Data, AI, and Cloud Courses

Build on top of your Python skills for Finance, by learning how to use datetime, if-statements, DataFrames, and more.

Master Python testing: Learn methods, create checks, and ensure error-free code with pytest and unittest.

Learn to acquire data from common file formats and systems such as CSV files, spreadsheets, JSON, SQL databases, and APIs.

Learn key object-oriented programming concepts, from basic classes and objects to advanced topics like inheritance and polymorphism.

Explore data ethics with this comprehensive introductory course, covering principles, AI ethics, and practical skills to ensure responsible data use.

Gain the essential skills using Scikit-learn, SHAP, and LIME to test and build transparent, trustworthy, and accountable AI systems.

In this course you will learn the details of linear classifiers like logistic regression and SVM.

Apply PyTorch to images and use deep learning models for object detection with bounding boxes and image segmentation generation.

Learn to connect Tableau to different data sources and prepare the data for a smooth analysis.

Level up your GitHub skills with our intermediate course on GitHub Projects, Administration, and advanced security features.

Building on your foundational Power Query in Excel knowledge, this intermediate course takes you to the next level of data transformation mastery

Use generative AI to tackle data cleaning, fixing duplicates, nulls, and formatting for consistent, accurate datasets.

R Markdown is an easy-to-use formatting language for authoring dynamic reports from R code.

In this four-hour course, you’ll learn the basics of analyzing time series data in Python.

Learn about LLMOps from ideation to deployment, gain insights into the lifecycle and challenges, and learn how to apply these concepts to your applications.

In this course, you will use T-SQL, the flavor of SQL used in Microsofts SQL Server for data analysis.

Transform almost any dataset into a tidy format to make analysis easier.

Learn about data science for managers and businesses and how to use data to strengthen your organization.

Unlock BigQuerys power: grasp its fundamentals, execute queries, and optimize workflows for efficient data analysis.

Learn to use the KNIME Analytics Platform for data access, cleaning, and analysis with a no-code/low-code approach.

Master Apache Kafka! From core concepts to advanced architecture, learn to create, manage, and troubleshoot Kafka for real-world data streaming challenges!

Master Responsible AI Practices with this comprehensive course, featuring real-world case studies and interactive content.

Master Azure Management and Governance with our comprehensive course, ideal for data professionals seeking cloud expertise.

Learn essential data structures such as lists and data frames and apply that knowledge directly to financial examples.

In this course, you will be introduced to unsupervised learning through techniques such as hierarchical and k-means clustering using the SciPy library.

Learn how to perform financial analysis in Power BI or apply any existing financial skills using Power BI data visualizations.

Learn the fundamentals of gradient boosting and build state-of-the-art machine learning models using XGBoost to solve classification and regression problems.

Take your R skills up a notch by learning to write efficient, reusable functions.

You will investigate a dataset from a fictitious company called Databel in Tableau, and need to figure out why customers are churning.

This course focuses on feature engineering and machine learning for time series data.