SQL for Data Analysis: Querying Databases for Beginners — PickAClass
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★ 4.7 (3) ⏱ 3h 3m 📚 29 lessons 🎧 Audio version

SQL for Data Analysis: Querying Databases for Beginners

Learn to write clean, efficient SQL queries to extract, filter, and analyze data from databases to drive business decisions.

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About this course

Do you want to stop relying on others to extract the data you need for your reports? Knowing how to query databases directly with SQL is one of the most critical skills for any modern analyst. In this text-only course, you will transition from a complete beginner to a confident data explorer. You will learn to navigate relational databases and write structured queries to extract valuable business insights. What you'll learn: - Understand core database structures, tables, and relational schemas. - Extract and filter specific datasets using SELECT, WHERE, and logical operators. - Aggregate and summarize data with GROUP BY, HAVING, and essential mathematical functions. - Combine data from multiple sources using INNER, LEFT, RIGHT, and FULL JOINs. - Write clean and maintainable queries using modern Common Table Expressions (CTEs). - Practice sorting, limiting, and formatting query outputs for clear reporting. You will start with foundational database concepts and terminology before progressively building up to writing multi-table queries and organizing your SQL code for real-world analytical tasks. This course is designed specifically for beginners, aspiring data analysts, and business professionals who want to work with data directly without any prior programming experience. Start reading now to master the essentials of SQL and take control of your data analysis.

Course contents

5 modules · 29 lessons · 3h 3m

1 Database Foundations
Understand how data is stored and how to perform basic retrieval. 6 lessons · 35 min
  1. SQL's Role in Modern Analysis
    Understand why SQL is essential for direct data access and reporting.    5 min
  2. Relational Database Concepts
    Learn about schemas and how databases organize data into related structures.    6 min
  3. Tables, Columns, and Rows
    Explore the physical structure of data storage within a database.    6 min
  4. The SELECT Statement
    Write your first query to retrieve data from a single table.    6 min
  5. Selecting Specific Columns
    Learn to narrow down your output to only the data you need.    6 min
  6. Aliasing with AS
    Rename columns in your output for cleaner, more professional reports.    6 min
2 Filtering and Organizing Results
Master the art of isolating specific data points and sorting them. 7 lessons · 42 min
  1. Filtering with WHERE
    Use the WHERE clause to extract rows that meet specific criteria.    6 min
  2. Comparison Operators
    Use equals, not equals, and greater/less than to filter data.    6 min
  3. Logical Operators: AND & OR
    Combine multiple filter conditions for more precise data extraction.    6 min
  4. The IN and BETWEEN Operators
    Filter data within ranges or specific lists of values.    6 min
  5. Pattern Matching with LIKE
    Use wildcards to find text patterns within your data.    6 min
  6. Sorting with ORDER BY
    Organize your query results in ascending or descending order.    6 min
  7. Limiting Results with LIMIT
    Control the number of rows returned to keep reports manageable.    6 min
3 Data Aggregation and Summarization
Learn how to turn thousands of rows into meaningful summary statistics. 6 lessons · 36 min
  1. Introduction to Aggregates
    Understand the difference between row-level and summary data.    6 min
  2. Counting with COUNT
    Calculate the number of entries or unique values in a dataset.    6 min
  3. Math Functions: SUM and AVG
    Calculate totals and averages for numerical business metrics.    6 min
  4. Finding Extremes: MIN and MAX
    Identify the highest and lowest values in your data.    6 min
  5. Grouping Data with GROUP BY
    Segment your aggregate calculations by categories.    6 min
  6. Filtering Groups with HAVING
    Apply filter conditions to aggregated results rather than raw rows.    6 min
4 Joining Multiple Tables
Connect data from different sources to build a complete picture. 5 lessons · 35 min
  1. The Power of Relational Joins
    Understand how primary and foreign keys connect different tables.    7 min
  2. The INNER JOIN
    Retrieve records that have matching values in both tables.    7 min
  3. The LEFT JOIN
    Keep all records from the main table while pulling matches from another.    7 min
  4. RIGHT and FULL JOINs
    Explore less common join types and when to use them.    7 min
  5. Joining Three or More Tables
    Chain multiple joins together to gather data from across the database.    7 min
5 Advanced Query Structure
Write professional, readable, and efficient SQL for complex tasks. 5 lessons · 35 min
  1. Introduction to CTEs
    Learn the syntax of Common Table Expressions for temporary result sets.    7 min
  2. Refactoring with CTEs
    Break down long, messy queries into logical, readable steps.    7 min
  3. SQL Style and Best Practices
    Learn industry standards for indentation, naming, and comments.    7 min
  4. Formatting for Reporting
    Combine aliasing and sorting to create stakeholder-ready outputs.    7 min
  5. Extracting Business Insights
    Apply all learned skills to solve a real-world analytical problem.    7 min
Final project

