3-Day Schedule

SCHEDULE FOR THREE-DAY+ WORKSHOP

Three Days Fully Online

Daily Course Schedule

Below is the schedule for the three-day program with three different educational tracks. This program begins with five self-paced introductory lectures that students complete prior to the first class.

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

See SEPTEMBER’S EVENING Schedule Below

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

8:00-9:00AM
Optional Software Installation/Technical Help Session
9:00-10:00AM First Steps: Getting Started with Data + Narrative
10:00-11:00AM Story Essentials: Pruning Data that Doesn’t Belong
11:00-11:10AM Break
11:10-12:25PM The Art of Narrative Data Storytelling: Your Turn to Practice,
The Art of Narrative Data Storytelling, Your Turn to Practice
Introduction to R
12:30-1:30PM So Much Data II: Deep Dive Tips to Find Quality Data
1:30-2:30PM 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
2:30-3:30PM Story Lab: One on One Coaching and Project Work,
Story Lab: One on One Coaching and Project Work,
Story Lab: One on One Coaching and Project Work
3:40-4:30PM 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
4:30-5:00PM Project Work, Summary of Today’s Lessons, Practice Exercises and Evaluations

DAY 2

9:00-9:15AM Putting it Together: What We’ve Learned So Far
9:15-10:30AM 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
10:30-10:40AM Break
10:40AM -NOON Cleaning Data: The Basics
Working With Dirty Data: Time-Saving Tips and Tricks
Importing Census Data into R
12:00PM Lunch Break
1:00-2:00PM Story Lab: One on One Coaching and Project Work
Story Lab: One on One Coaching and Project Work
Story Lab: One on One Coaching and Project Work
2:00-3:20PM Data Wash: Advancing with Data Cleaning
Advanced Structured Query Language: Joining Queries for Deeper Analysis
R Markdown to Display Your Findings
3:20-3:30PM Break
3:30-4:30PM Data Verification: How to Bulletproof Your Story
4:30-5:00PM Project Work, Summary of Today’s Lessons, Practice Exercises and Evaluations

DAY 3

9:00-9:15AM Review: What We’ve Learned So Far
9:15-10:00AM Writing Power: Turning Numbers Into Narrative on Deadline
10:00-11:00AM Visualizing Your Data: Free Tools for Storytellers
Tableau 1: Advancing Your Data Visualization Skills
Static Visualizations
11:00-11:10AM Break
11:10-12:30PM Telling Your Data Story Through Timelines
Tableau 2: Moving Further with Interactive Visualizations
Interactive Visualizations in R
12:30-1:30PM Lunch Break
1:30-2:30PM Framing the Narrative: How Data Forms Your Storyline
2:30-3:30PM Mapping Tools for Storytellers
Mapping Tools for Storytellers
Advancing With Data Visualization in R
3:30-4:30PM Data + Narrative Studio: Showcasing Your Storytelling Skills
4:30-5:00PM Summary of Today’s Lessons, Final Wrap Up, Practice Exercises and Evaluations
Online Session Schedule: September 14-30


Session II is fully online with live classes Monday and Wednesday evenings beginning September 14 and concluding on September 30. Students will have the same curriculum as offered in the June 2-4 Workshop, including the five courses that precede the start of classes. Additionally, students will have drop-in sessions with instructors so they may review instruction and receive help and coaching in real time.

All online classes will be recorded and available for replay and review.

 

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

Register Today!