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SQL for Data Analysts

Query real databases and answer business questions with confidence

  • Beginner level
  • 6 weeks
  • Live Online
  • Certificate of completion

Fee on request

Tell us your background and a counsellor will share the fee, batch dates and EMI options.

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This course includes:

  • 6 weeks program
  • Lifetime access to recordings
  • Certificate of completion
  • Placement assistance until hired
  • Secure checkout · UPI, cards, EMI

SQL for Data Analysts at a glance

SQL for Data Analysts is a 6 weeks, beginner-level live online program from Axcvia, open to learners with no prior sql or programming experience needed, ending with a capstone project and a certificate of completion.

Duration
6 weeks
Level
Beginner
Mode
Live Online
Fee
On request
Certificate
Yes, on completion
Projects
4 modules
Placement support
Included until you're hired

What you'll learn

  • Answer business questions directly from a database
  • Write window functions and CTEs with confidence
  • Read an execution plan and fix a slow query
  • Clear SQL rounds in analyst interviews

Course content

4 modules · 16 topics · 6 weeks

  • SELECT, WHERE and ORDER BY
  • Data types and NULL handling
  • Aggregations and GROUP BY
  • Filtering groups with HAVING

Lesson recordings and materials are added to your dashboard as the batch progresses.

Requirements

  • No prior SQL or programming experience needed
  • Basic spreadsheet familiarity helps

Description

A short, practical SQL course for analysts, testers, product managers and developers who need to get answers out of a database. You start from SELECT and joins and finish with window functions, CTEs and query tuning, working on realistic sales, product and marketing datasets.

Every module is a set of business questions you answer in SQL, which is exactly how analyst interviews are run.

SQLData AnalyticsPostgreSQLInterview PreparationBusiness Analysis

Frequently asked questions

PostgreSQL, with notes on MySQL differences. The SQL you learn transfers to both, and to cloud warehouses.

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