Master SQL For Data Science from Udemy

This course will turn you into a SQL query wizard. You'll learn the skills you need to extract critical insight from data sitting in a database. There are over 100 puzzles scattered throughout the course with in-depth solutions providing plenty of opportunity for you to practice. After completing the course and all of it's assignments, I promise you, you'll never be afraid to look at a large SQL query again.

Just like my other courses, I follow the no-student-left behind principle; which means that I start from the very basics. You do not need any prerequisites to take this course. We move step by step into more advanced topics as we delve into the world of advanced querying techniques using subqueries, aggregations, joins, rollups and cubes, window functions, transposing & ranking data and using conditional expressions in very interesting ways.

With over 17,000 students and a 4.6 rating, you won't find a better source to learn SQL for Data Science elsewhere.

Don’t just take it from me, take it from other students that have taken this course.

Here’s reviews from real students that took this course

You really can't beat this course for the value. The instructor is excellent (clear explanations, easy to understand, extremely knowledgeable), and his style of constantly requiring the student to apply what they've just learned with practice queries proves to be a very effective method of learning. He covers an amazing amount of ground in just 9 hours. It was just the refresher course I needed after not having done much SQL in the past year.

Just one word - Exceptional. Don't give a second thought, just go for it. Thanks a lot Mr.Imtiaz Ahmad. The way concepts are explained in the lectures are quite good. The assignments gave me so much confidence and I feel so happy that I am quite well versed in SQL now. Watch the videos, try out the assignments on your own and practice as much as you can with different problems.

It's a brilliant course that can help to understand SQL from easy concepts to difficult tasks. Besides, the explanations are always clear, so they let me learn a lot without searching for additional information in Internet. The course contains lots of practical tasks that allowed me not only to understand queries, but to also use them correctly.

Great. I really like the exercises that are included. They are essential to learning the course content.

After attending the course and doing most of the exercises, I feel very confident in SQL world. The course is designed well and every lesson gives you good amount of knowledge. Explanation and exercises are worth learning and practicing.

Topics covered in this course:

What is a Database
Installing Postgres
Creating Tables
SELECT Statement
WHERE Clause
AND & OR
Filtering Operators
ORDER BY
LIMIT
DISTINCT
Renaming Columns
Functions
GROUP BY & HAVING Clauses
Aggregation Queries
Subqueries
CASE Clause
Correlated Subqueries
Table Joins
INNER and OUTER Joins
As always, I offer a 30 day money back guarantee if you're not satisfied, but you won't need it.

What's inside

Learning objectives

Write complex sql statements to query the database and gain critical insight on data
Practice every step of the way by working through 100+ puzzles (with solutions)
Transition from the very basics to a point where you can effortlessly work with large sql queries

Learn advanced querying techniques
Become a master sql developer

Write complex sql statements to query the database and gain critical insight on data
Practice every step of the way by working through 100+ puzzles (with solutions)
Transition from the very basics to a point where you can effortlessly work with large sql queries
Learn advanced querying techniques
Become a master sql developer

Syllabus

Database Basics

Course Overview

What is a Database

How to Proceed in this Course

Dedicated TA Support

Join our Online Community (Discord)

Install Postgres Database on Mac

Troubleshoot Connection

Install Postgres on Windows

Create Table and Insert Statements

Data file that will be used in the course (IMPORTANT)

Prepare the Database

Assignment 1: Create More Tables and Populate Data

SQL Query Basics

Introducing the SELECT Statement

Filter Data Using the WHERE Clause + AND & OR

Filtering Operators - IN, NOT IN, IS NULL, BETWEEN

[EXERCISES]: WHERE Clause and Operators

ORDER BY, LIMIT, DISTINCT and Renaming Columns

Assignment 2: Practice Writing Basic Queries (5 Problems)

Using Functions

UPPER(), LOWER(), LENGTH(), TRIM() + Boolean Expressions & Concatenation

Career Advice

String Functions: SUBSTRING(), REPLACE(), POSITION() and COALESCE()

