Data Visualization and Dashboards

Data Analytics

Data Visualization and Dashboards

Make your analysis impossible to ignore. Build clear, interactive dashboards in Power BI or Tableau, and present them so decision-makers know exactly what to do next.

Intermediate
10 weeks
Online · Synchronous
Cost TBD

Key details

Track at a Glance

Program: Data Analytics
Track level: Intermediate
Cohort length: 10 weeks
Cohort number: 1
Cohort size per section: 25
Number of sections: 1
Cohort schedule: TBD
Live sessions: One 120-minute session per week
Live sessions schedule: TBD
Self-study: About 4–8 hours per week (recommended)
Total time: About 60–100 hours
Format: Online – Synchronous
Orientation: TBD
Credential: Certificate of completion from iVERT
Prerequisite: Track 2 or working knowledge of SQL
Program cost: TBD
Registration period: TBD

All students must attend orientation. Otherwise, they will be dropped.

Overview

A good dashboard answers a question at a glance. This Track teaches you to model data properly, write reliable metrics, choose the right chart, and design dashboards people actually use.

Each Cohort works in one tool, Power BI or Tableau, so you go deep instead of wide. The ideas transfer, and you finish with a dashboard you present to a mock stakeholder panel.

This Track is for you if you

Can query or prepare data and want to communicate it clearly
Want to move into BI, reporting, or business-facing analyst roles
Build reports today and want them to look and work professionally

It is not designed for

Graphic design or illustration
Learners new to data (start with Track 1 or Track 2)

By the end of the Track

What You Will Learn

Connect a BI tool to data and build a clean data model
Write measures for common business metrics, including time comparisons
Choose charts that fit the question, and avoid misleading visuals
Design dashboards that are clear, consistent, and accessible
Add filters, drill-through, and tooltips without clutter
Tell a data story: context, insight, and a recommended action
Present to a non-technical audience and handle their questions

10 weeks

Track Outline

Learn the fundamentals, build with realistic data, and excel by presenting your work.

Week 1
Learn
Dashboards, tools, and data connections

What makes a dashboard useful; connect to data; prepare it for analysis.
Weeks 2–3
Learn
Building the data model

Relationships, star schemas, and a date table so every number adds up.
Weeks 4–5
Build
Calculations and metrics

Measures, year-to-date, and period-over-period comparisons. Mini-project 1 due in week 5.
Weeks 6–7
Build
Visual design and interactivity

Chart choice, layout, color, and accessibility; filters, drill-through, and tooltips.
Week 8
Build
Data storytelling

Headlines, annotations, and presenting to non-technical audiences. Mini-project 2 due in week 8.
Weeks 9–10
Excel
Capstone

Build a three-page dashboard and present it to a mock stakeholder panel.

TBD Successful candidates Closing and certification

How you are graded

Assessment and Certificate

Component	Weight	What it covers
Weekly build labs	20%	Hands-on builds, with feedback
Short quizzes	15%	Check your grasp of key ideas
Mini-projects (2)	25%	Written comments and one resubmission on each
Capstone	40%	Dashboard plus a stakeholder presentation

Certificate of completion: awarded to learners who score 70% or higher with an acceptable capstone. You get written comments on projects, an answer key for practice sets, and one resubmission on each mini-project.

What you will build

Design a three-page executive dashboard (overview, drivers, and detail) on a realistic dataset, document your metrics, and present it to a mock stakeholder panel. You keep the dashboard and a PDF export as portfolio pieces.

Tools and Materials

All student materials are free.

Power BI option

Power BI Desktop (free; Windows only)

Tableau option

Tableau Public (free; works with files, so data is exported from SQL)

Practice data

The Track 2 database exported for analysis, plus sample business datasets

Learning platform

iVERT’s E-Learning site for materials, quizzes, submissions, and recordings

Community channel

Discord or Slack for quick questions and peer help

Prerequisites and Enrollment Requirements

Required

Track 2, or the ability to write basic SQL queries
A computer and reliable internet access (Windows for Power BI; any system for Tableau)
Willingness to give and receive design feedback

Helpful, not required

Experience building reports or charts at work
An eye for layout and detail

Not required

Design training, paid licences, or programming experience.

After this Track

Career Fit and What Comes Next

Skills you will leave with

Data modeling
DAX or calculated fields
Dashboard design
Interactivity
Accessibility
Data storytelling
Presenting

Where these skills apply

BI analyst or junior BI developer
Reporting analyst
Business analyst
Marketing or finance analyst
M&E officer

Tracks 1–3 together suit many entry-level reporting and BI roles.

MORE TRACKS

Explore the Data Analytics Tracks

See every Track in this Program and choose your next step.

Finish here with a certificate and a portfolio project, or continue. Either is a good outcome.

Browse all Tracks

How to Apply

Check that you meet the prerequisites above.
Take note of the Program, Track, and Cohort number (needed to apply).
Use the button below to apply, or to register your interest if the Track has a waitlist.
Watch your email for confirmation and onboarding details.

Applications are not open for this Track right now. See which Tracks are open, or request information and we will let you know when the next Cohort opens.

Track FAQs: Find Quick Answers

Power BI or Tableau: which should I choose?

Pick the one employers near you use most. Power BI needs Windows; Tableau Public runs on any system. Each Cohort uses one tool.

I use a Mac. Can I take this Track?

Yes. Join a Tableau Cohort, or run Power BI in a Windows virtual machine.

Do I need to be good at design?

No. We teach simple, repeatable rules for layout, color, and chart choice.

What if I miss a session?

Sessions are recorded and posted on the learning platform, and you can ask questions at office hours.

How much time will I need each week?

About 6–10 hours: one 120-minute live session plus 4–8 hours of self-study.

Will this get me a job?

iVERT does not place graduates or guarantee employment. iVERT is not an accredited college; Programs do not grant degrees or academic credit. However, you will leave with job-relevant skills and a portfolio project to show employers.

iVERT does not place graduates or guarantee employment. iVERT is not an accredited college; Programs do not grant degrees or academic credit.