Master Data Visualization Essentials
Learn to turn raw numbers into clear, persuasive visuals — chart selection, dashboard design and storytelling — using Excel and modern BI tools.
Start Learning
Join learners who transformed their careers with MITS Edge.
Program Overview

Data Visualization Essentials is a beginner-level live online course running 6 weeks (42 hrs), priced at $500 USD, taught by instructors in evening and weekend cohorts for learners in the US and Canada, with a certificate of completion.
Learn to turn raw numbers into clear, persuasive visuals — chart selection, dashboard design and storytelling — using Excel and modern BI tools. What you will build: a sales dashboard, a marketing performance report and a data story presentation. Tools and technologies: Excel, Power BI Desktop, Tableau Public, Google Looker Studio. Format: 42 hours of live, instructor-led online training over about 6 weeks, in evening and weekend cohorts for learners in the US and Canada, with hands-on labs, recorded sessions and mentor support. Career pathways: Reporting Analyst, Junior BI Analyst, Data Visualization Associate, Marketing Analyst. Resume review and interview guidance are available to all learners.
Course Highlights
- 42 hours of live instructor-led training
- Hands-on labs and guided mini projects
- Tools: Excel, Power BI Desktop, Tableau Public
- Certificate of completion
- Career guidance for US & Canada job market
- Recorded sessions and mentor support
Minimum Requirements
- No prior experience required
- Laptop or desktop with stable internet
Who is this for ?
- Beginners new to data visualization
- Managers who build or read dashboards
- Marketers and operations staff reporting KPIs
Curriculum
Course Curriculum
5 modules · 18 topics0 hours total
- 1Perception basics
- 2chart types
- 3picking the right visual
Industry-Recognized
Certification
Upon successful completion, you receive a certificate of completion for the Data Visualization Essentials program that you can share with employers and add to your LinkedIn profile — a record of the hands-on skills and projects you completed.
- Verifiable ID: Unique credential link for LinkedIn.
- Skill Validation: Proof of hands-on project completion.
- Corporate Branding: CO-branded with your company logo.

Student Reviews
Why learn this online
Business Intelligence and data warehousing sit at the center of how companies turn raw data into decisions. Learning tools like Power BI, Tableau, or a modern warehouse platform online, in a live cohort with real datasets, builds the dashboard and modeling portfolio hiring managers actually screen for — without needing a data science background.
Who this is for
- ✓Analysts wanting to specialize in dashboards and reporting
- ✓SQL-comfortable professionals moving into BI tooling
- ✓Career switchers targeting enterprise data roles
Career outcomes
- BI Developer
- BI Analyst
- Data Warehouse Engineer
- Reporting & Analytics Specialist
Frequently asked questions
How much does the Data Visualization Essentials course cost?
The Data Visualization Essentials course costs $500 (USD) for 6 Weeks (42 hrs) of live, instructor-led online training. The fee covers live classes, recorded sessions, hands-on projects, mentor support and the certificate of completion.
What projects will I build in Data Visualization Essentials?
You will build a sales dashboard, a marketing performance report and a data story presentation.
Which tools and technologies does Data Visualization Essentials cover?
Data Visualization Essentials covers Excel, Power BI Desktop, Tableau Public, Google Looker Studio.
Is the Data Visualization Essentials course online or in person?
The Data Visualization Essentials program is delivered live and online with instructor-led sessions, so you can join from anywhere in the US, Canada, or beyond. Sessions are interactive and recordings are available for review.
How long is the Data Visualization Essentials course?
The Data Visualization Essentials program runs for 6 Weeks (42 hrs). Cohorts are scheduled in the evenings and on weekends to fit around a full-time job.
What level is the Data Visualization Essentials course — is it suitable for beginners?
The Data Visualization Essentials program is pitched at a beginner level. It is designed to be accessible to newcomers, starting from fundamentals.
Do I get a certificate after completing Data Visualization Essentials?
Yes — you receive a verifiable certificate of completion for the Data Visualization Essentials program, which you can share with employers and add to your LinkedIn profile.
Does the Data Visualization Essentials course include placement or career support?
Yes. MITS Edge programs include career support — resume reviews, mock interviews, and job-search guidance aligned to the US and Canadian hiring markets.
Do I need any prior experience to join Data Visualization Essentials?
Recommended prerequisites: No prior experience required; Laptop or desktop with stable internet.
Which BI tool should I learn first — Power BI or Tableau?
Power BI has the broadest enterprise adoption, especially in Microsoft-centric companies; Tableau is strong in analytics-heavy organizations. The underlying skills — data modeling, DAX/calculations, dashboard design — transfer between the two.
Do I need to know SQL for BI roles?
Yes, SQL is foundational for BI and data warehousing work — most programs teach it alongside the BI tool itself.
Related Courses

Data Warehousing Fundamentals
Understand how enterprise data warehouses are designed and built — architecture, ETL, dimensional design and the modern cloud warehouse landscape.

SQL Server BI Stack (SSIS, SSAS, SSRS)
Build end-to-end Microsoft BI solutions: ETL with SSIS, analytical models with SSAS and paginated reports with SSRS on SQL Server.

SAP BW & SAP HANA
Learn SAP BW/4HANA data modelling and SAP HANA fundamentals — InfoProviders, data flows and reporting for enterprise analytics on SAP landscapes.

Tableau for BI Professionals
Go beyond basic charts: build advanced Tableau dashboards using calculations, LOD expressions, parameters and performance best practices.
