Lesson 1
SQL Nanodegree Program Introduction
Welcome to the SQL Nanodegree program! In this lesson, you will learn more about the structure of the program and meet your instructors.
SQL
Nanodegree Program
Master SQL, the essential language for data analysis and insight-driven decision-making. This program covers SQL fundamentals, advanced querying, and database management. Learn to work with multiple tables, perform data aggregation and cleaning, use window functions, and optimize queries for large datasets. Apply your skills to real-world projects, analyzing deforestation data and redesigning databases. Gain proficiency in SQL for data analysis, database design, and management, preparing for roles requiring strong data manipulation and insight generation. Ideal for aspiring data analysts, business intelligence professionals, and those seeking to enhance their data querying and management skills.
Master SQL, the essential language for data analysis and insight-driven decision-making. This program covers SQL fundamentals, advanced querying, and database management. Learn to work with multiple tables, perform data aggregation and cleaning, use window functions, and optimize queries for large datasets. Apply your skills to real-world projects, analyzing deforestation data and redesigning databases. Gain proficiency in SQL for data analysis, database design, and management, preparing for roles requiring strong data manipulation and insight generation. Ideal for aspiring data analysts, business intelligence professionals, and those seeking to enhance their data querying and management skills.
Beginner
2 months
Real-world Projects
Completion Certificate
Last Updated November 5, 2024
Skills you'll learn:
SQL subqueries • SQL joins • Mongodb • SQL CRUD commands
Prerequisites:
Basic SQL
Courses In This Program
Course 1 • 40 minutes
Welcome to the SQL Nanodegree Program
Welcome to the SQL Nanodegree program! Learn more about the pre-requisites, structure of the program, and getting started!
Lesson 1
SQL Nanodegree Program Introduction
Welcome to the SQL Nanodegree program! In this lesson, you will learn more about the structure of the program and meet your instructors.
Lesson 2
Getting Help
You are starting a challenging but rewarding journey! Take 5 minutes to read how to get help with projects and content.
Course 2 • 4 weeks
Introduction to SQL
SQL is one of the most versatile tools available for extracting insights from stored data. Learn how to execute core SQL commands to define, select, manipulate, control access, aggregate, and join data and data tables. Understand when and how to use subqueries, several window functions, and partitions to complete complex tasks. Clean data, optimize SQL queries and write select advanced JOINs to enhance analysis performance, explain which cases you would want to use particular SQL commands, and apply the results from queries to address business problems.
Lesson 1
Course Overview
Lesson 2
Basic SQL
In this section, you will gain knowledge about SQL basics for working with a single table. You will learn the key commands to filter a table in many different ways.
Lesson 3
SQL Joins
In this lesson, you will learn how to combine data from multiple tables together.
Lesson 4
SQL Aggregations
In this lesson, you will learn how to aggregate data using SQL functions
Lesson 5
SQL Subqueries & Temporary Tables
In this lesson, you will learn about subqueries, a fundamental advanced SQL topic. This lesson will walk you through the appropriate applications of subqueries, the different types of subqueries, and review subquery syntax and examples.
Lesson 6
SQL Data Cleaning
Cleaning data is an important part of the data analysis process. You will be learning how to perform data cleaning using SQL in this lesson.
Lesson 7
SQL Window Functions
Window functions allow users to compare one row to another without doing any joins using one of the most powerful concepts in SQL data analysis.
Lesson 8
SQL Advanced JOINS & Performance Tuning
Learn advanced joins and how to make queries that run quickly across giant datasets. Most of the examples in the lesson involve edge cases, some of which come up in interviews.
Lesson 9
Congratulations
Lesson 10 • Project
Deforestation Exploration
In this project, students will be putting their SQL skills to the test to help determine where to concentrate efforts to combat deforestation.
Course 3 • 1 month
Management of Relational and Non-relational Databases
Databases need to be structured properly to enable efficient and effective querying and analysis of data. Build normalized, consistent, and performant relational data models. Use SQL Database Definition Language (DDL) to create the data schemas designed in Postgres and apply SQL Database Manipulation Language (DML) to migrate data from a denormalized schema to a normalized one. Understand the tradeoffs between relational databases and their non-relational counterparts, and justify which one is best for different scenarios. With a radical shift of paradigms, learn about MongoDB and Redis to get an understanding of the differences in behaviors and requirements for non-relational databases.
Lesson 1
Intro to DBMS: Relational and Non-Relational Databases
Get introduced to database management systems, as well as learning the difference between relational and non-relational databases.
Lesson 2
Normalizing Data
Find out about the different forms of normalized data for optimizing database storage.
Lesson 3
Data Definition Language (DDL)
Learn about the data definition language, such as creating tables and different data types.
Lesson 4
Data Manipulation Language (DML)
Dive into the data manipulation language in order to alter existing tables and data.
Lesson 5
Consistency with Constraints
Find out how to keep consistency amongst your data by adding constraints.
Lesson 6
Performance with Indexes
Maximize your database performance by using indexes when and where appropriate.
Lesson 7
Intro to Non-Relational Databases
With your relational database skills in hand, you’re ready for a look into the other side of data, with non-relational databases.
Lesson 8 • Project
Udiddit, A Social News Aggregator
Investigate a poorly designed database for Udiddit, a social news aggregator. You’ll design a new, normalized and performant database and migrate over data from the previous database.
Taught By The Best
Ziad Saab
Software Developer and Co-Founder DecodeMTL
Ziad is a seasoned software developer who loves mentoring and teaching. Currently working as an independent contractor, he previously co-founded and taught full-stack web development at DecodeMTL, Montreal's first web development bootcamp.
Derek Steer
CEO at Mode
Derek is the CEO of Mode Analytics. He developed an analytical foundation at Facebook and Yammer and is passionate about sharing it with future analysts. He authored SQL School and is a mentor at Insight Data Science.
Malavica Sridhar
Senior Product Manager at CircleUp
Malavica is a Senior Product Manager with over five years of experience. Her work includes building Helio, an ML platform used to identify breakout brands in early-stage consumer packaged goods companies.
Ratings & Reviews
Average Rating: 4.6 Stars
288 Reviews
Malik A.
April 6, 2023
This program is designed and implemented in professional way !
Kelvin M.
February 8, 2023
The program is a good match, easy where it needs be, hard where it needs be, to prepare someone in a good career path.
Pablo S.
January 14, 2023
My expectations are very good, I am happy to have pursued this program as it has help me to have adquired the foundational and practical SQL skills I needed.
Anonymous
November 27, 2022
Yes I have been learning a lot very quickly.
Tatiana P.
October 27, 2022
First of all, I’d like to thank you for the program. Globally, I enjoyed my experience, and I obtained many useful skills related to the designing/manipulating of relational databases. I especially appreciated the second part of the course (on Management of Relational and Non-relational Databases) which I found very clear, structured and well-explained. I also found the two projects extremely interesting. I progressed a lot thanks to them. What could be improved about the course is the first part (on the Introduction to SQL) that I found rambling and not quite clear to understand. Moreover, I found that the 3-hour-chapter on indexes and the chapter on non-relational databases were not really necessary for the scope of this course. They could have either been optional or put into another more advanced technical course. Thank you again for this opportunity! I enjoyed this learning journey!
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