Data, AI, and Cloud Courses

Learn how to write recursive queries and query hierarchical data structures.

In this course youll learn how to perform inference using linear models.

Develop a better intuition for advanced probability, risk assessment, and simulation techniques to make data-driven business decisions with confidence.

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

Apply statistical modeling in a real-life setting using logistic regression and decision trees to model credit risk.

Develop the skills you need to clean raw data and transform it into accurate insights.

Use your knowledge of common spreadsheet functions and techniques to explore Python!

Learn how to design and implement triggers in SQL Server using real-world examples.

Learn the bag of words technique for text mining with R.

Learn how to use FastAPI to develop APIs that support AI models, built to meet real-world demands.

Learn to analyze financial statements using Python. Compute ratios, assess financial health, handle missing values, and present your analysis.

Learn key financial concepts such as capital investment, WACC, and shareholder value.

Analyze time series graphs, use bipartite graphs, and gain the skills to tackle advanced problems in network analytics.

Are you curious about the inner workings of the models that are behind products like Google Translate?

Explore latent variables, such as personality, using exploratory and confirmatory factor analyses.

Master travel planning with WanderBot: craft prompts, build confidence, and streamline your next adventure.

In this Power BI case study you’ll play the role of a junior trader, analyzing mortgage trading and enhancing your data modeling and financial analysis skills.

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!

Get hands-on experience making sound conclusions based on data in this four-hour course on statistical inference in Python.

Learn how to transform raw data into clean, reliable models with dbt through hands-on, real-world exercises.

Learn to analyze and visualize network data with the igraph package and create interactive network plots with threejs.

Learn tools and techniques to leverage your own big data to facilitate positive experiences for your users.

Discover how to analyze and visualize baseball data using Power BI. Create scatter plots, tornado charts, and gauges to bring baseball insights alive.

Specify and fit GARCH models to forecast time-varying volatility and value-at-risk.

Learn to analyze Airbnb data using SQL in Databricks, create dashboards, and derive actionable insights.

Learn how to load, transform, and transcribe speech from raw audio files in Python.

This course will show you how to combine and merge datasets with data.table.

Learn how computers work, design efficient algorithms, and explore computational theory to solve real-world problems.

Enhance your KNIME skills with our course on data transformation, column operations, and workflow optimization.

Step into the role of CFO and learn how to advise a board of directors on key metrics while building a financial forecast.