Intermediate Importing Data in Python
Improve your Python data importing skills and learn to work with web and API data.
Follow short videos led by expert instructors and then practice what you’ve learned with interactive exercises in your browser.
Improve your Python data importing skills and learn to work with web and API data.
Learn the key concepts of data modeling on Power BI.
Discover the world of Amazon Web Services (AWS) and understand why its at the forefront of cloud computing.
This course will take you from Snowflakes foundational architecture to mastering advanced SnowSQL techniques.
Learn how to cluster, transform, visualize, and extract insights from unlabeled datasets using scikit-learn and scipy.
Learn the most important PostgreSQL functions for manipulating, processing, and transforming data.
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 how to create a range of visualizations in Excel for different data layouts, ensuring you incorporate best practices to help you build dashboards.
In this course, youll learn how to use tree-based models and ensembles for regression and classification using scikit-learn.
Predict housing prices and ad click-through rate by implementing, analyzing, and interpreting regression analysis in R.
This introductory and conceptual course will help you understand the fundamentals of data warehousing.
Bring your Google Sheets to life by mastering fundamental skills such as formulas, operations, and cell references.
Learn fundamental natural language processing techniques using Python and how to apply them to extract insights from real-world text data.
Take your Tableau skills up a notch with advanced analytics and visualizations.
Learn the architecture behind GPT models and master advanced prompt crafting to unlock ChatGPTs full potential.
Discover the fundamentals of Git for version control in your software and data projects.
Predict housing prices and ad click-through rate by implementing, analyzing, and interpreting regression analysis with statsmodels in Python.
Build Python skills to elevate your finance career. Learn how to work with lists, arrays and data visualizations to master financial analyses.
Gain an introduction to Docker and discover its importance in the data professional’s toolkit. Learn about Docker containers, images, and more.
The Unix command line helps users combine existing programs in new ways, automate repetitive tasks, and run programs on clusters and clouds.
Learn how and when to use common hypothesis tests like t-tests, proportion tests, and chi-square tests in Python.
Data Analysis Expressions (DAX) allow you to take your Power BI skills to the next level by writing custom functions.
Learn to build effective, performant, and reliable data pipelines using Extract, Transform, and Load principles.
You’ll learn how to (un)pivot, transpose, append and join tables. Gain power with custom columns, M language, and the Advanced Editor.
This course dives deeper into the Azures backbone by going into topics like containers, virtual machines and much more.
Master your skills in NumPy by learning how to create, sort, filter, and update arrays using NYC’s tree census.
Learn to draw conclusions from limited data using Python and statistics. This course covers everything from random sampling to stratified and cluster sampling.
Learn to use SQL Server to perform common data manipulation tasks and master common data manipulation tasks using this database system.
Learn to use best practices to write maintainable, reusable, complex functions with good documentation.
Learn about the Databricks Lakehouse platform and how it can modernize data architectures and improve data management processes.