Data science courses

This course will show you how to integrate spatial data into your Python Data Science workflow.

In this course, youll learn about the concepts of random variables, distributions, and conditioning.

Visualize seasonality, trends and other patterns in your time series data.

Discover the fundamentals of Git for version control in your software and data projects.

Learn about LLMOps from ideation to deployment, gain insights into the lifecycle and challenges, and learn how to apply these concepts to your applications.

Learn about MLOps architecture, CI/CD/CM/CT techniques, and automation patterns to deploy ML systems that can deliver value over time.

Create interactive data visualizations in Python using Plotly.

Help a fictional company in this interactive Power BI case study. You’ll use Power Query, DAX, and dashboards to identify the most in-demand data jobs!

In this course you will learn how to predict future events using linear regression, generalized additive models, random forests, and xgboost.

Unlock Alteryx for data transformation, mastering Crosstab, Transpose, and workflow optimization in this interactive course.

Learn how to work with streaming data using serverless technologies on AWS.

Learn how to use spaCy to build advanced natural language understanding systems, using both rule-based and machine learning approaches.

Julia is a new programming language designed to be the ideal language for scientific computing, machine learning, and data mining.

Learn how to approach and win competitions on Kaggle.

Detect anomalies in your data analysis and expand your Python statistical toolkit in this four-hour course.

Leverage the power of tidyverse tools to create publication-quality graphics and custom-styled reports that communicate your results.

Begin your journey with Scala, a popular language for scalable applications and data engineering infrastructure.

In this course, youll learn how to import and manage financial data in Python using various tools and sources.

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

Data storytelling is a high-demand skill that elevates analytics. Learn narrative building and visualizations in this course with a college major dataset!

Learn powerful command-line skills to download, process, and transform data, including machine learning pipeline.

Learn the core techniques necessary to extract meaningful insights from time series data.

Learn the skills needed to create impactful dashboards. Understand dashboard design fundamentals, visual analytics components, and dashboard types.

Master time series data manipulation in R, including importing, summarizing and subsetting, with zoo, lubridate and xts.

Master SQL Server programming by learning to create, update, and execute functions and stored procedures.

Explore Power BI Service, master the interface, make informed decisions, and maximize the power of your reports.

Learn how to use Python scripts in Power BI for data prep, visualizations, and calculating correlation coefficients.

This course provides an intro to clustering and dimensionality reduction in R from a machine learning perspective.

Learn the most important functions for manipulating, processing, and transforming data in SQL Server.

In this course youll learn to use and present logistic regression models for making predictions.