Data, AI, and Cloud Courses

In this course, youll learn how to collect Twitter data and analyze Twitter text, networks, and geographical origin.

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

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

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

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.

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

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

Discover what all of the DeepSeek hype was really about! Build applications using DeepSeeks R1 and V3 models.

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

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.

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

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

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

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

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

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

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

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

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

Learn how to import, clean and manipulate IoT data in Python to make it ready for machine learning.

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

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

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

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

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

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

Learn how bonds work and how to price them and assess some of their risks using the numpy and numpy-financial packages.