Grouping Functions: MIN(), MAX(), AVG(), SUM(), COUNT()

Assignment 3: Practice with Functions, Conditional Expressions and Concatenation

Grouping Data and Computing Aggregates

Understanding Grouping

GROUP BY & HAVING Clauses

[EXERCISES]: Using GROUP BY and HAVING Clauses

Assignment 4: Practice Aggregation Queries

Using Subqueries

Aliasing Sources of Data

Introducing Subqueries

Subqueries Continued + [EXERCISES]

Subqueries with ANY and ALL Operators + [EXERCISES]

[EXERCISES]: More Practice with Subqueries

Assignment 5: Practice with Subqueries

Using the CASE Clause in Interesting Ways

Conditional Expressions Using CASE Clause + [EXERCISES]

Transposing Data using the CASE Clause + [EXERCISES]

Assignment 6: Practice Using Case and Transposing Data

Advanced Query Techniques using Correlated Subqueries

Understanding Correlated Subqueries

[EXERCISES]: Correlated Subqueries Continued

Working with Multiple Tables

Introducing Table Joins

INNER and OUTER Joins + [EXERCISES]

Using UNION, UNION ALL and EXCEPT Clauses + [EXERCISES]

Cartesian Product with the CROSS JOIN

[EXERCISES]: Joins and Subqueries Continued

Creating Views vs. Inline Views

Assignment 7: ADVANCED Problems using Joins, Grouping and Subqueries

Window Functions for Analytics

Window Functions using the OVER() Clause

Ordering Data in Window Frames

RANK, FIRST_VALUE and NTILE Functions

Working with LEAD and LAG Functions

Working with Rollups and Cubes

Difficult Query Challenges

Challenging Puzzles For the Brave

Course Extras!

Bonus Lecture

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Uses Postgres, a popular open-source relational database management system, which is widely used in data science and analytics

Covers advanced querying techniques like subqueries, aggregations, joins, and window functions, which are essential for complex data analysis

Starts with database basics and progresses step-by-step to more advanced topics, making it suitable for learners with no prior SQL experience

Includes over 100 puzzles with in-depth solutions, providing ample opportunity to practice and reinforce learning

Teaches techniques for transposing and ranking data, which are useful for data presentation and reporting

Requires installing Postgres, which may require some technical proficiency for those completely new to database management systems

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Master SQL For Data Science with these activities:

Review Database Concepts

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Solidify your understanding of fundamental database concepts before diving into SQL.

Browse courses on Database

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Review the definition of a database and its purpose.
Understand different types of databases (relational, NoSQL).
Familiarize yourself with database terminology (tables, rows, columns, keys).

Practice Basic SQL Queries

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Reinforce your understanding of basic SQL syntax and commands through practice.

Browse courses on SQL Queries

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Write SELECT statements to retrieve data from a sample database.
Use WHERE clauses to filter data based on specific conditions.
Practice using ORDER BY, LIMIT, and DISTINCT clauses.
Solve SQL puzzles on platforms like HackerRank or LeetCode.

Review 'SQL for Data Analysis'

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Supplement your learning with a dedicated book on SQL for data analysis.

View Putting Knowledge to Work on Amazon

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Read the book cover to cover.
Work through the examples in the book.
Try to apply the techniques learned to your own data analysis projects.

Three other activities

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Show all six activities

Create a SQL Cheat Sheet

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Consolidate your knowledge by creating a cheat sheet of commonly used SQL commands and functions.

Browse courses on SQL

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Identify the most important SQL commands and functions covered in the course.
Organize the commands and functions into logical categories (e.g., SELECT, WHERE, JOIN).
Provide concise explanations and examples for each command and function.
Share your cheat sheet with other students in the course.

Create a Data Analysis Project

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Apply your SQL skills to a real-world data analysis project to solidify your learning.

