Data science courses

In this course, youll learn how to use tree-based models and ensembles for regression and classification using scikit-learn.

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

Bring your Google Sheets to life by mastering fundamental skills such as formulas, operations, and cell references.

Master data modeling in Power BI.

Gain an introduction to Docker and discover its importance in the data professional’s toolkit. Learn about Docker containers, images, and more.

Learn to use Python for financial analysis using basic skills, including lists, data visualization, and arrays.

Learn how to implement and schedule data engineering workflows.

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

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

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

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

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

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

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

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

Dive into the exciting world of APIs as we introduce you to the basics of consuming and working with Web APIs using Python.

Learn how to work with dates and times in Python.

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

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

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

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

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

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

Master Power Pivot in Excel to help import data, create relationships, and utilize DAX. Build dynamic dashboards to uncover actionable insights.

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

Learn the fundamentals of working with big data with PySpark.

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

Implement experimental design setups and perform robust statistical analyses to make precise and valid conclusions!

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

Understand the fundamentals of Machine Learning and how its applied in the business world.