Courses/Data Science

Data ScienceBestseller

SQL for Data Science

Name: SQL for Data Science
Rating: 4.8 (3980 reviews)

Master SQL querying for data analysis and reporting â€” from basics to advanced window functions.

4.8(3,980 ratings)20,100 students45 DaysBeginnerHindi + English

Sashank Mishra

Python Backend Developer

Overview

A hands-on SQL course focused on data science use cases â€” writing queries to explore, aggregate, and analyze large datasets.

Skills You'll Learn

SQL Queries

Joins

Aggregations

Window Functions

Query Optimization

Prerequisites

No prior experience needed

Course Roadmap

Module 1

Modules 1–2: SQL Fundamentals for Analysis → Joins for Analytics

The core language of data analysis. Bring related data together.

Module 2

Modules 3–4: Aggregation & Grouping → Window Functions

Summarize data like an analyst. The techniques that separate analysts from beginners.

Module 3

Modules 5–6: Subqueries & CTEs → Real-World Analytics Projects

Write readable, complex analytical queries. Apply SQL to real business questions.

Module 4

Modules 7–8: Query Performance & Optimization → SQL + Python for Data Science

Write analytical queries that stay fast at scale. Bridge SQL analysis into a full data science workflow.

Course Curriculum

8 modules · 6 quizzes

SELECT, WHERE, ORDER BY
Filtering & sorting for analysis
Data types

INNER/LEFT/RIGHT joins
Combining multiple data sources
Common join pitfalls

GROUP BY & HAVING
Aggregate functions
Building summary reports

RANK, ROW_NUMBER, NTILE
Running totals & moving averages
Partitioned analysis

Subqueries
Common Table Expressions
Structuring complex queries

Cohort analysis
Funnel analysis
Building a full analytical report

Reading query plans
Indexing for analytics queries
Common performance pitfalls

Connecting SQL to Pandas
Combining SQL and Python workflows
Automating recurring reports

Projects

Sales Analytics Report

A full report answering 10 real business questions with SQL.

SQL

Cohort Retention Analysis

Analyze user retention by signup cohort.

SQLWindow Functions

Funnel Conversion Analysis

Analyze a multi-step conversion funnel from raw event data.

SQL

Assignments

Join Practice Set

Easy

10 queries combining 2-4 tables.

Aggregation Report

Medium

Build a monthly KPI summary query.

Window Function Challenge

Medium

Solve 5 problems using RANK/running totals.

CTE Refactor

Hard

Refactor a nested subquery into readable CTEs.

Tech Stack

PostgreSQL

Meet Your Instructor

Sashank Mishra

Python Backend Developer

1+ Years of Experience python backend, Flask, Django, MongoDB, SQLite etc.

Certificate You'll Earn

CERTIFICATE ID: LNTRN-UPSK-000000

Your Name Here

Successfully completed the SQL for Data Science Certificate at Lunetron Web Services. We appreciate their dedication and wish them success in their career.”

ISSUING DATE - 27TH MARCH, 2026

Certified SQL analyst.

Student Reviews

The Machine Learning and Deep Learning courses are incredibly well structured. The instructors explain complex concepts simply, and the capstone project became the centerpiece of my portfolio.

Aarush Rai

B.Tech / AI-ML

I liked the hands-on approach of the training. Working on assignments and mini projects made the concepts easier to understand, and the AI/ML introduction was a useful addition to the course.

Divyanshu Mishra

B.Tech / AI-ML

The Machine Learning and Deep Learning courses are incredibly well structured. The instructors explain complex concepts simply, and the capstone project became the centerpiece of my portfolio.