31 resources · 29 free
Data Science & Analytics
Extract insight from data — statistics, Python analysis, dashboards, and decision-making.
Getting Started with Microsoft Excel (Coursera GP)
Coursera Guided Project (Summer Scaggs): create an Excel spreadsheet with free Office 365 — layout, navigation, ribbon, data entry, basic formulas, formatting. ~1.5 hours, desktop only.
Introduction to Data Analysis using Microsoft Excel (Coursera GP)
Coursera Guided Project (Paula Del Rey): data analysis with Excel — sorting/filtering, IF function, VLOOKUP, PivotTables on sample sales data. ~2 hours, desktop only.
Use SurveyMonkey to Create a Survey and Analyze Results (Coursera GP)
Coursera Guided Project: create a SurveyMonkey account, build and publish surveys, gather feedback, analyze survey results. ~2 hours, desktop only, shareable certificate.
Getting Started in Google Analytics (Coursera GP)
Coursera Guided Project: getting started in Google Analytics — account setup, property configuration, reports, audience and behavior analysis.
Data Science Challenge (Coursera Short Course)
Coursera Short Course: data science challenge — end-to-end data analysis exercise, data cleaning, exploration, visualization, and insights.
Kaggle Learn: Pandas
Free micro-course on pandas, the essential Python library for data analysis. Short lessons plus interactive exercises covering Series and DataFrames, filtering, grouping, reshaping and joining data. Runs entirely in the browser with no setup. A perfect first step before tackling real datasets on Kaggle. Part of Kaggle's free Learn curriculum used by millions.
Mode SQL Tutorial
Free interactive SQL tutorial from Mode Analytics covering basic through advanced SQL. Learn SELECT statements, joins, aggregations, window functions and query optimization with real business data. Includes an in-browser SQL editor so you can practice without installing anything. Written by data analysts for aspiring analysts. One of the most recommended SQL learning resources.
Google Analytics Academy
Free online courses from Google covering Google Analytics 4, Google Ads and data measurement. Includes Analytics for Beginners and advanced courses with video lessons and assessments. Certificates are available at no cost. Ideal for marketers and analysts working with web data. Official training from the team that builds the product.
Microsoft Data Science for Beginners
Free 10-week, 20-lesson curriculum by Microsoft covering the full data science lifecycle. Lessons on statistics, data cleaning, visualization and ML come with notebooks, quizzes and assignments. Includes a final project and teacher-ready materials. Free on GitHub with an accompanying YouTube series. Part of Microsoft's popular For Beginners curriculum family.
freeCodeCamp Data Analysis with Python
Full free video course from freeCodeCamp on data analysis with Python. Covers NumPy, pandas, Matplotlib and Seaborn through hands-on projects including sea level analysis and medical examination data. Includes certification-style projects with guided solutions. Free on YouTube with hours of structured content. Ideal for self-taught learners.
Dataquest
Interactive data science learning platform with browser-based lessons and projects. The free tier includes select courses and lessons; the full curriculum requires a subscription. Covers Python, SQL, statistics, data cleaning and career paths. Exercises run in the browser with immediate feedback. Popular with career changers targeting data analyst and scientist roles.
Towards Data Science
Leading Medium publication for data science articles with thousands of practitioner-written posts. Covers Python, statistics, ML, visualization, career advice and tutorials. Articles are free to read with a Medium membership unlocking full access. Regular daily publishing keeps content current. Widely read by data professionals and learners at every level.
R for Data Science
Free online book by Hadley Wickham and Garrett Grolemund teaching data science with the tidyverse. Covers data import, tidying, transformation, visualization with ggplot2, modeling and communication. Written for beginners with no prior R experience. Free to read online; the print edition is paid. The standard first book for R-based data science.
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Python Data Science Handbook
Free online book by Jake VanderPlas covering the core Python data science stack. Deep dives into NumPy, pandas, Matplotlib and scikit-learn with runnable Jupyter notebooks. Each chapter combines reference material with practical examples. Free to read online with all notebooks on GitHub. A go-to reference for Python data scientists.
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DataCamp
Interactive data science and analytics learning platform. The free plan includes limited chapters of every course; unlimited access requires a subscription. Covers Python, R, SQL, Power BI, Tableau and data engineering with coding exercises in the browser. Hundreds of courses with skill tracks and certificates. Popular for structured hands-on learning.
