformations with basic calculations and field edits. To support the design process, you鈥檒l create mock-ups and wireframes, and then bring them to life by building a variety of static and interactive visualizations in Tableau鈥攔anging from bar and pie charts to tree maps and dual-axis maps. Finally, you鈥檒l add filters and tooltips, optimize dashboard performance, and deploy your work to ensure accessibility across platforms.
Das ist alles enthalten
12 Videos6 Lekt眉ren6 Aufgaben
This module guides you through the key stages of the job search process, from identifying opportunities to succeeding in interviews. You'll learn to interpret job listings, distinguish between hard and soft requirements, and apply strategies for finding roles that align with your skills. You'll explore the importance of networking and how to build professional connections both online and in person. The module also covers optimizing your LinkedIn profile, crafting resumes with strong bullet points and formatting, and creating a compelling portfolio that highlights your data analytics work. You鈥檒l leverage generative AI tools to tailor application materials and practice interview techniques using the STAR method and simulation tools鈥攑reparing you to confidently pursue a career in data analytics.
Das ist alles enthalten
7 Videos17 Lekt眉ren5 Aufgaben
Erwerben Sie ein Karrierezertifikat.
F眉gen Sie dieses Zeugnis Ihrem LinkedIn-Profil, Lebenslauf oder CV hinzu. Teilen Sie sie in Social Media und in Ihrer Leistungsbeurteilung.
Dozent

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Bewertungen von Lernenden
14 Bewertungen
- 5 stars
85,71听%
- 4 stars
7,14听%
- 3 stars
0听%
- 2 stars
7,14听%
- 1 star
0听%
Zeigt 3 von 14 an
Gepr眉ft am 2. Juli 2025
A wonderful course which introduces key concepts and give practical insights. Highly recommended for professionals as well as fresh graduates.
Gepr眉ft am 8. Juli 2025
Thorough dive into the use and application of Tableau for data visualization and Data Story Telling. I completely enjoyed the class, and I highly recommend it.

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H盲ufig gestellte Fragen
To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you enroll in the course, you get access to all of the courses in the Certificate, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don鈥檛 give refunds, but you can cancel your subscription at any time. See our full refund policy.
Weitere Fragen
Finanzielle Unterst眉tzung verf眉gbar,