Data, AI, and Cloud Courses

Explore the basics of data quality management. Learn the key concepts, dimensions, and techniques for monitoring and improving data quality.

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

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

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

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

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

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

Learn the fundamentals of working with big data with PySpark.

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

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

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

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

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

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

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

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

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

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

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

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

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.

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

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

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

Learn to use Google Sheets to clean, analyze, and draw insights from data. Discover how to sort, filter, and use VLOOKUP to combine data.

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

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.

Learn to clean data as quickly and accurately as possible to help you move from raw data to awesome insights.

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