Data Communication Concepts
No one enjoys looking at spreadsheets! Bring your data to life. Improve your presentation and learn how to translate technical data into actionable insights.
Follow short videos led by expert instructors and then practice what you’ve learned with interactive exercises in your browser.
No one enjoys looking at spreadsheets! Bring your data to life. Improve your presentation and learn how to translate technical data into actionable insights.
Learn about data science for managers and businesses and how to use data to strengthen your organization.
Dive in and learn how to create classes and leverage inheritance and polymorphism to reuse and optimize code.
In this course, you will learn to read CSV, XLS, and text files in R using tools like readxl and data.table.
Take your Tableau skills up a notch with advanced analytics and visualizations.
Learn the fundamentals of neural networks and how to build deep learning models using Keras 2.0 in Python.
Learn how to cluster, transform, visualize, and extract insights from unlabeled datasets using scikit-learn and scipy.
Learn the key concepts of data modeling on Power BI.
Learn to use Python for financial analysis using basic skills, including lists, data visualization, and arrays.
Improve your Python data importing skills and learn to work with web and API data.
A non-coding introduction to cloud computing, covering key concepts, terminology, and tools.
The Unix command line helps users combine existing programs in new ways, automate repetitive tasks, and run programs on clusters and clouds.
In this interactive Power BI course, you’ll learn how to use Power Query Editor to transform and shape your data to be ready for analysis.
This course will take you from Snowflake's foundational architecture to mastering advanced SnowSQL techniques.
Learn to use best practices to write maintainable, reusable, complex functions with good documentation.
Learn how and when to use common hypothesis tests like t-tests, proportion tests, and chi-square tests in Python.
Learn fundamental natural language processing techniques using Python and how to apply them to extract insights from real-world text data.
Explore the world of Pivot Tables within Google Sheets, and learn how to quickly organize thousands of data points with just a few clicks of the mouse.
Dashboards are a must-have in a data-driven world. Increase your impact on business performance with Tableau dashboards.
Learn to draw conclusions from limited data using Python and statistics. This course covers everything from random sampling to stratified and cluster sampling.
Gain a clear understanding of data privacy principles and how to implement privacy and security processes.
Use Seaborn's sophisticated visualization tools to make beautiful, informative visualizations with ease.
Expand your spreadsheets vocabulary by diving deeper into data types, including numeric data, logical data, and missing data.
Learn how to use graphical and numerical techniques to begin uncovering the structure of your data.
Learn how to analyze a SQL table and report insights to management.
Explore data structures such as linked lists, stacks, queues, hash tables, and graphs; and search and sort algorithms!
Join two or three tables together into one, combine tables using set theory, and work with subqueries in PostgreSQL.
Gain an introduction to Docker and discover its importance in the data professional’s toolkit. Learn about Docker containers, images, and more.
Learn to use SQL Server to perform common data manipulation tasks and master common data manipulation tasks using this database system.