Data science courses

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

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

Master Azure Management and Governance with our comprehensive course, ideal for data professionals seeking cloud expertise.

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

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

Prepare for your next coding interviews in Python.

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

Conquer NoSQL and supercharge data workflows. Learn Snowflake to work with big data, Postgres JSON for handling document data, and Redis for key-value data.

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

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

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

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

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

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

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

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

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.

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

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

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

Learn how to clean data with Apache Spark in Python.

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

Take your R skills up a notch by learning to write efficient, reusable functions.

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

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