Data, AI, and Cloud Courses

Learn how to use Python to analyze customer churn and build a model to predict it.

Learn how to use Python to create, run, and analyze A/B tests to make proactive business decisions.

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

Learn how to set up and manage your Microsoft Fabric infrastructure.

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

Learn how to reduce training times for large language models with Accelerator and Trainer for distributed training

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

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

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

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

Begin your journey with Scala, a popular language for scalable applications and data engineering infrastructure.

Learn how to use conditional formatting with your data through built-in options and by creating custom formulas.

Learn survey design using common design structures followed by visualizing and analyzing survey results.

In this course, you’ll learn to classify, treat and analyze time series; an absolute must, if you’re serious about stepping up as an analytics professional.

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 how to access financial data from local files as well as from internet sources.

Learn about GARCH Models, how to implement them and calibrate them on financial data from stocks to foreign exchange.

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

Explore a range of programming paradigms, including imperative and declarative, procedural, functional, and object-oriented programming.

Learn business valuation with real-world applications and case studies using discounted cash flows (DCF).

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

Elevate decision-making skills with Decision Models, analysis methods, risk management, and optimization techniques.

Learn to create interactive dashboards with R using the powerful shinydashboard package. Create dynamic and engaging visualizations for your audience.

Leverage tidyr and purrr packages in the tidyverse to generate, explore, and evaluate machine learning models.

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

Learn how to efficiently collect and download data from any website using R.

Learn how to produce interactive web maps with ease using leaflet.

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

Prepare for your next statistics interview by reviewing concepts like conditional probabilities, A/B testing, the bias-variance tradeoff, and more.

Learn to streamline your machine learning workflows with tidymodels.