The Executive Sales Report

You are tasked with creating a comprehensive sales performance report. You must join customer, order, and product tables, calculate total revenue per region, filter for high-value customers using HAVING, and organize the final query using a CTE for maximum readability.

What you'll get

  • 📜 Certificate of completion
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  • 💬 Personal AI tutor
    Stuck on a lesson? Ask your built-in tutor anything, any time.
  • 🎧 Audio version included
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  • ♾️ Lifetime access
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  • 📱 Phone or computer
    Works anywhere, any device
  • 💸 14-day refund
    No questions asked
  • ⚡ Short & focused
    3h 3m of practical content

Certificate of completion

Every course you complete on PickAClass issues a credential like this — original, with its own code, verifiable by URL, and detailed about what was actually demonstrated.

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has successfully demonstrated mastery of
SQL for Data Analysis: Querying Databases for Beginners
Skills demonstrated
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1.2 hrs
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1.4 hrs
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SQL for Data Analysis: Querying Databases for Beginners
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Performance detail
Coursework summary
Lessons completed 14 / 14
Practice questions 26 / 28
Assignments submitted 4 (avg 4.5 / 5)
Capstone project Reviewed — 4.6 / 5
Total practice 6.2 hrs
Performance benchmark
Cohort rank Top 12% of 1,625
Time to completion 11 days (median: 22)
Mastery score 91 / 100
Practice-question score 94%
Skill verification Verified Skill Path
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Issued under the academic standards of PickAClass. Skill levels reflect assessed performance against the course's competency rubric. This is an original credential of this platform.

Reviews (3)

আরিফ রহমান BD Verified learner
★ 4 · October 29, 2026

এই কোর্সটা SQL কুয়েরি লেখা একদম শুরু থেকে শেখায়, প্রতিটা উদাহরণ বাস্তব ডেটাসেট দিয়ে বোঝানো হয়েছে। JOIN আর GROUP BY অংশটা আমার কাছে সবচেয়ে দরকারি লেগেছে। শুধু সাবকুয়েরি অংশে আরেকটু বেশি প্র্যাকটিস এক্সারসাইজ থাকলে ভালো হতো।

Sirje Luik EE
★ 5 · October 26, 2026

मुझे SQL से हमेशा डर लगता था, लेकिन इस कोर्स ने बिल्कुल शुरुआत से समझाना शुरू किया और धीरे-धीरे मुश्किल क्वेरीज़ तक ले गया। हर टॉपिक के साथ एक असली डेटासेट पर प्रैक्टिस करने को मिलती है, जिससे चीज़ें सिर्फ याद नहीं बल्कि समझ में आती हैं। JOIN, GROUP BY और सबक्वेरी जैसे टॉपिक्स को इतनी आसान भाषा में समझाया गया है कि मैं खुद हैरान हूं कि अब मैं अपने डेटा से जुड़े सवालों के जवाब खुद क्वेरी लिखकर निकाल सकती हूं। हर लेसन के अंत में छोटे-छोटे एक्सरसाइज हैं जो सीखी हुई चीज़ को तुरंत टेस्ट करने में मदद करते हैं। कुल मिलाकर यह कोर्स किसी भी शुरुआती के लिए एक बेहतरीन नींव है।

Paul Durand FR Verified learner
★ 5 · June 27, 2026

Je ne connaissais rien aux bases de données et je suis maintenant capable d'écrire des requêtes propres pour sortir exactement les chiffres dont mon équipe a besoin. La progression est excellente, on part de SELECT et WHERE puis on enchaîne naturellement sur les jointures et les regroupements avec GROUP BY. J'ai particulièrement apprécié les exemples tirés de vraies tables de ventes, ça rend tout concret. Chaque notion est suivie d'un petit exercice qui force à pratiquer plutôt qu'à seulement lire. À la fin, filtrer et agréger des données ne me fait plus peur du tout. Une vraie porte d'entrée vers l'analyse de données, je recommande vivement.

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