Data, AI, and Cloud Courses

Learn how to manipulate and visualize categorical data using pandas and seaborn.

Learn how to blend business, data, and AI, and set goals to drive success with an effectively scalable AI Strategy.

Build robust, production-grade APIs with FastAPI, mastering HTTP operations, validation, and async execution to create efficient data and ML pipelines.

Build a customer-support assistant step-by-step with Google’s Agent Development Kit (ADK).

Learn the skills needed to create impactful dashboards. Understand dashboard design fundamentals, visual analytics components, and dashboard types.

In this course, you will learn the fundamentals of Kubernetes and deploy and orchestrate containers using Manifests and kubectl instructions.

Learn how to use graphical and numerical techniques to begin uncovering the structure of your data.

Learn about the world of data engineering in this short course, covering tools and topics like ETL and cloud computing.

Master AWS cloud technology with hands-on learning and practical applications in the AWS ecosystem.

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

Discover how the Pinecone vector database is revolutionizing AI application development!

Learn to retrieve and parse information from the internet using the Python library scrapy.

Implement experimental design setups and perform robust statistical analyses to make precise and valid conclusions!

Discover modern data architectures key components, from ingestion and serving to governance and orchestration.

Learn to combine data across multiple tables to answer more complex questions with dplyr.

Learn the fundamentals of working with big data with PySpark.

Understand the fundamentals of Machine Learning and how its applied in the business world.

Learn about Large Language Models (LLMs) and how they are reshaping the business world.

Master Excel basics quickly: navigate spreadsheets, apply formulas, analyze data, and create your first charts!

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

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

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

In this course youll learn the basics of working with time series data.

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

Learn the fundamentals of neural networks and how to build deep learning models using Keras 2.0 in Python.

Step right into the dynamic world of data modeling with Snowflake!

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

Master Power Pivot in Excel to help import data, create relationships, and utilize DAX. Build dynamic dashboards to uncover actionable insights.

Create interactive data visualizations in Python using Plotly.

Build powerful multi-agent systems by applying emerging agentic design patterns in the LangGraph framework.