From SQL Basics to Modern Analytics with Polars – Hands-On Data Skills for 2025

What you'll learn

Learn strategies to optimize memory usage and processing speed when dealing with massive datasets.
Master Subqueries & Common Table Expressions (CTEs) – Break down complex problems into manageable, efficient queries.
Solve Real-World Data Challenges – Work on practical, project-based problems that mimic real business scenarios.
Taking advantage of parallel and optimised analysis with Polars
Unlock the Power of Joins & Multi-Table Analysis – Master INNER, LEFT, RIGHT, FULL, SELF, and CROSS JOINs to combine data like a pro.
Analyze Trends with Window Functions – Use RANK, LAG, LEAD, NTILE, and more to perform advanced data analysis.

Requirements

No prior experience is required! This course is designed for beginners, Basic knowledge of Python & SQL is good to have, and I'll guide you step by step. All you need is a computer with an internet connection and a willingness to learn."

Description

SQL (Structured Query Language) is the industry-standard language for managing and analyzing data stored in relational databases. Whether you are a data analyst, business intelligence professional, marketer, product manager, student, or someone pivoting into tech, learning SQL can unlock the potential to extract meaningful insights from data.This course is designed to take you from the very basics of SQL to advanced techniques used in real-world data analysis. No prior programming or database experience is required. You'll learn by doing—writing SQL queries against real datasets and solving analytical problems that reflect practical scenarios.By the end of the course, you will not only understand how SQL works, but more importantly, you will be able to use it to answer complex business questions, clean and transform data, and create data-driven reports.

What you'll learn

This course is structured to help you gradually build your skills, layer by layer, with a focus on analysis:Getting Started with SQLWhat is SQL and why it matters in data analysisUnderstanding databases, tables, rows, and columnsSetting up your SQL environment (we will use a browser-based tool for easy access)Writing your first SQL queryCore SQL SkillsSelecting data using the SELECT statementFiltering results with WHERE conditionsUsing comparison and logical operatorsSorting and limiting data using ORDER BY and LIMITWorking with NULL values and handling missing dataData Aggregation and GroupingCounting, summing, averaging, and finding min/max valuesGrouping data with GROUP BYFiltering aggregated results with HAVINGCalculating percentages and ratios from grouped dataJoining TablesUnderstanding relationships between tablesInner joins, left joins, right joins, and full outer joinsCombining data from multiple tables to form complete viewsJoin best practices and avoiding common pitfallsData Cleaning and TransformationUsing CASE statements for conditional logicWorking with text using functions like UPPER, LOWER, SUBSTRING, REPLACEWorking with dates and times: extracting year, month, weekdayRemoving duplicates with DISTINCTData type conversions and formattingAdvanced SQL for AnalysisSubqueries: writing queries within queriesCommon Table Expressions (CTEs) for readable and reusable SQLWindow functions (ROW_NUMBER, RANK, LEAD, LAG) for advanced analysisAnalytical functions to calculate running totals, rolling averages, and moreUsing COALESCE and NULLIF for data managementReal-World Analytical ScenariosCohort analysis to study user behavior over timeFunnel analysis for product and marketing optimizationRetention analysis and churn measurementSales and revenue trends using time series SQLCustomer segmentation based on behavior and attributesPolars: The Next-Gen DataFrame LibraryIntroduction to Polars: Series, DataFrames, expressions, and lazy executionLearn how Polars differs from Pandas—and why it's fasterPerform data cleaning, filtering, aggregation, and joinsExplore both eager and lazy APIsApply Polars in real-world analytical workflowsSQL + Polars: Hybrid WorkflowsWhen to use SQL, when to use Polars—and how to use them togetherImport data from PostgreSQL into PolarsBuild complete data pipelines for analysis and reportingAnswer complex business questions using both toolsCreate reproducible analysis in Jupyter NotebooksWhy This Course?There are many SQL courses out there. This one is different because it focuses specifically on SQL for analysis, not just learning the syntax. You won't be building or administering databases; instead, you'll focus on asking and answering questions with data.Whether you want to become a data analyst, prepare for interviews, or simply level up your analytical thinking, this course is built for you. It's clear, practical, and based on real problems—not academic exercises.Who Is This Course For?This course is for anyone who wants to develop strong SQL skills for analyzing data. You do not need a computer science background or prior programming experience.This includes:Aspiring data analysts or data scientistsBusiness analysts and marketing professionalsProduct managers and operations managersUniversity students and career switchersProfessionals who work with Excel and want to transition to databasesAnyone curious about how data analysis is done in the real worldAll examples and projects use easy-to-understand datasets and are explained step-by-step, so even complete beginners can follow along.Outcomes and BenefitsBy the end of this course, you will:Be able to write clean and efficient SQL queriesUnderstand how to connect multiple tables and extract meaningful insightsKnow how to clean, filter, and transform data for reportingBe comfortable performing analytical tasks like segmentation, trends, and cohort analysisBuild confidence to apply for data roles that require SQLAdd a highly marketable skill to your resume or portfolioWhether you are preparing for a data analyst interview or looking to improve your decision-making with data, SQL is a critical skill that will serve you across industries.What You Will ReceiveOver 9 hours of video contentDownloadable notebooks and SQL scriptsReal datasets from different domains (sales, users, marketing, products)Practice exercises and quizzes to test your knowledgeCertificate of completionLifetime access to course materials and future updatesDedicated Q&A support to assist you on your journeyFinal NoteLearning SQL is one of the smartest investments you can make in your career. It opens doors to roles in data, analytics, and technology, and it empowers you to make data-informed decisions wherever you are.This course takes a practical, hands-on approach to mastering SQL for analysis—so that by the time you finish, you're not just someone who knows SQL, but someone who can use SQL to think analytically and drive action through data.Join today and take the first step toward becoming fluent in the language of data.

Who this course is for

This course is perfect for beginners who want to learn SQL analysis from scratch. Whether you're a student, a working professional, or simply curious about SQL analysis, this course will provide you with a solid foundation. No prior experience is required!
Homepage:

https://www.udemy.com/course/sql-data-analysis-advanced/