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Turn Raw Data into a Clear Story — in 6 Sundays

$500 • 10 seats • Oct 5–Nov 9 • Sundays 7:00–8:00 AM • Downtown Columbus

Why Join

  • Beginners welcome
  • In-person: Downtown Columbus
  • Weekly online lessons
  • Capstone (team or individual, decided in Week 3)
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Expert First Step Data Analysis Education

Our programs are designed to make your entry into tech seamless.

Oct 5–Nov 9
Sundays 7:00–8:00 AM
Hands-on, live
Supportive instructor
Course Data

Program Overview

A clear win you can show at work

Select a real dataset, make an assumption, and use cleaning, qualification, validation, and analysis to turn raw data into a visual story you can present in minutes. You’ll test assumptions against data, build visuals, and deliver a 15-minute capstone presentation.

Assumption to Evidence

Start with a hypothesis, then test it—patterns always reveal themselves.

Clean, Qualify, Validate

Rule out bad data, confirm sample size, and decide if a
dataset supports conclusions.

Transform to story

Use Power BI to create visualizations that make insights obvious.

Present with Confidence

Walk through problem, method, findings, and next steps in a concise presentation.
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Hands-On Learning Curriculum

What You’ll Learn During the Live Classes

Our beginner-friendly curriculum is tailored to new learners with step-by-step guidance, interactive lessons, and regular quizzes.

What you’ll learn during the live classes

  • Week 1: Pick a dataset and state your assumption
  • Week 2: Clean and qualify your data
  • Week 3: Analyze patterns and decide team or individual capstone
  • Week 4: Strengthen your analysis with peer challenge
  • Week 5: Build your data story in Power BI
  • Week 6: Present your capstone (15 minutes)

What is Data Analysis? (Oct 5)

  • Set up Power BI and select a Kaggle dataset.
  • Write a one-slide assumption with 1–3 fields of interest.
  • Ensure ~2,000+ entries to support analysis.
  • Learn how early pivots keep projects on track.

Cleaning and Qualifying Data (Oct 12)

  • Define qualification criteria, rule out bad data.
  • Reassess assumption or dataset if cleaning changes scope.
  • Prepare a one-slide update on dataset viability.
  • Understand the goal: enough signal to analyze, not “being right.”

Deep Analysis and Transformation (Oct 19)

  • Perform correlations and threshold testing (means, medians, highs/lows).
  • Test assumption with cleaned data.
  • Share a one-slide data story in class.
  • Decide: individual or team capstone (consolidate if team).

Strengthened Analysis with Peer Challenge (Oct 26)

  • Present to peers, attempt to disprove each other’s analysis.
  • Develop a second hypothesis from new data.
  • Learn to see beyond one dimension for new patterns.
  • Refine analysis based on peer feedback.

Data Visualization and Stories (Nov 2)

  • Build clear visuals in Power BI.
  • Finalize 15-minute capstone presentation.
  • Identify next steps: job moves, responsibilities, or new projects.
  • Rehearse for Week 6 presentation.

Graduation: Data Analysis in the Real World (Nov 9)

  • Deliver your 15-minute capstone.
  • Show how cleaning, validation, and analysis shaped conclusions.
  • Present visuals that make insights clear to non-technical peers.
  • Graduate with a portfolio-ready data story.

Build a Robust Portfolio

Start Building a Standout Portfolio

Your capstone: a data story that transforms raw numbers into a clear, visual argument. 

By the end, you’ll have a project that:

  • States an assumption, backed by cleaned, qualified data.
  • Shows thresholds/patterns that support or disprove claims.
  • Visualizes findings in Power BI for fast comprehension.
  • Explains methods in a short, repeatable presentation.
  • Demonstrates peer-tested reasoning.
  • Adapts to team or individual formats (chosen in Week 3).

How it works

Start Your Tech Journey in These Steps

Buy your seat now

Only 10 seats. Lock yours today.

Attend Sundays

Six live sessions, Oct 5–Nov 9, 7:00–8:00 AM.

Complete weekly online lessons

Short, focused practice to deepen analysis.

Build your capstone

Move step by step: assumption → evidence → visualization.

Present and share

Deliver your 15-minute data story and next steps.

Cohort & Location

Only 10 seats — starts Oct 5

Buy Your Seat

Cohort Dates

Oct 5 – Nov 9

Weekly Time

Sundays • 7:00–8:00 AM

Seats

10 Total
Format
In-person + weekly online lessons
Location
Downtown Columbus, Ohio
Price
$500 per
seat

FAQ’s

Frequently Asked Questions?

Your questions answered!

Non-technical builders and early-career professionals seeking a clear first win in analytics.
A portfolio-ready data story, tested with cleaned data and clear visuals.
Yes. You’ll use straightforward steps—assumption, cleaning, validation, analysis, visualization.
1-hour Sunday class + 2–4 hours weekly.

Only 10 seats are available.

Downtown Columbus, Ohio.

Only 10 seats are available.

Starts Oct 5 — $500 — only 10 seats

Six Sundays. Downtown Columbus. Present a clear, visual data story that stands up to questions.
Buy Your Seat
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