Browse courses on Data Analysis

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Choose a dataset relevant to your interests (e.g., sales data, customer data).
Define specific questions you want to answer using SQL queries.
Write SQL queries to extract, filter, and aggregate data to answer your questions.
Document your findings and insights in a report or presentation.

Review 'Seven Databases in Seven Weeks'

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Broaden your understanding of the database landscape by exploring different database technologies.

View Seven Databases in Seven Weeks: A Guide to... on Amazon

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Read the chapters related to relational databases.
Compare and contrast relational databases with NoSQL databases.
Consider the strengths and weaknesses of different database technologies for different data science applications.

Career center

Learners who complete Master SQL For Data Science will develop knowledge and skills that may be useful to these careers:

Data Analyst

A Data Analyst extracts insights from data, often using SQL to query databases; this course helps build a foundation for performing this essential work. Data analysts use tools such as SQL to explore data, build reports and dashboards, and use their findings to inform business decisions. This course's focus on complex SQL queries and its 100+ practice puzzles provides extensive opportunities to hone the practical skills needed to do this work. Mastering subqueries, aggregations, and joins, as taught in the course, are particularly useful for a Data Analyst.

See salaries and explore the career path for Data Analyst

Business Intelligence Analyst

Business intelligence analysts leverage data to understand trends, improve efficiency, and support business strategy which involves writing SQL queries. This course, teaching advanced querying techniques, helps students to extract valuable insights from databases. A business intelligence analyst typically works with large datasets and complex SQL queries. This course's detailed coverage of GROUP BY, HAVING, window functions, and CASE statements gives learners the ability to manipulate and analyze data efficiently. The focus on practical assignments ensures learners are well-prepared for real-world business scenarios.

See salaries and explore the career path for Business Intelligence Analyst

Reporting Analyst

Reporting analysts are responsible for creating reports that summarize key business insights, and they heavily rely on SQL to gather the necessary data. This course helps a reporting analyst become more adept at writing SQL queries. Reporting analysts use SQL to query databases, aggregate information, and generate reports that inform business decisions. The advanced querying techniques covered in this course, like subqueries and window functions, are directly applicable to preparing complex reports. The course's practical emphasis helps learners apply their knowledge to real-world reporting scenarios.

See salaries and explore the career path for Reporting Analyst

Data Scientist

Data Scientists use statistical methods and machine learning to extract knowledge from data, using SQL data to perform their work. This course helps build a foundation for this role. Many data science projects require pulling data from databases, where knowledge of SQL and its many clauses is essential. The course’s focus on subqueries, joins, window functions, and conditional expressions provides learners with the skills necessary to perform data manipulation and aggregation. This course will make a data scientist better at data aquisition.

See salaries and explore the career path for Data Scientist

Data Engineer

Data Engineers build and maintain the infrastructure for data storage and processing, with SQL being one of the fundamental tools in their toolbox. This course helps build a foundation for effective data engineering. A Data Engineer needs to understand how to extract, transform, and load data, skills that are closely related to the topics taught in this course. The course's focus on advanced querying techniques, including window functions and subqueries provides essential skills needed to implement these processes. The course's puzzles can help a data engineer practice and develop these skills.

See salaries and explore the career path for Data Engineer

Database Developer

Database developers design and implement databases, and they may use SQL to write queries. This course helps a database developer better understand the intricacies of SQL, especially when it comes to building and maintaining data structures. Database developers need to be proficient in writing complex SQL queries to create and manipulate databases. The course's detailed breakdown of SQL concepts, including joins, subqueries, and window functions, provides a solid foundation. This course provides practical exercises that make learners more comfortable working with SQL.

See salaries and explore the career path for Database Developer

Research Scientist

Research scientists use programming and data to perform experiments and analyze their results, where SQL can help them access that data. This course can be useful to a research scientist as it provides them with a foundational understanding of SQL. Research scientists use SQL to query and manage data for analysis. The course can help them make more effective use of their time by giving them the ability to quickly access the data they need, allowing them to better focus on their research. The practical exercises in this course will help a scientist master SQL more quickly.

