Learn SQL and Python for Free: Two Practical Courses for Job Seekers

A job description says “SQL.” Another asks for Python. Before adding either to your résumé, give yourself a concrete task: answer a business question with a query, or automate a small report and explain how you checked it.

READY’s new SQL for Beginners and Python for Beginners courses are designed around those outcomes. Both are free to learn with a READY account. Each has eight guided lessons across five modules, worked examples, practice cases, explained knowledge checks, module quizzes, a study guide and an open-book practice test.

You do not need a real client or access to company data. The projects use original fictional records, including deliberate data problems that help you practice useful judgment.

SQL: turn a business question into a checked report

The free SQL beginner course starts with tables, rows, keys and a simple SELECT. You will learn to filter and sort records, handle missing values, summarize groups, join tables and organize a readable report with a common table expression.

The final question sounds straightforward: how much paid order value belongs to each region? The supplied dataset contains a cancelled order, an unknown customer and an unrecorded discount. Those details change what you can responsibly claim.

An INNER JOIN can produce a tidy regional report while silently dropping an unmatched order. A LEFT JOIN keeps that order visible so you can label its region unassigned and reconcile the total. You will check the number of rows and the amount before and after the join, rather than treating a query that runs as proof that the answer is correct.

Your final work sample includes the setup file, report query, expected output and a short explanation of the limitations. The example uses SQLite in your own practice environment; READY does not provide an embedded SQL console. You can still read the lessons and complete the checks without installing software.

If you have started with Excel for Beginners, SQL adds a different way to work with structured records. Power BI for Beginners then offers a practical introduction to modeling and presenting data. These are related learning options, not mandatory prerequisites or a promise of job readiness from completing a sequence.

Python: automate a small report without hiding errors

The free Python beginner course begins with a short script and builds toward a complete CSV reporting project. You will practice variables, strings and integers, lists and dictionaries, conditions, loops, functions, file handling and debugging.

The supplied order file has a duplicate ID, invalid quantities and an empty region. Your script must explain what it accepts, what it rejects and why. It preserves the original file, writes a cleaned dataset, summarizes regional values and creates a rejection log.

You will also learn why a rerun should not silently overwrite yesterday’s results. The project writes into a new output directory and stops when that directory already exists. This is a beginner automation with stated limits, not an unattended production system.

Hands-on work uses Python 3 and its standard library on your own computer or approved environment. No external package, paid AI service or cloud account is required. The complete downloadable script comes with expected results so that you can compare the output with an independent calculation.

Practice checking AI help, too

Both courses include prepared examples of plausible AI mistakes. A SQL suggestion may exclude unmatched records. A Python “simplification” may remove duplicate checking or turn missing values into invented zeros.

The useful habit is the same: define the task, preserve the source facts, inspect the proposed change and test the output. A confident explanation is not a substitute for reconciliation. You do not need to purchase an AI tool to complete these exercises.

Turn practice into a clearer career story

Choose the course closest to the work you want to understand. Start with SQL if you want to ask questions of structured tables. Start with Python if you want to learn programming through a small repeatable file-processing task.

As you finish, explain your project in four parts: the question, the rules, the checks and the limitations. Label fictional practice honestly. A clear account of an error you caught is more informative than an unexplained screenshot of a correct-looking total.

For additional role-specific learning, explore the Data Analytics Manager Career Pathway or the broader Career Pathways catalog. READY Certifications are separate assessments; completing a free course does not automatically award one, confer a vendor credential or guarantee a hiring outcome.

Start with SQL for Beginners, Python for Beginners, or browse all Free Training.