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Learn SQL Basics for Data Science

5
(17)
Published July, 2024
Coursera Platform
Coursera
Duration
4 Weeks
Level
Beginner
Language
English
Tags
Apache, Big Data, Business Analysis, Customer Analysis, Data Analysis, Data Architecture, Data Management, Data Model, Data Science, Database Administration, Database Theory, Databases, Distributed Computing Architecture, Exploratory Data Analysis, Extract, Load, Problem Solving, Python Programming, SQL, Transform
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Course Description

Course Overview

This hands-on SQL specialization helps you build the foundational skills needed to analyze, transform, and manage data using SQL — the most in-demand language for data professionals.
You’ll start from zero and progress through practical exercises, real-world datasets, and a final capstone project designed to showcase your new skills.

Whether you’re an aspiring Data Analyst, Data Scientist, or Business Intelligence professional, this course gives you everything you need to write efficient SQL queries and make data-driven decisions.

What You’ll Learn

  • Write SQL queries to filter, sort, and summarize data
  • Manipulate strings, dates, and numerical data for analysis
  • Combine multiple tables using JOINs and UNION
  • Validate, clean, and transform datasets for real-world projects
  • Build and test SQL queries for A/B testing and business insights
  • Present your findings with clear data storytelling

Course Structure

Course 1: SQL for Data Science
Learn the fundamentals — from database structure to query writing.
Understand filtering, grouping, and combining data from multiple sources.

Course 2: SQL Problem Solving
Apply SQL in real-world scenarios.
Validate data, debug complex queries, and perform exploratory data analysis.

Course 3: SQL for Data Science Capstone Project
Put your skills to work on a full project.
Design a dataset, perform descriptive statistics, and deliver insights through SQL queries and presentations.

Skills You’ll Gain

  • SQL Query Writing
  • Data Cleaning & Validation
  • Data Transformation
  • Business Metrics & Reporting
  • Exploratory Data Analysis (EDA)
  • Statistical & Predictive Analysis
  • Data Storytelling

Why Take This Course

✔ Beginner-friendly — no prior coding experience needed
✔ Hands-on projects and guided practice
✔ Learn from industry experts at University of California, Davis
✔ Earn a verified career certificate shareable on LinkedIn
✔ Join 290,000+ learners who’ve mastered SQL through this program

Course Duration

🕓 4 Weeks (Flexible schedule, ~10 hours per week)

Start Learning Today

Transform your data skills and unlock career opportunities in analytics and data science.