Data, AI, and Cloud Courses

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

Use RNA-Seq differential expression analysis to identify genes likely to be important for different diseases or conditions.

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

Learn how to make GenAI models truly reflect human values while gaining hands-on experience with advanced LLMs.

Learn the fundamentals of exploring, manipulating, and measuring biomedical image data.

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

Learn how to use tree-based models and ensembles to make classification and regression predictions with tidymodels.

Learn about the challenges of monitoring machine learning models in production, including data and concept drift, and methods to address model degradation.

Learn fundamental probability concepts like random variables, mean and variance, probability distributions, and conditional probabilities.

Learn how to transform and analyze data within your Microsoft Fabric account

Learn to solve real-world optimization problems using Pythons SciPy and PuLP, covering everything from basic to constrained and complex optimization.

Learn how to identify, analyze, remove and impute missing data in Python.

Build real-world applications with Python—practice using OOP and software engineering principles to write clean and maintainable code.

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

Learn how to use GPT tools responsibly and confidently. Discover how these tools work and techniques for writing prompts and evaluating outputs.

Learn about how dates work in R, and explore the world of if statements, loops, and functions using financial examples.

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

Learn about AWS Boto and harnessing cloud technology to optimize your data workflow.

Learn how to visualize time series in R, then practice with a stock-picking case study.

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

Master data fluency! Learn skills for individuals and organizations, understand behaviors, and build a data-fluent culture.

Learn the most important functions for manipulating, processing, and transforming data in SQL Server.

Learn to perform the two key tasks in statistical inference: parameter estimation and hypothesis testing.

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

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

Explore Data Version Control for ML data management. Master setup, automate pipelines, and evaluate models seamlessly.

Explore Alteryx Designer in a retail data case study to boost sales analysis and strategic decision-making.

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

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 to streamline your machine learning workflows with tidymodels.