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Data Science Courses and Certifications

Where to learn data science and which certifications to take, from Python and statistics to machine learning and analytics.

65 topics•7 categories•Updated October 2026

How to Choose a Path

8 entries

Data science combines programming, statistics and domain knowledge. A common route is Python and SQL, statistics and probability, data wrangling and visualization, then machine learning and a cloud or platform certification. Projects on real data matter as much as credentials.

01Data ScienceData science hub on this site. 02Learn Data ScienceFree courses, tutorials and cheat sheets on this site. 03Machine LearningMachine learning hub on this site. 04Python for Data SciencePython tutorials and handbooks for data science. 05Python Libraries for Data ScientistsNumPy, pandas, scikit-learn and more. 06StatisticsStatistics resources on this site. 07MathematicsMathematics resources on this site. 08Linear AlgebraLinear algebra courses and textbooks.

Step 1: Programming, SQL & Free Books

13 entries

Tools and core concepts.

09Kaggle LearnShort free lessons on Python, pandas, SQL and machine learning. 10Kaggle: Intro to Machine LearningFree first course on building models. 11Python Data Science HandbookFree online book on NumPy, pandas, Matplotlib and scikit-learn. 12R for Data ScienceFree book on data science with R and the tidyverse. 13An Introduction to Statistical LearningFree textbook on statistical learning with Python and R labs. 14SQLBoltInteractive SQL lessons. 15Mode SQL TutorialFree SQL tutorial for analytics. 16DataquestInteractive data science courses and paths. 17pandas: getting startedOfficial pandas introduction. 18NumPy: learnOfficial NumPy learning resources. 19scikit-learn: user guideOfficial guide to scikit-learn. 20JupyterNotebook environment widely used in data science. 21Posit (RStudio)Maker of RStudio and tools for R and Python data science.

Step 2: University Courses & Statistics

9 entries

Rigorous foundations from universities.

22MIT 6.0002: Computational Thinking and Data ScienceFree MIT course on computational models and data science. 23MIT 18.650: Statistics for ApplicationsFree MIT course on statistics. 24Stanford CS229: Machine LearningStanford's graduate machine learning course. 25Khan Academy: statistics and probabilityFree lessons on statistics and probability. 26Khan Academy: linear algebraFree lessons on linear algebra. 27edX: data scienceCatalogue of data science courses and programs. 28HarvardX Data Science Professional Certificate (edX)Professional certificate in R-based data science. 29Harvard Professional Certificate in Data ScienceHarvard program page for the data science certificate series. 30NPTELFree university courses from Indian institutes, including data science and machine learning.

Step 3: Professional Certificates & Specializations

10 entries

Structured programs with certificates.

31IBM Data Science Professional Certificate (Coursera)Professional certificate covering Python, SQL, machine learning and projects. 32Google Data Analytics Professional Certificate (Coursera)Beginner program on data analysis, spreadsheets, SQL, R and Tableau. 33Google Advanced Data Analytics Professional Certificate (Coursera)Follow-on program covering Python, statistics and machine learning. 34Microsoft Power BI Data Analyst Professional Certificate (Coursera)Program on Power BI and data analysis. 35Data Science specialization (Johns Hopkins, Coursera)University specialization on data science with R. 36Applied Data Science with Python (Coursera)University of Michigan specialization with Python. 37Machine Learning Specialization (DeepLearning.AI)Andrew Ng's machine learning specialization. 38Codecademy: data scienceInteractive data science career path. 39DataCamp: data scientist in PythonInteractive career track for data scientists. 40DataCamp certificationDataCamp's certification program.

Vendor & Platform Certifications

12 entries

Credentials on the platforms employers use.

41Databricks Certified Machine Learning AssociateDatabricks credential for machine learning on its platform. 42Databricks Certified Machine Learning ProfessionalAdvanced Databricks credential for production ML. 43AWS Certified Machine Learning Engineer – AssociateAssociate-level AWS credential for building and operating ML workloads. 44AWS Certified AI PractitionerEntry-level AWS credential on AI and ML concepts. 45Azure Data Scientist AssociateMicrosoft credential for data science on Azure; check the page for its current status. 46Azure Data FundamentalsEntry-level Microsoft data credential. 47Fabric Analytics Engineer AssociateMicrosoft credential for analytics on Fabric. 48Professional Machine Learning Engineer (Google Cloud)Professional-level Google Cloud ML credential. 49SAS Global CertificationSAS certifications in data science, analytics and programming. 50Tableau certificationTableau certifications for data analysts and visualization. 51MathWorks trainingMATLAB and Simulink courses. 52DAMA CDMP certificationData management certification with several levels.

Deep Learning, Communities & Practice

8 entries

Go deeper and keep learning.

53fast.ai Practical Deep LearningFree, code-first deep learning course. 54Hugging Face LearnFree courses on NLP, LLMs and agents. 55DeepLearning.AICourses on deep learning and generative AI. 56Machine Learning MasteryPractical tutorials on machine learning. 57KDnuggetsData science and machine learning news and resources. 58Analytics VidhyaData science community, courses and competitions. 59Skill Builder (AWS)AWS learning platform. 60Microsoft LearnFree learning paths for Azure and data.

Related Pages

5 entries

Neighbouring pages on this site.

61AI Courses and CertificationsAI learning guide. 62Data Engineering Courses and CertificationsData engineering learning guide. 63Cloud Computing Courses and CertificationsCloud learning guide. 64Free AI CoursesFree AI courses from top universities. 65Courses and CertificationsHub for all courses and certifications.

Frequently Asked Questions

Where should a beginner start in data science?

Learn Python and SQL, then statistics, using Kaggle Learn, the free textbooks listed here and an introductory course such as the Google Data Analytics or IBM Data Science certificates.

Which data science certification is best?

There is no single standard. Professional certificates from Google, IBM and HarvardX structure learning, while Databricks, AWS, Microsoft and Google Cloud certifications show platform skills employers use.

Do I need a degree?

Not always, but many roles ask for one. Strong projects on real data and a public portfolio help either way.

Python or R?

Python is more common in industry and machine learning. R is strong in statistics and academic work. Both have free books listed here.

How current is this page?

Links were checked in October 2026. Course catalogues, exam names and prices change often, so confirm details on each provider's own page. Descriptions summarize each provider's pages, and listing is not an endorsement. Sites that block automated checks, such as DataCamp, Tableau and MathWorks, are kept and may need a manual click.