Data Storytelling for Startups

5 Days

·

Cohort-based Course

Learn how to tell a story with data and make it resonate with any audience.

Course overview

Data Storytelling for Startups

"No one ever made a decision because of a number. They need a story."

Who is this course for?

01

If you produce or present reports regularly and want to enhance how you communicate with data

02

If you come from a non-quantitative background, and want to skip all the math theory in data

03

If you work in Marketing, Customer Experience, Sales, or Product, and don't want to depend on others for analysis

Key outcomes

Turbocharge your communication with the power of data storytelling


  • You will communicate in the form of beautiful and intuitive data visualizations and narratives as presentations or reports.


  • You will provide actionable recommendations based on data insights that address the needs of your stakeholders.
Carry out simple but powerful analytics for data-driven insights


  • You will use benchmarking, segmentation, and funnel analysis to dig into the data relevant for teams in HR, marketing, product, or sales.


  • You will apply frameworks that help to derive insights with tangible business value from complex datasets and analyses.
Translate from business needs to data and back


  • You will enhance your credibility by mastering concepts including statistical bias, confounding variables, and dataset limitations and translating them into business terms for stakeholders.

Marketing Teams

How might we visualize our AARRR funnel and optimize metrics?

Customer Experience Teams

How might we breakdown customer feedback and improve service efficiency?



Product Teams

How might we drive user retention?

Elevate Messy Data into Beautiful Insights

Elevate Messy Data into Beautiful Insights

Drive Business Impact

Strategize faster with quick turn around of insight generation without getting your data team involved and wow your colleagues with beautiful presentations.



See what people are saying

        "kumu is building a rocketship and Eskwelabs has been a key cog to make this happen. Eskwelabs has proven that they’ve created the right formula to enable success for our teams.”
Jay Caluag

Jay Caluag

VP, Business Intelligence | kumu, Series C Startup
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Meet your instructor

Aurélien Chu

Aurélien Chu

Co-Founder, COO of Eskwelabs

Aurélien oversees the educational experiences at Eskwelabs. He is passionate about advancing understanding of decision science, bringing together advanced data skills and business strategy frameworks to unearth novel insights.


Linkedin

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Course schedule

3 Sessions / 6 Hours
  • Session 1: October 3

    5:00 pm - 7:00 pm (Pacific Time)


  • Session 2: October 5

    5:00 pm - 7:00 pm (Pacific Time)


  • Session 3: October 7

    5:00 pm - 7:00 pm (Pacific Time)

Course syllabus

01

Data Insights

You will work under the guidance of an instructor and team coaches to develop the first part of a project analysis - ideation, design thinking, and hypothesis generation in order to develop research questions followed by exploratory data analysis (EDA)


Deliverables:

  • Data Hypotheses
  • Research Questions
  • Exploratory Data Analysis

02

Data Analysis

Learners will work under the guidance of an instructor and team coaches to develop the second part of their project analysis - an in-depth analysis of their data using a combination of segmentation and benchmarking analysis in order to identify ways to measurably improve business performance.


Deliverables:

  • Segmentation Analysis
  • Benchmark Analysis

03

Data Narratives

Learners will work under the guidance of an instructor and team coaches to build a storyboard that establishes a clear data narrative and structures a data-driven insights report.


Deliverables:

  • Storyboard
  • Preliminary Data Visualizations

04

Data Visualizations

Learners will work under the guidance of an instructor and team coaches to finalize their report using beautiful data visualizations that provide compelling support for data insights and recommendations.


Deliverables:

  • Data Visualizations
  • Final Report

05

Public Speaking with Data

Learners will present their report and receive feedback and coaching on enhancing their public presence in the context of data storytelling and persuasive communication.


Deliverables:

  • Final Report Presentation


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Frequently Asked Questions

Why should I enroll?
What is the time commitment?
Can I participate from anywhere in the world?
What tools do I need for this?
How is this different from other online courses?
Do I need to know programming or statistics for this course?
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