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Master Professional Power BI & SQL – Professional

2-course professional program in Power BI & SQL. 2.5 Months, 100 hours.

Rating—/5
Duration2.5 Months
LevelINTERMEDIATE
ModeOnline
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Industry Certificate English

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Join learners who transformed their careers with MITS Edge.

Program Overview

Data Analytics

Combines: Power BI + SQL for Data & Analytics. Data import, dashboards and visualisation plus SQL queries, joins and aggregation. 2.5 months, 100 contact hours.

MentorshipLearn from experts
Hands-onBuild real projects
Career ReadyJob-aligned skills

Course Highlights

  • 100 hours of classroom training
  • 2 courses combined into one program
  • Save Rs 1,100 against separate courses

Minimum Requirements

  • Advanced Excel or equivalent
  • Laptop or desktop with internet access
  • Commitment to a 2.5 month schedule

Who is this for ?

  • Job seekers targeting BI analyst roles
  • Excel/Power BI users adding SQL
  • Working professionals in reporting roles

Industry-Recognized
Certification

Upon successful completion, you receive a certificate of completion for the Professional Power BI & SQL – Professional 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.
MITS Edge Certificate of Completion

Student Reviews

Why learn this online

Data analytics is one of the most accessible entry points into a tech career because the core tools — SQL, spreadsheets, and BI platforms like Power BI or Tableau — are learnable in months and do not require heavy programming. Learning online in a live cohort keeps you accountable while you build a portfolio of dashboards and analyses that prove your ability to turn data into decisions.

Who this is for

  • Business and operations professionals
  • Non-coders wanting a data career
  • Career switchers who want a faster on-ramp

Career outcomes

  • Data Analyst
  • Business Intelligence Analyst
  • Analytics Engineer
  • Reporting Analyst

Frequently asked questions

Is the Professional Power BI & SQL – Professional course online or in person?

The Professional Power BI & SQL – Professional 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 Professional Power BI & SQL – Professional course?

The Professional Power BI & SQL – Professional program runs for 2.5 Months. Cohorts are scheduled in the evenings and on weekends to fit around a full-time job.

What level is the Professional Power BI & SQL – Professional course — is it suitable for beginners?

The Professional Power BI & SQL – Professional program is pitched at a intermediate level. Some prior familiarity helps, and the curriculum builds toward job-ready skills.

Do I get a certificate after completing Professional Power BI & SQL – Professional?

Yes — you receive a verifiable certificate of completion for the Professional Power BI & SQL – Professional program, which you can share with employers and add to your LinkedIn profile.

Does the Professional Power BI & SQL – Professional 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 Professional Power BI & SQL – Professional?

Recommended prerequisites: Advanced Excel or equivalent; Laptop or desktop with internet access; Commitment to a 2.5 month schedule.

Do I need to code to work in data analytics?

Not heavily. The essentials are SQL, spreadsheets, and a BI tool. Light Python helps for larger datasets but is not required to get started or hired.

How is data analytics different from data science?

Analytics focuses on interpreting existing data to answer business questions, while data science builds predictive models. Analytics is a common, lower-barrier first step toward data science.

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