Data science courses

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

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

Learn to perform the two key tasks in statistical inference: parameter estimation and hypothesis testing.

Learn to manipulate and analyze flexibly structured data with MongoDB.

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

Learn how to manipulate data and create machine learning feature sets in Spark using SQL in Python.

Create interactive data visualizations in Python using Plotly.

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

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!

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

Master data fluency! Learn skills for individuals and organizations, understand behaviors, and build a data-fluent culture.

Learn how to detect fraud using Python.

In this course, students will learn to write queries that are both efficient and easy to read and understand.

Learn how to build interactive and insight-rich dashboards with Dash and Plotly.

Explore ways to work with date and time data in SQL Server for time series analysis

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

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

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

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

Elevate decision-making skills with Decision Models, analysis methods, risk management, and optimization techniques.

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

Analyze text data in R using the tidy framework.

In this case study, you’ll use visualization techniques to find out what skills are most in-demand for data scientists, data analysts, and data engineers.

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

Learn the gritty details that data scientists are spending 70-80% of their time on; data wrangling and feature engineering.

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

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

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

Use data manipulation and visualization skills to explore the historical voting of the United Nations General Assembly.

Learn to build recommendation engines in Python using machine learning techniques.