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Tableau Public
Free version of Tableau for creating, publishing and sharing interactive data visualizations. Build dashboards and charts with a drag-and-drop interface and no code. Includes a huge gallery of community-created workbooks for inspiration. Free forever with public hosting; paid versions add private sharing. The most widely used visualization tool in analytics.
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Power BI Learning Catalog
Official free learning catalog from Microsoft for Power BI. Structured learning paths cover Power BI Desktop, DAX, data modeling and dashboards, from beginner to certification level. Includes free guided learning modules and documentation. Power BI Desktop itself is free to download. Ideal for analysts building reports on Microsoft's BI platform.
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Khan Academy Statistics and Probability
Free course covering statistics and probability from the ground up. Topics include descriptive statistics, probability distributions, confidence intervals, hypothesis testing and regression. Video lessons come with interactive exercises and progress tracking. No cost, no ads and suitable for beginners and students. One of the best free math foundations for data science.
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Statology
Free statistics and data science tutorial site with clear, beginner-friendly explanations. Covers statistical tests, Excel and Google Sheets formulas, and Python and R how-tos. Each tutorial includes step-by-step instructions and worked examples. Completely free with no paywall. A reliable quick reference for statistics concepts and software tasks.
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OpenIntro Statistics
Free open-source introductory statistics textbook by OpenIntro with full PDF and print-on-demand options. Covers probability, distributions, inference, regression and more with real data examples. Includes labs and exercises. Free to download legally and used at many universities. A credible, rigorous alternative to paid textbooks.
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SQLZoo
Free interactive SQL tutorial and reference with live exercises on a real database. Learn SELECT, joins, aggregates, subqueries and window functions with immediate feedback. Includes exercises on world, BBC and guesthouse datasets. No account needed and works in any browser. A classic hands-on way to practice SQL.
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SQLBolt
Free interactive SQL course teaching queries step by step. Covers SELECT, filters, joins, aggregation, subqueries and data modification with in-browser exercises. Each lesson includes a short explanation and a practice database. Quick to complete and great as a first SQL lesson. No signup required.
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W3Schools SQL Tutorial
Free SQL reference and tutorial with interactive Try It Yourself examples. Covers all major SQL statements with syntax, examples and quizzes. Includes a browser-based SQL playground to test queries. Free to use and widely used as a quick reference. Complements deeper courses with its concise format.
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NumPy Learn
Official learning resources for NumPy, the foundation of Python scientific computing. Includes absolute beginner tutorials, quickstart guides and in-depth user guides on arrays, broadcasting and linear algebra. The official documentation is free and always current. An essential reference for anyone doing data analysis in Python.
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pandas Getting Started Guide
Official pandas documentation with a Getting Started guide and 10-minute intro to DataFrames. Covers the most common data operations: reading data, cleaning, grouping, merging and visualization. Free, official and always up to date. The canonical reference for the Python data analysis library.
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Matplotlib Tutorials
Official tutorials for Matplotlib, Python's foundational plotting library. Learn to create line plots, histograms, bar charts and custom figures from beginner to advanced. Includes a usage guide, examples gallery and API reference. Free and maintained by the Matplotlib team. An essential companion for any data visualization workflow.
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Seaborn Tutorial
Official tutorial for Seaborn, the statistical visualization library built on Matplotlib. Covers relational plots, categorical plots, distributions, regression plots and themes. Includes an example gallery with full code. Free and official. The easiest way to make publication-quality statistical charts in Python.
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Our World in Data
Open data research publication with charts and datasets on global development, health, energy, poverty and more. Every chart includes the underlying data with free CSV downloads. Covers thousands of variables across decades. Run by the University of Oxford. An excellent source of real-world datasets and examples of great data communication.
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Kaggle Datasets
Free dataset repository from Kaggle with hundreds of thousands of public datasets. Browse by topic, popularity or task, and download CSVs or connect notebooks directly. Includes dataset descriptions, discussions and code examples from other users. Free to use for learning, projects and competitions. The go-to source for practice datasets.
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Awesome Data Science
Curated GitHub list of free data science learning resources, tools, books and tutorials. Organized by topic: Python, R, statistics, visualization, ML, deep learning and career resources. Community-maintained and regularly updated. Free to browse. A useful discovery index for finding quality resources fast.
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State of AI Report
Annual free industry report analyzing the state of artificial intelligence, covering research progress, industry trends, and policy analysis across hundreds of pages. Studied material for understanding where AI stands each year, complete with charts, model comparisons, and investment data.
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