Data science has become an indispensable field, and proficiency in SQL is a valuable skill for data analysts and scientists. If you're a beginner with minimum or no prior coding experience, don't worry! These free courses are an excellent starting point, designed to cater to beginners and provide a solid foundation in SQL. Whether you're looking to extract and analyze data, work with databases, or enter the data science realm, these courses are tailored to suit your needs. So let’s check them out:
Duration: 4 weeks
What you’ll learn: SQL Basics, Joins, Aggregations, Subqueries and Temp Tables, Data Cleaning, Window Functions
About the course: This comprehensive course is designed to equip beginners with the necessary skills to effectively utilize Structured Query Language (SQL) for extracting and analyzing data from databases. You’ll will gain proficiency in SQL basics, including joins, aggregations, subqueries, temp tables, data cleaning, and window functions. Prior experience with data in spreadsheets is beneficial but not mandatory.
Duration: Approx. 14 hours
Fee: Free to audit
What you’ll learn: Data analysis, Data manipulation, SQLite
About the course: This course offers a comprehensive introduction to SQL and data analysis, geared towards individuals aspiring to apply these skills in data science. Starting with the basics, the course assumes no prior SQL knowledge and gradually builds your expertise to write both simple and complex queries for data extraction. You'll work with various data types, filter and refine results, create and manipulate tables, and grasp essential concepts like data governance and profiling. Practical programming assignments provide real-world application opportunities to enhance your learning. By the end of the course, you'll be adept at interpreting source data, shaping it for targeted analysis, and utilizing SQL as a professional data analyst.
Duration: Approx 2-3 hours
What you’ll learn: Query a database, Create Tables and Databases and be proficient with basic SQL querying
About the course: This course serves as an introduction to Databases and SQL Querying. No specific prerequisites are required to enroll in this course. It is designed for individuals who wish to familiarize themselves with Databases and Queries, particularly for potential analyst interviews. The course is accessible to anyone with a Windows machine, and it provides a step-by-step guide, starting from setting up the environment to creating the first table and writing the initial query. The course is structured to facilitate easy following along with the instructor. By the end of the course, participants should feel at ease crafting simple queries, including those related to Dates, String manipulation, and Aggregation, among other topics.
Duration: 3 hours
What you’ll learn: Basic SQL commands like SELECT,FROM, WHERE, JOINS, ORDER BY etc.
About the course: The "Intro to SQL" course on Kaggle Learn is taught by experienced data scientists, Rachael Tatman, and Alexis Cook, who are associated with Kaggle. This course is designed to instruct users on effectively utilizing SQL for working with databases, particularly focusing on Google BigQuery. The course covers fundamental SQL syntax, encompassing essential concepts like selecting, filtering, grouping, ordering, and joining data. Additionally, participants will learn how to leverage BigQuery to handle substantial datasets and execute queries efficiently.
Comprising six lessons, each accompanied by a tutorial and exercise, the course offers a comprehensive learning experience. Upon completing the course and successfully passing the quizzes, learners have the opportunity to obtain a certificate. The course is free of charge but does require some prior knowledge of Python.
Duration: Approx 31 hours
Fee: Free to audit
What you’ll learn: Cloud Databases (Db2), Python Programming, Jupyter notebooks, Relational Database Management System (RDBMS)
About the course: This comprehensive course covers SQL from basics to advanced concepts like JOINs. You'll learn foundational SQL statements (SELECT, INSERT, UPDATE, DELETE), filtering with WHERE, COUNT, DISTINCT, and LIMIT clauses, and working with DML and DDL. Topics include table creation, string patterns, result set ordering, and grouping, along with sub-queries and querying data from multiple tables. Accessing databases with Jupyter notebooks using SQL and Python is covered. Advanced topics like Stored Procedures, Views, ACID Transactions, and Inner & Outer JOINs are included. The hands-on learning approach involves real databases, Cloud tools, and analyzing real-world datasets for the final project.
In conclusion, these free SQL courses offer an invaluable opportunity to grasp the essentials of SQL and data analysis. Whether you're a complete beginner or want to reinforce your existing knowledge, these courses cater to various skill levels. By enrolling in these courses, you can enhance your data-related expertise and prepare yourself for exciting opportunities in the data science field.
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