See salaries and explore the career path for Research Scientist

Database Administrator

Database Administrators manage and maintain databases, and while this role doesn't usually involve writing queries, this course provides the ability to do so, along with a deep understanding of databases. Database administrators need to understand data structures, and writing queries is a valuable tool for monitoring and optimizing performance. Through this course's detailed study of SQL, candidates develop this understanding. This makes them not only administrators but also problem solvers, able to quickly identify issues with their queries. The database basics sections of this course are particularly helpful for someone in this role.

See salaries and explore the career path for Database Administrator

Analytics Consultant

Analytics consultants help organizations better analyze data to improve their business operations; this often involves writing SQL queries to extract data. This course may be useful as it provides the necessary SQL skills to access and manipulate data from databases. An analytics consultant must be able to quickly and accurately extract data for analysis. This course's focus on advanced SQL techniques such as window functions, rollups, and cubes makes it particularly helpful for a consultant who must generate custom analyses for clients. The 100+ puzzles and in-depth solutions in the course will be beneficial to a prospective analytics consultant.

See salaries and explore the career path for Analytics Consultant

Machine Learning Engineer

Machine learning engineers build and deploy machine learning systems, which requires data, and they may use SQL to access that data. This course may be helpful as it provides the SQL skills needed for this task. Machine learning engineers typically need to extract and transform data for model training. This course, with its focus on advanced SQL techniques such as joins, subqueries, and aggregations, provides a foundational skill set for gathering and preparing data. The course may help a machine learning engineer better extract the data they need.

See salaries and explore the career path for Machine Learning Engineer

Financial Analyst

Financial analysts examine financial data, use that data to provide insights, and may use SQL to access that data. This course may be useful, as it can provide the SQL skills to access and manipulate the data. Financial analysts often need to query databases to extract financial data and perform their job, and this course may help them do so. The course's exercises in using aggregations, subqueries, and conditional expressions help with the retrieval of financial data, making it useful for a candidate in this field.

See salaries and explore the career path for Financial Analyst

Quantitative Analyst

Quantitative analysts, especially in finance, use complex algorithms and data to make predictions; they may also use SQL to gather this data. This course may be useful, as it can help a quantitative analyst extract data from a database. Quantitative analysts might need to use SQL to query and manage data. This course's instruction on writing queries, especially the sections on subqueries, joins, and window functions may be helpful in this role.

See salaries and explore the career path for Quantitative Analyst

Operations Analyst

Operations analysts seek to improve the efficiency of business processes, where SQL can be used to extract relevant data. This course may be useful in providing the technical skills to access the data operations analysts need. In order to analyze operations, analysts must often extract various data points from databases. This course's focus on SQL provides the necessary skill to access this data. The course exercises in querying, filtering, and aggregating data can also help operations analysts.

See salaries and explore the career path for Operations Analyst

Market Research Analyst

Market Research Analysts examine market conditions to assess a product's or service's potential, which can often involve writing SQL queries to access and analyze market data. Though this course may be useful, it is a technical skill that can help a market research analyst extract the necessary data. The course's exercises in grouping, filtering, and aggregating data will be relevant to market analysts who must summarize and compare different market segments. The course does not focus on statistical analysis, but instead helps with the important ability to get the data required from a database.

See salaries and explore the career path for Market Research Analyst

Software Developer

Software developers create and maintain software applications, and they often need to interact with databases, where they use SQL to retrieve information. This course may be useful for a software developer as it provides a better understanding of SQL. Software developers that work with databases use SQL on a daily basis, and this course can help them better understand how to do that. This course provides the necessary foundation for such tasks through its lessons on writing queries, using clauses and functions, and joining data, and it includes exercises to improve practical skills.

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Master SQL For Data Science

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