Follow 16 curated data science courses and learning paths, from beginner fundamentals to advanced practice.
Free data analytics for sustainability from IBM
IBM SkillsBuild's learning path on data analytics for sustainability. Covers data collection, analysis techniques, visualization, and applying data-driven insights to environmental and sustainability challenges. Earn an IBM digital credential.
Learn PyTorch with interactive courses
A curated collection of PyTorch courses on Codecademy, covering everything from intro to neural networks to building GPT models from scratch. Includes free and paid options for all skill levels.
Master data manipulation with pandas
Learn how to manipulate DataFrames with pandas, the most popular Python library for data analysis. Covers reading data, filtering, grouping, merging, and cleaning real-world datasets.
Build CNNs with TensorFlow & Keras - free
A free Kaggle Learn course that teaches you to build convolutional neural networks with TensorFlow and Keras. Master the core components of convnets: convolution, ReLU, maximum pooling, sliding windows, custom architectures, and data augmentation. Includes bonus lessons on TPU submissions and transfer learning.
Master Excel from scratch with free certificate
A free Excel specialization from Edraak covering everything from basics to advanced skills. Includes 6 courses: Excel functions & tricks, VBA programming, dashboards, data analysis, spreadsheets, and advanced Excel techniques. Free certificate available.
Build production RAG systems with LLMs & vector databases
A DeepLearning.AI course on Coursera teaching you to design and build RAG systems. Learn retrieval methods (semantic search, BM25, hybrid), vector databases (Weaviate), chunking, reranking, prompt engineering, hallucination detection, agentic RAG, and production monitoring. 5 modules with hands-on programming assignments.
Data science fundamentals from Cisco
A Cisco Networking Academy course introducing data science fundamentals. Covers data collection, cleaning, analysis, visualization, machine learning basics, and real-world data science workflows using Python.
Complete data engineering career track
A comprehensive DataCamp career track covering data engineering with Python. Includes data engineering fundamentals, ETL pipelines, relational databases, Apache Spark, data warehousing, and real-world projects. Free on Archive.org.
Free beginner course: 5 lessons + 25 practices to query Postgres
A free beginner course on CodeSignal Learn that teaches SQL through hands-on practice with real PostgreSQL databases. Covers the SQL basics behind reliable data querying and retrieval: selecting, filtering, sorting, and interpreting data with SELECT, WHERE, ORDER BY, aggregations, and working with tables. Includes 5 lessons, 25 practice exercises, and ~2 hours of interactive learning - no prior experience needed.
Microsoft on Coursera - Excel + Copilot, 4 courses, shareable certificate
Microsoft Excel Professional Certificate on Coursera: 4 courses (Copilot fundamentals, data cleaning, advanced analysis, automation with macros/VBA) with hands-on projects, beginner friendly, 3 months at 7h/week, 142k+ enrolled. Free with ReCoded.
IBM on Coursera - Python, SQL, ETL, Spark, 16 courses, ACE credits
IBM Data Engineering Professional Certificate on Coursera: 16 courses from Python and SQL to ETL with Airflow/Kafka, Spark big data, and a capstone - job-ready in under 5 months with ACE college credits. Beginner friendly, no programming required. Free with ReCoded.
MIT OCW - free computational thinking & data science
MIT's 6.0002 course covering optimization problems, graph-theoretic models, stochastic thinking, random walks, Monte Carlo simulation, confidence intervals, sampling, experimental data analysis, machine learning, clustering, and classification. Taught by Prof. Eric Grimson, Prof. John Guttag, and Dr. Ana Bell. Includes 15 lecture videos, problem sets, and programming assignments.
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