Explore the basics of time series analysis and forecasting models in Python.

This course covers data science, machine learning, and big data basics, including key concepts, libraries, and hands-on Kaggle projects for practical learning.

Learn Anaconda and run Python programs on the web browser

Learn essential Linux & Unix to efficiently manage applications from the command line. Meet the basics of source code management with Git and Github. Also, go over the pillars of DevOps like Continuous Integration/Continuous Deployment, the paradigm shift in systems management with Infrastructure as Code and the creation of containers to assure the CI/CD pipeline.

Learn essential Linux & Unix to efficiently manage applications from the command line. Meet the basics of source code management with Git and Github. Also, go over the pillars of DevOps like Continuous Integration/Continuous Deployment, the paradigm shift in systems management with Infrastructure as Code and the creation of containers to assure the CI/CD pipeline.

Learn essential Linux & Unix to efficiently manage applications from the command line. Meet the basics of source code management with Git and Github. Also, go over the pillars of DevOps like Continuous Integration/Continuous Deployment, the paradigm shift in systems management with Infrastructure as Code and the creation of containers to assure the CI/CD pipeline.

Learn to analyze and visualize data using Python and statistics.

Use R to process, analyze, and visualize data.

Level up in financial analytics by learning Python to process, analyze, and visualize financial data.

Use NFL team statistics to model game winners and discover the most important team-level stats

Use sentiment analysis and natural language processing to analyze Taylor Swift's lyrics.

Create data visualizations of traffic data from the last two decades and model the relationship between smartphones and collision rates.