Data science courses

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

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

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

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

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

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.

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

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

Learn to use facets, coordinate systems and statistics in ggplot2 to create meaningful explanatory plots.

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

Find tables, store and manage new tables and views, and write maintainable SQL code to answer business questions.

Discover the fundamentals of Git for version control in your software and data projects.

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

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

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

Learn the fundamentals of AI security to protect systems from threats, align security with business goals, and mitigate key risks.

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

Unlock more advanced AI applications, like semantic search and recommendation engines, using OpenAIs embedding model!

Learn how to leverage statistical techniques using spreadsheets to more effectively work with and extract insights from your data.

Discover how to make better business decisions by applying practical data frameworks—no coding required.

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

Gain an introduction to data governance, exploring its meaning, purpose, and how to implement a data governance framework.

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

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

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

Create new features to improve the performance of your Machine Learning models.

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

Leverage the OpenAI API to get your AI applications ready for production.

Expand your Google Sheets vocabulary by diving deeper into data types, including numeric data, logical data, and missing data.

Learn the fundamentals of neural networks and how to build deep learning models using TensorFlow.