People Analytics Analyst — Data Visualization & Storytelling
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What you'll learn:
**Exploring Visual Perception and Human-Centered Design** - **Description:** Dive deep into the principles of visual perception and how they relate to data visualization. Understand preattentive attributes, Gestalt principles, and how they influence how audiences interpret charts and graphs. Focus on human-centered design principles, tailoring visualizations specifically for HR stakeholders. Learn about accessibility considerations and designing visualizations for diverse audiences. - **Resources/Activities:** - Read: "The Functional Art: An Introduction to Information Graphics and Visualization" by Alberto Cairo (Focus on chapters on perception and design principles). - Watch: "Information Visualization" course by Jeffrey Heer and Michael Stonebraker on edX or Coursera (relevant modules on perception). - Explore: Visually analyze best-practice data visualizations for HR (e.g., in annual reports or internal communications). Critique examples, identifying strengths and weaknesses in their design. - Activity: Design and prototype a dashboard visualizing employee turnover data, considering user experience and stakeholder needs. - **Expected Outcomes:** Develop a solid understanding of how humans perceive visual information and apply this knowledge to create effective and accessible visualizations tailored to HR audiences. Identify and critique common visualization mistakes.
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What you'll learn:
**Beyond the Basics** - **Description:** Move beyond basic chart types (bar charts, line graphs, pie charts). Explore advanced charting techniques for People Analytics, including: Sankey diagrams (for workforce flows), Parallel Coordinates plots (for multi-dimensional analysis), Radar charts (for employee performance profiles), and Heatmaps (for identifying patterns in HR data). Learn about data transformation and aggregation strategies to prepare data for these advanced visualizations. - **Resources/Activities:** - Read: "Data Visualization for Human Resources: A Practical Guide" (Focus on chapters related to advanced chart types). - Explore: Examples of advanced charts in specific software (e.g., Tableau, Power BI). - Practice: Implement advanced chart types in chosen software using sample datasets related to employee data (e.g., employee skills, salary distribution). - Activity: Create a Sankey diagram to visualize employee movement between departments or roles over time, focusing on data preparation and interpretation. - **Expected Outcomes:** Ability to select and implement appropriate chart types for complex HR datasets, and to interpret and communicate insights derived from them. Proficiency in data preparation for advanced visualization.
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What you'll learn:
**Crafting the HR Data Story** - **Description:** Focus on crafting compelling data narratives within the context of HR. Learn techniques to structure a data story, from identifying the key insights to building a logical flow that guides the audience. Explore different storytelling formats – from executive summaries to detailed analytical reports. Understand how to write concise and impactful data-driven narratives that resonate with HR stakeholders. - **Resources/Activities:** - Read: "Storytelling with Data: A Data Visualization Guide for Business Professionals" by Cole Nussbaumer Knaflic (Chapters focusing on storytelling structure and narrative flow). - Analyze: Case studies of successful data stories in HR (e.g., reports that impacted hiring, performance, or diversity and inclusion initiatives). - Practice: Develop a concise narrative describing the key insights from a previously created visualization (e.g., the employee turnover dashboard from Day 1). - Activity: Create a complete data story based on a provided HR dataset (e.g., performance data), including a brief written summary, key visualizations, and actionable recommendations. - **Expected Outcomes:** Capability to structure a data-driven narrative, to identify the key insights, and to present them in a clear and compelling manner. Improved written and verbal communication skills specifically tailored to People Analytics.
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What you'll learn:
Advanced Techniques & Customization** - **Deep Dive** - **Description:** Intensive hands-on session focusing on advanced features and techniques in either Tableau or Power BI (or the preferred BI tool). Focus on advanced data manipulation (e.g., calculated fields, table calculations, DAX), custom visuals, dashboard design best practices, data blending, integration with other data sources, and performance optimization. - **Resources/Activities:** - Complete: A structured online course on advanced Tableau or Power BI techniques (e.g., from Udemy, Coursera, LinkedIn Learning). - Practice: Apply advanced techniques to real-world HR datasets. - Experiment: Explore advanced features such as level-of-detail (LOD) expressions in Tableau or complex DAX measures in Power BI. - Activity: Build a complex dashboard with multiple interacting visualizations, filtering options, and custom visuals, showcasing your advanced skills. Focus on performance optimization for large datasets. - **Expected Outcomes:** Mastery of advanced features and techniques in chosen software, and the ability to build sophisticated and performant dashboards and visualizations for HR data.
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What you'll learn:
**Going Beyond Descriptive Statistics** - **Description:** Deep dive into the statistical concepts underpinning effective data visualization and interpretation in HR. Learn how to interpret the results of statistical tests (t-tests, ANOVA, chi-square) and how to incorporate these results into compelling visualizations. Explore how to visualize correlations, regression models, and other statistical outputs in meaningful ways. Learn about data distributions and how they can affect visualization choices. - **Resources/Activities:** - Read: "Practical Statistics for Data Scientists" by Peter Bruce & Andrew Bruce (focus on chapters on statistical testing and model interpretation). - Explore: Examples of statistical visualizations in HR data and the corresponding tests. - Practice: Perform statistical analyses on HR datasets using R or Python (if applicable) and create visualizations to communicate the results effectively. - Activity: Visualize the results of a regression model predicting employee performance based on different factors, including clear explanations of model fit and significance. - **Expected Outcomes:** Ability to interpret and visualize the results of statistical analyses and to communicate them effectively to HR stakeholders. Understanding of how to choose the appropriate statistical methods for various types of HR data.
Personal Notes:
What you'll learn:
**Influencing Decision-Making** - **Description:** Focus on the art of presenting data insights to HR stakeholders, including: tailoring presentations to different audiences (executives, managers, employees), using effective visual aids, practicing clear and concise communication, and handling questions effectively. Learn how to build trust and credibility, and how to influence decision-making based on data. Practice presentation skills, incorporating feedback and improving delivery. - **Resources/Activities:** - Read: "Talk Like TED: The 9 Public-Speaking Secrets of the World's Top Minds" by Carmine Gallo (for principles of effective presentation design). - Watch: Videos of successful presentations in HR or related fields (TED Talks, conference presentations). - Practice: Prepare and deliver a short presentation summarizing the key findings from a previously created data story (e.g., from Day 3) to a mock stakeholder group. - Activity: Receive and incorporate feedback on presentation delivery. Refine the presentation based on feedback. - **Expected Outcomes:** Enhanced presentation and communication skills, ability to tailor presentations to different audiences, increased confidence in communicating data insights, and ability to influence decision-making.
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What you'll learn:
**Putting it All Together** - **Description:** A capstone project applying all the skills learned throughout the week. Participants will be provided with a complex HR dataset or encouraged to use their own data. They will be required to: (1) Conduct exploratory data analysis, (2) Apply appropriate data visualization techniques, (3) Develop a clear and compelling data story, (4) Create a presentation summarizing the findings, and (5) Deliver the presentation to a peer group. The focus will be on creating actionable insights that support HR decision-making. - **Resources/Activities:** - Utilize: All resources and skills from previous days. - Activity: Complete the end-to-end People Analytics project, presenting the findings to a peer group and receiving constructive feedback. - **Expected Outcomes:** Successfully completing an end-to-end People Analytics project, demonstrating the ability to independently analyze data, create insightful visualizations, develop a data story, and communicate findings effectively to stakeholders. A portfolio-worthy project to showcase expertise.
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