Courses and Certifications

Cloud certificates

- Microsoft Certified: Azure AI Fundamentals

Specialization certificates

- Machine Learning with TensorFlow on Google Cloud Platform:
  - How Google does Machine Learning
  - Launching into Machine Learning
  - Intro to TensorFlow
  - Feature Engineering
  - Art and Science of Machine Learning
- From Data to Insights with Google Cloud Platform:
  - Exploring and Preparing your Data with BigQuery
  - Creating New BigQuery Datasets and Visualizing Insights
  - Achieving Advanced Insights with BigQuery
  - Applying Machine Learning to your Data with GCP

Course certificates

- Google Cloud Platform Big Data and Machine Learning Fundamentals
- Machine Learning Pipelines with Azure ML Studio
- Entendiendo un proceso de MLOps con Azure Databricks
- Data Analysis Tools
- A Crash Course in Causality: Inferring Causal Effects from Observational Data
- Improving your Statistical Inferences
- Improving your Statistical Questions
- Design and Interpretation of Clinical Trials
- Machine Learning APIs
- Scientific Data Processing
- Introduction to Machine Learning
- Game Theory II: Advanced Applications
- Customer Value in Pricing Strategy
- Survey analysis to Gain Marketing Insights
- Measure and Optimize Social Media Marketing Campaigns

More course certificates (link)

Programming

- Introduction to Airflow in Python
- Introduction to PySpark
- Introduction to Shell for Data Science
- Writing Efficient Python Code
- Writing Efficient Code with pandas
- Writing Efficient R Code
- Python Data Science Toolbox (Part 1)
- Intermediate Python for Data Science
- Intermediate R
- Introduction to Python
- Introduction to R

Machine Learning

- Deep Learning in Python
- Advanced Dimensionality Reduction in R
- Image Processing in Python
- Biomedical Image Analysis in Python
- Supply Chain Analytics in Python
- Hyperparameter Tuning in Python
- Machine Learning with Tree-Based Models in Python
- Supervised Learning with scikit-learn
- Generalized Linear Models in Python
- Machine Learning for Time Series Data in Python
- Machine Learning Toolbox
- Supervised Learning in R: Regression
- Data Analysis in R, the data.table Way

Probability & Statistics

- Hierarchical and Mixed Effects Models
- Bayesian Data Analysis in Python
- Designing and Analyzing Clinical Trials in R
- Customer Analytics & A/B Testing in Python
- Fundamentals of Bayesian Data Analysis in R
- Bayesian Modeling with RJAGS
- Multiple and Logistic Regression
- Introduction to Time Series Analysis in Python
- Inference for Linear Regression
- Foundations of Inference
- Foundations of Probability in R
- Introduction to Linear Modeling in Python
- Correlation and Regression
- Intro to Statistics with R Analysis of Variance (ANOVA)
- Intro to Statistics with R Student's T-test

Data manipulation

- Introduction to Spark SQL with Python
- pandas Foundations
- Improving Query Performance in SQL Server
- Joining Data in SQL
- Intro to SQL for Data Science

Importing & Cleaning Data

- Cleaning Data in R
- Importing Data in R (Part 2)
- Importing Data in R (Part 1)
- Importing Data in Python (Part 1)