Working with Dates and Times in Python
Learn how to work with dates and times in Python.
Follow short videos led by expert instructors and then practice what you’ve learned with interactive exercises in your browser.
Learn how to work with dates and times in Python.
Learn to use facets, coordinate systems and statistics in ggplot2 to create meaningful explanatory plots.
Learn to use SQL Server to perform common data manipulation tasks and master common data manipulation tasks using this database system.
Explore AI ethics focusing on principles, fairness, bias reduction, and trust in AI design.
In this course, you'll learn how to use tree-based models and ensembles for regression and classification using scikit-learn.
Data Analysis Expressions (DAX) allow you to take your Power BI skills to the next level by writing custom functions.
Transform almost any dataset into a tidy format to make analysis easier.
Learn to retrieve and parse information from the internet using the Python library scrapy.
This course introduces dbt for data modeling, transformations, testing, and building documentation.
This introductory course on data culture provides an essential understanding of data culture concepts and their practical applications.
Learn how to manipulate and visualize categorical data using pandas and seaborn.
Gain an introduction to Docker and discover its importance in the data professional’s toolkit. Learn about Docker containers, images, and more.
Learn the fundamentals of data visualization using spreadsheets.
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.
Learn about modularity, documentation, and automated testing to help you solve data science problems more quickly and reliably.
You’ll learn how to (un)pivot, transpose, append and join tables. Gain power with custom columns, M language, and the Advanced Editor.
This introductory and conceptual course will help you understand the fundamentals of data warehousing.
R Markdown is an easy-to-use formatting language for authoring dynamic reports from R code.
In this course you'll learn how to get your cleaned data ready for modeling.
Master data modeling in Power BI.
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.
Master your skills in NumPy by learning how to create, sort, filter, and update arrays using NYC’s tree census.
Learn to acquire data from common file formats and systems such as CSV files, spreadsheets, JSON, SQL databases, and APIs.
Start your journey developing AI-powered applications with the OpenAI API. Learn about the functionality that underpins popular AI applications like ChatGPT.
Discover a wide range of DAX calculations and learn how to use them in Microsoft Power BI.
Learn how to leverage statistical techniques using spreadsheets to more effectively work with and extract insights from your data.
Discover modern data architecture's key components, from ingestion and serving to governance and orchestration.
Consolidate and extend your knowledge of Python data types such as lists, dictionaries, and tuples, leveraging them to solve Data Science problems.
Understand the fundamentals of Machine Learning and how it's applied in the business world.