- Each module will have - 30 min of video instruction - 30 min of reading material - 1 hr hands-on classroom exercises (10 marks each) - 1 hr homework exercises (10 marks each) - Prerequisites: - Familiarity with Microsoft Excel & Microsoft PowerPoint, or equivalent tools such as Google Docs, Libre Office, etc. - Mode of instruction: Online classroom - Timing: - The course will be run synchronously for a classroom of up to 100 participants - This will be conducted 4 times a year, tentatively n the first weeks of Jan, Apr, Jul and Oct starting Oct 2020 - This apart, participants can also be enroll online and take this up themselves ### About the course - **Mode: online**. It's easier than travel - **Duration: 1-2 hrs**. It's hard to spare more time - **What will students learn?** How to: 1. *Find* the right problem for your audience 2. *Analyze* data to solve the problem 3. *Filter* the analysis for insights 4. *Convert* the insight into a storyline 5. *Present* the storyline visually - **Prerequisites: None**. This is for beginners looking to understand how to get insights from data. - **Who is the target?** People who need to explore data or build the skill. - College-level students (or higher) - Corporate workforce - Government employees - **Methodology: Guided exercises**. People learn by doing. But open-ended exercises are hard. We will provide: - **Starter datasets** (Students can bring their own) - ... that are **domain-specific** (e.g. public finance, B2B sales, ad ratings) for familiarity - **Multiple-choices**. The entire exercise can be completed by just picking options - **Flowcharts** to help pick options - **Publishing**. Students can showcase their accomplishment and share their story - **Feedback**. Students can get feedback based on course principles on where to improve ### Table of contents - Data storytelling is a critical skill for data scientists, analysts & managers - You have data. Now what? **Choose**: Dataset [TODO] Dataset collection. (1) Make a list. (2) Anonymize from Gramener case studies. - Who is your audience? They determine the story. **Choose**: Role. [TODO] Make a list of roles against each domain - What is their problem? That defines your analysis. **Choose**: Problem [TODO] List problems against each dataset - Find the right analysis to solve the problem. **Choose** via **Flowchart**: Analysis [TODO] Patterns of problems, and analyses that answer them - Filter for big, useful, surprising insights. **Choose**: Rate insights - Start with the takeaway. Summarize your entire story. **Choose**: Takeaway - Structure supporting analyses as a tree. **Choose**: Story tree - Pick a format based on how your audience will consume the story. **Choose** via **Flowchart**: Format - Pick a visual design based on the takeaway. **Choose** via **Flowchart**: Chart [TODO] Templates against these - Annotate to explain & engage. Use four types of narratives. **Choose**: Annotations - Publish your story - Practice data storytelling ### Course Material includes - Offline PowerPoint presentation - Online web-based slides - **Support material**: Links will be available to: - Multiple datasets in each domain - Sample audiences & problems - Flowcharts to select analysis, medium and chart - Online exercises to choose (role, problem, analysis, etc) - Publish exercise in any format (image, PDF, text, Office, link) - **Instructors**: Drawn from a volunteer pool of expert & aspiring data storytellers