Data, AI, and Cloud Courses

Learn the nuts and bolts of LLMs and the revolutionary transformer architecture they are based on!

In this course, you will learn to read CSV, XLS, and text files in R using tools like readxl and data.table.

Enhance your reports with trend analysis techniques such as time series, decomposition trees, and key influencers.

Discover the fundamental concepts of object-oriented programming (OOP), building custom classes and objects!

Learn the key components of building a strong data culture within an organization.

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

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

Learn how and when to use hypothesis testing in R, including t-tests, proportion tests, and chi-square tests.

Continue your data visualization journey where youll learn practical techniques for incorporating DAX measures and progressive disclosure in your reports.

Learn the fundamentals of working with big data with PySpark.

In this course you will learn the basics of machine learning for classification.

Dive into the world of machine learning and discover how to design, train, and deploy end-to-end models.

Discover branches and remote repos for version control in collaborative software and data projects using Git!

Learn how to translate business questions to well-formed analytical questions and select the right analytical solutions.

Learn the essentials of VMs, containers, Docker, and Kubernetes. Understand the differences to get started!

Gain a clear understanding of data privacy principles and how to implement privacy and security processes.

Consolidate and extend your knowledge of Python data types such as lists, dictionaries, and tuples, leveraging them to solve Data Science problems.

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

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

Learn about fundamental deep learning architectures such as CNNs, RNNs, LSTMs, and GRUs for modeling image and sequential data.

Learn how to deploy and maintain assets in Power BI. You’ll get to grips with the Power BI Service interface and key elements in it like workspaces.

Data visualization is one of the most desired skills for data analysts. This course allows you to present your findings better using Tableau.

Learn to write SQL queries to calculate key metrics that businesses use to measure performance.

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

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

To understand Fabric’s main use cases, you will explore various tools in the seven Fabric experiences.

Explore the latest techniques for running the Llama LLM locally, fine-tuning it, and integrating it within your stack.

Learn the role Generative Artificial Intelligence plays today and will play in the future in a business environment.

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

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