Data science courses

Learn how to analyze a SQL table and report insights to management.

Learn about the Databricks Lakehouse platform and how it can modernize data architectures and improve data management processes.

Elevate your data storytelling skills and discover how to tell great stories that drive change with your audience.

Dive in and learn how to create classes and leverage inheritance and polymorphism to reuse and optimize code.

Master your skills in NumPy by learning how to create, sort, filter, and update arrays using NYC’s tree census.

Learn how to implement and schedule data engineering workflows.

Explore data structures such as linked lists, stacks, queues, hash tables, and graphs; and search and sort algorithms!

Master data modeling in Power BI.

Dive deep into the principles and best practices of prompt engineering to leverage powerful language models like ChatGPT to solve real-world problems.

Learn how to build impactful reports with Power BI’s Exploratory Data Analysis (EDA) that uncover insights faster and drive business value.

Explore Excel Power Query for advanced data transformation and cleansing to boost your decision-making and analysis.

Dashboards are a must-have in a data-driven world. Increase your impact on business performance with Tableau dashboards.

Enter the world of Alteryx Designer and learn how to navigate the tool to load, prepare, and aggregate data.

Discover how MLOps can take machine learning models from local notebooks to functioning models in production that generate real business value.

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

Discover a wide range of DAX calculations and learn how to use them in Microsoft Power BI.

Discover how to extract business value from AI. Learn to scope opportunities for AI, create POCs, implement solutions, and develop an AI strategy.

Discover how to build AI-powered applications using LLMs, prompts, chains, and agents in LangChain.

Learn how to clean and prepare your data for machine learning!

Learn how to use GitHubs various features, navigate the interface and perform everyday collaborative tasks.

Learn how to use graphical and numerical techniques to begin uncovering the structure of your data.

Learn about Excel financial modeling, including cash flow, scenario analysis, time value, and capital budgeting.

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

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

This course introduces dbt for data modeling, transformations, testing, and building documentation.

Apply your skills to import, analyze and visualize Human Resources (HR) data using Power BI.

Learn how to work with dates and times in Python.

Learn to write efficient code that executes quickly and allocates resources skillfully to avoid unnecessary overhead.

Take your Power BI visualizations up a level with the skills you already have. Learn alternative data storytelling techniques to simply building dashboards.

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