Data science courses

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

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

Learn about string manipulation and become a master at using regular expressions.

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

Prepare for your next coding interviews in Python.

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

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

Build up your pandas skills and answer marketing questions by merging, slicing, visualizing, and more!

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

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

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

Learn to create your own Python packages to make your code easier to use and share with others.

Learn how to make attractive visualizations of geospatial data in Python using the geopandas package and folium maps.

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

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

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

Learn how to build your own SQL reports and dashboards, plus hone your data exploration, cleaning, and validation skills.

Learn to process, transform, and manipulate images at your will.

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

Build the foundation you need to think statistically and to speak the language of your data.

Master data preparation, cleaning, and analysis in Alteryx Designer, whether you are a new or seasoned analyst.

Shiny is an R package that makes it easy to build interactive web apps directly in R, allowing your team to explore your data as dashboards or visualizations.

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

Discover how Marketing Analysts use data to understand customers and drive business growth.

This introductory course on data culture provides an essential understanding of data culture concepts and their practical applications.

Learn how to clean data with Apache Spark in Python.

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

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

Explore Large Language Models (LLMs) in business. Realize their value and where you can begin utilizing them today.