Master SQL for Data Analysis
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Master SQL for Data Analysis
This course is part of Data Science Essentials: Analysis, Statistics, and ML Specialization
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What you'll learn
Master key SQL commands and queries for data retrieval, manipulation, and analysis
Understand the relational model, including tables, keys, and indexes
Perform advanced data analysis using subqueries, conditional logic, and window functions
Simplify complex queries with views and common table expressions (CTEs)
Skills you'll gain
Tools you'll learn
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There are 14 modules in this course
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A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. In this comprehensive course, you will master SQL and its application in data analysis, equipping you with the essential skills to extract valuable insights from databases. Beginning with foundational database concepts, you'll progress through various SQL commands and queries, focusing on real-world problem-solving. You'll learn to create and manage databases, tables, and schemas while understanding key concepts such as primary and foreign keys, indexes, and partitions. The course is structured in two levels. Level 1 covers essential database operations, from data retrieval using SELECT queries to complex filtering and sorting techniques. In Level 2, you’ll advance into combining data from multiple tables, working with subqueries, and applying window functions for in-depth analysis. By the end of the course, you’ll be confident in using SQL for data manipulation, transformation, and analysis. This course is ideal for aspiring data analysts and anyone looking to gain practical SQL skills. There are no specific prerequisites, though basic understanding of data structures will be helpful. This course is suitable for beginners and those looking to enhance their data analysis toolkit.
In this module, we will introduce the course and its content. You will understand the importance of learning SQL for data analysis and get a brief overview of the course structure and objectives.
What's included
1 video2 readings
1 video•Total 3 minutes
- Introduction•3 minutes
2 readings•Total 20 minutes
- Introduction to the Course 'Master SQL for Data Analysis'•10 minutes
- Full Course Resources•10 minutes
In this module, we will kick off with Level 1 of the course, where you will learn about the foundational role of SQL in data analysis, understand the course roadmap, and set up PostgreSQL for your learning environment.
What's included
3 videos1 assignment
3 videos•Total 8 minutes
- Welcome to Level 1!•1 minute
- Our Learning Objectives•2 minutes
- DB Installation•4 minutes
1 assignment•Total 15 minutes
- Getting Started - Assessment•15 minutes
In this module, we will cover the fundamental terminology and concepts related to relational databases, including tables, keys, schemas, and indexing strategies to improve query performance.
What's included
8 videos1 assignment
8 videos•Total 35 minutes
- Overview - Database, DBMS, SQL•6 minutes
- Tables, Columns, Rows•4 minutes
- Primary and Foreign Keys•3 minutes
- Relational Model, ER Diagram•3 minutes
- Schema, Metadata, Data Dictionary•7 minutes
- Null Values•2 minutes
- Indexes•5 minutes
- Partitions•4 minutes
1 assignment•Total 15 minutes
- Databases - Terminology - Assessment•15 minutes
In this module, we will focus on creating and organizing databases, schemas, and tables. You will also learn how to manipulate data with essential SQL commands like INSERT, UPDATE, and DELETE.
What's included
6 videos1 assignment
6 videos•Total 27 minutes
- Overview•2 minutes
- Creating - Database and Schema•5 minutes
- Creating Tables - Introduction•4 minutes
- Creating Tables - Constraints•6 minutes
- Inserting Data•5 minutes
- Update and Delete•4 minutes
1 assignment•Total 15 minutes
- SQL - Creating Databases, Schemas, and Tables - Assessment•15 minutes
In this module, we will dive into SQL queries, focusing on retrieving data using SELECT statements. We will cover filtering, sorting, and grouping techniques to enhance your data retrieval skills.
What's included
11 videos1 assignment
11 videos•Total 47 minutes
- Overview•1 minute
- Query Data (SELECT)•10 minutes
- Filtering Conditions (WHERE) – Part 1•5 minutes
- Filtering Conditions (WHERE) – Part 2•5 minutes
- Alias for Tables and Columns•2 minutes
- Searching Patterns (Wildcards)•3 minutes
- Distinct Values (DISTINCT)•4 minutes
- Sorting Rows (ORDER BY)•3 minutes
- Grouping Rows (GROUP BY and HAVING)•10 minutes
- Data-Type Conversions (CAST)•2 minutes
- Database Dictionary•3 minutes
1 assignment•Total 15 minutes
- SQL - Retrieving Data with Queries - Assessment•15 minutes
In this module, we will summarize the key learnings from Level 1 and highlight how these concepts will be foundational for the more advanced topics covered in the next level of the course.
