DeepLearning.AI

Data Storytelling

Sean Barnes

位教师:Sean Barnes

3,583 人已注册

深入了解一个主题并学习基础知识。
4.8

(17 条评论)

初级 等级

推荐体验

2 周 完成
在 10 小时 一周
灵活的计划
自行安排学习进度
深入了解一个主题并学习基础知识。
4.8

(17 条评论)

初级 等级

推荐体验

2 周 完成
在 10 小时 一周
灵活的计划
自行安排学习进度

您将学到什么

  • 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

要了解的详细信息

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最近已更新!

June 2025

作业

22 项作业

授课语言:英语(English)

了解顶级公司的员工如何掌握热门技能

Petrobras, TATA, Danone, Capgemini, P&G 和 L'Oreal 的徽标

积累 Data Analysis 领域的专业知识

本课程是 DeepLearning.AI Data Analytics 专业证书 专项课程的一部分
在注册此课程时,您还会同时注册此专业证书。
  • 向行业专家学习新概念
  • 获得对主题或工具的基础理解
  • 通过实践项目培养工作相关技能
  • 通过 DeepLearning.AI 获得可共享的职业证书

该课程共有4个模块

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.

涵盖的内容

14个视频3篇阅读材料5个作业1个非评分实验室

This module introduces the principles of effective data visualization and reporting using Tableau. You’ll begin by creating a Tableau Public account and building your first workbook. Then, through guided practice and scenario-based exercises, you’ll learn to choose the right type of insight and visualization—such as line charts, heat maps, or geographic plots—to match your audience and goals. You’ll 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.

涵盖的内容

17个视频9篇阅读材料6个作业

In this module, you'll build a strong foundation in data visualization and dashboard creation, with a focus on using Tableau effectively. You’ll 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’ll also perform data transformations with basic calculations and field edits. To support the design process, you’ll create mock-ups and wireframes, and then bring them to life by building a variety of static and interactive visualizations in Tableau—ranging from bar and pie charts to tree maps and dual-axis maps. Finally, you’ll add filters and tooltips, optimize dashboard performance, and deploy your work to ensure accessibility across platforms.

涵盖的内容

12个视频6篇阅读材料6个作业

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’ll leverage generative AI tools to tailor application materials and practice interview techniques using the STAR method and simulation tools—preparing you to confidently pursue a career in data analytics.

涵盖的内容

7个视频17篇阅读材料5个作业

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位教师

授课教师评分
5.0 (8个评价)
Sean Barnes
DeepLearning.AI
5 门课程34,078 名学生

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学生评论

4.8

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