Data, AI, and Cloud Courses

Learn to design and run your own Monte Carlo simulations using Python!

Learn the essentials of parsing, manipulating and computing with dates and times in R.

In ecommerce, increasing sales and reducing costs are key. Analyze data from an online pet supply company using Power BI.

Discover how to use the income statement and balance sheet in Power BI

Learn what Bayesian data analysis is, how it works, and why it is a useful tool to have in your data science toolbox.

This course teaches the big ideas in machine learning like how to build and evaluate predictive models.

In this course youll learn about basic experimental design, a crucial part of any data analysis.

Learn how to make predictions about the future using time series forecasting in R including ARIMA models and exponential smoothing methods.

Master Amazon Redshifts SQL, data management, optimization, and security.

Explore the concepts and applications of linear models with python and build models to describe, predict, and extract insight from data patterns.

Learn how to use Power BI for supply chain analytics in this case study. Create a make vs. buy analysis tool, calculate costs, and analyze production volumes.

The Generalized Linear Model course expands your regression toolbox to include logistic and Poisson regression.

This course is for R users who want to get up to speed with Python!

Learn to build recommendation engines in Python using machine learning techniques.

Explore association rules in market basket analysis with Python by bookstore data and creating movie recommendations.

Learn to write scripts that will catch and handle errors and control for multiple operations happening at once.

Streamline your AI projects by building modular models and mastering advanced optimization with PyTorch Lightning!

Learn how to develop deep learning models with Keras.

This Power BI case study follows a real-world business use case on tackling inventory analysis using DAX and visualizations.

Learn efficient techniques in pandas to optimize your Python code.

Master marketing analytics using Tableau. Analyze performance, benchmark metrics, and optimize strategies across channels.

Develop a strong intuition for how hierarchical and k-means clustering work and learn how to apply them to extract insights from your data.

From customer lifetime value, predicting churn to segmentation - learn and implement Machine Learning use cases for Marketing in Python.

Create a healthcare AI agent using Haystack, an open-source framework for orchestrating LLMs and external components.

Explore the Stanford Open Policing Project dataset and analyze the impact of gender on police behavior using pandas.

Become an expert in fitting ARIMA (autoregressive integrated moving average) models to time series data using R.

Learn basic business modeling including cash flows, investments, annuities, loan amortization, and more using Google Sheets.

Learn to work with time-to-event data. The event may be death or finding a job after unemployment. Learn to estimate, visualize, and interpret survival models!

Learn how to segment customers in Python.

This Power BI case study follows a real-world business use case where you will apply the concepts of ETL and visualization.