What's included
1 video1 assignment
1 video•Total 9 minutes
- Let's Recap!•9 minutes
1 assignment•Total 15 minutes
- Course Summary - Level 1 - Assessment•15 minutes
In this module, we will introduce the second level of the course, where you will dive deeper into advanced SQL concepts and learn how to apply them to real-world data analysis challenges.
What's included
1 video
1 video•Total 2 minutes
- Introduction•2 minutes
In this module, we will get you started with Level 2 by providing you with the necessary datasets and objectives. You'll learn to load them into PostgreSQL and get a preview of the more complex topics ahead.
What's included
4 videos1 assignment
4 videos•Total 22 minutes
- Welcome to Level 2!•3 minutes
- Our Learning Objectives•3 minutes
- Loading the Books Datasets•9 minutes
- Loading the eCommerce Datasets•7 minutes
1 assignment•Total 15 minutes
- Getting Started with Level 2 - Assessment•15 minutes
In this module, we will explore how to combine data from multiple tables using SQL operators and join techniques. You will learn how to merge datasets and analyze complex data relationships.
What's included
5 videos1 assignment
5 videos•Total 24 minutes
- Overview•1 minute
- Union, Intersect, Except•7 minutes
- Cross-Join•3 minutes
- Inner-Join•6 minutes
- Outer-Join•7 minutes
1 assignment•Total 15 minutes
- SQL - Combining Data from Multiple Tables - Assessment•15 minutes
In this module, we will dive into subqueries, learning how to use them to extract valuable insights from data. We will explore various types of subqueries and demonstrate their usage in different SQL clauses.
What's included
5 videos1 assignment
5 videos•Total 20 minutes
- Overview•1 minute
- What Is Subquery?•3 minutes
- Conditional Logic – Single Row•6 minutes
- Conditional Logic – Multiple Rows•7 minutes
- As Inline Views (FROM)•3 minutes
1 assignment•Total 15 minutes
- SQL – Subqueries - Assessment•15 minutes
In this module, we will explore SQL’s CASE expression, a powerful tool for transforming and classifying data. You will learn how to apply conditional logic to create flexible and dynamic query results.
What's included
3 videos1 assignment
3 videos•Total 11 minutes
- Overview•2 minutes
- Simple CASE - Data Transformation•4 minutes
- Searched CASE – Classification and Binning•5 minutes
1 assignment•Total 15 minutes
- SQL - Conditional Logic (CASE) - Assessment•15 minutes
In this module, we will explore window functions, which allow for advanced analysis across data partitions. You will learn how to use window functions for ranking, sequencing, and analyzing data in complex ways.
What's included
4 videos1 assignment
4 videos•Total 11 minutes
- Overview•3 minutes
- Creating a Window Function•3 minutes
- Sequential Numbers•3 minutes
- Ranking•2 minutes
1 assignment•Total 15 minutes
- SQL - Window Functions - Assessment•15 minutes
In this module, we will explore techniques to simplify complex SQL queries using Views and Common Table Expressions (CTEs), enhancing both query performance and readability.
What's included
3 videos1 assignment
3 videos•Total 10 minutes
- Overview•1 minute
- Virtual Tables (Views)•7 minutes
- Common Table Expressions (CTEs)•3 minutes
1 assignment•Total 15 minutes
- SQL – Simplify Queries (Views, CTEs) - Assessment•15 minutes
In this module, we will summarize the key learnings from Level 2 and discuss how these advanced SQL techniques will help you in your data analysis projects going forward.
What's included
1 video1 reading2 assignments
1 video•Total 6 minutes
- Let's Recap•6 minutes
1 reading•Total 10 minutes
- Conclusion to the Course 'Master SQL for Data Analysis'•10 minutes
2 assignments•Total 30 minutes
- Full Course Practice Assessment•15 minutes
- Full Course Assessment•15 minutes
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Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.
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Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.
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