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Master Advanced Data Analytics Program – Advanced

3-course advanced program in Data Analytics with SQL. 3.5 Months, 140 hours.

Rating—/5
Duration3.5 Months
LevelADVANCED
ModeOnline
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Industry Certificate English

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Program Overview

Data Analytics

Data Analytics with SQL (Advanced). Combines 3 courses: Advanced Excel for Analytics – Essential + Power BI – Essential + SQL for Data & Analytics – Essential. 3.5 months, 140 contact hours. 10% off vs. separate purchase (Rs 35,500 individually).

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

Course Highlights

  • 140 hours of classroom training
  • 3 courses combined into one program
  • Save Rs 3,500 against separate courses

Minimum Requirements

  • No prior experience needed
  • Laptop or desktop with internet access
  • Commitment to a 3.5 months schedule

Who is this for ?

  • Job seekers targeting data analyst roles
  • Final year students and fresh graduates
  • Career changers wanting a full program

Industry-Recognized
Certification

Upon successful completion, you receive a certificate of completion for the Advanced Data Analytics Program – Advanced 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 Advanced Data Analytics Program – Advanced course online or in person?

The Advanced Data Analytics Program – Advanced 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 Advanced Data Analytics Program – Advanced course?

The Advanced Data Analytics Program – Advanced program runs for 3.5 Months. Cohorts are scheduled in the evenings and on weekends to fit around a full-time job.

What level is the Advanced Data Analytics Program – Advanced course — is it suitable for beginners?

The Advanced Data Analytics Program – Advanced program is pitched at a advanced level. Some prior familiarity helps, and the curriculum builds toward job-ready skills.

Do I get a certificate after completing Advanced Data Analytics Program – Advanced?

Yes — you receive a verifiable certificate of completion for the Advanced Data Analytics Program – Advanced program, which you can share with employers and add to your LinkedIn profile.

Does the Advanced Data Analytics Program – Advanced 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 Advanced Data Analytics Program – Advanced?

Recommended prerequisites: No prior experience needed; Laptop or desktop with internet access; Commitment to a 3.5 months 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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