Databricks Courses

Apache Spark (TM) SQL for Data Analysts

524 ratings at Coursera

Use existing SQL skills on Spark: run queries on Databricks, explore Spark's execution engine, write complex queries, and ingest and optimize data with Delta Lake.

• Coursera
• 13 hours 44 minutes
• No Longer Offered
• Paid Course

Career Certificate

Large Language Models

1 rating

Build production-ready LLM applications: fine-tune open-source models into custom chat models, apply LLMOps at scale, evaluate bias, and trace LSTMs through Transformers, BERT, GPT, and T5.

• edX
• 10 weeks, 4-9 hours a week
• Not Currently Offered
• $198.00
• 2 courses

Career Certificate

Introduction to Computational Statistics for Data Scientists

109 ratings at Coursera

Learn Bayesian probability and inference in Python: Monte Carlo approximation methods, PyMC3 modeling, and the PyData stack of NumPy, Pandas, SciPy, Matplotlib and Seaborn.

• Coursera
• 4 weeks, 10 hours/week
• No Longer Offered
• Paid Course
• 3 courses

Introduction to Bayesian Statistics

89 ratings at Coursera

Learn the foundations of probability and Bayesian modeling: work through common distributions, maximum likelihood and kernel density estimation, and sampling algorithms with Python notebooks.

• Coursera
• 12 hours 47 minutes
• No Longer Offered
• Paid Course

Data Science Fundamentals for Data Analysts

56 ratings at Coursera

Learn to design, execute, assess, and communicate data science projects, covering introductory statistics, practical machine learning, and how data science solves real problems.

• Coursera
• 18 hours 58 minutes
• No Longer Offered
• Paid Course

Applied Data Science for Data Analysts

54 ratings at Coursera

Work through the data science process: explore data with unsupervised learning, engineer and select features, build tree-based models, and tune hyperparameters using cross-validation.

• Coursera
• 16 hours 31 minutes
• No Longer Offered
• Paid Course

Large Language Models: Application through Production

45 ratings at edX

This course is aimed at developers, data scientists, and engineers looking to build LLM-centric applications with the latest and most popular frameworks. By the end of this course, you will have built an end-to-end LLM workflow that is ready for producti…

• edX
• 6 weeks, 4-10 hours a week
• No Longer Offered
• Free Online Course (Audit)

Introduction to PyMC3 for Bayesian Modeling and Inference

20 ratings at Coursera

Build Bayesian models in PyMC3: run regression and classification, handle outliers, create hierarchical models, assess MCMC metrics with ArviZ, and infer SIR parameters for COVID-19.

• Coursera
• 11 hours 43 minutes
• No Longer Offered
• Paid Course

Bayesian Inference with MCMC

20 ratings at Coursera

Implement Markov Chain Monte Carlo methods in Python: Metropolis and Metropolis-Hastings, Gibbs sampling, Hamiltonian Monte Carlo, plus model-quality metrics rooted in information theory.

• Coursera
• 14 hours 38 minutes
• No Longer Offered
• Paid Course

Career Certificate

Data Science with Databricks for Data Analysts

Extend SQL analyst skills to Databricks and Apache Spark: query data with Spark SQL, learn data science fundamentals, and apply machine learning to business problems.

• Coursera
• 22 weeks, 2 hours a week
• No Longer Offered
• Paid Course

Large Language Models: Foundation Models from the Ground Up

Explore transformer-based foundation models from the inside: attention fundamentals, encoder (BERT), decoder (GPT) and encoder-decoder (T5) designs, Flash Attention, LoRA, PEFT, and multi-modal LLMs.

• edX
• 4 weeks, 4-8 hours a week
• No Longer Offered
• Free Online Course (Audit)