Introduction to Google Sheets
Bring your Google Sheets to life by mastering fundamental skills such as formulas, operations, and cell references.
Follow short videos led by expert instructors and then practice what you’ve learned with interactive exercises in your browser.
Bring your Google Sheets to life by mastering fundamental skills such as formulas, operations, and cell references.
Gain an introduction to Docker and discover its importance in the data professional’s toolkit. Learn about Docker containers, images, and more.
Learn how to implement and schedule data engineering workflows.
Master your skills in NumPy by learning how to create, sort, filter, and update arrays using NYC’s tree census.
Explore AI ethics focusing on principles, fairness, bias reduction, and trust in AI design.
Learn about the power of Databricks Lakehouse and help you scale up your data engineering and machine learning skills.
Explore data structures such as linked lists, stacks, queues, hash tables, and graphs; and search and sort algorithms!
Discover modern data architecture's key components, from ingestion and serving to governance and orchestration.
Learn to use Python for financial analysis using basic skills, including lists, data visualization, and arrays.
In this course, you will learn to read CSV, XLS, and text files in R using tools like readxl and data.table.
Learn to retrieve and parse information from the internet using the Python library scrapy.
Master data modeling in Power BI.
Dashboards are a must-have in a data-driven world. Increase your impact on business performance with Tableau dashboards.
Learn the fundamentals of neural networks and how to build deep learning models using Keras 2.0 in Python.
Learn how to clean and prepare your data for machine learning!
Learn to combine data across multiple tables to answer more complex questions with dplyr.
Elevate your data storytelling skills and discover how to tell great stories that drive change with your audience.
Discover the world of Amazon Web Services (AWS) and understand why it's at the forefront of cloud computing.
This introductory course will help you hone the skills to build effective, performant, and reliable data pipelines.
Apply your skills to import, analyze and visualize Human Resources (HR) data using Power BI.
Discover a wide range of DAX calculations and learn how to use them in Microsoft Power BI.
In this course you'll learn the basics of working with time series data.
Learn to start developing deep learning models with Keras.
Learn about the world of data engineering in this short course, covering tools and topics like ETL and cloud computing.
Learn the fundamentals of working with big data with PySpark.
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.
Learn how to manipulate and visualize categorical data using pandas and seaborn.
Understand the fundamentals of Machine Learning and how it's applied in the business world.
Learn how to work with dates and times in Python.