Data + Narrative Workshop

SCHEDULE FOR SIX-EVENING WORKSHOP

Sample Program

Daily Course Schedule

Below is the schedule for the SIX-day program with three different educational tracks. This program begins with five self-paced introductory lectures that students complete prior to the first class. Also offered is a format with three consecutive full days of training. Three-day programs are offered both online and live on campus when health condition permit.

Data+Narrative    Advanced Data+Narrative    Data+Narrative with R

PRIOR TO DAY 1: ONLINE COURSEWORK

Online, Self-paced 50 minutes So Much Data: Honing In on High-Value Information for Your Projects
Online, Self-paced, 50 minutes Unlocking Data Trapped In Documents
Online, Self-paced, 50 minutes Precision Storytelling: Blending Words and Data
Online, Self-paced, 50 minutes Understanding the Statistical Significance of Your Data
Online, Self-paced, 50 minutes Extracting Data from Social Media: The Latest Tools

DAY 1

5:00-6:00PM
Optional Software Installation/Technical Help Session
6:00-7:00PM First Steps: Getting Started with Data + Narrative
7:00-8:00PM Story Essentials: Pruning Data that Doesn’t Belong
8:00-8:10PM Break
8:10-9:25PM The Art of Narrative Data Storytelling: Your Turn to Practice,
The Art of Narrative Data Storytelling, Your Turn to Practice
Introduction to R

DAY 2

6:00-7:00PM So Much Data II: Deep Dive Tips to Find Quality Data
7:00-8:00PM Scraping Data From The Web: Free Resources for Data Storytellers,
Advanced Data Scraping: Free Resources for Data Storytellers,
Analyzing Data Using the Tidyverse Part 1 – using Tidyverse functions, includes getting data into R
8:00-9:00PM Spreadsheets 101: Key Steps to Begin Mining Data for Stories,
Beyond Spreadsheets: Other Tools for Dealing with Data
Cleaning and Organizing your data in R

DAY 3

6:00-7:15PM Spreadsheets 102: The Power of Pivot Tables and Formulas and Functions
Using Structured Query Language to Find Stories in Data
Analyzing Data in the Tidyverse, Part 2
7:15-7:25PM Break
7:25-9:45PM Cleaning Data: The Basics
Working With Dirty Data: Time-Saving Tips and Tricks
Importing Census Data into R

DAY 4

6:00-7:20PM Data Wash: Advancing with Data Cleaning
Advanced Structured Query Language: Joining Queries for Deeper Analysis
R Markdown to Display Your Findings
7:20-7:30PM Break
7:30-8:30PM Data Verification: How to Bulletproof Your Story

DAY 5

6:00-6:45PM Writing Power: Turning Numbers Into Narrative on Deadline
6:45-7:45PM Visualizing Your Data: Free Tools for Storytellers
Tableau 1: Advancing Your Data Visualization Skills
Static Visualizations
7:45-8:00PM Break
8:00-9:20PM Telling Your Data Story Through Timelines
Tableau 2: Moving Further with Interactive Visualizations
Interactive Visualizations in R

DAY 6

6:00-7:00PM Framing the Narrative: How Data Forms Your Storyline
7:00-8:00PM Mapping Tools for Storytellers
Mapping Tools for Storytellers
Advancing With Data Visualization in R
8:00-9:00PM Data + Narrative Studio: Showcasing Your Storytelling Skills
9:00-9:30PM Summary of Today’s Lessons, Final Wrap Up, Practice Exercises and Evaluations
Have a question or need more information?

Connect with Workshop Executive Director and Founder Maggie Mulvihill at Boston University:

   mmulvih@bu.edu  |    617-353-4978