Data science courses

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

Learn to draw conclusions from limited data using Python and statistics. This course covers everything from random sampling to stratified and cluster sampling.

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

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

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

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

Learn the fundamentals of neural networks and how to build deep learning models using Keras 2.0 in Python.

Learn to combine data across multiple tables to answer more complex questions with dplyr.

Learn about the power of Databricks Lakehouse and help you scale up your data engineering and machine learning skills.

Master data modeling in Power BI.

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

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

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

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

Explore AI ethics focusing on principles, fairness, bias reduction, and trust in AI design.

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

Learn to start developing deep learning models with Keras.

In this course you'll learn the basics of working with time series data.

Enhance your reports with Power BI's Exploratory Data Analysis (EDA). Learn what EDA is for Power BI and how it can help you extract insights from your data.

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

Dive into the Python ecosystem, discovering modules and packages along with how to write custom functions!

This introductory course will help you hone the skills to build effective, performant, and reliable data pipelines.

Gain a clear understanding of data privacy principles and how to implement privacy and security processes.

Learn the fundamentals of working with big data with PySpark.

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

Learn how to work with dates and times in Python.

Learn how to implement and schedule data engineering workflows.

Learn about modularity, documentation, and automated testing to help you solve data science problems more quickly and reliably.

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

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